Student learning of computational thinking in a robotics curriculum: Transferrable skills and relevant factors

Guanhua Chen, Ji Shen

Research output: Contribution to journalConference article


This poster presents findings from the implementation of a robotics curriculum emphasizing applying computational thinking (CT) to solve both programming and everyday reasoning problems. Utilizing an online CT instrument as the pre-and-post measure, students’ performance, improvement, and process data were analyzed. Results show that the curriculum helped students improve CT in both scenarios. While student self-determination was positively correlated to their score gains, other factors (gender, class, familiarity with problem settings) were not.

Original languageEnglish (US)
Pages (from-to)1439-1440
Number of pages2
JournalProceedings of International Conference of the Learning Sciences, ICLS
Issue number2018-June
StatePublished - Jan 1 2018
Event13th International Conference of the Learning Sciences, ICLS 2018: Rethinking Learning in the Digital Age: Making the Learning Sciences Count - London, United Kingdom
Duration: Jun 23 2018Jun 27 2018


ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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