Doctoral Consortium
Doctoral Consortium
A message from one of your DC Chairs to DC presenters: Loom | Free Screen & Video Recording Software – 27 June 2022.
See Programme Overview – AIED2022 for updated Doctoral Consortium Schedule.
Accepted DC Papers
| Title | Authors |
| The Black-box Syndrome: Embracing Randomness in Machine Learning Models | Zach Anthis |
| Developing an Inclusive Q&A Chatbot in Massive Open Online Courses | Songhee Han and Min Liu |
| Graph Entropy-Based Learning Analytics | Ali Al-Zawqari and Gerd Vandersteen |
| Generating Narratives of Video Segments to Support Learning | Abrar Mohammed and Vania Dimitrova |
| Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Educators in Online Learning Platforms | Aaron Haim, Ethan Prihar and Neil Heffernan |
Grading Programming Assignments with an Automated Grading and Feedback Assistant | Marcus Messer |
| Scaffolding Self-regulated Learning in Game-based Learning Environments Based on Complex Systems Theory | Daryn Dever and Roger Azevedo |
| Speech and eye tracking features for L2 acquisition: a multimodal experiment | Sofiya Kobylyanskaya |
| Using Open Source Technologies and Generalizable Procedures in Conversational and Affective Intelligent tutoring systems | Romina Soledad Albornoz De Luise, Miguel Arevalillo-Herráez and David Arnau |
| A context-aware approach to personalized feedback in novice programmers | Hemilis Joyse Barbosa Rocha, Patricia Cabral de Azevedo Restelli Tedesco and Evandro de Barros Costa |
| Towards Speech-based Collaboration Detection in a Noisy Classroom | Bahar Shahrokhian and Kurt Vanlehn |
| Exploring Fairness in Automated Grading and Feedback Generation of Open-Response Math Problems | Ashish Gurung and Neil T. Heffernan |