Revealing PBL Competencies Applied to Computer Teaching: An AI-Based Solution for Constructive Alignment Between Educational Goals and Student Feedback

• Davi José Mendes Maia Federal University of Pernambuco
• Simone Cristiane dos Santos Federal University of Pernambuco https://orcid.org/0000-0002-2572-7383

DOI: https://doi.org/10.5753/educomp_estendido.2022.19416

Abstract

There is a growing demand for teaching models that go beyond knowledge-based teaching. In this sense, competency-based education emerges and that involves the development of these in students from the perspective of knowledge, skills and attitudes. Considering this model, it is necessary to monitor such attributes in order to verify their reach by the students. In general, this follow-up is based on student feedback and requires a lot of effort. In this context, processing feedback involves difficulties related to effort, workload, and time spent on making improvements. Thus, this research proposes the creation and application of a solution for processing subjective feedbacks based on AI, which will help the teacher to carry out the monitoring of competences. The Design Science Research method was adopted to build the solution, while its evaluation will be carried out through a focus group and interviews with experts.

Keywords: Computing Education, PBL, Constructive Alignment, Feedback Analysis, Artificial Intelligence

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