Marissa K. L. E* and Misty So-Sum WAI-COOK
Centre for English Language Communication (CELC), NUS
E, M. K., L., & Wai-Cook, M. S. S. (2024). Generative AI use in the classroom: Student perception and learning outcomes [Lightning talk]. In Higher Education Conference in Singapore (HECS) 2024, 3 December, National University of Singapore. https://blog.nus.edu.sg/hecs/hecs2024-marissakle-wai-cook/
SUB-THEME
Opportunities from Generative AI
KEYWORDS
Generative AI, academic literacies, higher education, academic writing
CATEGORY
Lightning Talk
EXTENDED ABSTRACT
The emergence of Generative AI has required educators to re-think their approaches to teaching and learning. In the context of the academic literacies classroom, the use of Generative AI has caused mixed reactions among educators. This is because of how the technology can potentially provide useful writing support to students, yet also be easily used to produce texts on demand that can meet assignment requirements. As such, calls have been made for writing instructors to teach students how to appropriately harness Generative AI as a tool to enhance their writing and research skills (Johinke et al., 2023).
In response to this call, we describe here, two exploratory case studies from two different writing courses where Generative and semi-Generative AI tools have been used in the academic literacies classroom to teach students how to develop initial topic ideas for a research paper, assist them with the writing process and provide them with the opportunity to critically assess different platforms to search for scholarly sources for the research paper. The main difference between Generative and semi-Generative AI tools is that the latter is not as freely generative as the former.
The focus in the first case is to examine if, and how, students use Generative and semi-Generative AI tools to conceptualise ideas and assist them in writing research papers, and their perceptions of the effectiveness of using such tools during their writing process. Querying student perception regarding their experience with such tools is important as it can be associated with their motivations underlying the use of the tools, as well as useful insights about the utility of such tools for future student cohorts (Chan & Hu, 2023). A survey was used in this first case.
In the second case, the use of Consensus.ai, a semi-Generative AI tool employed for searching for research sources, is described. We show here how students not only used the tool to search for research sources, exhibiting useful research skills, but also used critical thinking (Huang et al., 2024) to discern whether these sources are useful in the context of a proposed small-scale research study assignment.
Figure 1 shows an extracted portion from a graphic organizer used in class where students had to critically compare three platforms—Consensus.ai, Google Scholar and NUS Libraries databases like JSTOR. The first platform is the semi-Generative AI platform while the remaining two are more traditional platforms used for searching for research sources. Students used the organiser to pen down how the three platforms helped them with their literature search. In Figure 1, we can see how the student has formed a critical opinion about two of the platforms. He first points out how Consensus.ai has its strengths, like its ability to facilitate quick identification of the thesis of an article, in comparison to Google Scholar. He is also able to identify how Google Scholar has an advantage over Consensus.ai with its ability to cover a wider range of articles in comparison.
Figure 1. Graphic Organiser
The fact that Generative AI is increasingly capable of producing writing that is grammatically correct and relevant to a given prompt, with only the characteristic of style lacking at this point, means that academic literacies courses need to go beyond text production and focus as well on how thinking skills like ideation that go into the process of producing text can be facilitated (Dai et al., 2023).
REFERENCES
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(43), https://doi.org/10.1186/s41239-023-00411-8
Dai, Y., Liu, A., & Lim, C. P. (2023). Reconceptualizing ChatGPT and generative AI as student-driven innovation in higher education. Procedia CIRP, 119, 84-90. https://doi.org/10.1016/j.procir.2023.05.002
Huang, C. W., Coleman, M., Gachago, D., & Van Belle, J. P. (2024). Using ChatGPT to Encourage Critical AI Literacy Skills and for Assessment in Higher Education. In Van Rensburg, H.E., Snyman, D.P., Drevin, L., Drevin, G.R. (Eds.), ICT Education. SACLA 2023. Communications in Computer and Information Science, 1862. Springer, Cham.
Johinke, R., Cummings, R., & Di Lauro, F. (2023). Reclaiming the technology of higher education for teaching digital writing in a post-pandemic world. Journal of University Teaching and Learning Practice, 20(2), https://doi.org/10.53761/1.20.02.01