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Creators/Authors contains: "Balasubramanian, Ramprasad"

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  1. ; ; ; ; ; (, International Journal of STEM Education)
    Abstract 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 landscape of what has been done in terms of how PDs have been designed, how CT has been conceptualized, how learning 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 learning and development in K-12 education. 
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  2. ; ; ; ; (, Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023)
    Blikstein, P.; Van Aalst, J.; Kizito, R.; & Brennan K. (Ed.)
    The study focuses on understanding the discourse, interaction, and problem-solving relating to pedagogical content knowledge (PCK) demonstrated by teachers in one professional training workshop on Computational Thinking (CT) and its implementations in classrooms. 
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    Accepted Manuscript Full Text Available
  3. ; ; ; ; ; (, 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. 
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    Accepted Manuscript Full Text Available