
This research investigated the perceived impact of Artificial Intelligence (AI) tools on the academic productivity of students in higher education. The primary purpose was to evaluate how AI tools influence learning efficiency, time management, academic performance, and the overall student experience. A quantitative descriptive research design was employed, utilizing a structured online survey questionnaire administered to students. It revealed a high adoption rate of AI tools in higher education, with reported daily or several times-a-week usage, and ChatGPT, Grammarly, and Quillbot identified as the most prevalent. Students overwhelmingly perceive AI tools as beneficial for enhancing time management, reducing repetitive tasks, improving academic performance, and facilitating deadline management. Despite acknowledged ethical concerns, students strongly recommend AI tools, particularly for managing heavy workloads. AI tools significantly enhance various facets of student academic productivity, serving as valuable aids for learning and task management. However, their integration necessitates thoughtful pedagogical approaches and clear institutional policies to mitigate potential risks and foster balanced skill development
Artificial Intelligence, AI in Education, Student Productivity, Academic Performance, Ethical Concerns, Higher Education, Constructivist Learning Theory
Artificial Intelligence, AI in Education, Student Productivity, Academic Performance, Ethical Concerns, Higher Education, Constructivist Learning Theory
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
