A Data-Driven Approach to Assess Computational Thinking Concepts Based on Learners' Artifacts

Autor/inn/en	Eloy, Adelmo; Achutti, Camila F.; Fernandez, Cassia; Lopes, Roseli de Deus
Titel	A Data-Driven Approach to Assess Computational Thinking Concepts Based on Learners' Artifacts
Quelle	In: Informatics in Education, 21 (2022) 1, S.33-54 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1648-5831
Schlagwörter	Computation; Thinking Skills; Learning Processes; Evaluation Methods; Online Courses; Computer Science Education; Programming Languages; Curriculum Design; Electronic Learning + Suchen Sie Ihr Suchwort? Denkfähigkeit; Learning process; Lernprozess; Online course; Online-Kurs; Computer science lessons; Informatikunterricht; Lehrplangestaltung
Abstract	Integrating computational thinking into K-12 Education has been a widely explored topic in recent years. Particularly, effective assessment of computational thinking can support the understanding of how learners develop computational concepts and practices. Aiming to help advance research on this topic, we propose a data-driven approach to assess computational thinking concepts, based on the automatic analysis of data from learners' computational artifacts. As a proof of concept, the approach was applied to a Massive Open Online Course (MOOC) to investigate the course's effectiveness as well as to identify points for improvement. The data analyzed consists of over 3300 projects from the course participants, using the Scratch programming language. From that sample, we found patterns in how computational thinking manifests in projects, which can be used as evidence to guide opportunities for improving course design, as well as insights to support further research on the assessment of computational thinking. (As Provided).
Anmerkungen	Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01