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Showing 1 to 15 of 33 results Save | Export
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Manasa Devi, Mortha; Seetha, Maddala; Viswanadha Raju, Somalaraju – Journal of Computing in Higher Education, 2021
Automated text detection and analysis holds incredible potential for research in higher education. It is challenging because higher education institutes produce an enormous amount and variety of texts, letters, articles, books, reports etc. Futuristic E-learning based education replaces the difficulty of understanding the semantic meaning of the…
Descriptors: Online Courses, Higher Education, Video Technology, Educational Technology
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Seo, Young-Jin; Um, Ki-Hyun – Journal of Computing in Higher Education, 2023
The present study aims to conceptualize service quality and perceived value in the context of blended learning by redefining and modifying the existing SERVQUAL model, reviewing prior marketing literature on perceived value, and examining the relationships between service quality, perceived value, and student satisfaction. The sample was…
Descriptors: Blended Learning, Value Judgment, Program Effectiveness, Student Satisfaction
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Ünal Çakiroglu; Mehmet Kokoç; Melek Atabay – Journal of Computing in Higher Education, 2024
This profiling study deals with the self-regulated learning skills of online learners based on their interaction behaviors on the learning management system. The learners were profiled through their interaction behaviors via cluster analysis. Following a correlational model with the interaction data of learners, the post-test questionnaire data…
Descriptors: Foreign Countries, Undergraduate Students, Teacher Education Programs, Educational Technology
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Karen Sutherland; Ginna Brock; Margarietha. J. de Villiers Scheepers; Prudence M. Millear; Sherelle Norman; Tim Strohfeldt; Terri Downer; Nicole Masters; Alison. L. Black – Journal of Computing in Higher Education, 2024
Blended Learning (BL) as a pedagogical approach has increased in significance during the COVID-19 pandemic, with blended and online learning environments becoming the new digital norm for higher educational institutions around the globe. While BL has been discussed in the literature for thirty years, a common approach has been to categorise…
Descriptors: Blended Learning, COVID-19, Pandemics, Online Courses
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Pozón-López, Irma; Higueras-Castillo, Elena; Muñoz-Leiva, Francisco; Liébana-Cabanillas, Francisco J. – Journal of Computing in Higher Education, 2021
The aim of the present work is to contribute to the study of use intention for technologies related to the increasingly popular massive open online courses (MOOCs). Informed by a scientific literature review, the work proposes a behavioral model to explain use intention via various constructs. The results of the analysis verify the effect of user…
Descriptors: Large Group Instruction, Online Courses, Intention, Educational Technology
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Yamagata-Lynch, Lisa C.; Garty, Erin R.; Hostetter, Stephanie Teague; Lunga, Makhosazana L. – Journal of Computing in Higher Education, 2022
In this qualitative study, we engaged in a narrative inquiry to examine what graduate students in an online service-learning course grappled with while learning about professional ethics in instructional technology. This study took place in a service-learning partnership between community partners, students, and the course instructor. Students in…
Descriptors: Ethics, Online Courses, Professionalism, Graduate Students
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Sáiz-Manzanares, María Consuelo; Marticorena-Sánchez, Raúl; Rodríguez-Díez, Juan José; Rodríguez-Arribas, Sandra; Díez-Pastor, José Francisco; Ji, Yi Peng – Journal of Computing in Higher Education, 2021
Monitoring students in Learning Management Systems (LMS) throughout the teaching--learning process has been shown to be a very effective technique for detecting students at risk. Likewise, the teaching style in the LMS conditions, the type of student behaviours on the platform and the learning outcomes. The main objective of this study was to test…
Descriptors: Integrated Learning Systems, Teaching Methods, Instructional Effectiveness, Electronic Learning
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MacLeod, Jason; Yang, Harrison Hao; Shi, Yinghui – Journal of Computing in Higher Education, 2019
Student-to-student connectedness is promoted by active, student-centered learning processes. It is a socio-psychological result of interpersonal communication and behavior in the classroom, which emulates belonging, cohesiveness, and supportiveness among peers. Currently, two survey instruments exist--Dwyer et al.'s (Commun Res Rep 21(3):264-272,…
Descriptors: Peer Relationship, College Students, Computer Mediated Communication, Educational Technology
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Tawfik, Andrew A.; Reeves, Todd D.; Stich, Amy E.; Gill, Anila; Hong, Chenda; McDade, Joseph; Pillutla, Venkata Sai; Zhou, Xiaoshu; Giabbanelli, Philippe J. – Journal of Computing in Higher Education, 2017
Similar to other online courses, massive open online courses (MOOCs) often rely on learner-learner interaction as a mechanism to promote learning. However, little is known at present about learner-learner interaction in these nascent informal learning environments. While some studies have explored MOOC participant perceptions of learner-learner…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Leach, Matthew; Hadi, Syed Munib – Journal of Computing in Higher Education, 2017
Much is made of the diversity for MOOCs learners--with their varied motivations and interests; yet MOOCs are often run and judged on the assumption that learners would progress through the course in its entirety, to completion. This paper presents an analysis of three recently delivered MOOCs that were designed to support a broader set of learner…
Descriptors: Online Courses, Microteaching, Higher Education, Large Group Instruction
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Kuo, Yu-Chun; Belland, Brian R. – Journal of Computing in Higher Education, 2019
This study was conducted to investigate the relationship between African American adult students' computer, Internet, and academic self-efficacy, and their attitudes toward computers, in technology-supported environments. The study examined whether computer and Internet self-efficacy differed between students with high and low levels of user…
Descriptors: African American Students, Adult Students, Self Efficacy, Technological Literacy
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Khalil, Mohammad; Ebner, Martin – Journal of Computing in Higher Education, 2017
Massive Open Online Courses (MOOCs) are remote courses that excel in their students' heterogeneity and quantity. Due to the peculiarity of being massiveness, the large datasets generated by MOOC platforms require advanced tools and techniques to reveal hidden patterns for purposes of enhancing learning and educational behaviors. This publication…
Descriptors: Large Group Instruction, Online Courses, Technology Uses in Education, Educational Technology
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Bodily, Robert; Ikahihifo, Tarah K.; Mackley, Benjamin; Graham, Charles R. – Journal of Computing in Higher Education, 2018
We have designed, developed, and implemented a student-facing learning analytics dashboard in order to support students as they learn in online environments. There are two separate dashboards in our system: a content recommender dashboard and a skills recommender dashboard. The content recommender helps students identify gaps in their content…
Descriptors: Data Collection, Data Analysis, Online Courses, Educational Technology
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Gay, Glenda H. – Journal of Computing in Higher Education, 2016
Online instructors in higher education play a key role in the success or failure of electronic learning systems (ELSs). Their expertise in and use of technology tools in ELSs influence the quality of information presented, their system use and satisfaction during course delivery. This study adapted Holsapple and Lee-Post's ("Decis Sci J Innov…
Descriptors: College Faculty, Online Courses, Electronic Learning, Educational Technology
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Xiong, Yao; So, Hyo-Jeong; Toh, Yancy – Journal of Computing in Higher Education, 2015
The main purpose of this study was to develop an instrument that assesses university students' perceived readiness for computer-supported collaborative learning (CSCL). Assessment in CSCL research had predominantly focused on measuring "after-collaboration" outcomes and "during-collaboration" behaviors while…
Descriptors: Test Construction, College Students, Readiness, Computer Assisted Instruction
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