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Results: 75
Number of items: 75
  • Bredeweg, B., Liem, J., & Nicolaou, C. (2016). Assessing learner-constructed conceptual models and simulations of dynamic systems. In K. Verbert, M. Sharples, & T. Klobučar (Eds.), Adaptive and Adaptable Learning: 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13–16, 2016 : proceedings (pp. 357-362). (Lecture Notes in Computer Science; Vol. 9891). Springer. https://doi.org/10.1007/978-3-319-45153-4_27
  • Bredeweg, B., Nicolaou, C. T., Liem, J., & Constantinou, C. P. (2014). Towards Assessing and Grading Learner Created Conceptual Models. In S. Trausan-Matu, C. E. Boyer, M. Crosby, & K. Panourgia (Eds.), Intelligent Tutoring Systems: 12th International Conference, ITS 2014, Honolulu, HI, USA, June 5-9, 2014 : proceedings (pp. 442-447). (Lecture Notes in Computer Science ; Vol. 8474). Springer. https://doi.org/10.1007/978-3-319-07221-0_55
  • Wißner, M., Linnebank, F., Liem, J., Bredeweg, B., & André, E. (2013). Question Generation and Adaptation Using a Bayesian Network of the Learner’s Achievements. In H. C. Lane, K. Yacef, J. Mostow, & P. Pavlik (Eds.), Artificial Intelligence in Education: 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013 : proceedings (pp. 729-732). (Lecture Notes in Computer Science ; Vol. 7926), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-39112-5_99
  • Bredeweg, B., Liem, J., Beek, W., Linnebank, F., Gracia, J., Lozano, E., Wißner, M., Bühling, R., Salles, P., Noble, R., Zitek, A., Borisova, P., & Mioduser, D. (2013). DynaLearn - An Intelligent Learning Environment for Learning Conceptual Knowledge. The AI Magazine, 34(4), 46-65. http://www.aaai.org/ojs/index.php/aimagazine/article/view/2489
  • Open Access
    Liem, J. (2013). Supporting conceptual modelling of dynamic systems: A knowledge engineering perspective on qualitative reasoning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Wißner, M., Beek, W., Lozano, E., Mehlmann, G., Linnebank, F., Liem, J., Häring, M., Bühling, R., Gracia, J., Bredeweg, B., & André, E. (2012). Increasing Learners’ Motivation through Pedagogical Agents: The Cast of Virtual Characters in the DynaLearn ILE. In M. Beer, C. Brom, F. Dignum, & V.-W. Soo (Eds.), Agents for Educational Games and Simulations: International Workshop, AEGS 2011, Taipei, Taiwan, May 2 2011 : revised papers (pp. 151-165). (Lecture Notes in Computer Science; Vol. 7471), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-32326-3_10
  • Bredeweg, B., Beek, W., Borisova, P., Corcho, O., Gracia del Río, J., Leiba, M., Liem, J., Mioduser, D., Noble, R., Salles, P., Wißner, M., & Zitek, A. (2012). Final project report: DynaLearn. University of Amsterdam.
  • Wißner, M., Beek, W., Lozano, E., Mehlmann, G., Linnebank, F., Liem, J., Häring, M., Bühling, R., Gracia, J., Bredeweg, B., & André, E. (2011). Character roles and interaction in the DynaLearn Intelligent Learning Environment. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Artificial Intelligence in Education: 15th International Conference, AIED 2011, Auckland, New Zealand, June 28-July 1, 2011 (pp. 585-587). (Lecture Notes in Computer Science; Vol. 6738), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-21869-9_109
  • Beek, W., Liem, J., Linnebank, F., Bühling, R., Wißner, M., Lozano, E., Gracia del Río, J., & Bredeweg, B. (2011). Knowledgeable Feedback via a Cast of Virtual Characters with Different Competences. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Artificial Intelligence in Education: 15th international conference, AIED 2011, Auckland, New Zealand, June 28-July 1, 2011 (pp. 620). (Lecture Notes in Computer Science; Vol. 6738), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-21869-9_121
  • Lozano, E., Gracia, J., Collarana, D., Corcho, O., Gómez-Pérez, A., Villazón, B., Latour, S., & Liem, J. (2011). Model-based and memory-based collaborative filtering algorithms for complex knowledge models. (DynaLearn deliverable; No. D4.3). University of Amsterdam, Human Computer Studies Laboratory. http://hcs.science.uva.nl/projects/DynaLearn/DeliverablesPublic/D4.3.pdf
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