Effective ways of assessment in the AI era

Abstract

The integration of deep learning and machine learning algorithms has resulted in the development of advanced AI systems, presenting significant challenges across various sectors, including education. The utilization of sophisticated AI technologies and software by educators and students from diverse backgrounds has transformed teaching and learning practices. These AI systems, powered by extensive datasets, demonstrate remarkable accuracy in learning and prediction, exemplified by tools like ChatGPT that can predict answers to complex queries. The COVID-19 pandemic has further accelerated the adoption of digital platforms for exam setting, introducing new modes of assessment. However, alongside the benefits, these advancements also raise concerns regarding the effective assessment of students in alignment with educational curricula. At Lancaster University Ghana, both students and lecturers utilize AI tools for teaching and learning purposes. The problem, however, is that sometimes these tools are unethically utilized by students for academic success, especially with tasks that students are required to research and produce, thereby making it difficult for students to be effectively assessed. This paper aims to explore strategies for the effective assessment of students in the AI era, addressing the challenges posed by AI technologies. A comprehensive review of relevant literature in higher education has been conducted, with the findings offering critical insights for educators in navigating these challenges.

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