Chronometry of distractor views to discover the thinking process of students during a computer knowledge test
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology
Link
https://link.springer.com/content/pdf/10.3758/s13428-021-01743-x.pdf
Reference36 articles.
1. Bannert, M., Reimann, P., Sonnenberg, C., 2014. Process mining techniques for analysing patterns and strategies in students’ self-regulated learning. Metacognition and learning 9, 161–185.
2. Ben Khedher, A., Jraidi, I., Frasson, C., 2017. Assessing Learners’ Reasoning Using Eye Tracking and a Sequence Alignment Method, in: Huang, D.-S., Jo, K.-H., Figueroa-García, J.C. (Eds.), Intelligent Computing Theories and Application, Lecture Notes in Computer Science. Springer International Publishing, Cham, pp. 47–57. https://doi.org/10.1007/978-3-319-63312-1_5
3. Ben-Simon, A., Budescu, D.V., Nevo, B., 1997. A Comparative Study of Measures of Partial Knowledge in Multiple-Choice Tests. Applied Psychological Measurement 21, 65–88. https://doi.org/10.1177/0146621697211006
4. Berinsky, A.J., Margolis, M.F., Sances, M.W., 2014. Separating the Shirkers from the Workers? Making Sure Respondents Pay Attention on Self-Administered Surveys. American Journal of Political Science 58, 739–753. https://doi.org/10.1111/ajps.12081
5. Celiktutan, O., Demiris, Y., 2018. Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environments. Presented at the Proceedings of the European Conference on Computer Vision (ECCV) Workshops, pp. 0–0.
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