Journal of Educational Innovations

Journal of Educational Innovations

A Synthesis Study of Competencies and Components of Students' Technological Education for the Purposeful Integration of Artificial Intelligence in the Learning Process

Articles in Press

Document Type : Original Article

Author
Rahim Moradi
Associate Professor, Department of Educational Sciences, Faculty of Humanities, Arak University, Arak, Iran
10.22034/jei.2026.513775.3176
Abstract
The present study aimed to identify and explain the key competencies and components of students' technological education for the purposeful integration of artificial intelligence in the learning process. This research was conducted with a qualitative approach and using the synthesis research method. To collect data, reputable international databases, including Scopus, ScienceDirect, ProQuest, ERIC, Springer, and Google Scholar, were systematically searched using relevant keywords (competencies, technological education, artificial intelligence). In total, 156 related studies were identified in the period from 2019 to 2024. After carefully reviewing the titles and abstracts, 20 studies that best matched the research criteria were selected for final analysis. Using the thematic analysis method, 45 open codes and 5 main categories were extracted. These categories include: 1) technical competencies of artificial intelligence (including technical knowledge, artificial intelligence skills, machine learning, programming, computer vision, robotics, probabilistic reasoning, fuzzy logic, neural networks, and natural language processing), 2) cognitive competencies (including critical thinking, analysis, problem-solving, self-learning, decision-making, and reasoning), 3) ethical competencies (including awareness of security, ethical, legal issues, and limitations of artificial intelligence), 4) practical and creative competencies (including problem-solving with artificial intelligence, human-artificial intelligence interaction, and collaboration with intelligent tools), and 5) learning and adaptive competencies (including personalized learning, adaptive learning, fast learning, data-driven learning, self-assessment, and awareness of educational goals). The results of this study showed that students need to acquire technical, cognitive, ethical, practical, and adaptive learning competencies to effectively use artificial intelligence in the learning process.
Keywords
Competencies
Technological Education
Artificial Intelligence
Education
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Journal of Educational Innovations

Articles in Press, Accepted Manuscript
Available Online from 20 June 2026

  • Receive Date 24 March 2025
  • Revise Date 03 July 2025
  • Accept Date 20 June 2026