Implementing Individualized Learning in a Legacy Learning Management System A Feasibility Prototype for an Online Statistics Course

Main Article Content

M. Earnest Morrow
Dabae Lee


Educators are being encouraged to shift their instructional paradigm from teacher-centered to learner-centered through the use of technology. For online courses, legacy learning management products originally designed to support and deliver teacher-centered instruction may represent a constraint to implementing the learner-centered paradigm. Yet, replacement of these systems presents a formidable hurdle to educators wishing to initiate learner-centered online courses. This hurdle could be lowered significantly by a transitional approach that allows learner-centered strategies to be delivered within the framework of existing learning management systems. This paper describes our efforts to prototype such a transitional approach for an online statistics course. Pedagogical and technological objectives were successfully achieved by combining the technologies of the Sharable Content Object Reference Model (SCORM), a legacy learning management system, and a standalone course authoring tool to deliver an example course demonstrating adaptive, competency-based student progress instruction that personalizes one’s learning path with topic-contingent assessment feedback.

Article Details

How to Cite
Morrow, M., & Lee, D. (2019). Implementing Individualized Learning in a Legacy Learning Management System. International Journal of Designs for Learning, 10(1), 131-144.
Author Biographies

M. Earnest Morrow, Sam Houston State University

M. Earnest Morrow is completing an educational doctorate (EdD) in Instructional Systems Design and Technology at Sam Houston State University after retiring from an extensive career in information technology management at a major multinational corporation. Mike’s objective is to redirect his experience in technology and corporate management practices to issues in the field of Computer Science Education. The subject of his dissertation concerns quantitative analysis of a cardsorting instrument for the assessment of computational thinking skills acquisition in a higher education setting.


Dabae Lee, Emporia State University

Dabae Lee is an assistant professor of Instructional Technology at Emporia State University. She teaches undergraduate and graduate courses in instructional technology, program evaluation, and research methods. Her research interests include personalized learning, student collaboration in learner-centered instructional methods, roles of technology in learner-centered paradigm, active learning spaces, and research methods in Instructional Technology.