If you’re looking for a home for your generative AI paper, you now have a few special issues to choose from:

TechTrends call

We welcome proposals for original research articles and theoretical papers that explore the potential of integrating Generative AI in education. We encourage submissions on (but not limited to) the following topics:
1. Personalized learning experiences that address learner needs and preferences;
2. Language learning, such as offering practice in conversation or helping with translation;
3. Coding/programming education or computational thinking, such as supporting debugging;
4. Assistance during writing process, such as brainstorming, editing, character generation;
5. Teaching support, such as answering frequently asked questions, generating question prompts and examples, evaluating students’ writing;
6. Student engagement and motivation, such as providing feedback and human-like interactions through natural language output;
7. Higher-order thinking, such as enhancing analytical, critical thinking, and reflection.
8. Collaborative learning process, such as supporting group discussion or interaction.

International Journal of Educational Technology in Higher Education call

The call for papers is intended to invite contributions that address the recent development of AI in HE in light of new applications such as ChatGTP, aiming to provide more comprehensive and collective answers to the following questions:

• What is the actual impact of AI on different aspects of HE institutions (e.g. student support systems, administration, professional development, and infrastructure)?
• What is the actual impact of AI on different aspects of learning and teaching in HE? (e.g. assessment, data literacy, design of learning activities)?
• What is the actual impact of AI on different subjects in HE? (e.g. students, teachers, administrators, causal workers, other stakeholders)?

The Special Issue Editors are also interested in making sense of the impact of AI on educational accessibility and (in-)equity regarding the cost, quality, and access in different forms of open, distance, and digital education. Both theoretical and empirical works will be considered to be included as long as they demonstrate rigour, criticality, and novelty.

IEEE Transactions on Learning Technologies call

The successful design and application of generative AI require holistic considerations of theoretical frameworks, pedagogical approaches, facilitative ecological structure, and appropriate standards. Topics of interest for this special issue include, but are not limited to:

  • Studies on the pedagogical or curricular approaches to teaching and learning with generative AI.
  • Discussion on the theoretical frameworks of generative AI to provide the basis for the understanding of systems and their capabilities for teaching and learning.
  • Discussion of the extent to which the design of learning environments with generative AI aligns with different theories of learning (e.g., behaviorism, cognitivism, (social) constructivism, constructionism, socio-cultural).
  • Studies on the applications of generative AI for assessment of, assessment for, and assessment as learning.
  • Development of the environmental structures that facilitate the employment of generative AI in education.
  • Development or implementation of relevant standards governing the proper use of generative AI in human learning contexts.
  • Exemplary use cases and practices of generative AI… [more bullet points in the CFP]

Update (Eamon Costello alerted me to an additional one): Learning Media and Technology call

We invite theoretical papers and theoretically-informed empirical studies that explore emerging practices and offer new imaginings of generative AI in education. Papers may use a variety of methodological approaches including feminist, critical, new materialist, interpretive, qualitative, rhetorical, quantitative, or experimental.

Topics may include, and are not limited to:

  • Critical pedagogy and generative AI
  • Ways in which generative AI further complicates notions of authenticity–of authorship, ideas, ownership, and truth
  • Creative and productive uses of generative AI and how can they be harnessed in education
  • Ethical, political, and epistemological issues of generative AI in education
  • Socio-technical explorations of generative AI and equity, power, inclusion, diversity, identity, marginalization, (dis)ability, ethnicity, gender, race, class, community, sustainability, etc.
  • Development of methodologies to critically assess generative AI in education
  • Alternative imaginaries for the development of future generative AI tools for education

Update Apr 16: One more from the Asian Journal of Distance Education

…to better understand what generative AI promises us, we need to examine its philosophy, develop a theoretical understanding, and investigate “how human tutors and machines (ChatGPT) could work together to achieve an educational objective, as well as the changes and outcomes brought to the education field (e.g., evolutionary or revolutionary)” (Tlili et al., 2023, p. 22). Based on above the thoughts, Asian Journal of Distance Education seeks papers on generative AI with a focus on open, online, and distance education. Research papers, systematic reviews, and opinion papers with a critical stance are welcome.