Assessment of Data Representation in Scratch Via the SOLO Taxonomy

Anastasios Ladias, Theodoros Karvounidis, Dimitrios Ladias and Christos Douligeris
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Anastasios Ladias: Former Bureau of School Directors, Ministry of Education, Greece
Theodoros Karvounidis: Dept. of Informatics, University of Piraeus, Piraeus, Greece
Dimitrios Ladias: Department of Informatics, National and Kapodistrian University of Athens, Greece

European Journal of Engineering and Technology Research, 2023, 23-30

Abstract: The work addresses the significance of robotics in education, emphasizing its role in enhancing STEM skills through programming and sensory feedback. Scratch, a multimedia programming environment, is highlighted as a tool for robotic projects. Within Scratch, this work discusses data representation, distinguishing between visible and transparent data. The current work focuses on the visible data. Variables in Scratch are made tangible, helping users understand their function. Developers define their own data, such as values, variables, lists, and call parameters, while Scratch also provides system data. This system data can be numeric, alphanumeric, or logical, and its representation in code varies. To evaluate how data are used in Scratch by novice programmers, this work also proposes an evaluation framework using the Structure of the Observed Learning Outcome (SOLO) taxonomy. This evaluation framework can be used by the teacher as a tool either to evaluate with measurable criteria the students’ code (on issues related to the way the data indicates their presence in Scratch) or to develop their personal teaching paths, thus creating mental scaffolds that assist students to master new knowledge.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:y:2023:id:63134

DOI: 10.24018/ejeng.2023.1.CIE.3134

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