Call for Papers: Online and Blended Learning in the Age of Generative AI

2023-09-11

Call for Papers: Online and Blended Learning in the Age of Generative AI

 

Online Learning

 

Aras Bozkurt, Anadolu University, Türkiye

Haesol Bae, University at Albany, State University of New York, USA

 

The advent of generative artificial intelligence (AI) has ignited considerable excitement, largely attributed to its ability to generate original content through natural language processing (NLP) and comprehensive language models (LLM). The main reason for this excitement is the potential of generative AI to comprehend and produce human language in a similar manner to a human being, considered one of the most intricate and advanced systems in existence (Bozkurt, 2023). Given this, we cannot ignore, resist, or deny the continuous influence of generative AI technologies. The capacity of these generative AI agents to employ human language for communication, interaction, and crafting human-like responses suggests a potential shift in the prevailing educational paradigm.

 

The advantages and difficulties of implementing generative AI in educational settings have been examined in existing research (Baidoo-Anu & Owusu Ansah, 2023; Bozkurt et al., 2023; Bozkurt & Sharma, 2023; Chan & Hu, 2023; Hsu & Ching, 2023; Kesneci et al., 2023; Lodge et al., 2023; Sharples, 2023; Tlili et al., 2023; Yu et al., 2023). As we delve deeper into the potentials of generative AI in education, it's crucial to adopt a critical, proactive, and reflective approach, thoroughly weighing the potential benefits and challenges posed by this technology. In line with this, the Special Issue titled "Online and Blended Learning in the Age of Generative AI" aims to investigate the influence of generative AI.

 

We will consider both theoretical and empirical contributions, provided they exhibit rigorous research, critical thinking, and innovative insights. The following are suggested topics for submission; however, this is not an exhaustive list:

 

Foundations of Generative AI in Education

  • Assessment and Evaluation in AI-Enabled Learning Environments
  • Curriculum Development in the Age of Generative AI
  • The Role of Generative AI in Promoting Lifelong, Life-Wide, and Life-Deep Learning

Ethical and Practical Considerations

  • Ethics, Data Privacy, and Generative AI
  • Algorithmic Bias in Generative AI and its Implications
  • Reliability of Knowledge Sources and Quality Control in AI-Driven Learning

Innovative Pedagogical Approaches

  • Co-Creation with Generative AI Agents: New Pathways for Learning
  • Automating Feedback and Assessment
  • Facilitated Collaboration and Cooperation through Generative AI

Inclusive and Personalized Learning

  • Improved Accessibility through Generative AI
  • Personalized Learning with Generative AI
  • Inclusive Learning Content in AI-Integrated Education

Creative and Critical Approaches

  • Prompt Engineering and online learning in Generative AI: Insights and Practices
  • Creativity and Critical Thinking in the Age of Generative AI
  • Organic (Human-Created) vs. Synthetic (Generative AI-Created) Learning Contents

 

Preliminary Timeline

  • November 17, 2023: Submission of extended abstracts through Google Form
  • November 30, 2023: Invitation of accepted submissions
  • March 15, 2024: Full text articles are submitted through Online Learning article management system.
  • May 15, 2024: Revision requests
  • June 15, 2024: Final date the upload revised document.
  • June 30, 2024: Final editorial decision.
  • September 2024: Publication of the SI




References

Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. SSRN. https://dx.doi.org/10.2139/ssrn.4337484

Bozkurt, A., & Sharma, R. C. (2023). Generative AI and prompt engineering: The art of whispering to let the genie out of the algorithmic world. Asian Journal of Distance Education, 18(2). https://doi.org/10.5281/zenodo.817494

Bozkurt, A. (2023). Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1), 198-204. https://doi.org/10.5281/zenodo.7716416

Bozkurt, A., Xiao, J., Lambert, S., Pazurek, A., Crompton, H., Koseoglu, S., Farrow, R., Bond, M., Nerantzi, C., Honeychurch, S., Bali, M., Dron, J., Mir, K., Stewart, B., Costello, E., Mason, J., Stracke, C. M., Romero-Hall, E., Koutropoulos, A., Toquero, C. M., Singh, L Tlili, A., Lee, K., Nichols, M., Ossiannilsson, E., Brown, M., Irvine, V., Raffaghelli, J. E., Santos-Hermosa, G Farrell, O., Adam, T., Thong, Y. L., Sani-Bozkurt, S., Sharma, R. C., Hrastinski, S., & Jandrić, P. (2023). Speculative futures on ChatGPT and generative artificial intelligence (AI): A collective reflection from the educational landscape. Asian Journal of Distance Education, 18(1), 53-130. https://doi.org/10.5281/zenodo.7636568

Chan, C. K. Y., & Hu, W. (2023). Students' voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Lodge, J. M., Thompson, K., & Corrin, L. (2023). Mapping out a research agenda for generative artificial intelligence in tertiary education. Australasian Journal of Educational Technology, 39(1), 1–8. https://doi.org/10.14742/ajet.8695

Sharples, M. (2023). Towards social generative AI for education: theory, practices and ethics. arXiv preprint. https://doi.org/10.48550/arXiv.2306.10063

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 1-24. https://doi.org/10.1186/s40561-023-00237-x

Yu, H., & Guo, Y. (2023, June). Generative artificial intelligence empowers educational reform: current status, issues, and prospects. Frontiers in Education, 8,1183162. https://doi.org/10.3389/feduc.2023.1183162