Skip to main navigation Skip to search Skip to main content

How broad is computational thinking? A longitudinal study of practices shaping learning in computer science

  • Stanford University

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

Computer science is becoming a mainstream school subject, yet we know relatively little about teaching, learning, and assessing computer science at the primary and secondary level. Few studies have followed the long-term trajectories of early computer science learners. We present a longitudinal study of a school cohort (N=48) across a three-year computer science curriculum in grades 6-8. We analyzed students' Scratch projects in terms of elaboration and computational thinking content, and modeled their association with performance on a summative open-ended assessment of computational thinking. Both metrics were associated with performance on the summative task, but engagement had a much more substantial effect. This supports the idea that early computer science experience should be designed to support students in working on personally-meaningful projects. Developing computational literacy practices may be more important for long-term growth in computational thinking than a primary emphasis on content knowledge.

Original languageEnglish
Pages (from-to)544-551
Number of pages8
JournalProceedings of International Conference of the Learning Sciences, ICLS
Volume1
Issue number2018-June
StatePublished - 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

Fingerprint

Dive into the research topics of 'How broad is computational thinking? A longitudinal study of practices shaping learning in computer science'. Together they form a unique fingerprint.

Cite this