WhatsApp Button
WhatsApp

Archives

Volume 5 Number 9 September 2019

Front Line Strategies for Improving Students Success in Online Education


Authors: Abour H. Cherif ; Gerald Adams ; Jennifer D. Harris ; Farahnaz Movahedzadeh ; Margaret Martyn ; Stefanos Gialamas
Pages: 167-176
DOI: doi.org/10.32861/rje.59.167.176
Abstract
Faculty teaching both onsite and online courses have unique insights into how each modality can be implemented most effectively for student learning.  In their online classes where students might be more likely to struggle, these faculty are continually looking for methods and strategies to help their students learn the material more effectively.  A survey was conducted with 174 faculty that teach both onsite and online to gather ideas on why online courses often have lower success than onsite courses.  While overall results of this survey are provided in “Faculty Perspectives on Narrowing the Success Gap Between Online and Onsite Learning” (Cherif et al., 2019), this study leverages the free responses provided in the survey where faculty provided details on their specific strategies to help their online students.  These strategies touched on nearly every aspect of online instruction, including course design, resources for students, student characteristics, teaching strategies, student engagement, and assessments.  By sharing these strategies, other faculty can consider what might be impactful for their online classes and students, study the impact and continue to improve online education worldwide.

Mover-Stayer Analysis of Students’ Academic Progress in Modibbo Adama University of Technology, Yola


Authors: Adams Y. J. ; Abdulkadir S. S. ; Jibasen D.
Pages: 161-166
DOI: doi.org/10.32861/rje.59.161.166
Abstract
This paper studies the pattern of students’ movement within and around the various classes of degrees in Modibbo Adama University of Technology, Yola, Nigeria. In this paper, a transition matrix was developed for the five classes of degrees using movement patterns in ten consecutive semesters (2011 – 2016). The probabilities of moving across the five different classes were obtained. Furthermore, a fundamental matrix was obtained to determine the expected number of students who stay within each particular class (stayers).