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Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
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Henrietta Carbonel; Angelo Belardi; Jen Ross; Jean-Michel Jullien – Online Learning, 2025
The shift to distance education during the COVID-19 pandemic highlighted the potential and preference of online learners for remote assessment. Yet, concerns about academic integrity, especially with tools like ChatGPT, prompted a reevaluation of remote evaluation methods. Universities responded by returning to on-campus exams or relying on…
Descriptors: Distance Education, Computer Assisted Testing, Student Motivation, Integrity
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Stemp, Jason D.; Ghosh, Debannita; Khan, Urooj R.; Boyd, James H. – Online Learning, 2022
Training and development programs are increasingly delivered online with numerous studies reporting no differences in learning outcomes between online and traditional learning. However, there are no established standardized methods to evaluate the effectiveness of online learning. This review aims to map the state of research around health-related…
Descriptors: Evaluation Methods, Health Education, Electronic Learning, Literature Reviews
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Garrison, D. R. – Online Learning, 2022
The article begins with a review of the shared metacognition construct and its function within the Community of Inquiry theoretical framework. The primary focus of the shared metacognition construct is the role of learners to take responsibility and control for monitoring and managing learning in a community of inquiry. Pragmatic challenges are…
Descriptors: Metacognition, Communities of Practice, Barriers, Teaching Methods
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Zikai Zhou; Sharon Rouse – Online Learning, 2024
Student satisfaction is a key performance indicator in evaluating any degree program's performance. In light of the vast difference between online and traditional degree programs, factors that may significantly affect student satisfaction and thus contribute to the success of online degree programs still need to be explored. Previous literature on…
Descriptors: Models, Evaluation Methods, Online Courses, Student Satisfaction
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Heil, Joana; Ifenthaler, Dirk – Online Learning, 2023
Online assessment is defined as a systematic method of gathering information about a learner and learning processes to draw inferences about the learner's dispositions. Online assessments provide opportunities for meaningful feedback and interactive support for learners as well as possible influences on the engagement of learners and learning…
Descriptors: Computer Assisted Testing, Higher Education, Literature Reviews, College Students
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Morgan, Kelsey; Adams, Erin; Elsobky, Teresa; Darr, Amber; Brackbill, Marcia – Online Learning, 2021
The COVID-19 pandemic required academic institutions to quickly transition to online learning and make changes to assessment procedures. This study examines how a school of pharmacy creatively approached the challenge of online assessment while maintaining the standards necessary to prepare practice-ready student pharmacists. To conduct…
Descriptors: Computer Assisted Testing, Pharmaceutical Education, COVID-19, Pandemics
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Mehall, Scott – Online Learning, 2020
Despite extensive studies surrounding the topic of interaction in online learning, faculty are often still relegated to an attempt at replicating their face-to-face course interactions in the online environment. Interpersonal interaction is a necessary yet nebulous concept in online learning. This paper attempts to build a quality lens to view…
Descriptors: Interaction, Online Courses, Educational Technology, Interpersonal Relationship
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Baldwin, Sally J.; Trespalacios, Jesús – Online Learning, 2017
Chickering and Gamson's (1987) "Seven Principles for Good Practice in Undergraduate Education" offers extensively researched and validated tenets for best practices in higher education. After a review of the literature, twenty-eight evaluation instruments currently used to design and review online courses in higher education institutions…
Descriptors: Online Courses, Best Practices, Evaluation Methods, Undergraduate Study
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Quintana, Rebecca M.; Tan, Yuanru – Online Learning, 2019
We explore new tools and methods for learning designers and researchers to characterize pedagogical approaches that are applied to the design of MOOCs. This paper makes three main contributions to literature on MOOC design and evaluation: (1) an Expanded Assessing MOOC Pedagogies instrument for use by learning designers and researchers within…
Descriptors: Large Group Instruction, Online Courses, Instructional Design, Teaching Methods
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Zhu, Meina; Bonk, Curtis J.; Sari, Annisa R. – Online Learning, 2018
As massive open online courses (MOOCs) increase, the large scale and heterogeneity of MOOC participants bring myriad significant design challenges. This exploratory mixed methods study explores 143 MOOC instructors' considerations and challenges in designing MOOCs, 12 of whom were interviewed and had their courses analyzed. The survey, interview,…
Descriptors: Large Group Instruction, Online Courses, Teacher Attitudes, Educational Technology
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Ross, Samuel R. P-J.; Volz, Veronica; Lancaster, Matthew K.; Divan, Aysha – Online Learning, 2018
It is increasingly important that higher education institutions be able to audit and evaluate the scope and efficacy of their digital learning resources across various scales. To date there has been little effort to address this need for a validated, appropriate, and simple-to-execute method that will facilitate such an audit, whether it be at the…
Descriptors: Higher Education, Audits (Verification), Electronic Learning, Educational Resources
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Chen, Baiyun; Bastedo, Kathleen; Howard, Wendy – Online Learning, 2018
The purpose of this study was to examine effective design elements for online courses in the science, technology, engineering, and mathematics (STEM) fields at a large four-year public university in southeastern United States. Our research questions addressed the influence of online design elements on students' perception of learning and learning…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, STEM Education
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Kumar, Swapna; Martin, Florence; Budhrani, Kiran; Ritzhaupt, Albert – Online Learning, 2019
The purpose of this study was to explore award-winning instructors' insights on elements of their course design that were award-winning and the differences between expert and novice online instructors. Interviews were conducted with eight award-winning online faculty members from across the United States who had received online teaching awards…
Descriptors: College Faculty, Professional Recognition, Teaching Methods, Awards
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Muller, Kristyn; Scalzo, Kim A.; Pickett, Alexandra M.; Dugan, Lawrence; Dubuc, Lisa; Simiele, Donna; McCabe, Ryan; Pelz, William – Online Learning, 2020
As participation in online learning continues to expand, higher education institutions must implement policies and procedures to ensure quality at the course, program, and institution levels. In this paper, the authors describe a process that the State University of New York (SUNY) System implemented, utilizing the OLC Quality Scorecard, to help…
Descriptors: Online Courses, Educational Quality, State Universities, Standards
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