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Rania Dissertation 18 Aug 2017 .pdf (14.28 MB)

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An Assessment of Knowledge by Pedagogical Computation on Cognitive Level mapped Concept Graphs

Aboalela, Rania Anwar
http://rave.ohiolink.edu/etdc/view?acc_num=kent1496941747313396

Abstract Details

2017, PHD, Kent State University, College of Arts and Sciences / Department of Computer Science.
This research presents a novel learning assessment model to measure the student learning in terms of learning cognitive skill levels and the current knowledge state towards achieving the level. Knowledge state refers to if a student has already learned, or ready to learn, or not ready to learn a certain concept. The cognitive skill levels refers to levels such as if a student has acquired the state at the level of understanding, or applying, or analyzing, etc. a particular concept. The cognitive skill levels are based on Bloom’s taxonomy (Anderson, et al., 2001). The knowledge states are defined based on the Knowledge Assessment theory proposed by (Falmagne, Cosyn, Doignon, & Thiery, 2003). Our model is comprised of four constructions. First we propose a semantic/ ontological scheme called Cognitive Level Mapped Concept Graphs (CLMCG), which maps the concepts appearing in a knowledge area and their pedagogical and ontological relations as understood by the domain experts. To capture the organization of the knowledge domain, we use formal syllabus and textbooks written by the experts. The concepts are then mapped in three relational dimensions: the syllabus dimension, the ontology dimension and the cognitive skill dimension needed to perform the analysis. Currently, we extract the relationships along the first two dimensions based on the organization of the concepts as they appear in leading text book(s) and the third dimension following the classifications given by Bloom (Bloom, Engelhart, Furst, Hill, & Krathwohl, 1956). We then propose a concept based testing and evaluation scheme for testing students. We then show methods of analysis scheme based on graph traversal and logical inference that can provide the assessment of the student’s knowledge in terms to a modified Falmagne state and modified Bloom target skill levels. Finally, we also propose a new set of quantitative measures and scales that we believe can provide much insight as well as objective assessment compared to a current numerical assessment system.
Javed Khan (Advisor)
Austin Melton (Committee Member)
Arvind Bansal (Committee Member)
Omar De LA Cruz Cabrera (Committee Member)
246 p.
Computer Science
Knowledge Assessment, Bloom Taxonomy, Cognitive Skills Levels, Bayes Theorem, Concept Space, Concept State

Recommended Citations

Citations

  • Aboalela, R. A. (2017). An Assessment of Knowledge by Pedagogical Computation on Cognitive Level mapped Concept Graphs [Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1496941747313396

    APA Style (7th edition)

  • Aboalela, Rania. An Assessment of Knowledge by Pedagogical Computation on Cognitive Level mapped Concept Graphs . 2017. Kent State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1496941747313396.

    MLA Style (8th edition)

  • Aboalela, Rania. "An Assessment of Knowledge by Pedagogical Computation on Cognitive Level mapped Concept Graphs ." Doctoral dissertation, Kent State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1496941747313396

    Chicago Manual of Style (17th edition)

kent1496941747313396
685
© 2017, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.