Despite the recent proliferation of research concerning integrating computational thinking (CT) into K-5th grade curriculum, there is little literature concerning how to evaluate the quality of CT integrated curricula, especially curricula integrating CT into language arts and social studies content areas. In this paper, we present a theoretically derived rubric for the evaluation of CT integrated curricula for grades K-5 across the curriculum (math, science, language arts, social studies). Our rubric is divided into two sections. The first section provides guidelines for identifying the integration type (disciplinary, multidisciplinary, interdisciplinary, or transdisciplinary). The second section presents six categories of evaluation that further subsume nine sub-categories. The principal categories of evaluation include the following: conceptual coherence, role of computational technology, assessment, use of multiple representations, play, and equity. We include the play category as an aspect of developmental appropriateness. Play is an important pedagogical approach for learning in the early grades. Our work takes place in the context of the Computer Science (CS) for All initiative in the United States which emphasizes the goal of improving racial and gender diversity in CS participation. Therefore, creating integrated lessons that address equity is important. Our paper describes rubric development from the theoretical perspectives that underlie the inclusion of each type, category, and sub-category. Our evaluative rubric can guide future efforts to integrate CT/CS into the elementary curricula. Researchers can utilize our rubric to evaluate and analyze CT-integrated curricula, and educators can benefit from using this rubric as a guideline for curriculum development.
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A Typology of Models for Integrating Computational Thinking in Science (CT+S)
In order to expand opportunities to learn computer science (CS),there is a growing push for inclusion of CS concepts and practices, such as computational thinking (CT), in required subjects like science. Integrated, transdisciplinary (CS/CT+X) approaches have shown promise for broadening access to CS and CT learning opportunities, addressing potential self-selection bias associated with elective CS coursework and afterschool programs, and promotinga more expansive and authentic contextualization of CS work. Emerging research also points to pedagogical strategies that can transcend simply broadening access, by also working to confront barriers to equitable and inclusive engagement in CS. Yet, approaches to integration vary widely, and there is little consensus on whether and how different models for CS and CT integration contribute to desired outcomes. There has also been little theory development that can ground systematic examination of the affordances and tradeoffs of different models. Toward that end, we propose a typology through which to examine CT integration in science (CT+S). The purpose of delineating a typology of CT+S integration is to encourage instantiation, implementation, and inspection of different models for integration, and to promote shared understanding among learning designers, researchers, and practitioners working at the intersection of CT and science. For each model in the typology, we characterize how CT+S integration is accomplished, the ways in which CT learning supports science learning, and the affordances and tensions for equity and inclusion that may arise upon implementation in science classrooms.
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- Award ID(s):
- 1657002
- NSF-PAR ID:
- 10233641
- Date Published:
- Journal Name:
- RESPECT 2021: IEEE STCBP Conference for Research on Equity and Sustained Participation in Engineering, Computing, and Technology
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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