As data and analytics technologies transform education and the social sciences, we have an unprecedented opportunity to effect positive change in both these fields. To explore this opportunity, we are pleased to host our inaugural WESST workshop on 19-21 July at the National University of Singapore (NUS).
WESST is co-hosted by the School of Computing (SoC) and the Institute for the Application of Learning Science and Educational Technology (ALSET) at NUS. Over three days, the event will include tutorials and workshops from some of the world’s leading voices in education and social science technology. It will also include a competition for students and researchers with an interest in these technologies.
In addition to highlighting case studies from around the world, we will also showcase how NUS is leading the way in education technology. For example, we will discuss how ALSET is tearing down institutional barriers and assembling one of the most comprehensive educational datasets of its kind, thereby supporting cutting-edge research on the long-term impact of learning interventions.
Watch Talks Online: Many talks will be live streamed and recorded, to enable broad participation and provide an archive for later viewing. Click on the Youtube hyperlinks beside a talk to watch it live, or see the recorded talk afterwards.
tiny.cc/wesst is an easy to remember shortcut URL, to return to or share this schedule page.
14:00-15:30 Tutorials Session 3
> From Data to Design of Dynamic Support for Collaborative Learning, byCarolyn Rosé, Carnegie Mellon University, Language Technologies Institute and HCI Institute (STMI Classroom, I303-44).
> Learning Analytics Data Policy and Adoption Strategies (Teachers to Take Interventions), by Dragan Gašević, University of Edinburgh, Schools of Education and Informatics (CHI Classroom, I303-40).
16:00-18:00 Tutorials Session 4 & Ed Tech Challenge
> AutoTutor, an Implementation of Conversation-Based Intelligent Tutoring Systems (ITS), by Xiangen Hu, University of Memphis, Psychology (CHI Classroom, 03-40).
09:30-10:30 Keynote: Critical Directions for Learning Analytics Research and Practice, by Dragan Gašević, University of Edinburgh, Schools of Education and Informatics. (Slides) (Slides and Youtube video from Wednesday talk)
10:30-10:50 TEAMMATES: A Flexible Feedback Management System for Education, by Damith Rajapakse, NUS, Computer Science.
14:00-14:30 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.
11:45-12:05 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.
14:45-15:05 Automated Assessment of Argumentation in Science Classrooms, byWenli Chen, National Institute of Education, Learning Sciences & Technologies.
15:05-16:35 Panel & Audience Discussion & Closing Remarks: Bringing Research to Bear on Learning at NUS
> Presentation of Key Questions for Panel & Audience to Discuss
> Key Insights & Closing Remarks
> Discussion of Future Directions
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 …
Prof. Dragan Gašević will be giving the following invited talk at WESST! Critical directions for learning analytics research and practice The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process. This promise motivated the emergence of …
Prof. Carolyn Rosé will be giving the following invited talk at WESST! Technology Support for Effective Team-Based Learning in Online Education Computational Discourse Analysis is an active area of Learning Analytics that offers real time insights into social processes that impact learning and performance in online courses. This talk reports on research that leverages this …