Adapting EdTech for Developing Educational Contexts: A Comparative Usability Study of ALPA Kids and ChatGPT

The COVID-19 pandemic significantly accelerated the development and implementation of educational technology (EdTech) applications across learning institutions. However, postpandemic, many schools, particularly in developing countries, returned to traditional teaching methods, deepening the digital divide between regions. In contrast, developed countries continued to advance EdTech integration. At the same time, the emergence of Artificial Intelligence (AI) in education has introduced new learning opportunities while raising important concerns about trust, ethics, and appropriate use. A key challenge remains: how to assess the usability and adaptability of these digital tools across diverse educational contexts. In response, the authors developed the Usability Platform Test (UPT) within the Horizon Europe EdTech Talents project, offering a structured approach to collecting meaningful feedback from learners. This study applied the UPT in Serbia through two case studies: (1) the use of the ALPA Kids app with primary students during a period of school closure, and (2) the use of ChatGPT among gifted secondary students. Results showed higher usability scores for ALPA Kids in content and design, while ChatGPT excelled in communication but raised data privacy concerns. The findings confirm UPT’s relevance and provide user-driven guidance for adapting EdTech tools to under-resourced, diverse learning environments.

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Publication Details

Journal
International Journal of Industrial Engineering and Management
Published
2026-11-05
DOI
https://doi.org/10.24867/ijiem-425
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
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article

Adapting EdTech for Developing Educational Contexts: A Comparative Usability Study of ALPA Kids and ChatGPT

Janika Leoste, Miroslav Stefanović, Slavko Rakić, Erica Lilles
International Journal of Industrial Engineering and Management
Artificial Intelligence in Education
article

Adapting EdTech for Developing Educational Contexts: A Comparative Usability Study of ALPA Kids and ChatGPT

Janika Leoste, Miroslav Stefanović, Slavko Rakić, Erica Lilles
article en

Abstract

The COVID-19 pandemic significantly accelerated the development and implementation of educational technology (EdTech) applications across learning institutions. However, postpandemic, many schools, particularly in developing countries, returned to traditional teaching methods, deepening the digital divide between regions. In contrast, developed countries continued to advance EdTech integration. At the same time, the emergence of Artificial Intelligence (AI) in education has introduced new learning opportunities while raising important concerns about trust, ethics, and appropriate use. A key challenge remains: how to assess the usability and adaptability of these digital tools across diverse educational contexts. In response, the authors developed the Usability Platform Test (UPT) within the Horizon Europe EdTech Talents project, offering a structured approach to collecting meaningful feedback from learners. This study applied the UPT in Serbia through two case studies: (1) the use of the ALPA Kids app with primary students during a period of school closure, and (2) the use of ChatGPT among gifted secondary students. Results showed higher usability scores for ALPA Kids in content and design, while ChatGPT excelled in communication but raised data privacy concerns. The findings confirm UPT’s relevance and provide user-driven guidance for adapting EdTech tools to under-resourced, diverse learning environments.

International Journal of Industrial Engineering and ManagementVol. 17(4)
Tallinn University of Technology (EE), Institute of the Estonian Language (EE), University of Novi Sad (RS)
Openalex Percentile: Top 9%
Artificial Intelligence in Education
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Adapting EdTech for Developing Educational Contexts: A Comparative Usability Study of ALPA Kids and ChatGPT — Janika Leoste, Miroslav Stefanović, et al. · International Journal of Industrial Engineering and Management (2026) | TGRS Research Map | TGRS