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Title:
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USING GRAPH-BASED HEURISTICS TO ANALYZE A SYSTEMATIC LITERATURE REVIEW AND VALIDATE AN EXPERT-BASED TAXONOMY |
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Author(s):
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Nadine Schlomske-Bodenstein, Bernhard Standl and Pablo Pirnay-Dummer |
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ISBN:
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978-989-8704-52-8 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Systematic Literature Review, Taxonomy, Validation, Technology-Enhanced Learning and Instruction, Mental Models |
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Type:
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Full |
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First Page:
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223 |
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Last Page:
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232 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The study presented in this paper uses heuristics from computer linguistics and graph theory to analyze a systematic literature review on educational technology. A literature review was conducted to validate an expert-based taxonomy which was developed to ontologize delivered teaching and learning for easy reuse. The sample includes N = 121 publications. The findings indicate that the yielded key words that were generated through T-MITOCAR Artemis contained key features that were rated as being relevant to the experts and caused the expert-based taxonomy to be changed and restructured. The results of this study provide directions on how time-consuming elements of systematic literature reviews could partially be automated. |
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