Bloom’s Taxonomy Based Question Analysis for Personalized Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69986-3_23
Reference24 articles.
1. Sangodiah, A., San, T.J., Fui, Y.T., Heng, L.E., Ayyasamy, R.K., Jalil, N.B.A.: Identifying optimal baseline variant of unsupervised term weighting in question classification based on Bloom taxonomy. Mendel 28(1), 8–22 (2022)
2. Patil, S.K., Shreyas, M.M.: A comparative study of Question Bank classification based on revised Bloom’s taxonomy using SVM and K-NN (2017)
3. Bottcher, A., Thurner, V., Zehetmeier, D.: Alignment of teaching and electronic exams and empirical classification of errors for an introductory programming class (2020)
4. Jayakodi, K., Bandara, M., Meedeniya, D.: An automatic classifier for exam questions with WordNet and Cosine similarity (2016)
5. Ifham, M., Banujan, K., Wijeratne, P.M.A.K., Kumara, B.T.G.S.: Automatic classification of questions based on Bloom’s taxonomy using artificial neural network (2022)
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