Using AI-Integrated Assignments in Online Asynchronous Research Methods Instruction
Location
Helms Classroom #173
Session Format
Presentation
Abstract
Higher education is grappling with the existence of generative AI, and online asynchronous courses may be the most impacted by unauthorized use of this technology. To combat the unethical use of AI and to assist students in ethically engaging with the technology, I have introduced AI-integrated assignments that ask students to draft their own work (e.g. research questions, questionnaire items) and then engage with large language models (LLMs) for suggestions and feedback. Students are expected to align these suggestions with course readings. This presentation will show examples of AI-integrated assignments and analyze student responses to these assignments for accuracy of the AI feedback. Lastly, student work (i.e. final research questions) will be compared to previous semesters not using the AI-integrated assignments.
Keywords
AI, Research Questions, Research Methods, Higher Education
Professional Bio
Dr. Lauren Neal is Assistant Professor of Educational Research at Columbus State University. She is interested in the scholarship of teaching and learning, particularly in the areas of research methods and statistics.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Neal, Lauren B., "Using AI-Integrated Assignments in Online Asynchronous Research Methods Instruction" (2026). Georgia Educational Research Association Conference. 27.
https://digitalcommons.georgiasouthern.edu/gera/2026/2026/27
Using AI-Integrated Assignments in Online Asynchronous Research Methods Instruction
Helms Classroom #173
Higher education is grappling with the existence of generative AI, and online asynchronous courses may be the most impacted by unauthorized use of this technology. To combat the unethical use of AI and to assist students in ethically engaging with the technology, I have introduced AI-integrated assignments that ask students to draft their own work (e.g. research questions, questionnaire items) and then engage with large language models (LLMs) for suggestions and feedback. Students are expected to align these suggestions with course readings. This presentation will show examples of AI-integrated assignments and analyze student responses to these assignments for accuracy of the AI feedback. Lastly, student work (i.e. final research questions) will be compared to previous semesters not using the AI-integrated assignments.
