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Title: | I'm a chatbot, ask me anything: using ChatGPT to improve learning experiences |
Authors: | Pickard-Jones, B Thomson, S Baines, S Otermans, P |
Keywords: | GenAI;cognitive load;skill building;artificial intelligence;AI |
Issue Date: | 31-Oct-2024 |
Publisher: | Association for Learning Development in Higher Education |
Citation: | Pickard-Jones, B., et al. (2024) 'I’m a chatbot, ask me anything: using ChatGPT to improve learning experiences', Journal of Learning Development in Higher Education, (32), pp. 1 - 7. doi: 10.47408/jldhe.vi32.1414. |
Abstract: | Artificial Intelligence (AI) offers substantial opportunities and challenges in higher education. Given the evolving technological landscape, educators must ensure that students acquire a skill set encompassing both AI and traditional academic skills to enable them to succeed in their studies and future careers. We tested two groups of students, who each watched a recorded lecture on an unfamiliar topic. The first group used ChatGPT to ask questions and clarify content during the lecture, while the second group used Google search for the same purpose. We assessed the impact of these tools on the students’ cognitive load (germane and extraneous) and measured active learning through the number of questions students asked. We also used a post-test quiz, covering the breadth of Bloom’s Taxonomy, to evaluate the efficacy of each method. We expected that students using ChatGPT would experience lower extraneous cognitive load, higher germane cognitive load, and would learn content more effectively. Qualitative results demonstrated a notable preference for chatbots over search engines, due to the ease of locating specific information and obtaining insightful responses. Our findings suggest the potential of AI as a transformative tool in education, helping to enhance and deepen learning, while ensuring students retain ownership of their critical and creative processes. Leveraging the potential of AI and large language models may also serve a broader purpose: by personalising learning experiences to match individual students’ language skills, experience levels, and needs, AI may bridge the gap between the tailored support students want and the practical constraints that educators face. |
Description: | Within Special Edition, ALDinHE Conference Proceedings and Reflections ALDCON24: Association for Learning Development Conference took place online and in person on 11 - 12 July 2024. |
URI: | https://bura.brunel.ac.uk/handle/2438/30718 |
DOI: | https://doi.org/10.47408/jldhe.vi32.1414 |
Other Identifiers: | ORCiD: Beverley Pickard-Jones https://orcid.org/0000-0001-9886-9035 ORCiD: Stephanie Baines https://orcid.org/0000-0001-7293-9517 ORCiD: Pauldy Otermans https://orcid.org/0000-0001-8495-348X |
Appears in Collections: | Dept of Life Sciences Research Papers |
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FullText.pdf | Copyright © 2024 The Author(s) This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. Journal of Learning Development in Higher Education (JLDHE) is a peer-reviewed open access journal published by the Association for Learning Development in Higher Education (ALDinHE). | 237.75 kB | Adobe PDF | View/Open |
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