Mind the Gap: The Illusion of Skill Acquisition in Computational Thinking

Yeting Bao, Hadi Hosseini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

With the advent of online educational platforms and the advances in pedagogical technologies, self-directed learning has emerged as one of the most popular modes of learning. Distance education - -elevated by the COVID-19 pandemic - -involves methods of instruction through a variety of remote activities which often rely on educational videos for mastery. In the absence of direct student engagement, the asynchronous nature of remote activities may deteriorate the quality of education for learners. Students often have an illusion of skill acquisition after watching videos, which results in overestimation of abilities and skills. We focus on the efficacy of skill acquisition through interactive technologies and assess their impact on computational thinking in comparison with delivery through other traditional media (e.g. videos and texts). In particular, we investigate the relationship between actual learning, perception of learning, and learners' confidence in adult learners. Our results reveal intriguing observations about the role of interactivity and visualization and their implications on the pedagogical design for self-directed learning modules.

Original languageEnglish (US)
Title of host publicationSIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education
PublisherAssociation for Computing Machinery, Inc
Pages778-784
Number of pages7
ISBN (Electronic)9781450394314
DOIs
StatePublished - Mar 2 2023
Event54th ACM Technical Symposium on Computer Science Education, SIGCSE 2023 - Toronto, Canada
Duration: Mar 15 2023Mar 18 2023

Publication series

NameSIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education
Volume1

Conference

Conference54th ACM Technical Symposium on Computer Science Education, SIGCSE 2023
Country/TerritoryCanada
CityToronto
Period3/15/233/18/23

All Science Journal Classification (ASJC) codes

  • Education
  • General Computer Science

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