ERIC Number: EJ1441496
Record Type: Journal
Publication Date: 2024-Sep
Pages: 35
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1033-2170
EISSN: EISSN-2211-050X
How Current Perspectives on Algorithmic Thinking Can Be Applied to Students' Engagement in Algorithmatizing Tasks
Mathematics Education Research Journal, v36 n3 p609-643 2024
The aim of this study is to examine how algorithmatizing tasks engage mathematics students in algorithmic thinking. Structured, task-based interviews were conducted with eight Year 12 students as they completed a sequence of algorithmatizing tasks involving maximum flow problems. A deductive-inductive analytical process was used to first classify students' mathematical behavior according to four cognitive skills of algorithmic thinking (decomposition, abstraction, algorithmization, and debugging) and then develop sets of subskills to describe how the students engaged these cognitive skills. The findings show how students used algorithmic thinking to solve maximum flow problems and then made progress towards creating a general algorithm before being introduced to the maximum-flow minimum-cut approach, which guarantees a solution.
Descriptors: Secondary School Mathematics, Secondary School Students, Grade 12, Mathematics Instruction, Algorithms, Learner Engagement, Abstract Reasoning, Thinking Skills, Mathematics Achievement
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Publication Type: Journal Articles; Reports - Research
Education Level: Secondary Education; Grade 12; High Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A