Opportunities and Challenges in Harnessing Digital Technology for Effective Teaching and Learning
arXiv:2512.10777 · doi:10.3390/higheredu4010006
Abstract
Most of today's educators are in no shortage of digital and online learning technologies available at their fingertips, ranging from Learning Management Systems such as Canvas, Blackboard, or Moodle, online meeting tools, online homework, and tutoring systems, exam proctoring platforms, computer simulations, and even virtual reality/augmented reality technologies. Furthermore, with the rapid development and wide availability of generative artificial intelligence (GenAI) services such as ChatGPT, we are just at the beginning of harnessing their potential to transform higher education. Yet, facing the large number of available options provided by cutting-edge technology, an imminent question on the mind of most educators is the following: how should I choose the technologies and integrate them into my teaching process so that they would best support student learning? We contemplate over these types of important and timely questions and share our reflections on evidence-based approaches to harnessing digital learning tools using a Self-regulated Engaged Learning Framework we have employed in our research in physics education that can be valuable for educators in other disciplines.
References in corpus (13)
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- Developing and Researching PhET simulations for Teaching Quantum Mechanics
- Could an Artificial-Intelligence agent pass an introductory physics course?
- Physics task development of prospective physics teachers using ChatGPT
- Exploring Generative AI assisted feedback writing for students' written responses to a physics conceptual question with prompt engineering and few-shot learning
- How do physics students evaluate artificial intelligence responses on comprehension questions? A study on the perceived scientific accuracy and linguistic quality
- Performance of ChatGPT on the Test of Understanding Graphs in Kinematics
- Can an AI-tool grade assignments in an introductory physics course?
- Exploring the relation between students' online learning behavior and course performance by including contextual information in data analysis
- Holistic framework to help students learn effectively from research-validated self-paced learning tools
- Cheat sites and artificial intelligence usage in online introductory physics courses: what is the extent and what effect does it have on assessments?
- Physics lab courses under digital transformation: A tri-national survey among university lab instructors about the role of new digital technologies and learning objectives
- Toward more accurate measurement of the impact of online instructional design on students' ability to transfer physics problem-solving skills