Treffer: Improving Engagement in Program Construction Examples for Learning Python Programming

Title:
Improving Engagement in Program Construction Examples for Learning Python Programming
Language:
English
Authors:
Hosseini, Roya (ORCID 0000-0003-0531-5530), Akhuseyinoglu, Kamil (ORCID 0000-0002-7761-9755), Brusilovsky, Peter (ORCID 0000-0002-1902-1464), Malmi, Lauri (ORCID 0000-0003-1064-796X), Pollari-Malmi, Kerttu (ORCID 0000-0003-2635-255X), Schunn, Christian (ORCID 0000-0003-3589-297X), Sirkiä, Teemu (ORCID 0000-0003-4415-6966)
Source:
International Journal of Artificial Intelligence in Education. Jun 2020 30(2):299-336.
Availability:
Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed:
Y
Page Count:
38
Publication Date:
2020
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Descriptors:
Programming, Computer Science Education, Problem Solving, Learner Engagement, Comparative Analysis, Teaching Methods, Computer Software, Introductory Courses, Programming Languages, Learning Processes, Computer Assisted Instruction
DOI:
10.1007/s40593-020-00197-0
ISSN:
1560-4292
Entry Date:
2020
Accession Number:
EJ1258542
Database:
ERIC

Weitere Informationen

This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage students. The goal of this work is to investigate the value of the "engaging" features in programming examples. We introduce PCEX, an online tool developed to present program construction examples in an engaging fashion. We also present the results of a controlled study with a between-subject design that was conducted in a large introductory Python programming class to compare PCEX with non-interactive worked examples focused on program construction. The results of our study show the positive impact of interactive program construction examples on student's engagement, problem-solving performance, and learning.

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