ºÝºÝߣshows by User: DannyLiu8 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: DannyLiu8 / Sat, 01 Apr 2017 08:04:46 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: DannyLiu8 Choose your own adventure - Using live feedback to place learning back into the hands of students /slideshow/choose-your-own-adventure-using-live-feedback-to-place-learning-back-into-the-hands-of-students/74138571 chooseyourownadventure-dannyliu-slides-170401080446
Presented at the 2013 University of Sydney Teaching Colloquium]]>
Presented at the 2013 University of Sydney Teaching Colloquium]]> Sat, 01 Apr 2017 08:04:46 GMT /slideshow/choose-your-own-adventure-using-live-feedback-to-place-learning-back-into-the-hands-of-students/74138571 DannyLiu8@slideshare.net(DannyLiu8) Choose your own adventure - Using live feedback to place learning back into the hands of students DannyLiu8 Presented at the 2013 University of Sydney Teaching Colloquium <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chooseyourownadventure-dannyliu-slides-170401080446-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at the 2013 University of Sydney Teaching Colloquium
Choose your own adventure - Using live feedback to place learning back into the hands of students from Danny Liu
]]> 403 5 https://cdn.slidesharecdn.com/ss_thumbnails/chooseyourownadventure-dannyliu-slides-170401080446-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 xAPI and Temporality: open standards to store and analyse temporal learner data /slideshow/xapi-and-temporality-open-standards-to-store-and-analyse-temporal-learner-data/61359945 xapiandtemporality-160426090705
Presented at lak16time, Edinburgh (April 2016). There is a wealth of data already captured by learning management systems, especially from courses that are well-designed to take advantage of a variety of online activities. However, analyses of such data have been largely in aggregated form. This is compounded by database tables that are unwieldy and difficult to interrogate. We present our approach to temporal analytics which combines nascent open standards for the storage and analysis of such data. As a proof of concept, we leveraged the Experience API to transform Moodle data into an informative temporal stream stored in a learning record store, and have designed and developed some representations of learning processes based on the needs of students and staff. These standards and approaches can be adopted by other practitioners and researchers to further the progress of temporal analytics.]]>
Presented at lak16time, Edinburgh (April 2016). There is a wealth of data already captured by learning management systems, especially from courses that are well-designed to take advantage of a variety of online activities. However, analyses of such data have been largely in aggregated form. This is compounded by database tables that are unwieldy and difficult to interrogate. We present our approach to temporal analytics which combines nascent open standards for the storage and analysis of such data. As a proof of concept, we leveraged the Experience API to transform Moodle data into an informative temporal stream stored in a learning record store, and have designed and developed some representations of learning processes based on the needs of students and staff. These standards and approaches can be adopted by other practitioners and researchers to further the progress of temporal analytics.]]> Tue, 26 Apr 2016 09:07:05 GMT /slideshow/xapi-and-temporality-open-standards-to-store-and-analyse-temporal-learner-data/61359945 DannyLiu8@slideshare.net(DannyLiu8) xAPI and Temporality: open standards to store and analyse temporal learner data DannyLiu8 Presented at lak16time, Edinburgh (April 2016). There is a wealth of data already captured by learning management systems, especially from courses that are well-designed to take advantage of a variety of online activities. However, analyses of such data have been largely in aggregated form. This is compounded by database tables that are unwieldy and difficult to interrogate. We present our approach to temporal analytics which combines nascent open standards for the storage and analysis of such data. As a proof of concept, we leveraged the Experience API to transform Moodle data into an informative temporal stream stored in a learning record store, and have designed and developed some representations of learning processes based on the needs of students and staff. These standards and approaches can be adopted by other practitioners and researchers to further the progress of temporal analytics. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/xapiandtemporality-160426090705-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at lak16time, Edinburgh (April 2016). There is a wealth of data already captured by learning management systems, especially from courses that are well-designed to take advantage of a variety of online activities. However, analyses of such data have been largely in aggregated form. This is compounded by database tables that are unwieldy and difficult to interrogate. We present our approach to temporal analytics which combines nascent open standards for the storage and analysis of such data. As a proof of concept, we leveraged the Experience API to transform Moodle data into an informative temporal stream stored in a learning record store, and have designed and developed some representations of learning processes based on the needs of students and staff. These standards and approaches can be adopted by other practitioners and researchers to further the progress of temporal analytics.
xAPI and Temporality: open standards to store and analyse temporal learner data from Danny Liu
]]> 594 7 https://cdn.slidesharecdn.com/ss_thumbnails/xapiandtemporality-160426090705-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Empowering instructors through customizable collection and analyses of actionable information /slideshow/empowering-instructors-through-customizable-collection-and-analyses-of-actionable-information/61359690 empoweringinstructors-160426090048
Presented at Learning Analytics for Curriculum and Program Quality Improvement Workshop at LAK16, Edinburgh (April 2016). The use of analytics to support learning has been increasing over the last few years. However, there is still a significant disconnect between what algorithms and technology offer and what everyday instructors need to integrate actionable items from these tools into their learning environments. In this paper we present the evolution of the Student Relationship Engagement System, a platform to support instructors to select, collect, and analyze student data. The approach provides instructors the ultimate control over the decision process to deploy various actions. The approach has two objectives: to increase instructor data literacies and competencies, and to provide a low adoption barrier to promote a data-driven pedagogical improvement culture in educational institutions. The system is currently being used in 58 courses and 14 disciplines, and reaches over 20,000 students. For videos, see https://youtu.be/rPf45SzTvuM and https://youtu.be/sJBtNTruCGk]]>
Presented at Learning Analytics for Curriculum and Program Quality Improvement Workshop at LAK16, Edinburgh (April 2016). The use of analytics to support learning has been increasing over the last few years. However, there is still a significant disconnect between what algorithms and technology offer and what everyday instructors need to integrate actionable items from these tools into their learning environments. In this paper we present the evolution of the Student Relationship Engagement System, a platform to support instructors to select, collect, and analyze student data. The approach provides instructors the ultimate control over the decision process to deploy various actions. The approach has two objectives: to increase instructor data literacies and competencies, and to provide a low adoption barrier to promote a data-driven pedagogical improvement culture in educational institutions. The system is currently being used in 58 courses and 14 disciplines, and reaches over 20,000 students. For videos, see https://youtu.be/rPf45SzTvuM and https://youtu.be/sJBtNTruCGk]]> Tue, 26 Apr 2016 09:00:48 GMT /slideshow/empowering-instructors-through-customizable-collection-and-analyses-of-actionable-information/61359690 DannyLiu8@slideshare.net(DannyLiu8) Empowering instructors through customizable collection and analyses of actionable information DannyLiu8 Presented at Learning Analytics for Curriculum and Program Quality Improvement Workshop at LAK16, Edinburgh (April 2016). The use of analytics to support learning has been increasing over the last few years. However, there is still a significant disconnect between what algorithms and technology offer and what everyday instructors need to integrate actionable items from these tools into their learning environments. In this paper we present the evolution of the Student Relationship Engagement System, a platform to support instructors to select, collect, and analyze student data. The approach provides instructors the ultimate control over the decision process to deploy various actions. The approach has two objectives: to increase instructor data literacies and competencies, and to provide a low adoption barrier to promote a data-driven pedagogical improvement culture in educational institutions. The system is currently being used in 58 courses and 14 disciplines, and reaches over 20,000 students. For videos, see https://youtu.be/rPf45SzTvuM and https://youtu.be/sJBtNTruCGk <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/empoweringinstructors-160426090048-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at Learning Analytics for Curriculum and Program Quality Improvement Workshop at LAK16, Edinburgh (April 2016). The use of analytics to support learning has been increasing over the last few years. However, there is still a significant disconnect between what algorithms and technology offer and what everyday instructors need to integrate actionable items from these tools into their learning environments. In this paper we present the evolution of the Student Relationship Engagement System, a platform to support instructors to select, collect, and analyze student data. The approach provides instructors the ultimate control over the decision process to deploy various actions. The approach has two objectives: to increase instructor data literacies and competencies, and to provide a low adoption barrier to promote a data-driven pedagogical improvement culture in educational institutions. The system is currently being used in 58 courses and 14 disciplines, and reaches over 20,000 students. For videos, see https://youtu.be/rPf45SzTvuM and https://youtu.be/sJBtNTruCGk
Empowering instructors through customizable collection and analyses of actionable information from Danny Liu
]]> 145 5 https://cdn.slidesharecdn.com/ss_thumbnails/empoweringinstructors-160426090048-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 [Extended] Bottom-up growth of learning analytics at two Australian universities: �Empowering staff with actionable intelligence to improve student outcomes /DannyLiu8/extended-bottomup-growth-of-learning-analytics-at-two-australian-universities-empowering-staff-with-actionable-intelligence-to-improve-student-outcomes bottom-upgrowthofla-160416081432
Presented at the University of New South Wales Learning Analytics and Educational Data Science research group meeting, April 2016. This presentation will outline two approaches to learning analytics at the University of Sydney and Macquarie University, where staff are closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. The University of Sydney system, called the Student Relationship Engagement System (SRES), is a highly-customisable web-based tool that supports the efficient capture and collation of student datasets. A companion mobile app helps staff quickly collect and access student data. Through an embedded messaging system, teaching staff can set up fully customisable rules to contact students via personalised emails and text messages. A nascent feature allows staff to leverage machine learning to uncover hidden patterns and relationships within and between datasets. The Macquarie University system is an enhancement of an existing Moodle plug-in, the Moodle Engagement Analytics Plugin (MEAP). MEAP can readily access data on student assessments, completions, login activity, forum activity, and the gradebook, amongst others, which are customisably represented as ‘risk indicators’. MEAP allows flexible and customisable interrogation of these data, and provides staff the ability to send personalised emails to students based on these risk indicators. At both institutions, these learning analytics approaches have grown from the grassroots to address pressing staff needs, highlighting the importance of this bespoke coevolution process of design, development, and implementation. The systems have enjoyed substantial organic adoption and are associated with positive student outcomes. As open source developments, we are very interested in working together to open up accessible learning analytics to teachers and students.]]>
Presented at the University of New South Wales Learning Analytics and Educational Data Science research group meeting, April 2016. This presentation will outline two approaches to learning analytics at the University of Sydney and Macquarie University, where staff are closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. The University of Sydney system, called the Student Relationship Engagement System (SRES), is a highly-customisable web-based tool that supports the efficient capture and collation of student datasets. A companion mobile app helps staff quickly collect and access student data. Through an embedded messaging system, teaching staff can set up fully customisable rules to contact students via personalised emails and text messages. A nascent feature allows staff to leverage machine learning to uncover hidden patterns and relationships within and between datasets. The Macquarie University system is an enhancement of an existing Moodle plug-in, the Moodle Engagement Analytics Plugin (MEAP). MEAP can readily access data on student assessments, completions, login activity, forum activity, and the gradebook, amongst others, which are customisably represented as ‘risk indicators’. MEAP allows flexible and customisable interrogation of these data, and provides staff the ability to send personalised emails to students based on these risk indicators. At both institutions, these learning analytics approaches have grown from the grassroots to address pressing staff needs, highlighting the importance of this bespoke coevolution process of design, development, and implementation. The systems have enjoyed substantial organic adoption and are associated with positive student outcomes. As open source developments, we are very interested in working together to open up accessible learning analytics to teachers and students.]]> Sat, 16 Apr 2016 08:14:32 GMT /DannyLiu8/extended-bottomup-growth-of-learning-analytics-at-two-australian-universities-empowering-staff-with-actionable-intelligence-to-improve-student-outcomes DannyLiu8@slideshare.net(DannyLiu8) [Extended] Bottom-up growth of learning analytics at two Australian universities: �Empowering staff with actionable intelligence to improve student outcomes DannyLiu8 Presented at the University of New South Wales Learning Analytics and Educational Data Science research group meeting, April 2016. This presentation will outline two approaches to learning analytics at the University of Sydney and Macquarie University, where staff are closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. The University of Sydney system, called the Student Relationship Engagement System (SRES), is a highly-customisable web-based tool that supports the efficient capture and collation of student datasets. A companion mobile app helps staff quickly collect and access student data. Through an embedded messaging system, teaching staff can set up fully customisable rules to contact students via personalised emails and text messages. A nascent feature allows staff to leverage machine learning to uncover hidden patterns and relationships within and between datasets. The Macquarie University system is an enhancement of an existing Moodle plug-in, the Moodle Engagement Analytics Plugin (MEAP). MEAP can readily access data on student assessments, completions, login activity, forum activity, and the gradebook, amongst others, which are customisably represented as ‘risk indicators’. MEAP allows flexible and customisable interrogation of these data, and provides staff the ability to send personalised emails to students based on these risk indicators. At both institutions, these learning analytics approaches have grown from the grassroots to address pressing staff needs, highlighting the importance of this bespoke coevolution process of design, development, and implementation. The systems have enjoyed substantial organic adoption and are associated with positive student outcomes. As open source developments, we are very interested in working together to open up accessible learning analytics to teachers and students. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bottom-upgrowthofla-160416081432-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at the University of New South Wales Learning Analytics and Educational Data Science research group meeting, April 2016. This presentation will outline two approaches to learning analytics at the University of Sydney and Macquarie University, where staff are closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. The University of Sydney system, called the Student Relationship Engagement System (SRES), is a highly-customisable web-based tool that supports the efficient capture and collation of student datasets. A companion mobile app helps staff quickly collect and access student data. Through an embedded messaging system, teaching staff can set up fully customisable rules to contact students via personalised emails and text messages. A nascent feature allows staff to leverage machine learning to uncover hidden patterns and relationships within and between datasets. The Macquarie University system is an enhancement of an existing Moodle plug-in, the Moodle Engagement Analytics Plugin (MEAP). MEAP can readily access data on student assessments, completions, login activity, forum activity, and the gradebook, amongst others, which are customisably represented as ‘risk indicators’. MEAP allows flexible and customisable interrogation of these data, and provides staff the ability to send personalised emails to students based on these risk indicators. At both institutions, these learning analytics approaches have grown from the grassroots to address pressing staff needs, highlighting the importance of this bespoke coevolution process of design, development, and implementation. The systems have enjoyed substantial organic adoption and are associated with positive student outcomes. As open source developments, we are very interested in working together to open up accessible learning analytics to teachers and students.
[Extended] Bottom-up growth of learning analytics at two Australian universities: Empowering staff with actionable intelligence to improve student outcomes from Danny Liu
]]> 236 6 https://cdn.slidesharecdn.com/ss_thumbnails/bottom-upgrowthofla-160416081432-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A tale of two universities - organic growth of learning analytics through bespoke coevolution /slideshow/a-tale-of-two-universities-organic-growth-of-learning-analytics-through-bespoke-coevolution/59671731 taleoftwouniversities-160317103544
ACODE70 Despite calls for actionable information, few learning analytics approaches nationally allow staff to easily ‘do’ anything with data. Coupled with the typically long development cycles of software tools, this has the potential to stall uptake of learning analytics by interested staff. This presentation will outline two approaches at the University of Sydney and Macquarie University where staff were closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. This allowed the tools to meet pressing needs, and has led to substantial organic adoption and positive student outcomes. These highlight the importance of grassroots developments for building wider learning analytics capabilities.]]>
ACODE70 Despite calls for actionable information, few learning analytics approaches nationally allow staff to easily ‘do’ anything with data. Coupled with the typically long development cycles of software tools, this has the potential to stall uptake of learning analytics by interested staff. This presentation will outline two approaches at the University of Sydney and Macquarie University where staff were closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. This allowed the tools to meet pressing needs, and has led to substantial organic adoption and positive student outcomes. These highlight the importance of grassroots developments for building wider learning analytics capabilities.]]> Thu, 17 Mar 2016 10:35:44 GMT /slideshow/a-tale-of-two-universities-organic-growth-of-learning-analytics-through-bespoke-coevolution/59671731 DannyLiu8@slideshare.net(DannyLiu8) A tale of two universities - organic growth of learning analytics through bespoke coevolution DannyLiu8 ACODE70 Despite calls for actionable information, few learning analytics approaches nationally allow staff to easily ‘do’ anything with data. Coupled with the typically long development cycles of software tools, this has the potential to stall uptake of learning analytics by interested staff. This presentation will outline two approaches at the University of Sydney and Macquarie University where staff were closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. This allowed the tools to meet pressing needs, and has led to substantial organic adoption and positive student outcomes. These highlight the importance of grassroots developments for building wider learning analytics capabilities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/taleoftwouniversities-160317103544-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ACODE70 Despite calls for actionable information, few learning analytics approaches nationally allow staff to easily ‘do’ anything with data. Coupled with the typically long development cycles of software tools, this has the potential to stall uptake of learning analytics by interested staff. This presentation will outline two approaches at the University of Sydney and Macquarie University where staff were closely involved in the coevolution and development of two bespoke learning analytics tools to personalise student-staff interactions at scale. This allowed the tools to meet pressing needs, and has led to substantial organic adoption and positive student outcomes. These highlight the importance of grassroots developments for building wider learning analytics capabilities.
A tale of two universities - organic growth of learning analytics through bespoke coevolution from Danny Liu
]]> 303 4 https://cdn.slidesharecdn.com/ss_thumbnails/taleoftwouniversities-160317103544-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Bottom-up growth of learning analytics at two Australian universities: �Empowering staff with actionable intelligence to improve student outcomes /slideshow/bottomup-growth-of-learning-analytics-at-two-australian-universities-empowering-staff-with-actionable-intelligence-to-improve-student-outcomes/58260483 bottomup-growth-of-la-160215050150
University of Otago, February 2016]]>
University of Otago, February 2016]]> Mon, 15 Feb 2016 05:01:50 GMT /slideshow/bottomup-growth-of-learning-analytics-at-two-australian-universities-empowering-staff-with-actionable-intelligence-to-improve-student-outcomes/58260483 DannyLiu8@slideshare.net(DannyLiu8) Bottom-up growth of learning analytics at two Australian universities: �Empowering staff with actionable intelligence to improve student outcomes DannyLiu8 University of Otago, February 2016 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bottomup-growth-of-la-160215050150-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> University of Otago, February 2016
Bottom-up growth of learning analytics at two Australian universities: Empowering staff with actionable intelligence to improve student outcomes from Danny Liu
]]> 486 4 https://cdn.slidesharecdn.com/ss_thumbnails/bottomup-growth-of-la-160215050150-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Developing independence in �pre-transition students through hybrid learning environments /slideshow/developing-independence-in-pretransition-students-through-hybrid-learning-environments/57817568 acsmehybridenvironments-160203080350
Presentation at ACSME 2014, The University of Sydney.]]>
Presentation at ACSME 2014, The University of Sydney.]]> Wed, 03 Feb 2016 08:03:50 GMT /slideshow/developing-independence-in-pretransition-students-through-hybrid-learning-environments/57817568 DannyLiu8@slideshare.net(DannyLiu8) Developing independence in �pre-transition students through hybrid learning environments DannyLiu8 Presentation at ACSME 2014, The University of Sydney. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acsmehybridenvironments-160203080350-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation at ACSME 2014, The University of Sydney.
Developing independence in pre-transition students through hybrid learning environments from Danny Liu
]]> 302 4 https://cdn.slidesharecdn.com/ss_thumbnails/acsmehybridenvironments-160203080350-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Fostering student engagement and participation: Online tools in and out of class /slideshow/fostering-student-engagement-and-participation-online-tools-in-and-out-of-class/57817538 edtechlargeclassesdanny-160203080239
Presentation to #edtech at the University of Sydney, 31 October 2014.]]>
Presentation to #edtech at the University of Sydney, 31 October 2014.]]> Wed, 03 Feb 2016 08:02:39 GMT /slideshow/fostering-student-engagement-and-participation-online-tools-in-and-out-of-class/57817538 DannyLiu8@slideshare.net(DannyLiu8) Fostering student engagement and participation: Online tools in and out of class DannyLiu8 Presentation to #edtech at the University of Sydney, 31 October 2014. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/edtechlargeclassesdanny-160203080239-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation to #edtech at the University of Sydney, 31 October 2014.
Fostering student engagement and participation: Online tools in and out of class from Danny Liu
]]> 374 5 https://cdn.slidesharecdn.com/ss_thumbnails/edtechlargeclassesdanny-160203080239-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Flipped classrooms and more: How can we improve our teaching methods to enhance student learning? /slideshow/flipped-classrooms-and-more-how-can-we-improve-our-teaching-methods-to-enhance-student-learning/57817363 pharmacyltretreat4nov2015workshop-160203075546
Teaching development workshop for Faculty of Pharmacy at the University of Sydney. 4 November 2015.]]>
Teaching development workshop for Faculty of Pharmacy at the University of Sydney. 4 November 2015.]]> Wed, 03 Feb 2016 07:55:46 GMT /slideshow/flipped-classrooms-and-more-how-can-we-improve-our-teaching-methods-to-enhance-student-learning/57817363 DannyLiu8@slideshare.net(DannyLiu8) Flipped classrooms and more: How can we improve our teaching methods to enhance student learning? DannyLiu8 Teaching development workshop for Faculty of Pharmacy at the University of Sydney. 4 November 2015. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pharmacyltretreat4nov2015workshop-160203075546-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Teaching development workshop for Faculty of Pharmacy at the University of Sydney. 4 November 2015.
Flipped classrooms and more: How can we improve our teaching methods to enhance student learning? from Danny Liu
]]> 332 6 https://cdn.slidesharecdn.com/ss_thumbnails/pharmacyltretreat4nov2015workshop-160203075546-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Co-developing �bespoke, enterprise-scale analytics systems with teaching staff /slideshow/codeveloping-bespoke-enterprisescale-analytics-systems-with-teaching-staff-57817212/57817212 dannynswlawg3feb2016-160203075010
Presentation at the NSW Learning Analytics Working Group meeting, 3 February 2016, at the University of Technology, Sydney. Covering projects from Macquarie University and the University of Sydney.]]>
Presentation at the NSW Learning Analytics Working Group meeting, 3 February 2016, at the University of Technology, Sydney. Covering projects from Macquarie University and the University of Sydney.]]> Wed, 03 Feb 2016 07:50:10 GMT /slideshow/codeveloping-bespoke-enterprisescale-analytics-systems-with-teaching-staff-57817212/57817212 DannyLiu8@slideshare.net(DannyLiu8) Co-developing �bespoke, enterprise-scale analytics systems with teaching staff DannyLiu8 Presentation at the NSW Learning Analytics Working Group meeting, 3 February 2016, at the University of Technology, Sydney. Covering projects from Macquarie University and the University of Sydney. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dannynswlawg3feb2016-160203075010-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation at the NSW Learning Analytics Working Group meeting, 3 February 2016, at the University of Technology, Sydney. Covering projects from Macquarie University and the University of Sydney.
Co-developing bespoke, enterprise-scale analytics systems with teaching staff from Danny Liu
]]> 684 4 https://cdn.slidesharecdn.com/ss_thumbnails/dannynswlawg3feb2016-160203075010-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A personalized and cross institutional approach to connect students with staff through customisable analytics /slideshow/a-personalized-and-cross-institutional-approach-to-connect-students-with-staff-through-customisable-analytics/57817110 apersonalizedandcross-institutionalapproachtoconnectstudents-160203074701
Presentation at ascilite learning analytics special interest group meeting at ascilite 2015. For more information, see video: https://youtu.be/LjxSZWtWxT0]]>
Presentation at ascilite learning analytics special interest group meeting at ascilite 2015. For more information, see video: https://youtu.be/LjxSZWtWxT0]]> Wed, 03 Feb 2016 07:47:01 GMT /slideshow/a-personalized-and-cross-institutional-approach-to-connect-students-with-staff-through-customisable-analytics/57817110 DannyLiu8@slideshare.net(DannyLiu8) A personalized and cross institutional approach to connect students with staff through customisable analytics DannyLiu8 Presentation at ascilite learning analytics special interest group meeting at ascilite 2015. For more information, see video: https://youtu.be/LjxSZWtWxT0 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apersonalizedandcross-institutionalapproachtoconnectstudents-160203074701-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation at ascilite learning analytics special interest group meeting at ascilite 2015. For more information, see video: https://youtu.be/LjxSZWtWxT0
A personalized and cross institutional approach to connect students with staff through customisable analytics from Danny Liu
]]> 303 5 https://cdn.slidesharecdn.com/ss_thumbnails/apersonalizedandcross-institutionalapproachtoconnectstudents-160203074701-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 An enhanced learning analytics plugin for Moodle: Student engagement and personalised intervention /slideshow/an-enhanced-learning-analytics-plugin-for-moodle-student-engagement-and-personalised-intervention/57816904 anenhancedlearninganalyticspluginformoodle-dannyliu-ascilite2015-160203073940
Presentation at ascilite 2015, Perth, Australia. Full paper: https://www.academia.edu/19123100/An_enhanced_learning_analytics_plugin_for_Moodle_student_engagement_and_personalised_intervention]]>
Presentation at ascilite 2015, Perth, Australia. Full paper: https://www.academia.edu/19123100/An_enhanced_learning_analytics_plugin_for_Moodle_student_engagement_and_personalised_intervention]]> Wed, 03 Feb 2016 07:39:40 GMT /slideshow/an-enhanced-learning-analytics-plugin-for-moodle-student-engagement-and-personalised-intervention/57816904 DannyLiu8@slideshare.net(DannyLiu8) An enhanced learning analytics plugin for Moodle: Student engagement and personalised intervention DannyLiu8 Presentation at ascilite 2015, Perth, Australia. Full paper: https://www.academia.edu/19123100/An_enhanced_learning_analytics_plugin_for_Moodle_student_engagement_and_personalised_intervention <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anenhancedlearninganalyticspluginformoodle-dannyliu-ascilite2015-160203073940-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation at ascilite 2015, Perth, Australia. Full paper: https://www.academia.edu/19123100/An_enhanced_learning_analytics_plugin_for_Moodle_student_engagement_and_personalised_intervention
An enhanced learning analytics plugin for Moodle: Student engagement and personalised intervention from Danny Liu
]]> 1990 7 https://cdn.slidesharecdn.com/ss_thumbnails/anenhancedlearninganalyticspluginformoodle-dannyliu-ascilite2015-160203073940-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-DannyLiu8-48x48.jpg?cb=1527603428 sydney.academia.edu/DannyLiu https://cdn.slidesharecdn.com/ss_thumbnails/chooseyourownadventure-dannyliu-slides-170401080446-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/choose-your-own-adventure-using-live-feedback-to-place-learning-back-into-the-hands-of-students/74138571 Choose your own advent... https://cdn.slidesharecdn.com/ss_thumbnails/xapiandtemporality-160426090705-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/xapi-and-temporality-open-standards-to-store-and-analyse-temporal-learner-data/61359945 xAPI and Temporality: ... https://cdn.slidesharecdn.com/ss_thumbnails/empoweringinstructors-160426090048-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/empowering-instructors-through-customizable-collection-and-analyses-of-actionable-information/61359690 Empowering instructors...