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Publication search results
found 116 matches
- 2017
- Jie Tang:
Can AI help MOOCs? EDM 2017 - Rakesh Agrawal, Sharad Nandanwar, Narasimha Murty Musti:
Grouping Students for Maximizing Learning from Peers. EDM 2017 - Aaron Bauer, Jeff Flatten, Zoran Popovic:
Analysis of problem-solving behavior in open-ended scientific-discovery game challenges. EDM 2017 - Seth Adjei, Korinn Ostrow, Erik Erickson, Neil T. Heffernan:
Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. EDM 2017 - Ella Albrecht:
A Framework for the Estimation of Students' Programming Abilities. EDM 2017 - Truong-Sinh An, Christopher Krauss, Agathe Merceron:
Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses? EDM 2017 - Juan Miguel L. Andres, Ryan S. Baker, George Siemens, Dragan Gasevic, Catherine A. Spann, Scott A. Crossley:
Studying MOOC Completion at Scale Using the MOOC Replication Framework. EDM 2017 - Alexander Askinadze, Stefan Conrad:
Application of the Dynamic Time Warping Distance for the Student Drop-out Prediction on Time Series Data. EDM 2017 - Renu Balyan, Kathryn S. McCarthy, Danielle S. McNamara:
Combining Machine Learning and Natural Language Processing Approach to Assess Literary Text Comprehension. EDM 2017 - Yingying Bao, Guanliang Chen, Claudia Hauff:
On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning. EDM 2017 - Joseph Beck, Min Chi, Ryan S. Baker:
Workshop proposal: deep learning for educational data mining. EDM 2017 - Zhiqiang Cai, Brendan R. Eagan, Nia Dowell, James W. Pennebaker, Arthur C. Graesser, David W. Shaffer:
Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment. EDM 2017 - Meng Cao, Yun Tang, Xiangen Hu:
An Analysis of Students' Questions in MOOCs Forums. EDM 2017 - Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam:
Real-time programming exercise feedback in MOOCs. EDM 2017 - Heeryung Choi, Zijian Wang, Christopher Brooks, Kevyn Collins-Thompson, Beth Glover Reed, Dale Fitch:
Social work in the classroom? A tool to evaluate topical relevance in student writing. EDM 2017 - Irene-Angelica Chounta, Bruce M. McLaren, Patricia L. Albacete, Pamela W. Jordan, Sandra Katz:
Modeling the Zone of Proximal Development with a Computational Approach. EDM 2017 - Ronald Cole:
The evolution of virtual tutors, clinician, and companions: A 20-year perspective on conversational agents in real-world applications. EDM 2017 - Joshua Cook, Collin F. Lynch, Andrew Hicks, Behrooz Mostafavi:
Task and Timing: Separating Procedural and Tactical Knowledge in Student Models. EDM 2017 - Scott A. Crossley, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara:
Linking Language to Math Success in a Blended Course. EDM 2017 - R. Wes Crues:
Untangling The Program Name Versus The Curriculum: An Investigation of Titles and Curriculum Content. EDM 2017 - R. Wes Crues:
Automated Extraction of Results from Full Text Journal Articles. EDM 2017 - Sidney K. D'Mello, Caitlin Mills, Robert Bixler, Nigel Bosch:
Zone out no more: Mitigating mind wandering during computerized reading. EDM 2017 - Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu:
Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help. EDM 2017 - Nicholas Diana, John C. Stamper, Kenneth R. Koedinger:
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. EDM 2017 - Yi Dong, Gautam Biswas:
An Extended Learner Modeling Method to Assess Students' Learning Behaviors. EDM 2017 - Shayan Doroudi, Emma Brunskill:
The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. EDM 2017 - Vijay Ekambaram, Ruhi Sharma Mittal, Prasenjit Dey, Ravindranath Kokku, Aditya K. Sinha, Satya V. Nitta:
Tell Me More: Digital Eyes to the Physical World for Early Childhood Learning. EDM 2017 - Ying Fang, Benjamin Nye, Philip I. Pavlik Jr., Yonghong Xu, Arthur C. Graesser, Xiangen Hu:
Online Learning Persistence and Academic Achievement. EDM 2017 - Junchen Feng:
Identifiability of the Bayesian Knowledge Tracing Model. EDM 2017 - Josh Gardner, Christopher Brooks:
Toward Replicable Predictive Model Evaluation in MOOCs. EDM 2017
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