1. 2018
  2. Activating Learning at Scale: A Review of Innovations in Online Learning Strategies

    Davis, D., Chen, G., Hauff, C. & Houben, G-J. 2018 In : Computers & Education.

    Research output: Scientific - peer-reviewArticle

  3. Concept Focus: Semantic Meta-Data For Describing MOOC Content

    Mesbah, S., Chen, G., Torre, M. V., Bozzon, A., Lofi, C. & Houben, G-J. 2018 Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Proceedings. Pammer-Schindler, V., Pérez-Sanagustín, M., Drachsler, H., Elferink, R. & Scheffel, M. (eds.). Cham: Springer, p. 467-481 15 p. (Lecture Notes in Computer Science; vol. 11082)

    Research output: Scientific - peer-reviewConference contribution

  4. Feature Engineering for Second Language Acquisition Modeling

    Chen, G., Hauff, C. & Houben, G-J. 2018 Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications. p. 356-364 9 p.

    Research output: Scientific - peer-reviewConference contribution

  5. From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place

    Chen, G., Davis, D., Krause, M., Aivaloglou, E., Hauff, C. & Houben, G-J. 2018 (Accepted/In press) In : IEEE Transactions on Learning Technologies. 11, 2, p. 264-274 12 p.

    Research output: Scientific - peer-reviewArticle

  6. LearningQ: A Large-scale Dataset for Educational Question Generation

    Chen, G., Yang, J., Hauff, C. & Houben, G-J. 2018 Proceedings of the Twelfth International AAAI Conference on Web and Social Media. Association for the Advancement of Artificial Intelligence (AAAI), p. 481-490 10 p.

    Research output: Scientific - peer-reviewConference contribution

  7. 2017
  8. Follow the successful crowd: Raising MOOC completion rates through social comparison at scale

    Davis, D. J., Jivet, I., Kizilcec, R. F., Chen, G., Hauff, C. & Houben, G. J. 13 Mar 2017 LAK 2017 Conference Proceedings of the 7th International Learning Analytics and Knowledge Conference. New York, NY: Association for Computing Machinery (ACM), p. 454-463 10 p.

    Research output: Scientific - peer-reviewConference contribution

  9. Buying time: Enabling learners to become earners with a real-world paid task recommender system

    Chen, G., Davis, D. J., Krause, M., Hauff, C. & Houben, G-J. 2017 LAK 2017 Conference Proceedings of the 7th International Learning Analytics and Knowledge Conference. New York, NY: Association for Computing Machinery (ACM), p. 578-579 2 p.

    Research output: Scientific - peer-reviewConference contribution

  10. Certificate Achievement Unlocked: How Does MOOC Learners' Behaviour Change?

    Zhao, Y., Davis, D., Chen, G., Lofi, C., Hauff, C. & Houben, G-J. 2017 Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017. New York, NY: Association for Computing Machinery (ACM), p. 83-88 6 p.

    Research output: Scientific - peer-reviewConference contribution

  11. On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning: A replicant study

    Bao, Y., Chen, G. & Hauff, C. 2017 Proceedings of the 10th International Conference on Educational Data Mining. Hu, X., Barnes, T., Hershkovitz, A. & Paquette, L. (eds.). International Educational Data Mining Society (IEDMS), p. 262-265 4 p.

    Research output: Scientific - peer-reviewConference contribution

  12. Workshop on Integrated Learning Analytics of MOOC Post-Course Development

    Wang, Y., Davis, D., Chen, G. & Paquette, L. 2017 LAK 2017 Conference Proceedings of the 7th International Learning Analytics and Knowledge Conference. New York, NY: Association for Computer Machinery, p. 506-507 2 p.

    Research output: Scientific - peer-reviewConference contribution

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