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Title: Bringing computational thinking into classrooms: a systematic review on supporting teachers in integrating computational thinking into K-12 classrooms
Although computational thinking (CT) is becoming increasingly prevalent in K-12 education, many teachers find it challenging to integrate it with their classroom learning. In this systematic review, we have reviewed empirical evidence on teachers’ computational-thinking-focused professional development (PD). The findings depict the land- scape of what has been done in terms of how PDs have been designed, how CT has been conceptualized, how learn- ing outcomes have been assessed, and how teachers have been supported in integrating CT into their teaching practices. We have further summarized the lessons learned from the PDs and discussed the gaps as the field moves forward. These findings shed light on supporting teachers as the first step to creating an effective model for CT learn- ing and development in K-12 education. more »« less
Liu, Zhichun; Gearty, Zarina; Richard, Eleanor; Orrill, Chandra; Kayumova, Shakhnoza; Balasubramanian, Ramprasad
(, Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022)
China, C.' Tan; Chan, C.; Kali, Y.
(Ed.)
Teachers often find it challenging to learn computational thinking (CT) and integrate it with classroom learning. In this systematic review, we focus on how professional learning experiences have supported K-12 teachers to integrate CT into their classrooms. The findings suggest some effective strategies for building professional learning experiences but highlight the need for more agreement about the nature of CT.
Wu, S.; Peel, A.; Bain, C.; Anton, G.; Horn, M.; Wilensky, U.
(, Proceedings of International Conference on Computational Thinking Education 2020)
Kong, S.C.
(Ed.)
This work aims to help high school STEM teachers integrate computational thinking (CT) into their classrooms by engaging teachers as curriculum co-designers. K-12 teachers who are not trained in computer science may not see the value of CT in STEM classrooms and how to engage their students in computational practices that reflect the practices of STEM professionals. To this end, we developed a 4-week professional development workshop for eight science and mathematics high school teachers to co-design computationally enhanced curriculum with our team of researchers. The workshop first provided an introduction to computational practices and tools for STEM education. Then, teachers engaged in co-design to enhance their science and mathematics curricula with computational practices in STEM. Data from surveys and interviews showed that teachers learned about computational thinking, computational tools, coding, and the value of collaboration after the professional development. Further, they were able to integrate multiple computational tools that engage their students in CT-STEM practices. These findings suggest that teachers can learn to use computational practices and tools through workshops, and that teachers collaborating with researchers in co-design to develop computational enhanced STEM curriculum may be a powerful way to engage students and teachers with CT in K-12 classrooms.
Yadav, A.
(, Society for Information Technology & Teacher Education International Conference)
Driven by the need for students to be prepared for a world driven by computation, a number of recent educational reforms in science and mathematics have called for computational thinking concepts to be integrated into these content areas. However, in order for computational thinking (CT) to permeate K-12 education, we need to educate teachers about what CT ideas are and how they relate to what happens in their classroom on a day-to-day basis. This paper presents a toolkit to scaffold elementary teachers’ understanding of computational thinking ideas and how to integrate them into their lesson plans.
Walton, Margaret
Walkoe; Elby, Andrew; Fofang, Janet Shufor; Weintrop, David
(, International Conference of the Learning Sciences)
Gresalfi, M. and
(Ed.)
The importance of integrating computational thinking (CT) into existing school structures, like core content domains, has emerged from efforts to improve computer science education in the U.S. In the past, computer science has often been treated as an elective or enrichment activity, which limits students’ exposure to foundational computing ideas, especially in underserved schools. However, given the ubiquity technology plays in our lives, it is imperative that all students have access to CT. Few studies have focused on how pre-service teachers (PSTs) learn about CT. Some researchers argue that CT integration into K-12 education belongs in teacher preparation programs and that teacher educators should develop courses aimed at supporting PSTs’ understanding of CT in the context of schools. This paper explores the ways in which PSTs begin to understand CT and how they work to integrate CT into their core subject areas.
Larimore, R.
(, Proceedings of the Research in Equity and Sustained Participation in Engineering (RESPECT))
null
(Ed.)
The increased push for access to computer science (CS) at the K-12 level has been argued as a way to broaden participation in computing. At the elementary level, computational thinking (CT) has been used as a framework for bringing CS ideas into the classroom and educating teachers about how they can integrate CT into their daily instruction. A number of these projects have made equity a central goal of their work by working in schools with diverse racial, linguistic, and economic diversity. However, we know little about whether and how teachers equitably engage students in CT during their classroom instruction– particularly during science and math lessons. In this paper, we present an approach to analyzing classroom instructional videos using the EQUIP tool (https://www.equip.ninja/). The purpose of this tool is to examine the quantity and quality of students’ contributions during CT-integrated math and science lessons and how it differs based on demographic markers. We highlight this approach using classroom video observation from four teachers and discuss future work in this area.
Liu, Zhichun, Gearty, Zarina, Richard, Eleanor, Orrill, Chandra Hawley, Kayumova, Shakhnoza, and Balasubramanian, Ramprasad. Bringing computational thinking into classrooms: a systematic review on supporting teachers in integrating computational thinking into K-12 classrooms. Retrieved from https://par.nsf.gov/biblio/10557837. International Journal of STEM Education 11.1 Web. doi:10.1186/s40594-024-00510-6.
Liu, Zhichun, Gearty, Zarina, Richard, Eleanor, Orrill, Chandra Hawley, Kayumova, Shakhnoza, and Balasubramanian, Ramprasad.
"Bringing computational thinking into classrooms: a systematic review on supporting teachers in integrating computational thinking into K-12 classrooms". International Journal of STEM Education 11 (1). Country unknown/Code not available: Springer Open. https://doi.org/10.1186/s40594-024-00510-6.https://par.nsf.gov/biblio/10557837.
@article{osti_10557837,
place = {Country unknown/Code not available},
title = {Bringing computational thinking into classrooms: a systematic review on supporting teachers in integrating computational thinking into K-12 classrooms},
url = {https://par.nsf.gov/biblio/10557837},
DOI = {10.1186/s40594-024-00510-6},
abstractNote = {Although computational thinking (CT) is becoming increasingly prevalent in K-12 education, many teachers find it challenging to integrate it with their classroom learning. In this systematic review, we have reviewed empirical evidence on teachers’ computational-thinking-focused professional development (PD). The findings depict the land- scape of what has been done in terms of how PDs have been designed, how CT has been conceptualized, how learn- ing outcomes have been assessed, and how teachers have been supported in integrating CT into their teaching practices. We have further summarized the lessons learned from the PDs and discussed the gaps as the field moves forward. These findings shed light on supporting teachers as the first step to creating an effective model for CT learn- ing and development in K-12 education.},
journal = {International Journal of STEM Education},
volume = {11},
number = {1},
publisher = {Springer Open},
author = {Liu, Zhichun and Gearty, Zarina and Richard, Eleanor and Orrill, Chandra Hawley and Kayumova, Shakhnoza and Balasubramanian, Ramprasad},
}
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