ABSTRACT
Technology tools have always been readily available to help students learn. From calculators to search engines to Artificial Intelligence (AI) tools, it has always been a challenge for educators to maintain assessments that effectively assess student learning on their merit. Adopting a continuous improvement mindset, reflecting on student outcomes, and utilizing research in assessment development can assist in this process. This paper will make recommendations on how to develop assessments in the world of AI that will promote and effectively assess student learning in Information Technology education.
- Mike Perkins. 2023. Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching & Learning Practice 20, 2 (March 2023), 1–24. DOI:https://doi.org/10.53761/1.20.02.07Google ScholarCross Ref
- C. Rust. 2002. The Impact of Assessment on Student Learning. Active Learning in Higher Education 3, 2 (2002), 145–158. DOI:https://doi.org/10.1177/1469787402003002004Google ScholarCross Ref
- Hazem Said, Michael Zidar, Said Varlioglu, and Cornelius Itodo. 2021. A Framework for the Discipline of Information Technology. In SIGITE 2021 - Proceedings of the 22nd Annual Conference on Information Technology Education, 53–54. DOI:https://doi.org/10.1145/3450329.3478313Google ScholarDigital Library
- Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martinez-Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, and Dragan Gašević. 2022. Assessment in the age of artificial intelligence. Computers and Education: Artificial Intelligence 3, (January 2022), 100075. DOI:https://doi.org/10.1016/j.caeai.2022.100075Google ScholarCross Ref
- A. Waters. 2015. A Brief History of Calculators in the Classroom. Hack Education. Retrieved May 29, 2023 from http://hackeducation.com/2015/03/12/calculatorsGoogle Scholar
- ChatGPT. Retrieved May 30, 2023 from https://chat.openai.com/Google Scholar
Index Terms
- Harnessing the Disruption of New Technologies to Maintain Effective Assessment Strategies in Information Technology Education
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