Integrating technology and artificial intelligence in teaching business students

Abu Bakar, Dalila and Abdul Karim, Nur Auni Afifah and Nor Albashri, Nor Zubaidah and Mohsin, Noor Insyirah (2026) Integrating technology and artificial intelligence in teaching business students. In: Beyond lectures: insights from business disciplines (reflections, transformations, and the human side of teaching). 2 ed. Universiti Teknologi MARA, Johor, Universiti Teknologi MARA, Cawangan Johor, Kampus Segamat, pp. 43-46. ISBN 9786297647098

Abstract

This article examines the transition in higher education from traditional lecture-based methods to interactive, technology-supported pedagogical approaches. In response to the digital transformation of industry, teaching strategies in disciplines such as business analytics and financial modeling are increasingly integrating statistical software, AI-based systems, and advanced analytics platforms. This integration shifts the student’s role from a passive recipient to an active participant engaged in data exploration, model development, and problem-solving. The study emphasizes that for public universities, adopting these innovative methods is essential to equip students with the technological competencies required by the Fourth Industrial Revolution (IR4.0) while maintaining academic rigor and critical thinking. The findings suggest that the synergy between technology and pedagogy is critical for aligning academic outcomes with contemporary industry demands.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Abu Bakar, Dalila
UNSPECIFIED
Abdul Karim, Nur Auni Afifah
UNSPECIFIED
Nor Albashri, Nor Zubaidah
UNSPECIFIED
Mohsin, Noor Insyirah
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Educational technology
T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Johor > Segamat Campus > Faculty of Business and Management
Page Range: pp. 43-46
Keywords: Business analytics, Financial modeling, IR4.0, Pedagogical innovation, Educational technology, Active learning, Higher education
Date: 2026
URI: https://ir.uitm.edu.my/id/eprint/135620
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