Artificial Intelligence and Computational Thinking in Education Across All Levels
A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Technology Enhanced Education".
Deadline for manuscript submissions: closed (28 February 2025) | Viewed by 1634
Special Issue Editors
Interests: education
Interests: curriculum and instruction; technology-enhanced learning; learning sciences; brain and cognition; educational psychology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) and computational thinking (CT) is revolutionizing educational paradigms across all levels, from pre-primary to university education. We invite submissions for a Special Issue, “Artificial Intelligence and Computational Thinking in Education Across All Levels”, aiming to explore AI and CT's diverse applications and impacts in the entire spectrum of educational settings.
This Special Issue seeks contributions illuminating AI and CT's role at different educational levels, including pre-primary, primary, secondary, and tertiary education. We welcome original research, case studies, systematic reviews, and theoretical papers addressing, but not limited to:
- AI-driven Learning Environments: The exploration of AI applications in creating personalized and adaptive learning experiences suitable for various educational levels.
- Computational Thinking in Curriculum Integration: How CT is incorporated across different age groups and subjects, and its impact on developing critical thinking and problem-solving skills.
- Teacher Training and Professional Development: Studies focusing on preparing educators to effectively integrate AI and CT in their teaching methodologies, across all educational levels.
- Ethical and Inclusive Education: Discussion on the ethical challenges of and need for inclusive AI-driven educational tools, ensuring equitable access across all levels of education.
- Evaluating Educational Outcomes: Research assessing the impact of AI and CT on learning outcomes, student engagement, and skill development from pre-primary to higher education.
- Diverse Educational Settings: Case studies showcasing the implementation and outcomes of AI and CT in various educational contexts, including traditional classrooms, online platforms, and blended learning environments.
We invite contributions from a broad range of disciplines and perspectives, Submissions should provide insightful analysis, empirical evidence, and a solid connection to current educational practices and theories.
Prof. Dr. Charoula Angeli-Valanides
Prof. Dr. Gary K. W. Wong
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
- AI in education
- AI trends
- AI ethics
- computational thinking
- educational technology
- learning environments
- teacher training
- professional development
- personalized learning
- assessment tools
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