Guanliang Chen, Dan Davis, Markus Krause, Efthimia Aivaloglou, Claudia Hauff, Geert-Jan Houben (2018), From Learners to Earners: Enabling MOOC Learners to Apply Their Skills and Earn Money in an Online Market Place, In IEEE Transactions on Learning Technologies Volume 11 p.264-274.

Pavel Kucherbaev, Alessandro Bozzon, Geert-Jan Houben (2018), Human Aided Bots, In IEEE Internet Computing Volume 22 p.36-43.

Guanliang Chen, Jie Yang, Claudia Hauff, Geert-Jan Houben (2018), LearningQ: A Large-scale Dataset for Educational Question Generation, In Proceedings of the Twelfth International AAAI Conference on Web and Social Media p.481-490, Association for the Advancement of Artificial Intelligence (AAAI).

Dan Davis, Vasileios Triglianos, Claudia Hauff, Geert-Jan Houben (2018), SRLx: A Personalized Learner Interface for MOOCs, V. Pammer-Schindler , M. Pérez-Sanagustín , H. Drachsler, R. Elferink, M. Scheffel (Eds.), In Lifelong Technology-Enhanced Learning p.122-135, Springer.

Daniel Davis, René F. Kizilcec, Claudia Hauff, Geert-Jan Houben (2018), Scaling Effective Learning Strategies: Retrieval Practice and Long-Term Knowledge Retention in MOOCs, In Journal of Learning Analytics Volume 5 p.21-41.

Sepideh Mesbah, Alessandro Bozzon, Christoph Lofi, Geert-Jan Houben (2018), SmartPub: A Platform for Long-Tail Entity Extraction from Scientific Publications, In Companion Proceedings of the The Web Conference 2018 p.191-194, International World Wide Web Conferences Steering Committee.

Sepideh Mesbah, Christoph Lofi, Manuel Valle Torre, Alessandro Bozzon, Geert-Jan Houben (2018), TSE-NER: An Iterative Approach for Long-Tail Entity Extraction in Scientific Publications, D. Vrandečić, K. Bontcheva, M.C. Suárez-Figueroa, V. Presutti, I. Celino, M. Sabou, L.M Kaffee, E. Simperl (Eds.), In The Semantic Web – ISWC 2018 p.127-143, Springer.

Dan Davis, René F. Kizilcec, Claudia Hauff, Geert-Jan Houben (2018), The Half-Life of MOOC Knowledge: A Randomized Trial Evaluating the Testing Effect in MOOCs, In LAK'18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge p.1-10, Association for Computing Machinery (ACM).

Daniel Davis, Daniel Seaton, Claudia Hauff, Geert-Jan Houben (2018), Toward Large-scale Learning Design: Categorizing Course Designs in Service of Supporting Learning Outcomes, In L@S 2018 p.1-10, Association for Computing Machinery (ACM).

V. Gong, J. Yang, W. Daamen, A. Bozzon, S. Hoogendoorn, G. J. Houben (2018), Using Social Media for Attendees Density Estimation in City-Scale Events, In IEEE Access Volume 6 p.36325-36340.