Measuring Professional Competence Using Computer-Generated Log Data

Author:

Spliethoff Luca,Abele Stephan

Publisher

Springer International Publishing

Reference57 articles.

1. Abele, S. (2018). Diagnostic problem-solving process in professional contexts: Theory and empirical investigation in the context of car mechatronics using computer-generated log-files. Vocations and Learning, 11(1), 133–159. https://doi.org/10.1007/s12186-017-9183-x

2. Abele, S., & von Davier, M. (2019). CDMs in vocational education: Assessment and usage of diagnostic problem-solving strategies in car mechatronics. In M. von Davier & Y. S. Lee (Eds.), Handbook of diagnostic classification models (pp. 461–488). Springer International Publishing. https://doi.org/10.1007/978-3-030-05584-4_22

3. Abele, S., Walker, F., & Nickolaus, R. (2014). Zeitökonomische und reliable Diagnostik beruflicher Problemlösekompetenzen bei Auszubildenden zum Kfz-Mechatroniker [Time-efficient and reliable diagnostics of professional problem-solving skills for trainees as automotive mechatronics technicians]. Zeitschrift für Pädagogische Psychologie, 28(4), 167–179. https://doi.org/10.1024/1010-0652/a000138

4. Abele, S., Ostertag, R., Peissner, M., & Schuller, A. (2017). Eine Eye-Tracking-Studie zum diagnostischen Problemlöseprozess: Bedeutung der Informationsrepräsentation für den diagnostischen Problemlöseerfolg [An eye-tracking study of the diagnostic problem-solving process: The importance of information representation for diagnostic problem-solving success]. Zeitschrift für Berufs- und Wirtschaftspädagogik, 1(113), 86–109.

5. Andrews-Todd, J., Forsyth, C., Steinberg, J., & Rupp, A. (2018). Identifying profiles of collaborative problem solvers in an online electronics environment. In Proceedings of the 11th International Conference on Educational Data Mining, USA (pp. 239–245).

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