Data Natives Paris Meetup -15 May 2019
This document discusses the issue of school dropouts. It defines a school dropout and lists some common characteristics like demographic factors, health issues, and mental illness. It describes the impacts of dropping out such as decreasing the talent pool of a nation, less earnings, and more government expenses. The document proposes using big data like login frequency, social media usage, clickstream data, and keyword detection to help identify early signals of potential dropouts. It recommends prevention methods like social assistance programs, special awareness programs, regular follow-ups, and sports to help prevent students from dropping out. The key takeaways focus on improving skills and addressing legal/regulatory requirements when using data to tackle the complex issue of school dropouts.
Data Natives Paris Meetup -15 May 2019
- 1. Use Case: The School Dropout 15 May 2019 Greg Soukiassian Senior Project Manager Unsplash息 Moren Hsu
- 2. Agenda Definition What Impact? Big Data into the Big Picture Detecting early signals Prevention Key takeaways
- 3. Biography Senior Project Manager at Ministry of Education Certified Professional in BCM Data architect, Big Data Ops 25+ years in IT Services Data Natives Ambassador Im a positive individual, yet skeptical 3
- 4. Definition Leaving high school, college, university or another group for practical reasons, necessities, or disillusionment with the system from which the individual in question leaves. Withdrawal from established society, especially to pursue an alternate lifestyle.
- 5. Common Dropout Characteristics Demographic factors Socio-economic characteristics of a population expressed statistically: age, sex, education level, income level, marital status Health issues Chronic diseases Asthma, Diabetes, Cancer, AIDS, Epilepsy, Congenital heart issues,.. Mental Illness Disorders: Anxiety, Bipolar, Depression, Obsessive- Compulsive, Schizophrenia,..
- 6. Different risks affecting individuals Parents Physical Environment Personality Humans are physical, biological, psychological, cultural, social, historical beings. This complex unity of human nature has been so thoroughly disintegrated by education divided into disciplines, that we can no longer learn what human being means. Pascal Morin
- 7. Consequences of Dropout Decreases the talent pool of a Nation Less earnings and less income to the Economy Influx of government expenses (Education, Justice, Healthcare) More violence and loneliness Less engagement among teenagers
- 8. Integrate IT: how frequently is the student logging-in into his/her account? Social Data: time spent on Social Media on a daily basis Clickstream data and sentiment analysis Detection by keywords on the web (Google search, blogs, Tweets, Instagram, FB groups..) Big Data into the Big Picture: Detecting early Signals
- 9. Social assistance Special programs (awareness) Regular Follow-up Sports Big Data into the Big Picture: Preventing Dropout
- 10. 10 Key Takeaways What worked well People: Team building Tools, Data sources Data availability, its capture, auditing and Master data management Improvements to be expected MAD skills Legal & regulatory requirements (access, analyze, share) Supervised methods and set of training data: how big is enough? Discrete outcomes (Y/N), and thresholds to be set (a probability being returned with logistic regression approach <> binary classification problems) Test, test, test..