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Hoffman, Daniel L.; Furutomo, Faye; Eichelberger, Ariana; McKimmy, Paul – Innovative Higher Education, 2023
Many models of online student engagement posit a "more is better" relationship between students' course-related actions and their engagement. However, recent research indicates that the timing of engagement is also an important consideration. In addition to the frequency (how often) of engagement, two other constructs of timing were…
Descriptors: Learner Engagement, Online Courses, Asynchronous Communication, Time Factors (Learning)
Goode, Elizabeth; Nieuwoudt, Johanna Elizabeth; Roche, Thomas – Australasian Journal of Educational Technology, 2022
One Australian public university is radically changing the way it delivers higher education, introducing a 6-week immersive scheduling delivery model across all units and courses. Despite the emerging success of block and immersive models for raising the performance of diverse student cohorts, the design factors underpinning positive outcomes are…
Descriptors: Electronic Learning, Online Courses, Learning Modules, Synchronous Communication
Lee, Jeonghyun; Soleimani, Farahnaz; Irish, India; Hosmer, John, IV; Soylu, Meryem Yilmaz; Finkelberg, Roy; Chatterjee, Saurabh – Online Learning, 2022
In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…
Descriptors: Online Courses, Models, Thinking Skills, Computer Mediated Communication
Ozogul, Gamze; Zhu, Meina; Phillips, Tanner M. – Online Learning, 2022
Online instructional design and how to engage students cognitively in online asynchronous courses have been an ongoing question. This case study presents an intentional design of an asynchronous online graduate course to foster cognitive presence. The research questions investigate students' cognitive presence (CP) captured by two measures:…
Descriptors: Group Discussion, Computer Mediated Communication, Predictor Variables, Instructional Design
Lin Lu – ProQuest LLC, 2021
Online learning is one of the fastest growing trends in education. A practical problem faced by instructional designers and online instructors is how to design an interactive learning activity that benefits content mastery without adding technological barriers. The online discussion forum provides quick solutions because it is usually ready for…
Descriptors: Role Theory, Self Management, Asynchronous Communication, Persuasive Discourse
Kuo, Yu-Chun; Belland, Brian R.; Schroder, Kerstin E. E.; Walker, Andrew E. – Distance Education, 2014
Blended learning is an effective approach to instruction that combines features of face-to-face learning and computer-mediated learning. This study investigated the relationship between student perceptions of three types of interaction and blended learning course satisfaction. The participants included K-12 teachers enrolled in a graduate-level…
Descriptors: Blended Learning, Interaction, Educational Technology, Satisfaction
Boston, Wally; Diaz, Sebastian R.; Gibson, Angela M.; Ice, Phil; Richardson, Jennifer; Swan, Karen – Journal of Asynchronous Learning Networks, 2009
As the growth of online programs continues to rapidly accelerate, concern over retention is increasing. Models for understanding student persistence in the face-to-face environment are well established, however, the many of the variables in these constructs are not present in the online environment or they manifest in significantly different ways.…
Descriptors: Student Records, Predictor Variables, Correlation, Student Surveys
McNulty, John A.; Sonntag, Beth; Sinacore, James M. – Anatomical Sciences Education, 2009
Web-based computer-aided instruction (CAI) has become increasingly important to medical curricula. This multi-year study investigated the effectiveness of CAI and the factors affecting level of individual use. Three CAI were tested that differed in specificity of applicability to the curriculum and in the level of student interaction with the CAI.…
Descriptors: Medical Students, Cognitive Style, Computer Assisted Instruction, Student Surveys