Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge work
The increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utili...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Cogent Education |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/2331186X.2024.2439651 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846127497994829824 |
|---|---|
| author | Pasty Asamoah Daniel Zokpe Richard Boateng John Serbe Marfo Sheena Lovia Boateng David Asamoah Abdul Samed Muntaka John Frimpong Manso |
| author_facet | Pasty Asamoah Daniel Zokpe Richard Boateng John Serbe Marfo Sheena Lovia Boateng David Asamoah Abdul Samed Muntaka John Frimpong Manso |
| author_sort | Pasty Asamoah |
| collection | DOAJ |
| description | The increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utilization of GenAI, we propose a framework based on the expertise acquisition model, information retrieval theory, and deontological ethics theory, emphasizing the need for domain knowledge, query capabilities, and ethical acumen (DEQ). Using a ‘thing’ ethnography methodology with ChatGPT, we validated our framework, highlighting the importance of these competencies to mitigate risks, including the generation of factually incorrect and plagiarized content. Our findings suggest that while GenAI can drive innovation, its content should be used as a guiding tool to enhance critical thinking and reasoning, ultimately helping knowledge workers and students avoid plagiarism and maintain academic integrity. We discuss this novel framework and provide avenues for extending this study. |
| format | Article |
| id | doaj-art-0574c8c3b51b41789e02ac625a86929f |
| institution | Kabale University |
| issn | 2331-186X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Education |
| spelling | doaj-art-0574c8c3b51b41789e02ac625a86929f2024-12-11T16:34:55ZengTaylor & Francis GroupCogent Education2331-186X2024-12-0111110.1080/2331186X.2024.2439651Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge workPasty Asamoah0Daniel Zokpe1Richard Boateng2John Serbe Marfo3Sheena Lovia Boateng4David Asamoah5Abdul Samed Muntaka6John Frimpong Manso7Supply Chain and Information Systems Department, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaSupply Chain and Information Systems Department, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Operations and Management Information Systems, University of Ghana Business School, Accra, GhanaSupply Chain and Information Systems Department, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Marketing and Entrepreneurship, University of Ghana Business School, Accra, GhanaSupply Chain and Information Systems Department, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaSupply Chain and Information Systems Department, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaSupply Chain and Information Systems Department, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaThe increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utilization of GenAI, we propose a framework based on the expertise acquisition model, information retrieval theory, and deontological ethics theory, emphasizing the need for domain knowledge, query capabilities, and ethical acumen (DEQ). Using a ‘thing’ ethnography methodology with ChatGPT, we validated our framework, highlighting the importance of these competencies to mitigate risks, including the generation of factually incorrect and plagiarized content. Our findings suggest that while GenAI can drive innovation, its content should be used as a guiding tool to enhance critical thinking and reasoning, ultimately helping knowledge workers and students avoid plagiarism and maintain academic integrity. We discuss this novel framework and provide avenues for extending this study.https://www.tandfonline.com/doi/10.1080/2331186X.2024.2439651Generative AIeducationinformation retrieval theoryexpertise acquisition modeldeontological ethics theoryacademic integrity |
| spellingShingle | Pasty Asamoah Daniel Zokpe Richard Boateng John Serbe Marfo Sheena Lovia Boateng David Asamoah Abdul Samed Muntaka John Frimpong Manso Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge work Cogent Education Generative AI education information retrieval theory expertise acquisition model deontological ethics theory academic integrity |
| title | Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge work |
| title_full | Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge work |
| title_fullStr | Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge work |
| title_full_unstemmed | Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge work |
| title_short | Domain knowledge, ethical acumen, and query capabilities (DEQ): a framework for generative AI use in education and knowledge work |
| title_sort | domain knowledge ethical acumen and query capabilities deq a framework for generative ai use in education and knowledge work |
| topic | Generative AI education information retrieval theory expertise acquisition model deontological ethics theory academic integrity |
| url | https://www.tandfonline.com/doi/10.1080/2331186X.2024.2439651 |
| work_keys_str_mv | AT pastyasamoah domainknowledgeethicalacumenandquerycapabilitiesdeqaframeworkforgenerativeaiuseineducationandknowledgework AT danielzokpe domainknowledgeethicalacumenandquerycapabilitiesdeqaframeworkforgenerativeaiuseineducationandknowledgework AT richardboateng domainknowledgeethicalacumenandquerycapabilitiesdeqaframeworkforgenerativeaiuseineducationandknowledgework AT johnserbemarfo domainknowledgeethicalacumenandquerycapabilitiesdeqaframeworkforgenerativeaiuseineducationandknowledgework AT sheenaloviaboateng domainknowledgeethicalacumenandquerycapabilitiesdeqaframeworkforgenerativeaiuseineducationandknowledgework AT davidasamoah domainknowledgeethicalacumenandquerycapabilitiesdeqaframeworkforgenerativeaiuseineducationandknowledgework AT abdulsamedmuntaka domainknowledgeethicalacumenandquerycapabilitiesdeqaframeworkforgenerativeaiuseineducationandknowledgework AT johnfrimpongmanso domainknowledgeethicalacumenandquerycapabilitiesdeqaframeworkforgenerativeaiuseineducationandknowledgework |