Treffer: Teacher Re-Novicing on the Path to Integrating Computational Thinking in High School Physics Instruction

Title:
Teacher Re-Novicing on the Path to Integrating Computational Thinking in High School Physics Instruction
Language:
English
Authors:
W. Brian Lane (ORCID 0000-0002-0157-8184), Terrie M. Galanti (ORCID 0000-0003-2948-7898), X. L. Rozas (ORCID 0000-0003-0646-7085)
Source:
Journal for STEM Education Research. 2023 6(2):302-325.
Availability:
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed:
Y
Page Count:
24
Publication Date:
2023
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
High Schools
Secondary Education
DOI:
10.1007/s41979-023-00100-1
ISSN:
2520-8705
2520-8713
Entry Date:
2024
Accession Number:
EJ1420824
Database:
ERIC

Weitere Informationen

Integrating computational thinking (CT) into STEM disciplines requires secondary teachers to develop their pedagogical content knowledge of computing and content integration. Experienced teachers who choose to integrate CT in their secondary STEM courses may struggle in the same ways as novice teachers as they learn about programming and its potential use within their content areas. This study describes these potential struggles as teacher re-novicing in the context of high school physics. The research team facilitated a week-long computing integration workshop for physics teachers (n = 24) from three countries. The teachers engaged with computational learning activities in Jupyter Notebooks with the goal of developing their capacity to integrate Python in physics applications. Qualitative analysis of teacher surveys supported our theorization of a pathway of CT integration knowledge development. We describe these professional learning needs in four illustrative cases, building a grounded theory for teacher re-novicing as a pathway beginning with computing knowledge, moving through physics applications of computing, and arriving at pedagogical knowledge for physics-CT integration.

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