Artificial Intelligence in Higher Education: Innovation, Cognition and Learning

A special issue of Education Sciences (ISSN 2227-7102).

Deadline for manuscript submissions: 30 December 2024 | Viewed by 3696

Special Issue Editors


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Department of General Didactic and Specific Didactic, University of Alicante, 03690 Alicante, Spain
Interests: educative technology; active methodologies; research in university and non-university teaching; inclusive education
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of General Didactic and Specific Didactic, University of Alicante, 03690 Alicante, Spain
Interests: society and social change; cultural manifestations; aesthetic thought; students experiences of studying music; competency-based teaching
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Education in general, and Higher Education in particular, is a field that is constantly evolving, and artificial intelligence (AI) has emerged as a transformative force in the field. With rapid and continuous technological advances, AI has demonstrated significant potential to improve educational processes, personalise learning and empower students and teachers.

From virtual assistants and adaptive tutoring systems to educational data analytics and content personalisation, AI has the potential to revolutionise the way teaching and learning takes place, opening up new opportunities to improve the quality and effectiveness of Higher Education through the use of advanced algorithms and techniques.

In this context, we are pleased to announce a call for papers to explore and analyse the relationship between artificial intelligence and Higher Education. Authors are invited to explore various aspects, such as concrete applications of AI in the classroom, adaptive learning models, automated assessment, teacher training, and the ethical and social challenges associated with the use of AI in Higher Education.

In doing so, we aim to bring together a wide range of perspectives and approaches to better understand the impact of artificial intelligence in Higher Education. Authors are encouraged to address, but not be limited to, the following topics in the context of Higher Education:

  • Generative Artificial Intelligence in Higher Education;
  • Applications of artificial intelligence in teaching and learning;
  • AI in the service of emotional aspects in the classroom;
  • Psycho-pedagogical aspects of students (attention, motivation, emotional state, among others) and AI;
  • Adaptive and personalised learning using AI;
  • Use of virtual assistants and chatbots in education;
  • AI for automated assessment and feedback;
  • Impact of AI on teacher training and their role in the classroom;
  • Ethics and responsibility in the implementation of AI in education;
  • AI and educational data analysis for decision-making;
  • Integration of AI in the curriculum and educational planning;
  • Experiences and good practices in the implementation of AI in educational institutions;
  • Social robotics and Artificial Intelligence in the educational context;
  • Challenges and opportunities of AI in education.

Selected papers will be published in MDPI (Education Sciences), which will provide wide visibility and recognition in the scientific and educational community. Those interested in participating should submit their full papers via the online submission system before the deadline. All papers will undergo a rigorous blind peer-review process, ensuring the quality and originality of accepted contributions.

This call for papers seeks to bring together the most innovative and relevant research on the intersection between artificial intelligence and Higher Education. We hope that this initiative will foster the exchange of ideas, promote the advancement of the field and contribute to the improvement of Higher Education systems globally.

We look forward to receiving your innovative and insightful research that sheds light on the potential of artificial intelligence in Higher Education. Together, we can make the most of this technology and shape a more inclusive, dynamic and student-centred educational future. We look forward to your participation!

Prof. Dr. Rosabel Roig-Vila
Prof. Dr. Miguel Angel Cazorla
Prof. Dr. José María Esteve-Faubel
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
  • digital technology
  • disruptive learning
  • digital transformation
  • adaptive learning
  • cognitive technology
  • emotions in learning
  • personalised learning
  • educational automation
  • pedagogical innovation

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Published Papers (1 paper)

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Review

34 pages, 16659 KiB  
Review
Evaluating Recent Advances in Affective Intelligent Tutoring Systems: A Scoping Review of Educational Impacts and Future Prospects
by Jorge Fernández-Herrero
Educ. Sci. 2024, 14(8), 839; https://doi.org/10.3390/educsci14080839 - 1 Aug 2024
Viewed by 2827
Abstract
Affective intelligent tutoring systems (ATSs) are gaining recognition for their role in personalized learning through adaptive automated education based on students’ affective states. This scoping review evaluates recent advancements and the educational impact of ATSs, following PRISMA guidelines for article selection and analysis. [...] Read more.
Affective intelligent tutoring systems (ATSs) are gaining recognition for their role in personalized learning through adaptive automated education based on students’ affective states. This scoping review evaluates recent advancements and the educational impact of ATSs, following PRISMA guidelines for article selection and analysis. A structured search of the Web of Science (WoS) and Scopus databases resulted in 30 studies covering 27 distinct ATSs. These studies assess the effectiveness of ATSs in meeting learners’ emotional and cognitive needs. This review examines the technical and pedagogical aspects of ATSs, focusing on how emotional recognition technologies are used to customize educational content and feedback, enhancing learning experiences. The primary characteristics of the selected studies are described, emphasizing key technical features and their implications for educational outcomes. The discussion highlights the importance of emotional intelligence in educational environments and the potential of ATSs to improve learning processes. This review identifies gaps in the current research and suggests future directions, including broader implementation across diverse educational settings and deeper integration of affective data to refine system responsiveness. Future research should investigate the integration of advanced natural dialogue modules and generative AI to create more sophisticated interfaces, underscoring the role of affective adaptation in educational technology. Full article
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