ChatGPT for Generating Questions and Assessments based on Accreditations

Rania A Aboalela, King Abdulaziz University, Saudi Arabia

Abstract

This research aims to take advantage of artificial intelligence techniques in producing students' assessment that is compatible with the different academic accreditations of the same program. The possibility of using ChatGPT technology was studied to produce an academic accreditation-compliant test NCAAA and ABET. A novel method was introduced to map the verbs used to create the questions introduced in the tests. The method allows a possibility of using the ChatGPT technology to produce and check the validity of questions that measure educational outcomes. A questionnaire was distributed to ensure that the use of ChatGPT to create exam questions is acceptable by the faculty members, as well as to ask about the acceptance of assistance in validating questions submitted by faculty members and amending them in accordance with academic accreditations. The questionnaire was distributed to faculty members of different majors in the Kingdom of Saudi Arabias' universities. 120 responses obtained with 85% approval percentage for generate complete exam questions by ChatGPT. Whereas 98% was the approval percentage for editing and improving already existed questions.

Keywords

ChatGPT AI, NCAAA, ABET, IS Program, Kingdom of Saudi Arabia, Bloom Taxonomy.

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#chatgpt #artificialintelligence #machinelearning #datamining #computervision

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