Opportunities and Challenges in Harnessing Digital Technology for Effective Teaching and Learning

Opportunities and Challenges in Harnessing Digital Technology for Effective Teaching and Learning
Notice: This research summary and analysis were automatically generated using AI technology. For absolute accuracy, please refer to the [Original Paper Viewer] below or the Original ArXiv Source.

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.


💡 Research Summary

The rapid evolution of digital technology has fundamentally reshaped the landscape of modern higher education. Today, educators have unprecedented access to a vast array of digital tools, ranging from established Learning Management Systems (LMS) like Canvas, Blackboard, and Moodle, to advanced technologies such as Virtual Reality (VR), Augmented Reality (AR), and sophisticated computer simulations. The recent emergence of Generative Artificial Intelligence (GenAI), exemplified by ChatGPT, presents a transformative opportunity to redefine instructional methodologies and the very nature of academic interaction.

However, this technological abundance brings a significant pedagogical challenge: the “paradance of choice.” As the number of available cutting-edge options increases, educators are increasingly faced with a daunting dilemma: how to navigate this overwhelming landscape to select the most effective tools and how to integrate them into their teaching processes to optimize student learning outcomes. The risk is that technology might become a distraction rather than a facilitator if not implemented with a clear pedagogical purpose.

This paper addresses this critical dilemma by moving beyond the mere adoption of technology toward a strategic, evidence-based integration. The authors present reflections on how to navigate the overwhelming landscape of EdTech by utilizing a “Self-regulated Engaged Learning Framework.” Originally developed and refined through research in physics education, this framework provides a structured approach to technology selection and implementation. The core philosophy of the framework lies in prioritizing learner-centric outcomes—specifically, how technology can facilitate self-regulated learning and deepen student engagement.

Rather than focusing on the novelty or technical features of the tools themselves, the paper emphasizes the importance of an evidence-based approach. It argues that the integration of digital tools should be driven by their ability to support cognitive processes and student agency. By applying the principles of the Self-regulated Engaged Learning Framework, the authors demonstrate that technology should serve as a bridge to enhance the learner’s ability to monitor, regulate, and engage with complex academic content. While the framework’s roots are in physics education, the authors assert its broad applicability across various academic disciplines, providing a vital guide for educators seeking to transform digital abundance into meaningful pedagogical progress.


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