Abstract
The main goal of this research is to design item generation algorithms which can be integrated into the Online Test System developed earlier by the authors. The algorithms will be capable of generating items belong to higher cognitive level based on Bloom Taxonomy from a knowledge map created by a teacher (or co-created by a group of teachers). With the help of such integrated system teachers can reduce the time and effort they spend to prepare tests for assessing students’ mastery and understanding level of what they taught in class. This paper discusses the proposed algorithms in details and explains the experiment design in the end.
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Aggrey, E., Chang, M., Kuo, R., Zhang, X. (2018). Higher Cognitive Items Generation Algorithms. In: Chang, M., et al. Challenges and Solutions in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-8743-1_8
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DOI: https://doi.org/10.1007/978-981-10-8743-1_8
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