Exploring the impact of artificial intelligence on teaching and learning in higher education
By Stefan A. D. Popenici, Sharon Kerr. Research and Practice in Technology Enhanced Learning, 2017
1,531 citations recorded by the source corpus.
This paper explores the phenomena of the emergence of the use of artificial intelligence in teaching and learning in higher education. It investigates educational implications of emerging technologies on the way students learn and how institutions teach and evolve. Recent technological advancements and the increasing speed of adopting new technologies in higher education are explored in order to predict the future nature of higher education in a world where artificial intelligence is part of the fabric of our universities. We pinpoint some challenges for institutions of higher education and student learning in the adoption of these technologies for teaching, learning, student support, and administration and explore further directions for research.
Subfields: Computer Science Applications
View Paper: https://www.semanticscholar.org/paper/117d8f1b33bfbedea1070a2df11b3b0bdda848d8
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In Computer Science Applications
Citations in the corpus
- Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century (2021, background): “Additionally, the AI algorithms are designed by programmers and developed by companies or governments and they can include their own agendas or biases in their development stages [26].”
- The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education? (2023, positive): “As pointed out by Popenici & Kerr (2017), AI poses a particular threat to university staff and teaching assistants primarily responsible for administrative duties.”
- The impact of artificial intelligence on learner–instructor interaction in online learning (2021, background): “…intelligence (AI) in online learning and teaching are broad (Anderson et al., 1985; Baker, 2016; Roll et al., 2018; Seo et al., 2020b; VanLehn, 2011), ranging from personalized learning for students and automation of instructors’ routine tasks to AI-powered assessments (Popenici & Kerr, 2017).”
- Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education (2023, neutral): “This has led to a growing interest in exploring innovative solutions that can enhance the learning experience and outcomes for students in these fields and beyond [4].”
- Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019, background): “…Deep Mind for $400 million, and also non-profit public-private partnerships such as the German Research Centre for Artificial Intelligence1 (DFKI), it is very likely that this wave of interest will soon have a significant impact on higher education institutions (Popenici & Kerr, 2017).”
- Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling (2020, background): “AI is expected to help a lot to the students, teachers, administrative staffs and researchers and thus, there is a need to take help of AI in higher education (Menon et al. 2014; Stefan and Sharon 2017).”
- Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions (2021, background): “In other words, through skills development and collaborative learning [30], AI and ML can enhance customised learning [2].”