AI in Education: Shaping the Future of Teaching and Learning
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This study examines the impactful incorporation of Artificial Intelligence (AI) in higher education, emphasizing its ability to improve teaching methods, simplify administration, and facilitate individualized learning. By analyzing literature and assessing case studies, this study demonstrates how AI promotes creativity, enhances critical thinking, and provides personalized learning experiences. Moreover, AI streamlines repetitive tasks like scheduling and communication, allowing educators to concentrate on impactful student interaction and instructional creativity. Nonetheless, the research also highlights significant challenges, including ethical worries regarding data privacy and algorithmic bias, issues of equity such as the digital divide, and the dangers of reduced human interaction. Tackling these challenges necessitates careful design and teamwork to guarantee that the incorporation of AI is in harmony with educational principles. The results indicate that, if applied thoughtfully, AI has the potential to transform higher education into a more adaptive, inclusive, and effective system, aligning technological advancements with the fundamental goal of promoting fair and significant learning opportunities.
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These syntheses flag data-privacy and algorithmic-bias risks, digital inequities/infrastructure gaps, and the possibility of diminished human interaction, underscoring the need for careful design, educator training, and cross-stakeholder collaboration so that implementations remain aligned with educational values.
“At the same time, these syntheses flag data-privacy and algorithmic-bias risks, digital inequities/infrastructure gaps, and the possibility of diminished human interaction, underscoring the need for careful design, educator training, and cross-stakeholder collaboration so that implementations remain aligned with educational values [47].”
From Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration (2025) · cites this paper as [47]
Recent systematic reviews converge on a balanced picture: AI not only augments teaching methods and individualizes learning (adaptive pathways, timely feedback), but also streamlines administrative work and cultivates creativity and critical thinking when embedded in thoughtful pedagogy.
“Recent systematic reviews converge on a balanced picture: AI not only augments teaching methods and individualizes learning (adaptive pathways, timely feedback), but also streamlines administrative work (e.g., scheduling, communications) and cultivates creativity and critical thinking when embedded in thoughtful pedagogy [47].”
From Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration (2025) · cites this paper as [47]
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- Authors
- Takona, J.
- Affiliations
- Coppin State University (US)
- Corresponding author
- Takona, James
- ORCID
- Takona, James
- Venue
- International Journal of Current Educational Studies
- Publisher
- ISTES Organization
- Published
- 2024-12-26
- Volume
- 3
- Issue
- 2
- Pages
- 1-25
- ISSN
- 2822-4914 (ISSN-L)
- OpenAlex
- W4412019654
- Cited by
- 24
- References
- 44
- Citations by year
- 2026: 18 · 2025: 6
- FWCI
- 9.05
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- International Journal of Current Educational Studies (publishedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
- Keywords
- artificial intelligence in education, higher education, personalized learning, administrative automation, data privacy, algorithmic bias, digital divide, educational equity, pedagogical interaction, critical thinking, creativity
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