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Computation of Assessing the Knowledge in One Domain by using Cognitive Skills Levels
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 12 |
| Year of Publication: 2018 |
| Authors: Rania Aboalela, Javed Khan |
10.5120/ijca2018916241
|
Rania Aboalela, Javed Khan . Computation of Assessing the Knowledge in One Domain by using Cognitive Skills Levels. International Journal of Computer Applications. 180, 12 ( Jan 2018), 18-25. DOI=10.5120/ijca2018916241
Abstract
Large number of questions are required to assess the knowing of the concepts in one domain. Novel methods are presented to map between the concepts in the domain and between the concepts and the questions of the assessment based on the cognitive skill prerequisite relation. The verbs of Bloom’s Taxonomy are used to determine the cognitive skills levels. The cognitive skill levels refer to the levels such as if a learner has acquired the state at the level of understanding, or applying, or analyzing, or evaluating, or creating a concept. The state of achieving knowing or not knowing a certain concept state at certain skill level is called, concept state. Previously, three types of concept states proposed known as Verified Skills (VS), Derived Skills (DS) and Potential Skills (PS). VS and DS refers to the concept state that the concept is learned or not learned by the learner. PS refers to the concept state that the concept is ready to be learned or not ready to be learned. The experiment proved that using the cognitive relation between the concepts increases the amount of the estimated concepts, even though the number of tested concepts may be minimized and eliminated under the conditions laid down by the target cognitive skill levels. Also, the researchers compute the probability of knowing the concepts of two evaluated learners by using Bayes’ Theorem.
References
- Falmagne, J.-C., Cosyn, E., Doignon, J.-P. and Thiery, N., 2003, The assessment of knowledge in theory and in practice. In Proceedings of the International Conference on Integration of Knowledge Intensive Multi-Agent Systems, pp. 609-615.
- Bloom, B.S., Engelhart, M.D, Furst, E.J., Hill, W.H., and Krathwohl, D.R. (Eds.). 1956. Taxonomy of Educational Objectives. The Classification of Educational Goals, Handbook I: Cognitive Domain. David McKay Company, New York.
- Anderson, L.W., Krathwohl, D.R., Airasian, P. W., Cruikshank , K.A., Mayer, R.E., Pintrich, P.R., et al., 2001. A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. New York, U.S.A, Longman.
- Khan, J., Hardas, M., Ma, Y., 2005. A Study of problem difficulty evaluation for Semantic Network Ontology based intelligent courseware sharing. In proceeding of IEEE/WIC/ACM the International Conference on Web Intelligence, WEB Intelligence, pp. 426-429.
- Nafa, F. and Khan, J. Conceptualize the Domain Knowledge Space in the Light of Cognitive Skills. In Proceedings of the 7th International Conference on Computer Supported Education. SCITEPRESS-Science and Technology Publications, pp. 285- 295, 2015.
- Nafa, F., Khan, J., Othman, S., and Babour, A. 2016. Discovering Bloom Taxonomic Relationships between Knowledge Units Using Semantic Graph Triangularity Mining, In proceeding of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Chengdu: IEEE, pp. 224-233.
- Nafa, F., Khan, J., Othman, S. and Babour, A. 2016. Mining Cognitive Skills Levels of Knowledge Units in Text Using Graph Tringluarity Mining. In the proceedings of Web Intelligence Workshops (WIW), International Conference (IEEE/WIC/ACM), IEEE, pp. 1-4.
- Aboalela, R. and Khan, J. 2015. Visualizing concept space of course content. In the proceeding of IEEE 7th International Conference on Engineering Education (ICEED). Japan, November 2015. pp. 609-615 doi: 10.1109/iceed.2015.7451512
- Aboalela, R. and Khan, J. 2016. Model of Learning Assessment to Measure Student Learning: Inferring of Concept State of Cognitive Skill Level in Concept Space. In proceeding of the 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI), Dubai, United Arab Emirates, pp. 189-195. doi: 10.1109/ISCMI.2016.26
- Aboalela, R. and Khan, J. 2016. Are we asking the right questions to grade our students in a knowledge-state space analysis? In proceedings of IEEE 8th International Conference on Technology for Education (T4E), Mumbai, pp. 144-147.
- Aboalela, R. A. 2017 An Assessment of Knowledge by Pedagogical Computation on Cognitive Level Mapped Concept Graphs. Doctoral Thesis. OhioLink ETD. kent1496941747313396. Kent State University.
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