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Journal : Jurnal Pendidikan Administrasi Perkantoran (JPAP)

Literature Review: Application of Artificial Intelligence in Higher Education Business Education to Improve Students’ Computational Thinking Rahma, Adelia; Setyawati, Amelia; Ibadil Maula, Farij; Trisnawati, Novi; Putri Mega Pratesa, Dimas
Jurnal Pendidikan Administrasi Perkantoran (JPAP) Vol 11 No 3 (2023): December
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpap.v11n3.p182-193

Abstract

The phenomenon of technology integration in higher education is growing, with Artificial Intelligence (AI) being the main highlight in supporting the teaching and learning process. This research aims to develop a strategy for implementing AI in business education in higher education to improve students' computational thinking skills. The novelty of this research lies in the innovative approach that combines AI with interactive teaching methods and data analysis for learning personalization. The urgency of this research is driven by the pressing need for a computational thinking workforce in the digital era. The method used in this research is Systematic Literature Review (SLR) by collecting relevant previous research through publish or perish then analyzing the articles and narrowing them down with keywords. The results showed that the effective use of AI can improve students' analytical and problem-solving skills. The implications of these findings include policy recommendations for universities to adopt AI as an educational tool, which is expected to better prepare students for the challenges of Industry 4.0.
ENTREPRENEURIAL RECOGNITION: A REVIEW AND BIBLIOMETRIC ANALYSIS Nurruddin Zanky, Mokhammad; Rahma, Adelia; Wahyu Ariyanto, Muhammad
Jurnal Pendidikan Administrasi Perkantoran (JPAP) Vol 13 No 1 (2025): April
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpap.v13n1.p461-472

Abstract

Phenomenon/Issue: Entrepreneurial recognition is a pivotal but underexplored concept in entrepreneurship studies, particularly in understanding how individuals identify and act upon business opportunities. The current literature lacks conceptual clarity and systematic mapping of this domain. Purpose: This study aims to conduct a comprehensive bibliometric analysis to map the landscape of entrepreneurial recognition research and identify key themes, gaps, and directions for future inquiry. Novelty: Unlike prior studies that focus narrowly on opportunity recognition, this paper provides the first systematic bibliometric overview of “entrepreneurial recognition” using co-word analysis to uncover structural relationships between key concepts and trends. Research Methods: A total of 198 publications from 2011 to 2021 were retrieved using the Publish or Perish software from Google Scholar. After applying selection criteria, 97 articles were analyzed using VOSviewer to conduct co-word mapping, and performance and science mapping approaches as suggested by Zupic & Čater (2015). Results: The findings reveal that scholarly discussions around entrepreneurial recognition remain in early development, with core themes including opportunity identification, entrepreneurial alertness, and the role of human and social capital. The visualization outputs identify five research clusters and highlight a need for further exploration into conceptual clarity, theoretical diversity, and the role of entrepreneurial alertness. Research Contributions: This study contributes to the entrepreneurship literature by providing a visual and thematic synthesis of entrepreneurial recognition research. It offers a foundation for scholars to refine theoretical frameworks, broaden methodological approaches, and investigate under-researched constructs such as entrepreneurial alertness and its impact on opportunity identification