CM3009 The purpose of this study is to investigate the effects of algorithmic assistance, facilitated by AI: Sophie McDonagh Dissertation, TCD, Ireland

Introduction:
The purpose of this study is to investigate the effects of algorithmic assistance, facilitated by AI, on the academic performance of college students. The aim is to comprehensively understand how AI-driven tools impact student assignment performance in higher education settings. Integrating AI in learning environments has garnered scholarly attention, focusing on personalized student support (Luckin et al., 2016). This research contributes to understanding the effectiveness and limitations of AI in education, guiding the development of tools aligned with pedagogical goals (Van Den Beemt et al., 2019). The study’s significance lies in informing educational institutions about the potential benefits and challenges of AI-based interventions. Exploring how AI influences academic outcomes aims to provide insights into students’ experiences and perceptions, contributing to responsible and effective technology use in learning environments. Understanding the impact of algorithmic assistance is crucial for preparing students to navigate AI in the evolving landscape of education and work (Gao et al., 2020).

Literature Review and Research Question:

The growing integration of artificial intelligence (AI) in education, particularly its influence on college students’ assignment performance, is a focal point of current scholarly investigation. Recent trends show an increased adoption of AI-powered tools like chatbots, automated grading systems, and personalized tutoring platforms, presenting diverse
approaches to enhancing the educational experience. The scholarly discourse emphasizes critical issues, including the efficacy of AI in providing personalized learning experiences and debates around ethical considerations, privacy concerns, and the need for a balanced integration with traditional pedagogical methods (Luckin et al., 2016; Van Den Beemt et al., 2019).