The Y-Model - Formalization of Computer Science Tasks in the Context of Adaptive Learning Systems
2023 IEEE 2ND GERMAN EDUCATION CONFERENCE, GECON(2023)
摘要
Tasks, understood as educational instructions to transform an initial state to a targeted state in the learner model, are central elements in (computer science) education, irrespective of the mode of delivery - online or classic face-to-face teaching. They appear in different roles; as learning objects that help acquire competencies, as assessment instruments for measuring learning success, or for practicing specific skills. However, as with any educational technology, proper handling and well-planned selection are crucial for successful teaching. Correspondingly, the requirements that tasks have to fulfill are wide-ranging: they should promote specific learning outcomes, be appropriate to address desired cognitive dimensions, and be tailored to the student to keep motivation and learning success high. To enable an on-demand, outcome-oriented, and individualized selection of tasks in adaptive learning systems, we need to formalize tasks in all dimensions. A detailed review of different models for cognitive processes, knowledge dimensions in education, tasks, and errors leads to the Y-Model, a model for formalizing tasks (in computer science). It forms the basis for an individual, competence-oriented integration of tasks in educational systems. Finally, we present the first implementation of the model.
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