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Pi, Zhongling; Tang, Manrong; Yang, Jiumin – Interactive Learning Environments, 2022
This study tested whether seeing others' typed messages while viewing video lectures affected learners' attention and learning performance. Participants viewed one of three versions of a video lecture: (a) conventional video lecture as control; (b) video lecture with others' programmed messages appearing onscreen when the instructor was giving…
Descriptors: Video Technology, Lecture Method, Computer Mediated Communication, Attention Control
March, Laura; Arnsberg, Emily; Melo, Marijel – Journal of Learning Spaces, 2022
Libraries across the world have increasingly established makerspaces and incorporated making-related activities into their programming. Yet little is known about how this proliferation translates digitally. In response, this study uncovers how libraries construct virtual representations of makers and makerspaces through their social media content…
Descriptors: Libraries, Shared Resources and Services, Social Media, Content Analysis
Deng, Liping; Liu, Yan; Ku, Kelly Yee Lai; Lin, Lin – College Teaching, 2022
Although multitasking with laptops and mobile phones has become endemic on university campuses, we still don't have adequate understanding of this phenomenon. There is especially a lack of qualitative studies offering detailed and rich description of how and why students multitask. This exploratory study provides a nuanced understanding of…
Descriptors: Attention Control, Handheld Devices, Laptop Computers, Student Experience
White, Jason J. G. – Journal of Science Education for Students with Disabilities, 2022
In using software to write a scientific, technical, or other scholarly document, authors have essentially two options. They can either write it in a 'what you see is what you get' (WYSIWYG) editor such as a word processor, or write it in a text editor using a markup language such as HTML, LATEX, Markdown, or AsciiDoc. This paper gives an overview…
Descriptors: Computer Software, Writing (Composition), Technical Writing, Programming Languages
Firoozi, Tahereh; Bulut, Okan; Epp, Carrie Demmans; Naeimabadi, Ali; Barbosa, Denilson – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) using neural networks has helped increase the accuracy and efficiency of scoring students' written tasks. Generally, the improved accuracy of neural network approaches has been attributed to the use of modern word embedding techniques. However, which word embedding techniques produce higher accuracy in AES systems…
Descriptors: Computer Assisted Testing, Scoring, Essays, Artificial Intelligence
Peteros, Emerson D.; de Vera, John V.; Laguna, Cristy G.; Lapatha, Viotelino Christian B., IV; Mamites, Irene O.; Astillero, Jeffrey C. – World Journal on Educational Technology: Current Issues, 2022
Smartphones are widely used among high school students nowadays. With their constant use of this technology, they have become more dependent on it. This study assessed the extent of smartphone utilisation and the academic performance of the 195 junior high school students at a public national high school. Respondents were identified using…
Descriptors: Telecommunications, Handheld Devices, Junior High School Students, Mathematics Achievement
Abdul Hanid, Mohd Fadzil; Mohamad Said, Mohd Nihra Haruzuan; Yahaya, Noraffandy; Abdullah, Zaleha – Education and Information Technologies, 2022
In this article, researchers conducted a study that integrates Augmented Reality application with Computational Thinking into Geometry Topics. Three variables were measured, Computational Thinking, Visualisation Skills and Geometry Topic achievement. The study was implemented with 124 students in two different schools using quasi-experimental…
Descriptors: Computer Simulation, Computation, Thinking Skills, Geometry
Chen, Clement; Jones, Keith T.; Lawrence, Mark; Simpson, Jill M. – Quarterly Review of Distance Education, 2022
This article discusses the necessity of using technology for exam proctoring in an era of increasing growth in online course delivery. The article discusses a recent generational trend affecting the rationalization leg of the "fraud triangle" generally used to model the conditions typically present in fraud, then discusses some…
Descriptors: Computer Assisted Testing, Technology Uses in Education, Supervision, Online Courses
Oeding, Jill M. – Quarterly Review of Distance Education, 2022
One of the primary findings from this study is the importance of watching the exam proctoring videos for online, remotely proctored exams. Proctors do not need to be experts in academic dishonesty to detect the misconduct. The key to detecting academic dishonesty is to closely monitor the examinee's eyes, know the eyes' position when the examinee…
Descriptors: Prevention, Identification, Cheating, Ethics
Mentzer, Kevin; Galante, Zachary; Frydenberg, Mark – Information Systems Education Journal, 2022
Organizations are keenly interested in data gathering from websites where discussions of products and brands occur. This increasingly means that programmers need an understanding of how to work with website application programming interfaces (APIs) for data acquisition. In this hands-on lab activity, students will learn how to gather data from…
Descriptors: Prediction, Competition, Music, Data Analysis
Zhou, Yun; Xu, Tao; Yang, Han; Li, Shiqian – IEEE Transactions on Learning Technologies, 2022
Existing research on spatial ability recognizes the critical role played by spatial visualization and mental rotation. Recent evidence suggests that external visualization and manipulation can boost spatial thinking. The virtual environment provides an exciting opportunity so that many spatial ability training tasks based on reading printed…
Descriptors: Spatial Ability, Visualization, Computer Simulation, Training
Poolman, Toryn M.; Townsend-Nicholson, Andrea; Cain, Amanda – Biochemistry and Molecular Biology Education, 2022
The final year of a biochemistry degree is usually a time to experience research. However, laboratory-based research projects were not possible during COVID-19. Instead, we used open datasets to provide computational research projects in metagenomics to biochemistry undergraduates (80 students with limited computing experience). We aimed to give…
Descriptors: Genetics, Undergraduate Students, Biological Sciences, Internet
Padli, Padli; Mardela, Romi; Yendrizal, Yendrizal – Cypriot Journal of Educational Sciences, 2022
This study aims to find out the level of students' hitting skills and student responses after using ball-hitting skills. This type of research is a mixed method with an explanatory model. The sampling technique used was purposive sampling with a sample of 30 students who were active and contracted in the cricket courses. Before collecting data,…
Descriptors: Athletics, Psychomotor Skills, Computer Assisted Testing, College Students
Hassan, Ruheela – E-Learning and Digital Media, 2022
With the introduction of personal computer systems and subsequent technologies that make flow of information fast and efficient, a new age emerged that is often termed as 'digital age' or 'digital era'. During this age, the capabilities of individuals and societies to access and use multiple forms of convergent media content got enhanced manifold.…
Descriptors: Foreign Countries, Access to Computers, Journalism, Internet
Mo, Daniel Y.; Tang, Yuk Ming; Wu, Edmund Y.; Tang, Valerie – Education and Information Technologies, 2022
Electronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students' learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students' study weaknesses to develop strategies for teaching…
Descriptors: Higher Education, Computer Assisted Testing, Models, Student Attitudes

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