Emerging Pedagogies for Integrating AI in Education
A special issue of Education Sciences (ISSN 2227-7102).
Deadline for manuscript submissions: 1 March 2025 | Viewed by 361
Special Issue Editors
Interests: how to create effective, efficient, and engaging personalized yet collaborative learning environments enhanced by technology in various modes of learning, including face-to-face, online, and hybrid; personalized learning; instructional design; online learning; active learning spaces; and research methods in instructional technology
Interests: promoting self-regulated learning; self-efficacy; motivation in technology-enhanced learning environments by integrating technology and facilitating technology integration for learner-centered instructions
Interests: collaborative models of teacher professional learning; technology supports for teacher professional learning; technology integration in B-12 environments; supporting online faculty; studying online Critical Friend Groups and researching virtual coaches
Interests: enriching STEM and the arts through creative computing; investigating how to scale and sustain CAD modeling and 3D printing standard literacies within undergraduate education and exploring how AR/VR-based models and simulations alter perspective taking
Special Issue Information
Dear Colleagues,
As educators integrate technologies into learning, the traditional, one-size-fits-all approach is giving way to a more flexible, personalized, and learner-centered model, where emerging technology plays a pivotal role in shaping the educational experience (UNESCO, 2023). Artificial intelligence (AI) is the most prominent emerging technology in not just education but in society as a whole. As AI has quickly become an integral part of our lives, there is growing interest in integrating AI to enhance learning experiences.
We are pleased to announce a call for papers for this Special Issue, entitled “Emerging Pedagogies for Integrating AI in Education”. This Special Issue aims to explore novel, transformative, or refined pedagogies in utilizing artificial intelligence (AI) in teaching and learning. Authors are encouraged to consider effective, ethical, and equitable pedagogical uses of AI in education. Submissions should provide insights into how AI can be utilized to enhance teaching and learning systems and experiences, informed by relevant theories while considering the diverse needs of learners. We encourage submissions that offer empirical research, theoretical frameworks, case studies, and critical reviews related to, but not limited to, the following themes:
- Innovative pedagogical approaches enabled by AI tools to enhance learning experiences, such as AI-driven personalized learning environments;
- Theory-driven pedagogical frameworks and approaches in integrating AI into teaching and learning;
- The role of AI in enhancing instructional and assessment practices;
- Case studies of successful AI integration in classrooms and other formal and informal educational settings;
- Redefining STEM educational approaches with the integration of AI;
- Ethical considerations when designing instructional strategies utilizing AI, such as AI and academic integrity;
- Inclusive pedagogy in integrating AI in teaching and learning.
Reference
UNESCO. (2023). Global education monitoring report 2023: Technology in education – A tool on whose terms? https://unesdoc.unesco.org/ark:/48223/pf0000385723
Dr. Dabae Lee
Dr. Yeol Huh
Dr. Julie Moore
Dr. Jason Harron
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- pedagogy
- reinventing learning
- AI in education
- instructional strategy
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