Educational technology: exploring the convergence of technology and pedagogy through mobility, interactivity, AI, and learning tools
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AbstractEfforts at the intersection of technology and pedagogy converge upon four pivotal axes that collectively delineate the future educational landscape. These axes, namely mobility, interactivity, artificial intelligence (AI), and technological learning tools like games and augmented reality, encompass the domain of educational transformation. The fusion of these elements necessitates the development of a mobile-interactive paradigm that duly acknowledes the learner’s temporal availability and optimal convenience. Currently, technology is already integrated into the educational realm. However, its diverse manifestations across various contexts underscore the urgent need to integrate and amalgamate these facets within pedagogical frameworks that prioritize students’ erudition. This research undertakes a comprehensive analysis of multifarious technological modalities and puts forth a harmonized model that could furnish a foundational structure for classroom instruction. Central to this paradigm is the recognition of the paramountcy of intelligent tutoring systems, which serve to democratize access to tutoring. By imbuing these systems with advanced AI capabilities, learners can benefit from personalized and adaptive support, irrespective of their location or socioeconomic background. Furthermore, the significance of conducting technological experiments cannot be understated, as it allows for the exploration of new frontiers and the subsequent application of findings to “teaching-learning models.” These models harness a diverse range of interaction patterns to enhance the educational experience. By embracing these transformative elements, educational frameworks can better cater to the evolving needs of learners, while intelligent tutoring systems and ongoing technological experimentation serve as cornerstones in advancing the educational journey.
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The literature predominantly relies on conceptual papers and anecdotal evidence.
“While faculty demonstrate creative applications, the predominant reliance on con ceptual papers and anecdotal evidence raises fundamental questions about implementation efficacy (Alam and Mohanty, 2023; Asad et al., 2021).”
From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Alam and Mohanty, 2023
The predominant reliance on conceptual papers and anecdotal evidence raises fundamental questions about implementation efficacy.
“While faculty demonstrate creative applications, the predominant reliance on con ceptual papers and anecdotal evidence raises fundamental questions about implementation efficacy (Alam and Mohanty, 2023; Asad et al., 2021).”
From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Alam and Mohanty, 2023
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References 253 · Cited by 269
- Authors
- Alam, A., & Mohanty, A.
- Affiliations
- Indian Institute of Technology Kharagpur (IN)
- Venue
- Cogent Engineering
- Publisher
- Informa UK Limited
- Published
- 2023-11-27
- Volume
- 10
- Issue
- 2
- ISSN
- 2331-1916 (ISSN-L)
- OpenAlex
- W4389045110
- Cited by
- 269
- References
- 253
- Citations by year
- 2026: 96 · 2025: 127 · 2024: 45 · 2023: 1
- FWCI
- 63.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cogent Engineering (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- no specific grant from any funding agency in the public
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Educational Technology in Learning
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- educational technology, mobile learning, interactivity in learning, artificial intelligence in education, intelligent tutoring systems, game-based learning, augmented reality, adaptive learning, personalized learning, teaching-learning model
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