Thanks for attending the Workshop on Education and Social Science Technologies on 19-21 Jul!
Whether you attended the whole workshop, came in just for tutorials or a single session or watched our live simucasts on YouTube, we are grateful that you attended and got a chance to participate in WESST.
NUS is making a big push towards pedagogical innovation and research and incorporating computational aspects into social science. WESST is just the start of the dialogue with you and your interests, and we hope to grow academic staff into contributing towards these lines of research.
In the following weeks, we’ll be following up and checking whether you have interest in learning more about the research programmes in NUS ALSET (Institute for the Application of Learning Sciences and Education Technology) and those in Computational Social Sciences. ALSET, in particular, is looking for academic staff interested in partnering with us to form core and affiliated faculty as part of its NUS-wide interdisciplinary institution that can serve you in shaping, defining and publishing your work towards the goals of helping learners learn better.
The outputs of the workshop are available online and we encourage you to share these resources with your colleagues in your department and to others beyond NUS that share likeminded interests in the themes of our workshop.
Once again, thank you for attending WESST!
– Min, Tuan, Joseph and Chris
WESST organizing committee, on behalf of the Department of Computer Science, School of Computing and
NUS ALSET (Institute for the Application of Learning Sciences and Education Technology)
WESST 2 mins Closing Video: https://www.youtube.com/watch?v=ZiFZfkSRuIg
For all tutorials and presentations, presentation slides and videos are archived on SlideShare and YouTube. Get all the links here: http://tiny.cc/wesst
** Tutorials (19th Jul):
> Introduction to WESST, Preview of the ALSET Data Lake, by Min Yen Kan, Tuan Phan, Joseph Jay Williams
> LearnSphere and Datashop, by John Stamper, Carnegie Mellon University, Human-Computer Interaction Institute
> Basics of Deep Learning, by Animesh Prasad, NUS, Computer Science> Leveraging Technology for Collaborative, Dynamic, Personalized Experimentation, by Joseph Jay Williams, Information Systems and Analytics
> Econometrics and Social Science Methods, by Tuan Q. Phan, NUS, Information Systems and Analytics
> Sentiment Analysis on Social Media, by Wenqiang Lei, and Kishaloy Halder, NUS, Computer Science
> From Data to Design of Dynamic Support for Collaborative Learning, by Carolyn Rosé, Carnegie Mellon University, Language Technologies Institute and HCI Institute
> Getting Started on the Computational Social Sciences, by Tuan Q. Phan, NUS, Information Systems and Analytics > Learning Analytics Data Policy and Adoption Strategies (Teachers to Take Interventions), by Dragan Gašević, University of Edinburgh, Schools of Education and Informatics
> AutoTutor, an Implementation of Conversation-Based Intelligent Tutoring Systems (ITS), by Xiangen Hu, University of Memphis, Psychology
** Research Workshop Speakers (20-21st Jul):
* 20 Jul
> Introducing ALSET & SoC, Opportunities at NUS for Data and Intervention, Data Dictionary, visit by Computer Science Department Head, Tan Kian Lee.
> Keynote: Critical Directions for Learning Analytics Research and Practice, by Dragan Gašević, University of Edinburgh, Schools of Education and Informatics
> TEAMMATES: A Flexible Feedback Management System for Education, by Damith Rajapakse, NUS, Computer Science
> VisuAlgo: Visualizing Data Structures and Algorithms through Animation, by Steven Halim, NUS, Computer Science
> Archipelago: Live Interaction Platform for Large Classes, by Soo Yuen Jien, NUS, Computer Science
> Keynote: Continuous Improvement of Educational Technology through Discoveries with Big Data, by John Stamper, Carnegie Mellon University, Human-Computer Interaction Institute
> Connecting Instructors with Social Behavioral Scientists and Machine Learning Researchers: Collaborative, Dynamic, Personalized Experimentation in MOOClets, by Joseph Jay Williams, NUS, Information Systems and Analytics, School of Computing
> Theatre Performances as Data: Implications for Research and Teaching, by Miguel Escobar, NUS, Theatre Studies & Contemporary Wayang Archive
> NUS’ Technology Enhanced Learning Environment, by Ravi Chandran, NUS, Centre for Instructional Technology.
> Applied Research in Workforce Development, by Jo Fang, Institute for Adult Learning
> Social Networks and Causal Inference, by Prasanta Bhattacharya, Institute of High Performance Computing (IHPC)
> Closing Summary & Discussion – Day 1
* 21 Jul
> Second Day Opening
> Keynote: Technology Support for Effective Team-Based Learning in Online Education, by Carolyn Rosé, Carnegie Mellon University, Language Technologies Institute and HCI Institute
> Leveraging learning analytics to formatively assess teamwork, by Elizabeth Koh, National Institute of Education, Office of Education Research
> Dynamically Personalized Interventions, by Bibhas Chakraborty, Duke-NUS
> LA Visualisations to Foster Collaborative Critical Reading Skills and Deepen Learning Engagement in English Language: Students’ Perceived Benefits and Problematics, by Jennifer Tan, National Institute of Education, Office of Education Research
> Using Discourse Signals for Robust Instructor Intervention Prediction, by Muthu Kumar Chandrasekaran, NUS, Computer Science
> Keynote: Conversational Tutors and the Experience API, by Xiangen Hu, University of Memphis, Psychology
> Automated Assessment of Argumentation in Science Classrooms, by Wenli Chen, National Institute of Education, Learning Sciences & Technologies
> Panel & Audience Discussion & Closing Remarks: Bringing Research to Bear on Learning at NUS
Again, presentation slides and videos are archived and available from: http://tiny.cc/wesst