Flexible Assessment in Digital Teaching-Learning Processes: Case Studies via Computational Thinking | Zendy

Amanda Cardozo | Zendy; Catherine Gayer | Zendy; Simone André da Costa Cavalheiro | Zendy; Luciana Foss | Zendy; André Du Bois | Zendy; Renata Reiser | Zendy

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Flexible Assessment in Digital Teaching-Learning Processes: Case Studies via Computational Thinking

Author(s) -

Amanda Cardozo,

Catherine Gayer,

Simone André da Costa Cavalheiro,

Luciana Foss,

André Du Bois,

Renata Reiser

Publication year - 2019

Publication title -

anais do xxx simpósio brasileiro de informática na educação (sbie 2019)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5753/cbie.sbie.2019.429

Subject(s) - abstraction , computational thinking , computer science , generalization , fuzzy logic , decomposition , artificial intelligence , digital learning , machine learning , multimedia , mathematics , mathematical analysis , ecology , philosophy , epistemology , biology

This proposal presents three applications: (i) the F-ATL methodology expressing the uncertainty inherent in assessment of teaching-learning (ATL) processes; (ii) two case studies validating the F-ATL methodology via activities of Computational Thinking (CT) applying fuzzy logic and the interval-valued fuzzy logic; (iii) the impact analysis related to the validation of both case studies. This proposal also focuses on modelling uncertainty in the assessment of digital educational resources and technologies in ATL processes, regarding the development of relevant thinking skills via CT. The case studies classify the students’ marks in elementary school, evaluating their performance and considering CT skills as algorithm, generalization, abstraction, decomposition and evaluation.

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