Five Learning Theories for Impactful Teaching

This post is provided by guest blogger, Jocelyn Lupercio, graduate student at the University of St. Francis in Joliet, MBA program.

The article by Wake Forest University explains instructional design through five learning theories to create effective teaching strategies. It establishes a clear distinction between instructional design versus curriculum. Highlighting that instructional design is the how portion of learning, such as the methods and strategies of learning. The article specifically focuses on ADDIE, Merrill’s Principles of Instruction, Gagne’s Nine Events of Instruction, Bloom’s Taxonomy, and Backward Design (UbD). The article dives into each learning model highlighting the purpose, core principles, implementation and how each learning model supports learning.

The article appears to be well constructed and thoughtful as it uses widely recognized learning theories to explain instructional design and effective teaching strategies. However, this appears to be an introductory article offering a broad overview of the connection between instructional design to create an effective learning environment. The article could offer a larger comprehensive overview by referencing studies offering supporting data on how the learning theories have successfully impacted learners.

Top 5 instructional design methods for effective teaching. Wake Forest University. (n.d.). https://sps.wfu.edu/articles/instructional-design-methods/

The Opportunities of GenAI in Higher Education

This post is provided by guest blogger, Jocelyn Lupercio, graduate student at the University of St. Francis in Joliet, MBA program.

This article on the NIH website highlights the current transformation GenAI is having on higher education. The use of GenAI in higher education has become so conventional that now more than half of students report using GenAI and much of that use being undetected by educators. While GenAI has created new concerns in higher education, GenAi also offers a range of opportunities for personalized learning and the expansion of access to knowledge. The article frames GenAI as a need for gradual transformation to ensure that human centered values remain at the forefront of higher education

While the article offers opportunities for GenAI in higher education and highlights the significance of institutional responsibility, the suggestions offer limited details, evidence and data and remain very conceptual. The discussion could be strengthened by evidence derived from case studies and offering the student perspective as well.

Reference

Sejdiu, N. P., & Sejdiu, S. (2025). The quiet transformation of higher education in the AI era. Open Research Europe, 5, 249.