Special Issue: Artificial Intelligence and Data Analytics Use in the Classroom and Academy
Deadline: June 30, 2024
Applied Economics and Teaching Resources is calling for manuscripts about use of artificial intelligence (AI) and data analytics in undergraduate and graduate education in the classroom and across the academy. Submissions of case studies, teaching and extension scholarship and research, educational innovations and methods, extension education innovations and methods, and commentaries about use of artificial intelligence, including use of large language models (LLMs) and platforms, such as ChatGPT, Bing AI, Bard, amongst other, and data analytics in undergraduate and graduate education, extension education, and other learning venues in institutions of higher learning. This special issue is open to a wide array of topics related to artificial intelligence and data analytics across the agricultural and applied economics and agribusiness and management economics disciplines. Topics may include but are not limited to innovative use of AI and data analytics in the classroom; innovative data analytic teaching modules and teaching case studies; teaching case studies about the impact of AI on agriculture, the agricultural industry and society; ethical and academic concerning the use of AI in the academy; assessments of AI for different learning outcomes and tasks; and use of AI and data analytics in extension education programming.
Special Issue Timeline:
If you are interested in making a submission to the special issue, please submit a 300 word abstract to Dr. Jason Bergtold (bergtold@ksu.edu) by June 30, 2024 at the latest. The abstract should describe the overall theme/topic of the manuscript, how it relates to the special issue call, and how it can be used for educational purposes. Your abstract will be reviewed once submitted and you will then be informed if you will be invited to submit a submission to the special issue. Submissions will be reviewed and if accepted published online and in regular issues of the journal under the special issue designation. Given the ever-changing nature of AI, we have chosen to be fluid about the submission and publication of manuscripts for this call.
Full papers for accepted abstracts must be submitted through AETR at www.aetrjournal.org. All papers will go through a double-blind peer review process and be available online via Advanced Access for readers once accepted. All submissions will need to follow the AETR submission guidelines at: https://www.aetrjournal.org/contribute/submission-guidelines. If you have questions about the special issue, please email the special issue editors.
