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Gomez, David R.; Swann, William; Willms Wohlwend, Mary; Spong, Stephanie – Journal of Computing in Higher Education, 2023
This case study examines the adaptation of an existing online, asynchronous faculty development resource at the University of New Mexico to support the unanticipated need for all instructors to teach remotely starting in spring 2020, due to the COVID-19 pandemic. The course--entitled Evidence-Based Practices for Teaching Online (EBPTO)--was…
Descriptors: Online Courses, Faculty Development, College Faculty, Distance Education
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Xie, Youru; Huang, Yuling; Luo, Wenjing; Bai, Yucheng; Qiu, Yi; Ouyang, Ziru – Journal of Computing in Higher Education, 2023
The interaction between teachers and students is vital for promoting teaching quality. Online learning spaces have various features that can support teacher-student interaction in online learning contexts. In this study, a preliminary model was developed by analyzing the principles underlying the interaction between teachers and students and the…
Descriptors: Design, Teacher Student Relationship, Educational Quality, Online Courses
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Hew, Khe Foon; Huang, Weijiao; Du, Jiahui; Jia, Chengyuan – Journal of Computing in Higher Education, 2023
Although fully online learning is now the 'new normal' in many parts of the world, its implementation is often beset by challenges such as the lack of student self-regulation, and the sense of isolation. In this paper, we explored the use of chatbots to support student goal setting (Study 1) and social presence (Study 2) in online activities. In…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Goal Orientation, Electronic Learning
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Wong, Joseph T.; Hughes, Bradley S. – Journal of Computing in Higher Education, 2023
Higher education may benefit from investigating alternative evidence-based methods of online learning to understand students' learning behaviors while considering students' social cognitive motivational traits. Researchers conducted an in situ design-based research (DBR) study to investigate learner experience design (LXD) methods, deploying…
Descriptors: Undergraduate Students, Learning Motivation, Student Behavior, Learning
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Wong, Billy Tak-ming; Li, Kam Cheong; Cheung, Simon K. S. – Journal of Computing in Higher Education, 2023
This paper presents an analysis of learning analytics practices which aimed to achieve personalised learning. It addresses the need for a systematic analysis of the increasing amount of practices of learning analytics which are targeted at personalised learning. The paper summarises and highlights the characteristics and trends in relevant…
Descriptors: Learning Analytics, Individualized Instruction, Context Effect, Stakeholders
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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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Watson, William R.; Watson, Sunnie Lee; Koehler, Adrie A.; Oh, Kyung Ha – Journal of Computing in Higher Education, 2023
Using a mixed methods design, this study examines graduate students' perceptions of attitudinal learning regarding the use of case-based learning (CBL) methods in an online instructional design course. One hundred and thirty-three students completed a survey taken from the Attitudinal Learning Inventory (ALI) in weeks three and seven of the…
Descriptors: Student Characteristics, Profiles, Student Attitudes, Case Method (Teaching Technique)
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Zheng, Lanqin; Zhen, Yuanyi; Niu, Jiayu; Zhong, Lu – Journal of Computing in Higher Education, 2022
Programming skills have gained increasing attention in recent years because digital technologies have become an indispensable part of life. However, little is known about the roles of fade-in and fade-out scaffolding in online collaborative programming settings. To close this research gap, the present study aims to examine the roles of fade-in and…
Descriptors: Programming, Scaffolding (Teaching Technique), Skill Development, Undergraduate Students
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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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Richardson, Jennifer C.; Caskurlu, Secil; Castellanos-Reyes, Daniela; Duan, Suzhen; Duha, Mohammad Shams Ud; Fiock, Holly; Long, Yishi – Journal of Computing in Higher Education, 2022
This multiple case study explores how instructors conceptualize and employ scaffolding in online courses. Participants included full time faculty (n = 4) who have designed and taught at least one online course within the past 12 months. Data sources included pre-interview surveys, semi-structured interviews, and online course observations. Data…
Descriptors: Electronic Learning, Scaffolding (Teaching Technique), Online Courses, Higher Education
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Castillo-Hernández, Francisco-José; Jiménez-Liso, María-Rut; Couso, Digna – Journal of Computing in Higher Education, 2022
In a previous study we detected that a number of inquiry stages (data collection, analysis and conclusions) went unnoticed by the students of an in situ joint online/onsite master's degree via online teaching. In this paper we analyse the effect of improved instruction, in which students fully experienced and became aware of all the stages that…
Descriptors: Masters Programs, Online Courses, Instructional Improvement, Inquiry
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Hachey, Alyse C.; Conway, Katherine M.; Wladis, Claire; Karim, Shirsti – Journal of Computing in Higher Education, 2022
Even prior to the COVID-19 pandemic, online learning had become a fundamental part of post-secondary education. At the same time, empirical evidence from the last decade documents higher dropout online in comparison to face-to-face courses for some students. Thus, while online learning may provide students access to post-secondary education,…
Descriptors: Undergraduate Students, Student Characteristics, Demography, Online Courses
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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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Bekmanova, Gulmira; Ongarbayev, Yerkin; Somzhurek, Baubek; Mukatayev, Nurlan – Journal of Computing in Higher Education, 2021
The main goal of this research is to improve the personification of learning in higher education. The proposed flexible model for organizing blended and distance learning in higher education involves the creation of an individual learning path through testing students before the start of training. Based on the learning outcomes, the student is…
Descriptors: Individualized Instruction, Blended Learning, Lifelong Learning, Distance Education
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Abbitt, Jason T.; Boone, William J. – Journal of Computing in Higher Education, 2021
This article presents the results of evaluating a dataset collected with the Community of inquiry (CoI) survey (Arbaugh, The International Review of Research in Open and Distributed Learning 9:1-21, 2008) using Rasch psychometric techniques to evaluate instrument functioning. Data were collected over a two-year period yielding a sample of 704…
Descriptors: Communities of Practice, Student Surveys, Item Response Theory, Psychometrics
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