Document Type

Article

Publication Date

2025

DOI

10.46328/ijte.1071

Publication Title

International Journal of Technology in Education

Volume

8

Issue

2

Pages

220-245

Abstract

In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students’ evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a mix of undergraduates and graduates, were recruited and a scaled-down version of the curriculum was implemented. A parallel mixed-methods approach was employed. The results reinforced the significance of problem-centered curricula in CS context. Students rated the curricular activities highly and demonstrated strong motivation; however, graduates expressed more favorable view of pairwise collaboration and reported higher self-efficacy. Analysis of coding problem-solving behaviors suggested less competent students often relied on trial-and-error, whereas more competent students employed systematic, forward problem-solving strategies. This study contributes to the field of CS by emphasizing the importance of problem-centered learning to prepare students for real-world AI challenges.

Rights

© 2025 International Journal of Technology in Education.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.

Data Availability

Article states: "The datasets used and/or analyzed during the current study are available from the Principal Investigator or Co-Principal Investigator on reasonable request."

Original Publication Citation

Haddadian, G., Panzade, P., Takabi, D., & Kim, M. K. (2025). Problem-centered post-secondary computer science education: A study of the private artificial intelligence curriculum. International Journal of Technology in Education, 8(2), 220-245. https://doi.org/10.46328/ijte.1071

ORCID

0000-0002-8347-8274 (Panzade), 0000-0003-0447-3641 (Takabi)

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