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Monllaó Olivé, David; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – Journal of Computing in Higher Education, 2020
Both educational data mining and learning analytics aim to understand learners and optimise learning processes of educational settings like Moodle, a learning management system (LMS). Analytics in an LMS covers many different aspects: finding students at risk of abandoning a course or identifying students with difficulties before the assessments.…
Descriptors: Identification, At Risk Students, Potential Dropouts, Online Courses
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Rizvi, Saman; Rienties, Bart; Rogaten, Jekaterina; Kizilcec, René F. – Journal of Computing in Higher Education, 2020
Studies on engagement and learning design in Massive Open Online Courses (MOOCs) have laid the groundwork for understanding how people learn in this relatively new type of informal learning environment. To advance our understanding of how people learn in MOOCs, we investigate the intersection between learning design and the temporal process of…
Descriptors: Online Courses, Learning Processes, Science Education, Learner Engagement
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Fernández-Chamorro, Vanessa; Pamplona, Sonia; Pérez-Fructuoso, María José – Journal of Computing in Higher Education, 2020
This study analyzes the relationship between the entry path to a degree and the prior statistical competence of students taking a Statistics and Probability course at an online university. We assessed students' prior knowledge by administering a pretest of the information covered in the course analyzed. The sample includes 108 students from…
Descriptors: Prior Learning, Statistics, Virtual Universities, College Students
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Aldowah, Hanan; Al-Samarraie, Hosam; Alzahrani, Ahmed Ibrahim; Alalwan, Nasser – Journal of Computing in Higher Education, 2020
Massive open online courses (MOOCs) are among the latest e-learning initiative that have gained a wide popularity among many universities. Student dropout in MOOCs is a major concern in the higher education and policy-making communities. Most student dropout is caused by factors outside the institution's control. In this study, a multiple-criteria…
Descriptors: Online Courses, College Students, Electronic Learning, Dropout Rate
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Liu, Min; Zou, Wenting; Shi, Yi; Pan, Zilong; Li, Chenglu – Journal of Computing in Higher Education, 2020
Literature on MOOCs has shown that understanding learners' perspectives in taking MOOCs is critical if a MOOC needs to be successful. Now that MOOCs have been in wide use, in this study we took an updated look at learners' perspective of taking MOOCs designed for working professionals and course aspects that these MOOC participants found…
Descriptors: Online Courses, Student Attitudes, Professional Development, Professional Occupations
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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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Simonova, Ivana – Journal of Computing in Higher Education, 2019
Blended design of teaching/learning foreign languages, in this case English grammar, has become widely spread within the higher education. The main objective of the article is to discover whether blended approach enhances the process of acquiring new knowledge in the field. The research was conducted at two institutions: faculty of informatics and…
Descriptors: Blended Learning, English (Second Language), Second Language Learning, Second Language 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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Morris, Bradley J.; Dragovich, Colleen; Todaro, Rachael; Balci, Sebiha; Dalton, Eve – Journal of Computing in Higher Education, 2019
Digital badges (i.e., digital credentials for achievements) have been suggested as a useful and scalable implementation of gamification. Digital badges (hereafter "badges") provide two potential supports for learning: (1) badges provide support for motivation by rewarding achievement and (2) badges provide implicit learning goals. The…
Descriptors: Credentials, Computer Uses in Education, Academic Achievement, Independent Study
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Baldwin, Sally J.; Ching, Yu-Hui – Journal of Computing in Higher Education, 2019
This study examines users' perceptions of an online course design checklist. We created the Online Course Design Checklist (OCDC) to help highlight very basic criteria that may improve the quality of online courses. The OCDC highlights criteria that should not be ignored during online course development. It is based on components of established…
Descriptors: Online Courses, Check Lists, Instructional Design, Educational Quality
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Berry, Sharla – Journal of Computing in Higher Education, 2019
In this qualitative case study, the researcher draws on interviews with 13 faculty in an online doctoral program to find out how professional development offerings strengthened distance instructors' technical, pedagogical and content knowledge. Findings suggest that guided practice sessions in the virtual classroom strengthened newer faculty…
Descriptors: Faculty Development, Distance Education, Online Courses, Case Studies
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Dumford, Amber D.; Miller, Angie L. – Journal of Computing in Higher Education, 2018
As the popularity of online education continues to rise, many colleges and universities are interested in how to best deliver course content for online learners. This study explores the ways in which taking courses through an online medium impacts student engagement, utilizing data from the National Survey of Student Engagement. Data was analyzed…
Descriptors: Electronic Learning, Higher Education, Educational Benefits, Learner Engagement
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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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Klein, James D.; Mendenhall, Anne – Journal of Computing in Higher Education, 2018
The purpose of this paper is to describe a case study conducted to examine the application of Merrill's First Principles of Instruction ("Educ Technol Res Dev" 50(3):43-59, 2002, "First principles of instruction," Pfeiffer, San Francisco, 2012) to determine how they were implemented during a fast-paced project that required the…
Descriptors: Professional Development, Case Studies, Instructional Design, Online Courses
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Lowell, Victoria L.; Ashby, Iryna V. – Journal of Computing in Higher Education, 2018
Instructional designers (IDs) frequently collaborate with subject matter experts, peer IDs, and other professionals (Intentional Futures 2016). Such collaboration often requires an exchange of feedback on design plans and work completed with and for others, as well as self-assessment of one's own skills and work during the design process…
Descriptors: Instructional Design, Feedback (Response), Online Courses, Mixed Methods Research
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