Eliciting Computational Thinking Processes Through Problem-Solving

• In Event: Artificial Intelligence and Computational Thinking

Abstract

Integrating computational thinking (CT) into STEM classes presents challenges, including the need to train teachers in CT. Problem-based pedagogies in which teachers have valuable experience offer a viable way to support that integration. Thus, it is important know whether problems-solving reliably elicits CT processes in an appropriately designed material context. We analyzed young learner’s talk and actions in terms of problem-solving steps and CT processes; and find that generic problem-solving processes provide broad guidance to complete the tasks with the learners readily applying CT processes. As such, problem-solving was shown to be an effective scaffold to learn CT, although students required additional structuring, including from supplementary material.

Authors

• Michael Tscholl, Northern Illinois University
  Presenting Author

• Thomas J. Smith, Northern Illinois University
  Non-Presenting Author

• Ying Xie, Northern Illinois University
  Non-Presenting Author

• Wei-Chen Hung, Northern Illinois University
  Non-Presenting Author

• Angela Cheng, Northern Illinois University
  Non-Presenting Author

• Aniqa Tahsin
  Non-Presenting Author

• Edafe Iduh, Flex
  Non-Presenting Author