Titlebook: Methodologies and Intelligent Systems for Technology Enhanced Learning, 10th International Conferenc; Volume 2 Zuzana Kubincová,Loreto Lanc

知識(shí)

Estimating Student’s Performance Based on Item Response Theory in a MOOC Environment with Peer Assesd Partial Credit Model, and the validity of such calculation is confirmed. While taking into consideration the limits of the synthetic sample production, this experiment provides an evidence of the possibility to predict learning performance in the large scale learning conditions of a MOOC.

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Retrieving Relevant Knowledge from Forumson. We examine the effectiveness of our method on the Stackoverflow forum thread examples. The results are relevant and show that it is possible to assign weights to the information contained in the discussion forums in order to sort them out.

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激勵(lì)

Evaluating Statistical and Informatics Competencies in Medical Students in a Blended Learning Course. Furthermore, the students reported that increased their ability to read scientific papers. As for the final outcomes, the students have small failing rates (3% and 9% for statistics and informatics, respectively) which are in-line with the self-reported knowledge on the subjects.