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Donald Secreast – CEA Forum, 2023
"Using Sentiment Analysis to Ease Students toward or around Macroanalysis" introduces teachers to the mathematical analytical method currently being promoted by Matthew Jockers which he calls macroanalysis. This method uses an algorithm called "R," originally designed by researchers in sociology. In many ways, macroanalysis…
Descriptors: Literary Criticism, Statistical Analysis, Algorithms, Computer Uses in Education
Jing Huang; Yujie Hu – Journal of Geography in Higher Education, 2025
This systematic review examines the empirical research conducted in the past decade to investigate the application of immersive Virtual Reality (IVR) in geography higher education. Our analysis includes 29 empirical studies published across 25 peer-reviewed articles and delves into IVR applications from four key perspectives: the temporal and…
Descriptors: Computer Simulation, Computer Uses in Education, Geography Instruction, College Instruction
Ng, Hien Fuh; Ngeow, Yun Fong – Biochemistry and Molecular Biology Education, 2022
Relative quantification is a popular analysis in gene expression studies using quantitative real-time PCR (qPCR). However, the calculation steps using the major algorithms for this analysis are rather complicated. In this study, we developed an easy-to-use spreadsheet-based method for relative quantification. The inputs from end-users are the…
Descriptors: Genetics, Statistical Analysis, Computation, Mathematics
Allen, Peter J.; Fielding, Jessica L.; Westermann, Annabel H.; Lafratta, Amelia M. – Teaching of Psychology, 2022
Background: Allen, Fielding, East, et al. demonstrated experimentally that structural awareness, or the ability to disregard a research problem's topic and instead focus on its structural features, can be trained using StatHand (https://stathand.net). Most training benefits persisted for 1 week. Objective: The objective was to assess the…
Descriptors: Statistical Analysis, Statistics Education, Instructional Effectiveness, Selection
Zhao, Siqian; Wang, Chunpai; Sahebi, Shaghayegh – International Educational Data Mining Society, 2020
Students acquire knowledge as they interact with a variety of learning materials, such as video lectures, problems, and discussions. Modeling student knowledge at each point during their learning period and understanding the contribution of each learning material to student knowledge are essential for detecting students' knowledge gaps and…
Descriptors: Learning, Knowledge Level, Models, Instructional Materials
van Dijke-Droogers, Marianne; Drijvers, Paul; Bakker, Arthur – Educational Studies in Mathematics, 2021
Digital technology is indispensable for doing and learning statistics. When technology is used in mathematics education, the learning of concepts and the development of techniques for using a digital tool are known to intertwine. So far, this intertwinement of techniques and conceptual understanding, known as instrumental genesis, has received…
Descriptors: Statistics Education, Statistical Analysis, Computer Uses in Education, Concept Formation
Arnholt, Alan T. – Teaching Statistics: An International Journal for Teachers, 2019
Understanding and computing power and the relationship between sample size and power are facilitated via a Shiny app. The Shiny app allows students to solve various scenarios by entering different parameters or moving sliders.
Descriptors: Statistical Analysis, Sample Size, Computer Oriented Programs, Mathematics Instruction
Rode, Jacob B.; Ringel, Megan M. – Teaching of Psychology, 2019
The current study examines whether R or SPSS output induces greater initial anxiety in students and whether anxiety toward one or both changes after being taught one type of software output throughout the course. The authors each taught an introductory statistics course, with the first course (n = 43) teaching R output exclusively and the second…
Descriptors: Statistical Analysis, Computer Software, Computer Uses in Education, Introductory Courses
El-Zayaty, Nady – International Journal on E-Learning, 2018
Open and Distance Learning (ODL) has become an increasingly popular platform for delivering education the world over. The acceptance of ODL as a viable alternative to traditional brick and mortar educational institutes has been a topic of debate however. Furthermore, many questions have been raised about the different levels of interest…
Descriptors: Student Attitudes, Foreign Countries, Electronic Learning, Online Courses
Cadoret, Geneviève; Bigras, Nathalie; Lemay, Lise; Lehrer, Joanne; Lemire, Julie – Early Child Development and Care, 2018
The objective of this longitudinal study was to examine the relationship between screen time (ST) and children's motor proficiency. The amount of time 113 children spent watching television, using a computer, and playing video games as reported by parents at ages 4, 5, and 7 was measured and children's motor skills were evaluated at age 7 with the…
Descriptors: Psychomotor Skills, Television Viewing, Computer Use, Video Games
García-Umaña, Andrés; Tirado-Morueta, Ramón – Journal of New Approaches in Educational Research, 2018
The increase in the use of information technologies encompasses all educational and social issues, even changing intergenerational skills. It is considered that the most conditioned to this effect are adolescents and young people. This research is a literary review of various studies on addiction and Internet abuse and presents relevant results of…
Descriptors: Internet, Correlation, Statistical Analysis, Information Technology
Gülay Ogelman, Hülya; Güngör, Hande; Körükçü, Özlem; Erten Sarkaya, Hatice – Early Child Development and Care, 2018
The primary objective of this study is to determine the predictive effect of technology use durations of 5-6 year-old children on their social skill levels and social status. In this study, children's technology usage is restricted to the use of television, portable computers, tablets and smartphones. The sample group of the study consisted of 162…
Descriptors: Young Children, Interpersonal Competence, Social Status, Television
Brower, Rebecca L.; Bertrand Jones, Tamara; Osborne-Lampkin, La'Tara; Hu, Shouping; Park-Gaghan, Toby J. – Grantee Submission, 2019
Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…
Descriptors: Qualitative Research, Data, Change, Barriers
Yang, Hui-Ling; Wu, Wei-Pang – International Journal of Information and Communication Technology Education, 2017
This study investigated the online flow frequency among college students in regard to different internet activities, and analyzed the effect of flow frequency on internet addiction. This study surveyed 525 undergraduate internet users in Taiwan by using convenience sampling to question participants. In this paper, analysis of variance (ANOVA) was…
Descriptors: Internet, Addictive Behavior, Undergraduate Students, Computer Use
Chen, Zhi-Hong; Chou, Chih-Yueh; Tseng, Shu-Fen; Su, Ying-Chu – Educational Technology & Society, 2018
Although feedback from interface agents has recently attracted increasing research attention, most studies emphasize the cognitive influences. Thus, the effect of each feedback type on student perception remains unclear. This study focuses on three types of feedback from interface agents to clarify student perception of single feedback and…
Descriptors: Feedback (Response), Student Attitudes, Two Year College Students, Psychological Patterns