CaMeLOT: An Educational Framework For Conceptual Data Modelling
Autor: | Monique Snoeck, Daria Bogdanova |
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Rok vydání: | 2019 |
Předmět: |
Knowledge management
Computer science business.industry media_common.quotation_subject 05 social sciences 050301 education 020207 software engineering Context (language use) 02 engineering and technology Field (computer science) Computer Science Applications Data modeling Taxonomy (general) 0202 electrical engineering electronic engineering information engineering Bloom's taxonomy Quality (business) Set (psychology) Adaptation (computer science) business 0503 education Software Information Systems media_common |
Popis: | Context Teaching conceptual data modelling (CDM) remains a challenging task for educators. Despite the fact that CDM is an integral part of software engineering curricula, there is no generally accepted educational framework for the subject. Moreover, the existing educational literature shows significant gaps when it comes to pursued learning outcomes and their assessment. Objective In this paper, we propose an educational framework for conceptual data modelling, based on the revised Bloom's taxonomy of educational objectives, and provide necessary examples of systemized learning outcomes. Method We utilized the revised Bloom's taxonomy to develop an adapted framework specifically for learning outcomes related to CDM. We validated the framework by mapping learning outcomes distilled from the existing course material to the framework, by presenting the framework for feedback to the experts in the field and further elaborating and refining it based on the feedback and experiences from these validation activities. Results CaMeLOT is an adaptation of the Bloom's taxonomy specifically for learning outcomes related to CDM. We identified different content areas and indicated the necessary scaffolding. Based on the framework, we worked out 17 example tables of learning outcomes related to content areas at different levels of scaffolding, exemplifying the different knowledge and cognitive levels. We clarify the differences in learning outcomes related to different knowledge and cognitive levels and thereby provide a domain specific clarification of the classification guidelines. Conclusion CaMeLOT gives educators an opportunity to enhance the CDM part of software engineering curricula with a systemized set of learning outcomes to be pursued, and open the path for creating more complete, useful and effective assessment packages. The adoption of our educational framework may reduce the time spent on designing educational material and, at the same time, improve its quality. ispartof: Information and Software Technology vol:110 pages:92-107 status: Published online |
Databáze: | OpenAIRE |
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