Advancing Educational Innovation with Artificial Intelligence

Dear Colleagues,

We are excited to introduce a call for special issue focused on "Advancing Educational Innovation with Artificial Intelligence". In light of the rapid progress in the field of AI, we are excited to explore its diverse applications in the realm of education. AI technologies have shown immense potential to transform teaching and learning through decision-making support, content generation, and idea inspiration.

AI holds great promise in reshaping the educational landscape. Educators have already begun leveraging AI technologies to enhance teaching methodologies, and students have creatively utilized these tools to enrich their learning experiences. However, there is still much to discover as educators and researchers explore best practices for effectively incorporating AI into teaching and learning. This frontier presents an exciting opportunity for innovation and experimentation.

Despite the potential benefits of AI in educational settings, concerns about intellectual property, information accuracy, data privacy, and policy regulations persist. This Special Issue is dedicated to bringing together original research and theoretical papers that delve into the successful integration of AI in educational contexts, acknowledging the challenges and opportunities it presents. It also provides a platform for educators and researchers to explore the adoption of AI as a tool for handling complex tasks in the educational landscape.

This call for proposals aims to assemble pioneering research and theoretical contributions that shed light on the effective integration of AI within educational domains, showcasing the myriad ways these tools can enrich the teaching and learning process. We invite researchers and scholars to submit manuscripts that advance our understanding of evidence-based practices concerning AI integration and its profound influence on the realm of education. This is a call to all those who seek to push the boundaries of education through the power of AI.

Call for Proposals:

We invite proposals for original research articles and theoretical papers that explore the potential of integrating AI in education. Submissions are encouraged on a wide range of topics related to AI, including but not limited to:

• Personalized learning experiences tailored to individual learner needs and preferences;
• Language learning applications, encompassing conversation practice and translation assistance;
• Coding/programming education and support for computational thinking, particularly in debugging;
• Assistance during the writing process, covering brainstorming, editing, and character generation;
• Teaching support functions, such as answering FAQs, generating prompts, and evaluating students’ writing;
• Student engagement and motivation through feedback and human-like interactions;
• Higher-order thinking enhancement, focusing on analysis, critical thinking, and reflection;
• Support for collaborative learning processes, including group discussion and interaction;
• Studies on pedagogical or curricular approaches to teaching and learning with AI;
• Discussion of theoretical frameworks for understanding AI capabilities in teaching and learning;
• Exploration of how design aligns with different learning theories (e.g., behaviorism, cognitivism, constructivism, etc.);
• Applications of AI for assessment purposes in learning
• Development of environmental structures facilitating AI use in education;
• Development or implementation of standards for proper AI use in learning contexts;
• Exemplary use cases and practices of AI across disciplines and educational levels;
• Use cases of AI for creating personalized and adaptive learning experiences;
• Social and cultural aspects in designing learning environments with AI;
• Socio-technical aspects, including usability and acceptance by instructors and learners;
• Examination of how AI can create accessible and inclusive learning environments;
• Ethical and security challenges associated with AI in education and mitigation strategies;
• Pedagogical and technological challenges in designing and implementing AI in education;
• Design-based research insights into ideational and learning technology design paradigms with AI;
• Evaluation studies assessing the effectiveness and impact of AI in learning design;
• Integration of AI to enhance non-traditional learning modalities;
• Historical contextualization of AI and its contributions to learning technology development;
• Investigation into the training and support of educators using AI tools in teaching and curriculum design.

Please note that this Special Issue emphasizes the dynamic interplay between technology and the pedagogical aspects of learning and teaching, rather than focusing on technology in isolation. Authors are encouraged to explore the judicious use of AI within distinct educational settings. Where feasible and relevant, innovative solutions addressing issues related to intellectual property, data quality and accuracy, machine learning models and algorithms, data privacy, bias, and other pertinent matters are invited. This holistic approach will contribute to the comprehensive exploration of AI's role in the educational landscape.

We look forward to receiving your proposals and publishing the latest research on empowering educational innovation with Artificial Intelligence technologies. If you have any questions about this Special Issue, please contact Dr. Xu Du (duxu@mail.ccnu.edu.cn).

Prof. Dr. Jui-Long Hung
Prof. Dr. Xu Du
Dr. Juan Yang
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 single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information 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 1600 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.

• generative AI
• education
• collaborative learning