Understanding Learner's Drop-out in MOOCs
0 likes170 views
The document discusses understanding and predicting learner drop-out rates in Massive Open Online Courses (MOOCs). It presents a predictive system that identifies at-risk students based on their engagement trajectory and highlights findings from case studies involving various educational contexts. The research emphasizes the importance of personalized feedback and suitable intervention strategies for improving learner retention.
1 of 14
Download to read offline
![The structure of a course may not be helpful
to all participants and supporting different patterns of
engagement may be beneficial [Onah et. al, 2014]
Deficiency in some skills
(digital skills or prerequisite)
Bad MOOC design
(inefficient material, high workload)
Lack of intention to complete
(material hunter, curious explorers)
Inaccurate expectations
(misunderstanding about the objectives or
content)
UNDERSTANDING LEARNERS DROP-OUT IN MOOCS
Alya Itani, Laurent Brisson, Serge Garlatti
The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018
UNDERSTANDING LEARNERS DROP-OUT IN MOOCS
Problems
3](https://image.slidesharecdn.com/brissonideal2018-190529133727/85/Understanding-Learner-s-Drop-out-in-MOOCs-3-320.jpg)
![The most discriminating feature is a descriptive indicator
(completed activity, grades, time spent)
Diagnostic:
Is the activity motivating? [Viau, 2000]
Does the activity respect constructive alignment?
The activity is a lesson or an exercise:
Identify difficulties (unannounced prerequisites, ...)
Check the target audience of the course
The activity is an assessment :
Identify difficulties (complex statements, ...)
Check the activity (workload, kind of assessment, ...)
UNDERSTANDING LEARNERS DROP-OUT IN MOOCS
Alya Itani, Laurent Brisson, Serge Garlatti
The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018
RESULTS
Situation 1 Doing an activity increases the probability of drop-out
10](https://image.slidesharecdn.com/brissonideal2018-190529133727/85/Understanding-Learner-s-Drop-out-in-MOOCs-10-320.jpg)
![[Onah et al., 2014] Onah, D. F. O., Sinclair, J., & Boyatt, R. (2014). Dropout rates of
massive open online courses behavioural patterns. 6th International Conference on
Education and New Learning Technologies, 58255834.
https://doi.org/10.13140/RG.2.1.2402.0009
[Viau, 2000] Viau, R. (2000). Conditions to be respected to encourage student
motivation. La revue web sur la valorisation du fran巽ais en milieu coll辿gial. Retrieved
from https://goo.gl/Cva6KH
UNDERSTANDING LEARNERS DROP-OUT IN MOOCS
Alya Itani, Laurent Brisson, Serge Garlatti
The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018
REFERENCES 14](https://image.slidesharecdn.com/brissonideal2018-190529133727/85/Understanding-Learner-s-Drop-out-in-MOOCs-14-320.jpg)
Ad
Recommended
Across System Learning Environment and Dashboard Design for K12 Teachers and ...
Across System Learning Environment and Dashboard Design for K12 Teachers and ...Jessie Chuang
油
This document outlines a project led by Jessie Chuang and a team focused on designing an intelligent learning environment for K-12 education using the Experience API (xAPI). It details the goals of integrating various educational technologies to enhance data analytics and create a more interactive learning experience for teachers and students. The project emphasizes collaboration among stakeholders and the need for improved data management and accessibility in educational systems.Open Learning Analytics panel presentation - LAK 15
Open Learning Analytics panel presentation - LAK 15 Sandeep M. Jayaprakash
油
This document summarizes an open academic analytics initiative that aimed to create an open-source early alert system. Key points:
- The initiative developed predictive models using historical student data to identify students at risk of not completing courses.
- The early alert system was deployed across four institutions, and research found it had a statistically significant positive impact on final course grades, particularly for low-income students.
- Instructors reported the system changed their pedagogy by making them more proactive in reaching out to struggling students.
- The document advocates for open learning analytics and describes Apereo's open source learning analytics platform that incorporates open standards, a learning record store, analytics processor and dashboards.The UTS Connected Intelligence Centre
The UTS Connected Intelligence CentreSimon Buckingham Shum
油
The Connected Intelligence Centre (CIC) works to catalyze thinking about the use of data and analytics among students, educators, researchers and leaders at the University of Technology Sydney. It does this through research, prototyping, evaluation, embedding and education with various faculties and support units. CIC also brokers internal data challenges between analytics groups and designs and tests analytics for academic writing, blended learning, and learning across contexts.Deploying Open Learning Analytics at a National Scale
Deploying Open Learning Analytics at a National Scalemichaeldwebb
油
This document discusses deploying open learning analytics at a national scale in the UK. It provides an overview of learning analytics, including definitions, stages of analytics, and a strategic view of national issues related to retention, achievement, and teaching excellence. Technically, it describes Jisc's open architecture and predictive modeling framework. Implementation trends seen in the field emphasize change management, piloting solutions, focusing on data quality, and keeping initial implementations simple.SNS messages Recommendation for Learning Motivation (AIED 2015)
SNS messages Recommendation for Learning Motivation (AIED 2015)Sebastien Louvigne
油
The document discusses a research study aimed at enhancing learning motivation through social constructivist approaches and the use of social network services (SNS). It proposes a recommendation system that leverages goal-based data to improve learners' motivation and self-perception by observing diverse goals and purposes from peers. The findings indicate that observing goal purposes positively affects motivation, attainability, and confidence, essential factors for success in learning and goal-setting.Who are you and makes you special?
Who are you and makes you special?Simon Buckingham Shum
油
Simon Buckingham Shum is a professor of learning informatics and director of the Connected Intelligence Centre at the University of Technology Sydney. He discusses how large scale data and analytics are changing society and education. His research focuses on developing human-centered approaches to data science, machine learning, and analytics to ensure they are used ethically and for the benefit of learning. He argues analytics require a critical perspective to avoid potential harms and should seek to understand issues beyond surface-level metrics.Personalized Online Practice Systems for Learning Programming
Personalized Online Practice Systems for Learning ProgrammingPeter Brusilovsky
油
An adaptive learning system called Mastery Grids was created to increase student engagement with online educational content by incorporating personalized and social adaptive features. Mastery Grids uses open learner modeling to display a student's knowledge progress compared to their peers, adaptive navigation support to guide students to relevant activities, and concept-based recommendations of content. A study found that Mastery Grids significantly increased student success rates, time spent engaging with content, and learning compared to non-adaptive systems. Further research added direct recommendations to Mastery Grids and found they increased transparency and led to more efficient learning when explanations of recommendations were provided through the open learner model visualizations.Learning Design
Learning DesignScot Aldred
油
The document outlines a three phase learning design process:
1. The profiling phase involves understanding the learner's prior knowledge, goals, and learning preferences using Learning Management Questions 1-3.
2. The strategizing phase uses Learning Management Questions 4-6 to determine available resources, design a learning journey, and assign roles to support the learner.
3. The ascertainment phase uses Learning Management Questions 7-8 to check the learner's progress through valid assessments and inform stakeholders of the learner's progress.LAK19 - Towards Value-Sensitive Learning Analytics Design
LAK19 - Towards Value-Sensitive Learning Analytics DesignBodong Chen
油
This document discusses the implementation of value-sensitive design (VSD) within learning analytics, emphasizing the importance of ethical considerations and stakeholder values in the design process. It presents two studies: one addressing a social learning analytics tool and another focused on a recommendation system for Wikipedia projects, detailing a five-stage approach for stakeholder engagement and iterative development. The findings highlight the necessity of balancing design trade-offs and value tensions to enhance learning analytics systems.Intro to jisc Learning Analytics March 16
Intro to jisc Learning Analytics March 16Paul Bailey
油
Jisc provides digital services and infrastructure for UK higher education. This document discusses Jisc's learning analytics services, which aim to improve student retention, achievement, and employability through collecting and analyzing student data. The services include a learning analytics toolkit, community, and service. The service will collect student activity and performance data from sources like Moodle and blackboard and analyze it using tools from Tribal and Unicon/Marist. Initial pilot institutions will explore readiness and available products. Next steps include addressing legal/ethical issues, technical trials of data collection and analysis tools, and full implementations starting in 2016. A student app is also being developed to display personalized analytics and allow students to log activities and set targets.Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AVA...
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AVA...EuroCAT CSCL
油
1. The document describes a 7-step process for designing participation avatars to increase engagement in an online teacher training program in Greece.
2. User evaluations found that calculating participation levels based on the highest posting student and using varied colors improved understanding and motivation.
3. A final study showed the avatars improved active participation and satisfaction with the program compared to the control group without avatars. Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AV...
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AV...Niki Lambropoulos PhD
油
1. The document describes a 7-step process for designing participation avatars to increase engagement in an online teacher training program in Greece.
2. Initial research found low participation. The design process included evaluating prototypes with users and experts to determine the best way to calculate and represent participation levels visually.
3. The final participation avatars displayed on the forum interface represented participation levels based on number of posts by the most active student, which usability testing found to be most effective. Evaluation of the tool found it increased satisfaction and frequency of use.Public PhD defense
Public PhD defenseJose Luis Santos Odriozola
油
The document presents a comprehensive examination of learning analytics and learning dashboards from a Human-Computer Interaction (HCI) perspective, highlighting their potential to optimize learning environments. It addresses key research questions regarding the visualization of learning activities for both learners and teachers, as well as methodologies for tracking and managing data associated with these activities. The study is informed by various case studies and publications that demonstrate the applications and implications of learning dashboards in educational settings.Learning Analytics for MOOCs: EMMA case
Learning Analytics for MOOCs: EMMA caseUniversit degli Studi di Modena e Reggio Emilia/Tallinn University
油
This document summarizes a presentation on learning analytics in MOOCs given at a data science and social research conference. It defines key terms like learning analytics and discusses challenges like the interdisciplinary nature of the field and its current state of infancy. It also examines how learning analytics can help with issues in MOOCs like effectiveness, business models, technology/pedagogy, and more. The EMMA project framework for learning analytics in MOOCs is presented, including its use of dashboards, the XAPI standard, and clustering/network analysis of learner data. Conclusions discuss pedagogical neutrality and future work.Learning Analytics
Learning AnalyticsViplav Baxi
油
The document discusses learning analytics and outlines an agenda for an OER policy roundtable. It defines learning analytics and academic analytics. It discusses benefits like reducing attrition and personalizing learning. Examples from universities in Australia are provided. The document outlines what teaching and learning data is needed, strategies for acquiring this data, and potential actionable insights around retention, at-risk students, and learning effectiveness. It concludes with recommendations for next steps like funding research projects, establishing an open analytics platform, and pilot studies.insight-centre-galway-learning-analytics
insight-centre-galway-learning-analyticsSimon Buckingham Shum
油
The document discusses the emerging field of learning analytics, highlighting its transformative potential in education by predicting and improving student engagement and performance. It outlines various predictive models and analytics tools being developed, such as Purdue University's Signals, which uses real-time data to identify at-risk students and enhance their learning outcomes. Furthermore, it explores the intersection of learning analytics with social media and discourse analytics, advocating for a data-driven approach to educational practices.VII Jornadas eMadrid "Education in exponential times". Mesa redonda eMadrid L...
VII Jornadas eMadrid "Education in exponential times". Mesa redonda eMadrid L...eMadrid network
油
El documento presenta el impacto de la visualizaci坦n de datos y la anal鱈tica del aprendizaje en cursos en l鱈nea, espec鱈ficamente MOOCs. Se discuten enfoques para la extracci坦n y an叩lisis de datos, as鱈 como modelos predictivos para identificar a los estudiantes en riesgo de no obtener un certificado. Incluye estudios de caso y herramientas como el dashboard Open-DLAS y el modelo EDX-MAS para facilitar la visualizaci坦n y an叩lisis del comportamiento del aprendizaje.Data-Driven Learning Strategy
Data-Driven Learning StrategyJessie Chuang
油
The document outlines a data-driven learning strategy emphasizing the importance of big data in enhancing educational practices and personalized learning experiences. It highlights the need for improved evidence frameworks to analyze diverse and granular educational data from digital learning systems, alongside collaborative efforts between researchers and educational institutions. Additionally, it discusses the role of technologies like xAPI in tracking learning activities and the importance of community-driven standards for effective data interoperability in educational settings.FACT2 Learning Analytics Task Group (LATG) SCOA briefing
FACT2 Learning Analytics Task Group (LATG) SCOA briefinggketcham
油
This document discusses the SUNY Council on Assessment Learning Analytics Task Group and their work exploring the use of learning analytics across SUNY. The task group is identifying best practices for using learning analytics for assessment, student feedback, course placement, and early intervention. They plan to share exemplary uses and conduct professional development. The task group also aims to provide opportunities for SUNY faculty to pilot learning analytics projects and tools. The goal is to advance the appropriate use of learning analytics to improve student success and learning outcomes across SUNY.Learning Design meets Learning Analytics and Artificial Intelligence: Potent...
Learning Design meets Learning Analytics and Artificial Intelligence: Potent...Yannis
油
The document discusses the interconnection between learning design, learning analytics, and artificial intelligence, emphasizing their potential to enhance teaching and learning. It addresses the challenges of implementing effective learning design and analytics while highlighting the need for a human-centered approach that considers teacher and student agency. The speaker advocates for using pedagogical frameworks and supporting tools to improve educational practices and outcomes.Learning Analytics in Education: Using Students Big Data to Improve Teaching
Learning Analytics in Education: Using Students Big Data to Improve TeachingRafael Scapin, Ph.D.
油
The document discusses the role of learning analytics and big data in education, emphasizing how analyzing student data can enhance teaching and learning outcomes. It outlines what learning analytics can and cannot do, including predicting student performance, personalizing learning experiences, and informing instructional improvements. Key applications, tools, and features related to learning analytics in educational settings are also explored.Phase 1 Learning Analytics Intro 際際滷s
Phase 1 Learning Analytics Intro 際際滷sPaul Bailey
油
Jisc provides digital services and solutions to UK higher education. It is developing a Learning Analytics service with 3 strands: a service, toolkit, and community. The service involves dashboards, a student app, and intervention tools. A timeline was outlined ending with the full service in 2017. Technical trials were discussed to integrate data. Considerations around ethics, consent and supporting staff/students were also mentioned.Blended e-learning, evaluation and emerging scenarios
Blended e-learning, evaluation and emerging scenariosGrundtvig Multilateral Project Quality in Blended Learning
油
The document discusses the evolution of blended e-learning, emphasizing its strategic importance in addressing contemporary educational challenges in the EU. It highlights the need for innovative evaluation methods and the incorporation of new learning models driven by technology, communication, and learner engagement. The report calls for a shift towards more flexible, interactive, and customized educational paths that enhance collaboration and user-generated content.Exploring learning analytics
Exploring learning analyticsJisc
油
The presentation outlines the importance of learning analytics at City, University of London, emphasizing its role in enhancing educational processes and student support. Learning analytics utilizes student data to improve retention, progression, and the overall educational experience, with initiatives currently being piloted across various schools. Future plans include establishing governance structures and finalizing learning analytics policies to maximize student potential and support institutional performance indicators.Social Learning Analytics
Social Learning AnalyticsSocialLearn, Open U
油
1) The document discusses social learning analytics, which examines how learners interact and engage in social learning networks, discourses, and contexts.
2) It presents a taxonomy of social learning analytics, including social network analysis, discourse analysis, content analysis, analysis of learning dispositions, and analysis of social learning contexts.
3) The discussion emphasizes that social learning analytics should not just track what learners do, but also how the data is used to provide formative feedback and help learners grow, moving beyond just institutional tracking of students.IRJET- Evaluation Technique of Student Performance in various Courses
IRJET- Evaluation Technique of Student Performance in various CoursesIRJET Journal
油
The document proposes a system to evaluate student performance in various courses using techniques like machine learning. It discusses challenges in predicting student performance and developing a model that incorporates students' academic records and evolving progress. The proposed system aims to track student academic and extracurricular information to predict suitable courses and analyze growth.IRJET- Predicting Academic Performance based on Social Activities
IRJET- Predicting Academic Performance based on Social ActivitiesIRJET Journal
油
This document discusses predicting student academic performance based on their social media activities in an online learning environment. It presents a study of 343 students in a computer science course that used social tools like wikis, blogs, and microblogging for collaboration. The study collected data on student activities and used regression algorithms, including a novel Large Margin Nearest Neighbor Regression approach, to predict student grades based on their social media usage. The models achieved good prediction accuracy, outperforming other common regression algorithms.Jisc learning analytics service oct 2016
Jisc learning analytics service oct 2016Paul Bailey
油
This document summarizes Paul Bailey's presentation on Jisc's learning analytics service. It discusses what learning analytics is, how it can be used to improve student performance, teaching quality, and institutional strategy. The service will provide dashboards, a student app, and an alert system to help identify at-risk students. It will initially focus on student engagement and attainment data to improve retention and achievement. An on-boarding process and readiness assessment are also outlined to help institutions implement learning analytics. The goal is to launch the service in 2017 to measure its impact on key performance indicators.Q1_ENGLISH_PPT_WEEK 1 power point grade 3 Quarter 1 week 1
Q1_ENGLISH_PPT_WEEK 1 power point grade 3 Quarter 1 week 1jutaydeonne
油
Grade 3 Quarter 1 Week 1 English part 2More Related Content
Similar to Understanding Learner's Drop-out in MOOCs (20)
LAK19 - Towards Value-Sensitive Learning Analytics Design
LAK19 - Towards Value-Sensitive Learning Analytics DesignBodong Chen
油
This document discusses the implementation of value-sensitive design (VSD) within learning analytics, emphasizing the importance of ethical considerations and stakeholder values in the design process. It presents two studies: one addressing a social learning analytics tool and another focused on a recommendation system for Wikipedia projects, detailing a five-stage approach for stakeholder engagement and iterative development. The findings highlight the necessity of balancing design trade-offs and value tensions to enhance learning analytics systems.Intro to jisc Learning Analytics March 16
Intro to jisc Learning Analytics March 16Paul Bailey
油
Jisc provides digital services and infrastructure for UK higher education. This document discusses Jisc's learning analytics services, which aim to improve student retention, achievement, and employability through collecting and analyzing student data. The services include a learning analytics toolkit, community, and service. The service will collect student activity and performance data from sources like Moodle and blackboard and analyze it using tools from Tribal and Unicon/Marist. Initial pilot institutions will explore readiness and available products. Next steps include addressing legal/ethical issues, technical trials of data collection and analysis tools, and full implementations starting in 2016. A student app is also being developed to display personalized analytics and allow students to log activities and set targets.Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AVA...
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AVA...EuroCAT CSCL
油
1. The document describes a 7-step process for designing participation avatars to increase engagement in an online teacher training program in Greece.
2. User evaluations found that calculating participation levels based on the highest posting student and using varied colors improved understanding and motivation.
3. A final study showed the avatars improved active participation and satisfaction with the program compared to the control group without avatars. Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AV...
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AV...Niki Lambropoulos PhD
油
1. The document describes a 7-step process for designing participation avatars to increase engagement in an online teacher training program in Greece.
2. Initial research found low participation. The design process included evaluating prototypes with users and experts to determine the best way to calculate and represent participation levels visually.
3. The final participation avatars displayed on the forum interface represented participation levels based on number of posts by the most active student, which usability testing found to be most effective. Evaluation of the tool found it increased satisfaction and frequency of use.Public PhD defense
Public PhD defenseJose Luis Santos Odriozola
油
The document presents a comprehensive examination of learning analytics and learning dashboards from a Human-Computer Interaction (HCI) perspective, highlighting their potential to optimize learning environments. It addresses key research questions regarding the visualization of learning activities for both learners and teachers, as well as methodologies for tracking and managing data associated with these activities. The study is informed by various case studies and publications that demonstrate the applications and implications of learning dashboards in educational settings.Learning Analytics for MOOCs: EMMA case
Learning Analytics for MOOCs: EMMA caseUniversit degli Studi di Modena e Reggio Emilia/Tallinn University
油
This document summarizes a presentation on learning analytics in MOOCs given at a data science and social research conference. It defines key terms like learning analytics and discusses challenges like the interdisciplinary nature of the field and its current state of infancy. It also examines how learning analytics can help with issues in MOOCs like effectiveness, business models, technology/pedagogy, and more. The EMMA project framework for learning analytics in MOOCs is presented, including its use of dashboards, the XAPI standard, and clustering/network analysis of learner data. Conclusions discuss pedagogical neutrality and future work.Learning Analytics
Learning AnalyticsViplav Baxi
油
The document discusses learning analytics and outlines an agenda for an OER policy roundtable. It defines learning analytics and academic analytics. It discusses benefits like reducing attrition and personalizing learning. Examples from universities in Australia are provided. The document outlines what teaching and learning data is needed, strategies for acquiring this data, and potential actionable insights around retention, at-risk students, and learning effectiveness. It concludes with recommendations for next steps like funding research projects, establishing an open analytics platform, and pilot studies.insight-centre-galway-learning-analytics
insight-centre-galway-learning-analyticsSimon Buckingham Shum
油
The document discusses the emerging field of learning analytics, highlighting its transformative potential in education by predicting and improving student engagement and performance. It outlines various predictive models and analytics tools being developed, such as Purdue University's Signals, which uses real-time data to identify at-risk students and enhance their learning outcomes. Furthermore, it explores the intersection of learning analytics with social media and discourse analytics, advocating for a data-driven approach to educational practices.VII Jornadas eMadrid "Education in exponential times". Mesa redonda eMadrid L...
VII Jornadas eMadrid "Education in exponential times". Mesa redonda eMadrid L...eMadrid network
油
El documento presenta el impacto de la visualizaci坦n de datos y la anal鱈tica del aprendizaje en cursos en l鱈nea, espec鱈ficamente MOOCs. Se discuten enfoques para la extracci坦n y an叩lisis de datos, as鱈 como modelos predictivos para identificar a los estudiantes en riesgo de no obtener un certificado. Incluye estudios de caso y herramientas como el dashboard Open-DLAS y el modelo EDX-MAS para facilitar la visualizaci坦n y an叩lisis del comportamiento del aprendizaje.Data-Driven Learning Strategy
Data-Driven Learning StrategyJessie Chuang
油
The document outlines a data-driven learning strategy emphasizing the importance of big data in enhancing educational practices and personalized learning experiences. It highlights the need for improved evidence frameworks to analyze diverse and granular educational data from digital learning systems, alongside collaborative efforts between researchers and educational institutions. Additionally, it discusses the role of technologies like xAPI in tracking learning activities and the importance of community-driven standards for effective data interoperability in educational settings.FACT2 Learning Analytics Task Group (LATG) SCOA briefing
FACT2 Learning Analytics Task Group (LATG) SCOA briefinggketcham
油
This document discusses the SUNY Council on Assessment Learning Analytics Task Group and their work exploring the use of learning analytics across SUNY. The task group is identifying best practices for using learning analytics for assessment, student feedback, course placement, and early intervention. They plan to share exemplary uses and conduct professional development. The task group also aims to provide opportunities for SUNY faculty to pilot learning analytics projects and tools. The goal is to advance the appropriate use of learning analytics to improve student success and learning outcomes across SUNY.Learning Design meets Learning Analytics and Artificial Intelligence: Potent...
Learning Design meets Learning Analytics and Artificial Intelligence: Potent...Yannis
油
The document discusses the interconnection between learning design, learning analytics, and artificial intelligence, emphasizing their potential to enhance teaching and learning. It addresses the challenges of implementing effective learning design and analytics while highlighting the need for a human-centered approach that considers teacher and student agency. The speaker advocates for using pedagogical frameworks and supporting tools to improve educational practices and outcomes.Learning Analytics in Education: Using Students Big Data to Improve Teaching
Learning Analytics in Education: Using Students Big Data to Improve TeachingRafael Scapin, Ph.D.
油
The document discusses the role of learning analytics and big data in education, emphasizing how analyzing student data can enhance teaching and learning outcomes. It outlines what learning analytics can and cannot do, including predicting student performance, personalizing learning experiences, and informing instructional improvements. Key applications, tools, and features related to learning analytics in educational settings are also explored.Phase 1 Learning Analytics Intro 際際滷s
Phase 1 Learning Analytics Intro 際際滷sPaul Bailey
油
Jisc provides digital services and solutions to UK higher education. It is developing a Learning Analytics service with 3 strands: a service, toolkit, and community. The service involves dashboards, a student app, and intervention tools. A timeline was outlined ending with the full service in 2017. Technical trials were discussed to integrate data. Considerations around ethics, consent and supporting staff/students were also mentioned.Blended e-learning, evaluation and emerging scenarios
Blended e-learning, evaluation and emerging scenariosGrundtvig Multilateral Project Quality in Blended Learning
油
The document discusses the evolution of blended e-learning, emphasizing its strategic importance in addressing contemporary educational challenges in the EU. It highlights the need for innovative evaluation methods and the incorporation of new learning models driven by technology, communication, and learner engagement. The report calls for a shift towards more flexible, interactive, and customized educational paths that enhance collaboration and user-generated content.Exploring learning analytics
Exploring learning analyticsJisc
油
The presentation outlines the importance of learning analytics at City, University of London, emphasizing its role in enhancing educational processes and student support. Learning analytics utilizes student data to improve retention, progression, and the overall educational experience, with initiatives currently being piloted across various schools. Future plans include establishing governance structures and finalizing learning analytics policies to maximize student potential and support institutional performance indicators.Social Learning Analytics
Social Learning AnalyticsSocialLearn, Open U
油
1) The document discusses social learning analytics, which examines how learners interact and engage in social learning networks, discourses, and contexts.
2) It presents a taxonomy of social learning analytics, including social network analysis, discourse analysis, content analysis, analysis of learning dispositions, and analysis of social learning contexts.
3) The discussion emphasizes that social learning analytics should not just track what learners do, but also how the data is used to provide formative feedback and help learners grow, moving beyond just institutional tracking of students.IRJET- Evaluation Technique of Student Performance in various Courses
IRJET- Evaluation Technique of Student Performance in various CoursesIRJET Journal
油
The document proposes a system to evaluate student performance in various courses using techniques like machine learning. It discusses challenges in predicting student performance and developing a model that incorporates students' academic records and evolving progress. The proposed system aims to track student academic and extracurricular information to predict suitable courses and analyze growth.IRJET- Predicting Academic Performance based on Social Activities
IRJET- Predicting Academic Performance based on Social ActivitiesIRJET Journal
油
This document discusses predicting student academic performance based on their social media activities in an online learning environment. It presents a study of 343 students in a computer science course that used social tools like wikis, blogs, and microblogging for collaboration. The study collected data on student activities and used regression algorithms, including a novel Large Margin Nearest Neighbor Regression approach, to predict student grades based on their social media usage. The models achieved good prediction accuracy, outperforming other common regression algorithms.Jisc learning analytics service oct 2016
Jisc learning analytics service oct 2016Paul Bailey
油
This document summarizes Paul Bailey's presentation on Jisc's learning analytics service. It discusses what learning analytics is, how it can be used to improve student performance, teaching quality, and institutional strategy. The service will provide dashboards, a student app, and an alert system to help identify at-risk students. It will initially focus on student engagement and attainment data to improve retention and achievement. An on-boarding process and readiness assessment are also outlined to help institutions implement learning analytics. The goal is to launch the service in 2017 to measure its impact on key performance indicators. Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AV...
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AV...Niki Lambropoulos PhD
油
Learning Analytics for MOOCs: EMMA case
Learning Analytics for MOOCs: EMMA caseUniversit degli Studi di Modena e Reggio Emilia/Tallinn University
油
Blended e-learning, evaluation and emerging scenarios
Blended e-learning, evaluation and emerging scenariosGrundtvig Multilateral Project Quality in Blended Learning
油
Recently uploaded (20)
Q1_ENGLISH_PPT_WEEK 1 power point grade 3 Quarter 1 week 1
Q1_ENGLISH_PPT_WEEK 1 power point grade 3 Quarter 1 week 1jutaydeonne
油
Grade 3 Quarter 1 Week 1 English part 2Communicable Diseases and National Health Programs Unit 9 | B.Sc Nursing 5t...
Communicable Diseases and National Health Programs Unit 9 | B.Sc Nursing 5t...RAKESH SAJJAN
油
This PowerPoint presentation covers Unit 9 Communicable Diseases and National Health Programs, a core part of the 5th Semester B.Sc Nursing (Community Health Nursing I) syllabus, as outlined by the Indian Nursing Council (INC).
This unit enables nursing students to understand the epidemiology, prevention, control, and nursing management of common communicable diseases in India, while also offering a structured overview of the National Health Programs implemented to address them.
The content is critical for effective field practice, disease surveillance, early detection, referral, and health education, equipping students to participate in public health interventions and outbreak control at community and national levels.
Key Topics Covered in the PPT:
Definition and classification of communicable diseases
Modes of transmission and chain of infection
Common communicable diseases in India:
Malaria
Tuberculosis
Leprosy
Dengue
HIV/AIDS
Hepatitis
COVID-19 (if included in the current curriculum)
Diarrheal diseases
Acute Respiratory Infections (ARIs)
Epidemiological factors, causative agents, symptoms, and incubation periods
Prevention and control strategies: primary, secondary, and tertiary levels
Nursing responsibilities in patient care, contact tracing, community surveillance, and outbreak control
Health education and behavior change communication for community awareness
Vaccination schedules and cold chain maintenance
National Health Programs related to communicable diseases:
National Vector Borne Disease Control Program (NVBDCP)
Revised National Tuberculosis Control Program (RNTCP)
National Leprosy Eradication Program (NLEP)
National AIDS Control Program (NACP)
Universal Immunization Program (UIP)
IDSP Integrated Disease Surveillance Program
Overview of standard treatment protocols, referral mechanisms, and community nurses role in program implementation
This presentation is ideal for:
Nursing students preparing for university exams, class tests, and field projects
Tutors teaching infectious disease nursing and public health interventions
Nurses involved in immunization, outbreak investigation, and contact tracing
It provides a student-friendly breakdown of concepts, aligned with national priorities, including flowcharts, tables, case examples, and simplified text for field-level application.YSPH VMOC Special Report - Measles Outbreak Southwest US 6-14-2025.pptx
YSPH VMOC Special Report - Measles Outbreak Southwest US 6-14-2025.pptxYale School of Public Health - The Virtual Medical Operations Center (VMOC)
油
BLUF:
The Texas outbreak has slowed down, but sporadic cases continue to emerge in Kansas, Oklahoma, and New Mexico.
Elsewhere in the US, we continue to see signs of acceleration due to outbreaks outside the Southwest (North Dakota, Montana, and Colorado) and travel-related cases. Measles exposures due to travel are expected to pose a significant challenge throughout the summer.
The U.S. is on track to exceed its 30-year high for measles cases (1,274) within the next two weeks.
Here is the latest update:
CURRENT CASE COUNT: 919
Texas: 744 (+2) (55% of cases are in Gaines County).
New Mexico: 81 (83% of cases are from Lea County).
Oklahoma: 20 (+2)
Kansas: 74 (+5) (38.89% of the cases are from Gray County).
HOSPITALIZATIONS: 104
Texas: 96 (+2) This accounts for 13% of all cases in Texas.
New Mexico: 7 This accounts for 9.47% of all cases in New Mexico.
Kansas: 3 This accounts for 5.08% of all cases in the state of Kansas.
DEATHS: 3
Texas: 2 This is 0.27% of all cases in Texas.
New Mexico: 1 This is 1.23% of all cases in New Mexico.
US NATIONAL CASE COUNT: 1,197
INTERNATIONAL SPREAD
Mexico: 2337 (+257), 5 fatalities
Chihuahua, Mexico: 2,179 (+239) cases, 4 fatalities, 7 currently hospitalized.
Canada: 3,207 (+208), 1 fatality
Ontario Outbreak, Canada: 2,115 (+74) cases, 158 hospitalizations, 1 fatality.
Alberta, Canada: 879(+118) cases, 5 currently hospitalized.Code Profiling in Odoo 18 - Odoo 18 際際滷s
Code Profiling in Odoo 18 - Odoo 18 際際滷sCeline George
油
Profiling in Odoo identifies slow code and resource-heavy processes, ensuring better system performance. Odoo code profiling detects bottlenecks in custom modules, making it easier to improve speed and scalability.2025 June Year 9 Presentation: Subject selection.pptx
2025 June Year 9 Presentation: Subject selection.pptxmansk2
油
2025 June Year 9 Presentation: Subject selectionHow payment terms are configured in Odoo 18
How payment terms are configured in Odoo 18Celine George
油
Payment terms in Odoo 18 help define the conditions for when invoices are due. This feature can split payments into multiple parts and automate due dates based on specific rules.ECONOMICS, DISASTER MANAGEMENT, ROAD SAFETY - STUDY MATERIAL [10TH]
ECONOMICS, DISASTER MANAGEMENT, ROAD SAFETY - STUDY MATERIAL [10TH]SHERAZ AHMAD LONE
油
This study material for Class 10th covers the core subjects of Economics, Disaster Management, and Road Safety Education, developed strictly in line with the JKBOSE textbook. It presents the content in a simplified, structured, and student-friendly format, ensuring clarity in concepts. The material includes reframed explanations, flowcharts, infographics, and key point summaries to support better understanding and retention. Designed for classroom teaching and exam preparation, it aims to enhance comprehension, critical thinking, and practical awareness among students.SCHIZOPHRENIA OTHER PSYCHOTIC DISORDER LIKE Persistent delusion/Capgras syndr...
SCHIZOPHRENIA OTHER PSYCHOTIC DISORDER LIKE Persistent delusion/Capgras syndr...parmarjuli1412
油
SCHIZOPHRENIA INCLUDED TOPIC IS INTRODUCTION, DEFINITION OF GENERAL TERM IN PSYCHIATRIC, THEN DIFINITION OF SCHIZOPHRENIA, EPIDERMIOLOGY, ETIOLOGICAL FACTORS, CLINICAL FEATURE(SIGN AND SYMPTOMS OF SCHIZOPHRENIA), CLINICAL TYPES OF SCHIZOPHRENIA, DIAGNOSIS, INVESTIGATION, TREATMENT MODALITIES(PHARMACOLOGICAL MANAGEMENT, PSYCHOTHERAPY, ECT, PSYCHO-SOCIO-REHABILITATION), NURSING MANAGEMENT(ASSESSMENT,DIAGNOSIS,NURSING INTERVENTION,AND EVALUATION), OTHER PSYCHOTIC DISORDER LIKE Persistent delusion/Capgras syndrome(The Delusion of Doubles)/Acute and Transient Psychotic Disorders/Induced Delusional Disorders/Schizoaffective Disorder /CAPGRAS SYNDROME(DELUSION OF DOUBLE), GERIATRIC CONSIDERATION, FOLLOW UP, HOMECARE AND REHABILITATION OF THE PATIENT, Nutrition Assessment and Nutrition Education Unit 4 | B.Sc Nursing 5th Seme...
Nutrition Assessment and Nutrition Education Unit 4 | B.Sc Nursing 5th Seme...RAKESH SAJJAN
油
This PowerPoint presentation is based on Unit 4 Nutrition Assessment and Nutrition Education, a core topic in the 5th Semester of B.Sc Nursing under the subject Community Health Nursing I, as per the Indian Nursing Council (INC) guidelines.
The unit provides foundational knowledge of nutritional assessment techniques, importance of balanced diets, and health education strategies aimed at improving community nutrition. It empowers future nurses to play a key role in promoting nutrition, preventing malnutrition, and implementing dietary interventions at individual, family, and community levels.
The PPT covers the following topics in detail:
Introduction to Nutrition and its role in health and disease prevention
Objectives of nutritional assessment in community settings
Types of nutritional assessment Anthropometric, Biochemical, Clinical, and Dietary (ABCD) methods
Tools and techniques used in each type of nutritional assessment
Interpreting growth charts, BMI, MUAC, and dietary recalls
Identification of malnutrition, both undernutrition and overnutrition
Common nutritional deficiencies protein-energy malnutrition, anemia, vitamin A deficiency, iodine deficiency
Principles of nutrition education and behavior change communication
Role of community health nurse in nutrition education during home visits, camps, and school health programs
Use of charts, posters, flashcards, and food models in health teaching
Culturally appropriate and locally available food suggestions
Strategies for promoting infant and young child feeding (IYCF)
National nutrition programs: POSHAN Abhiyaan, Mid-Day Meal Scheme, ICDS, and Anemia Mukt Bharat
Monitoring and evaluation of nutrition interventions
This PPT is perfect for:
B.Sc Nursing students preparing for unit tests or university exams
Nursing educators delivering community health lessons
Field work, community posting presentations, or group health teaching
Health educators and ASHA trainers working on community nutrition
All content is student-friendly, professionally formatted, and aligned with public health priorities and practical nursing roles.GEOGRAPHY-Study Material [ Class 10th] .pdf
GEOGRAPHY-Study Material [ Class 10th] .pdfSHERAZ AHMAD LONE
油
"Geography Study Material for Class 10th" provides a comprehensive and easy-to-understand resource for key topics like Resources & Development, Water Resources, Agriculture, Minerals & Energy, Manufacturing Industries, and Lifelines of the National Economy. Designed as per the latest NCERT/JKBOSE syllabus, it includes notes, maps, diagrams, and MODEL question Paper to help students excel in exams. Whether revising for exams or strengthening conceptual clarity, this material ensures effective learning and high scores. Perfect for last-minute revisions and structured study sessions.Publishing Your Memoir with Brooke Warner
Publishing Your Memoir with Brooke WarnerBrooke Warner
油
Brooke Warner presents on getting published - traditional, hybrid, and self-publishing.
www.memoirnation.comTHE PSYCHOANALYTIC OF THE BLACK CAT BY EDGAR ALLAN POE (1).pdf
THE PSYCHOANALYTIC OF THE BLACK CAT BY EDGAR ALLAN POE (1).pdfnabilahk908
油
Psychoanalytic Analysis of The Black Cat by Edgar Allan Poe explores the deep psychological dimensions of the narrators disturbed mind through the lens of Sigmund Freuds psychoanalytic theory. According to Freud (1923), the human psyche is structured into three components: the Id, which contains primitive and unconscious desires; the Ego, which operates on the reality principle and mediates between the Id and the external world; and the Superego, which reflects internalized moral standards.
In this story, Poe presents a narrator who experiences a psychological breakdown triggered by repressed guilt, aggression, and internal conflict. This analysis focuses not only on the gothic horror elements of the narrative but also on the narrators mental instability and emotional repression, demonstrating how the imbalance of these three psychic forces contributes to his downfall.Assisting Individuals and Families to Promote and Maintain Health Unit 7 | ...
Assisting Individuals and Families to Promote and Maintain Health Unit 7 | ...RAKESH SAJJAN
油
This PowerPoint presentation is based on Unit 7 Assisting Individuals and Families to Promote and Maintain Their Health, a core topic in Community Health Nursing I for 5th Semester B.Sc Nursing students, as per the Indian Nursing Council (INC) guidelines.
The unit emphasizes the nurses role in family-centered care, early detection of health problems, health promotion, and appropriate referrals, especially in the context of home visits and community outreach. It also strengthens the students understanding of nursing responsibilities in real-life community settings.
Key Topics Covered in the Presentation:
Introduction to family health care: needs, principles, and objectives
Assessment of health needs of individuals, families, and groups
Observation and documentation during home visits and field assessments
Identifying risk factors: environmental, behavioral, genetic, and social
Conducting growth and development monitoring in infants and children
Recording and observing:
Milestones of development
Menstrual health and reproductive cycle
Temperature, blood pressure, and vital signs
General physical appearance and personal hygiene
Social assessment: understanding family dynamics, occupation, income, living conditions
Health education and counseling for individuals and families
Guidelines for early detection and referral of communicable and non-communicable diseases
Maintenance of family health records and individual health cards
Assisting families with:
Maternal and child care
Elderly and chronic disease management
Hygiene and nutrition guidance
Utilization of community resources referral linkages, support services, and local health programs
Role of nurse in coordinating care, advocating for vulnerable individuals, and empowering families
Promoting self-care and family participation in disease prevention and health maintenance
This presentation is highly useful for:
Nursing students preparing for internal exams, university theory papers, or community postings
Health educators conducting family teaching sessions
Students conducting fieldwork and project work during community postings
Public health nurses and outreach workers dealing with preventive, promotive, and rehabilitative care
Its structured in a step-by-step format, featuring tables, case examples, and simplified explanations tailored for easy understanding and classroom delivery.Health Care Planning and Organization of Health Care at Various Levels Unit...
Health Care Planning and Organization of Health Care at Various Levels Unit...RAKESH SAJJAN
油
This comprehensive PowerPoint presentation is prepared for B.Sc Nursing 5th Semester students and covers Unit 2 of Community Health Nursing I based on the Indian Nursing Council (INC) syllabus. The unit focuses on the planning, structure, and functioning of health care services at various levels in India. It is especially useful for nursing educators and students preparing for university exams, internal assessments, or professional teaching assignments.
The content of this presentation includes:
Historical development of health planning in India
Detailed study of various health committees: Bhore, Mudaliar, Kartar Singh, Shrivastava Committee, etc.
Overview of major health commissions
In-depth understanding of Five-Year Plans and their impact on health care
Community participation and stakeholder involvement in health care planning
Structure of health care delivery system at central, state, district, and peripheral levels
Concepts and implementation of Primary Health Care (PHC) and Sustainable Development Goals (SDGs)
Introduction to Comprehensive Primary Health Care (CPHC) and Health and Wellness Centers (HWCs)
Expanded role of Mid-Level Health Providers (MLHPs) and Community Health Providers (CHPs)
Explanation of national health policies: NHP 1983, 2002, and 2017
Key national missions and schemes including:
National Health Mission (NHM)
National Rural Health Mission (NRHM)
National Urban Health Mission (NUHM)
Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY)
Universal Health Coverage (UHC) and Indias commitment to equitable health care
This presentation is ideal for:
Nursing students (B.Sc, GNM, Post Basic)
Nursing tutors and faculty
Health educators
Competitive exam aspirants in nursing and public health
It is organized in a clear, point-wise format with relevant terminologies and a focus on applied knowledge. The slides can also be used for community health demonstrations, teaching sessions, and revision guides.Chalukyas of Gujrat, Solanki Dynasty NEP.pptx
Chalukyas of Gujrat, Solanki Dynasty NEP.pptxDr. Ravi Shankar Arya Mahila P. G. College, Banaras Hindu University, Varanasi, India.
油
This presentation has been made keeping in mind the students of undergraduate and postgraduate level. In this slide try to present the brief history of Chaulukyas of Gujrat up to Kumarpala To keep the facts in a natural form and to display the material in more detail, the help of various books, websites and online medium has been taken. Whatever medium the material or facts have been taken from, an attempt has been made by the presenter to give their reference at the end.
Chaulukya or Solanki was one of the Rajputs born from Agnikul. In the Vadnagar inscription, the origin of this dynasty is told from Brahma's Chauluk or Kamandalu. They ruled in Gujarat from the latter half of the tenth century to the beginning of the thirteenth century. Their capital was in Anahilwad. It is not certain whether it had any relation with the Chalukya dynasty of the south or not. It is worth mentioning that the name of the dynasty of the south was 'Chaluky' while the dynasty of Gujarat has been called 'Chaulukya'. The rulers of this dynasty were the supporters and patrons of Jainism.Community Health Nursing Approaches, Concepts, Roles & Responsibilities Uni...
Community Health Nursing Approaches, Concepts, Roles & Responsibilities Uni...RAKESH SAJJAN
油
This PowerPoint presentation is based on Unit 6 Community Health Nursing Approaches, Concepts, Roles & Responsibilities of Community Health Nursing Personnel, designed for B.Sc Nursing 5th Semester students under the subject Community Health Nursing I, following the syllabus of the Indian Nursing Council (INC).
This unit focuses on the various approaches in community health, the organizational framework, and the responsibilities of different levels of nursing staff in the healthcare system. It emphasizes the real-world application of nursing principles to provide comprehensive and preventive care to the community.
Key Areas Covered in this Presentation:
Introduction to the concept of community health nursing
Approaches to community health:
Nursing Process Approach
Epidemiological Approach
Evidence-Based Approach
Problem-Solving Approach
Nursing Theories in Community Health Practice
Explanation of teamwork and intersectoral coordination
Concept of primary health care and its application in community nursing
Levels of health care delivery primary, secondary, and tertiary care
Home visit process: principles, planning, implementation, and follow-up
Use of community bag and record maintenance
Roles and responsibilities of:
Auxiliary Nurse Midwives (ANMs)
Community Health Officers (CHOs)
Staff Nurses
ASHA workers
Public Health Nurses (PHNs)
Documentation and reporting in community settings
Promotion of health education, immunization, maternal and child health, and nutritional support
Role of nurse in disease surveillance, outbreak control, and health promotion
Ethical principles in community nursing
Coordination with health team members and village health committees
This presentation is useful for:
Nursing students preparing for university theory exams, class tests, or viva
Nursing educators conducting lectures or field discussions
Interns and trainees working in PHCs, sub-centers, or community settings
Community nurses and health educators involved in rural and urban outreach
The content is simplified, clear, and enhanced with point-wise explanations, flowcharts, and field-related examples for better retention and application.YSPH VMOC Special Report - Measles Outbreak Southwest US 6-14-2025.pptx
YSPH VMOC Special Report - Measles Outbreak Southwest US 6-14-2025.pptxYale School of Public Health - The Virtual Medical Operations Center (VMOC)
油
Chalukyas of Gujrat, Solanki Dynasty NEP.pptx
Chalukyas of Gujrat, Solanki Dynasty NEP.pptxDr. Ravi Shankar Arya Mahila P. G. College, Banaras Hindu University, Varanasi, India.
油
Ad
Understanding Learner's Drop-out in MOOCs
- 1. UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti
- 2. Massive Open Online Course (Premium members) Send feedback to learners to prevent drop-out Provide personalized feedback to teachers Contributions A predictive system that can detect at-risk droppers at different instants of the learners interaction with the course New features associated with learners trajectory of engagement with the course. Suitable intervention strategies for both teachers and learners. UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Context 2
- 3. The structure of a course may not be helpful to all participants and supporting different patterns of engagement may be beneficial [Onah et. al, 2014] Deficiency in some skills (digital skills or prerequisite) Bad MOOC design (inefficient material, high workload) Lack of intention to complete (material hunter, curious explorers) Inaccurate expectations (misunderstanding about the objectives or content) UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Problems 3
- 4. Create your Website with HTML (HTML5) 2015-2016 11,520 active learners Completers: 38% (4,333) Droppers: 62% (7,187) Understanding the Web (Web) 2015-2016 7,160 active learners Completers: 71% (5,085) Droppers: 29% (2,075) Features Completed activities Time spent on each activity Grades obtained UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 CASE STUDY Openclassroom Dataset 4
- 5. Creation of behavioral features 3 new attributes are created for each pair of activities Back jumps (a step back from the scenario planned by the teacher) Forward jumps (intended transition between 2 activities or skipped activities) Inactivity time (for each jump, inactivity time between activities) UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 CASE STUDY Features creation 5
- 6. CRISP-DM Process Data Preparation New behavior features Modeling Stratified training and test set Algorithms : random forest, gradient boosting, decision tree, logistic regression For each algorithm: Hyperparameter tuning K-fold cross-validation Performance metrics : F-measure, AUC Evaluation Provide personalized feedback to learners and teachers UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 CASE STUDY Predictive process 6
- 7. Experiments goals Evaluate algorithms performance considering the 3 following contexts Impact of the prediction at 25% or 50% of the course progression Impact of Behavorial features Impact of the course UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 CASE STUDY Experiments 7
- 8. Percentage of completed activities 25% 50% Behavorial features with without with without Create your site with HTML5 RF 0.76 賊 .02 0.85 賊 .01 GB DT LR Understanding the web RF 0.25 賊 .01 0.91 賊 .01 GB DT LR 0.46 UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 RESULTS Overview (F-measure metric) 8
- 9. Logistic Regression (6 most influential features in absolute value) Decision Tree (pruned) UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 RESULTS Models readability 9
- 10. The most discriminating feature is a descriptive indicator (completed activity, grades, time spent) Diagnostic: Is the activity motivating? [Viau, 2000] Does the activity respect constructive alignment? The activity is a lesson or an exercise: Identify difficulties (unannounced prerequisites, ...) Check the target audience of the course The activity is an assessment : Identify difficulties (complex statements, ...) Check the activity (workload, kind of assessment, ...) UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 RESULTS Situation 1 Doing an activity increases the probability of drop-out 10
- 11. The most discriminating feature is a behavioral indicator (back jump, forward jumps, inactivity time) The feature is a forward-jump that respects the recommended progression Check activity to identify a wrong constructive alignment Suggest new routes to students and change course progression The feature is a back-jump or a forward jump skipping the recommended progression Remind students of the importance of following recommended progression Add self-assessment activities to help to identify relevant jumps (back and forward) UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 RESULTS Situation 2 Doing an jump increases the probability of drop-out 11
- 12. At a given course progression the prediction is bad and so no feature is really relevant None of the activity over the period allow to anticipate successes and failures : Activities could be designed to build student self-confidence ... but we could check a wrong constructive alignment! Prediction performance increases at a latter instant The most predictive activities are often those that require some commitment (exercices, assemnents): No such activities during the first 25% of course progression The course lack activities to help student to assess their progress UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 RESULTS Situation 3 Prediction performance increases a lot between two different instants 12
- 13. Contributions A predictive system that can detect at-risk droppers at different instants of the learners interaction with the course New features associated with learners trajectory of engagement with the course Suitable intervention strategies for both teachers and learners Perspectives Use business knowledge: learner model, course structure, learning outcomes (e-education) Focus on social interactions and group dynamics in the learning mechanism (social network analysis) UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 CONCLUSION & PERSPECTIVES 13
- 14. [Onah et al., 2014] Onah, D. F. O., Sinclair, J., & Boyatt, R. (2014). Dropout rates of massive open online courses behavioural patterns. 6th International Conference on Education and New Learning Technologies, 58255834. https://doi.org/10.13140/RG.2.1.2402.0009 [Viau, 2000] Viau, R. (2000). Conditions to be respected to encourage student motivation. La revue web sur la valorisation du fran巽ais en milieu coll辿gial. Retrieved from https://goo.gl/Cva6KH UNDERSTANDING LEARNERS DROP-OUT IN MOOCS Alya Itani, Laurent Brisson, Serge Garlatti The 19th International Conference on Intelligent Data Engineering and Automated Learning - 21-23 November 2018 REFERENCES 14