52nd Annual Conference of the Southern African Computer Lecturers' Association, SACLA 2023, Gauteng, South Africa, July 19–21, 2023, Revised Selected Papers Van Rensburg, Henri Emil. editor. edt http://id.loc.gov/vocabulary/relators/edt Snyman, Dirk Petrus. editor. edt http://id.loc.gov/vocabulary/relators/edt Drevin, Lynette. editor. edt http://id.loc.gov/vocabulary/relators/edt Drevin, Günther Richard. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access X, 181 p. 27 illus., 19 illus. in color. online resource. This book constitutes the refereed proceedings of the 52nd Annual Conference of the Southern African Computer Lecturers' Association on ICT Education, SACLA 2023, held in Gauteng, South Africa, during July 19–21, 2023. The 12 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: student centered teaching and learning; AI and future movements; programming; and beyond the classroom. Student centered teaching and learning -- A framework for creating virtual escape rooms to teach computational thinking -- Value of explicit instruction in teaching computer programming to post-graduate students: The Kirkpatrick Training Evaluation Model -- Reducing Contention in an Undergraduate Capstone Project Allocation System -- Factors determining the success of online learning videos for programming -- Exploring flipped learning in an introductory programming module: a literature review -- Transitioning an Introductory Programming course into a Blended Learning format -- AI and future movements; Programming -- Demystifying the Impact of ChatGPT on Teaching and Learning -- Using ChatGPT to Encourage Critical AI Literacy Skills and for Assessment in Higher Education -- A Consolidated Catalogue of Question Types for Programming Courses -- Beyond the classroom -- An Alumni Satisfaction Model for Computing Departments -- Motivations and Experiences of Recognition of Prior Learning -- Candidates in Information Systems Programmes -- First Year Computing Students’ Career Choice Influencers. edited by Henri Emil Van Rensburg, Dirk Petrus Snyman, Lynette Drevin, Günther Richard Drevin. Education Data processing Computer engineering Computer networks  Artificial intelligence Social sciences Data processing Computers and Education Computer Engineering and Networks Artificial Intelligence Computer Application in Social and Behavioral Sciences LB1028.43-1028.75 9783031485367 https://doi.org/10.1007/978-3-031-48536-7 https://doi.org/10.1007/978-3-031-48536-7 240102 20251030110909.0 978-3-031-48536-7