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Cerezo, Rebeca; Bogarín, Alejandro; Esteban, María; Romero, Cristóbal – Journal of Computing in Higher Education, 2020
Content assessment has broadly improved in e-learning scenarios in recent decades. However, the e-Learning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only content, but also students' acquisition of core skills such as self-regulated learning. Our objective was to discover students'…
Descriptors: Data Analysis, Self Management, Evaluation Methods, Electronic Learning
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Shim, Sung J.; Shim, Minsuk K. – Journal of Computing in Higher Education, 2020
This study examines the effects of playfulness and anxiety as perceived by users in relation to SAP enterprise resource planning (ERP) system on users' learning of business processes and users' skills to use the system. Data was collected from a survey of college students who took a course on business process integration with ERP system where…
Descriptors: College Students, Business Administration Education, Computer Software, Planning
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Vate-U-Lan, Poonsri – Journal of Computing in Higher Education, 2020
This paper reports on the findings of a study pertaining to the psychological impact of e-learning on social network sites. The findings have resulted by means of a correlational analysis between attitude towards e-learning on social network sites and satisfaction with life of students experienced with e-learning experiences. It was based on an…
Descriptors: Student Attitudes, Electronic Learning, Social Media, Educational Technology
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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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de la Peña Esteban, F. David; Lara Torralbo, Juan A.; Lizcano Casas, David; Burgos García, María Concepción – Journal of Computing in Higher Education, 2020
Problem-solving is one of the biggest challenges that students can find in an Engineering degree. Information and communication technologies are of great use in this regard, providing learners with tools that complement their study and facilitate skills acquisition. A good strategy to enhance student motivation towards problem-solving is to use…
Descriptors: Engineering Education, Game Based Learning, Web Based Instruction, Computer Simulation
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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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Lahav, Orly; Talis, Vadim; Cinamon, Rachel Gali; Rizzo, Albert – Journal of Computing in Higher Education, 2020
The virtual interactive consulting agent system is an online virtual career center that supports freshman students in transition to higher education. This virtual counseling system, based on accumulative empirical knowledge for working students and knowledge about effective career intervention, aims to guide first-year university students in…
Descriptors: Computer Mediated Communication, Computer Assisted Instruction, College Bound Students, College Freshmen
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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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Parry, Douglas A.; le Roux, Daniel B.; Cornelissen, Laurenz A. – Journal of Computing in Higher Education, 2020
High levels of digital media use have become a feature of university lectures. While certainly capable of supporting learning outcomes, studies indicate that, when media use is off-task, it presents as a disruption, distracting both users and those around them from academic tasks. In this study an exploratory, mixed-methods assessment of a media…
Descriptors: Multimedia Instruction, Audiovisual Aids, Higher Education, Attention
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Rejón-Guardia, Francisco; Polo-Peña, Ana Isabel; Maraver-Tarifa, Guillermo – Journal of Computing in Higher Education, 2020
The international higher education system should be grounded in an educational approach in which teaching and learning methods aim to transform the student into an active agent in their learning process. The present study aims to learn how intention to use a personal learning environment based on Google applications for supporting collaborative…
Descriptors: Educational Environment, Computer Software, Internet, Active Learning
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Schwarzenberg, Pablo; Navon, Jaime; Pérez-Sanagustín, Mar – Journal of Computing in Higher Education, 2020
The flipped classroom gives students the flexibility to organize their learning, while teachers can monitor their progress analyzing their online activity. In massive courses where there are a variety of activities, automated analysis techniques are required in order to process the large volume of information that is generated, to help teachers…
Descriptors: Models, Blended Learning, Teaching Methods, Electronic Learning
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Lim, Jieun; Newby, Timothy J. – Journal of Computing in Higher Education, 2020
To explore students' use of Web 2.0 tools and their perceptions of using Web 2.0 as a personal learning environment (PLE), quantitative surveys (n = 113) and interviews (n = 12) were conducted. In the survey, we identified that students already have familiarity with using Web 2.0 tools, as well as a positive attitude toward using Web 2.0 for…
Descriptors: Preservice Teachers, Web 2.0 Technologies, Student Experience, Student Attitudes
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Cheng, Zui; Richardson, Jennifer C.; Newby, Timothy J. – Journal of Computing in Higher Education, 2020
Students' goal-setting skills are highly related to their academic learning performance and level of motivation. A review of the literature demonstrated limited research on both applicable goal-setting strategies in higher education and the support of technology in facilitating goal-setting processes. Addressing these two gaps, this study explored…
Descriptors: Recognition (Achievement), Goal Orientation, Academic Achievement, Student Motivation
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