An Empirical Study of Teaching Methodologies and Learning Outcomes for Online and in-class Networking Course Sections
Pouyan Ahmadi, Khondkar Islam. Salman Yousaf

TL;DR
This study compares online and in-class networking course outcomes at GMU, analyzing assessment data and demographics to understand factors influencing student performance and success in different learning environments.
Contribution
It provides an empirical analysis of student performance across online and in-class sections, considering demographic influences and assessment outcomes.
Findings
Remarkable differences in student success between online and face-to-face sections
Demographics such as exam type and location preferences influence performance
Assessment outcomes vary significantly across different teaching methodologies
Abstract
To enhance student learning, we demonstrate an experimental study to analyze student learning outcomes in online and in-class sections of a core data communications course of the Undergraduate IT program in the Information Sciences and Technology (IST) Department at George Mason University (GMU). In this study, student performance is evaluated based on course assessments. This includes home and lab assignments, skill-based assessment, and traditional midterm exam across all 4 sections of the course. All sections have analogous content, assessment plan and teaching methodologies. Student demographics such as exam type and location preferences that may play an important role in their learning process are considered in our study. We had to collect vast amount of data from the learning management system (LMS), Blackboard (BB) Learn, in order to compare and study the results of several…
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Taxonomy
TopicsOnline Learning and Analytics · Online and Blended Learning · Experimental Learning in Engineering
