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Hadi Pourmousa; Erkan Oktay; Üstün Özen; Neda Alipour – International Journal of Technology in Education, 2025
Technology has revolutionized education by completely changing the processes of acquiring and sharing information, which are the most important foundations of education. Technology has led to many significant changes, such as increased access and scope, personalized learning, improved interaction and collaboration, diversification of learning…
Descriptors: College Students, Technology Uses in Education, Student Attitudes, Influence of Technology
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Hanni Flaherty; Christine Vyshedsky; Charles Auerbach – Journal of the Scholarship of Teaching and Learning, 2025
Engaging in anti-oppressive, evidence-based practice in the social work field demands preparation for research methods during social work education. However, while faculty members at institutions of higher education have access to more technology than ever before and teach graduate students who use technology constantly in their personal lives,…
Descriptors: Statistical Analysis, Computer Software, Technology Uses in Education, Social Work
Thomas M. Semko – ProQuest LLC, 2023
This quantitative study investigated the relationship between teacher self-efficacy, maximizing decision-making tendencies, and utilization of educational technology resources. The study utilized the Teacher Sense of Self-Efficacy Scale (TSES), the Maximizing Tendency Scale (MTS-7), and teacher use of educational technology surveys to determine if…
Descriptors: Educational Technology, Technology Uses in Education, Self Efficacy, Decision Making
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Billion, Lara Kristina – EURASIA Journal of Mathematics, Science and Technology Education, 2022
This paper focuses on the actions of learners on digital and analogue materials while dealing with a statistical problem. To investigate the learners' actions, a semiotic perspective of mathematical learning according to C. S. Peirce is used, since in this perspective learning mathematics is described as visible activities on diagrams. Through a…
Descriptors: Semiotics, Mathematics Instruction, Grade 3, Elementary School Students
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Napol Rachatasumrit; Paulo F. Carvalho; Kenneth R. Koedinger – International Educational Data Mining Society, 2024
What does it mean for a model to be a better model? One conceptualization, indeed a common one in Educational Data Mining, is that a better model is the one that fits the data better, that is, higher prediction accuracy. However, oftentimes, models that maximize prediction accuracy do not provide meaningful parameter estimates, making them less…
Descriptors: Data Analysis, Models, Prediction, Accuracy
Ulrich, Monika – ProQuest LLC, 2023
The National Council of Teachers of Mathematics (NCTM), has made an effort to increase the use of technology and the use of calculators into the classroom and curriculum. As a result, many studies and articles have been written on the subject of calculator use in the classroom. A review of over 600 studies revealed that it is not curricula that…
Descriptors: Calculators, Educational Technology, Technology Uses in Education, Mathematics Education
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Jeffery Buckley – Journal of Technology Education, 2024
Ensuring a credible literature base is essential for all research fields. One element of this relates to the replicability of published work, which is the probability that the results of an original study would replicate in an independent investigation. A critical feature of replicable research is that the sample size of a study is sufficient to…
Descriptors: Technology Education, Researchers, Educational Research, Sample Size
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Nadide Yilmaz – LUMAT: International Journal on Math, Science and Technology Education, 2023
In this study, technology-enhanced statistical problem-solving tasks designed by pre-service teachers (PTs) were examined. The PTs designed 28 tasks. The designed tasks were analyzed within the context of the Considerations for Design and Implementation of Statistics Tasks (C-DIST) components. It was revealed that the tasks were mostly designed…
Descriptors: Preservice Teachers, Problem Solving, Data, Educational Technology
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Christopher J. Casement; Laura A. McSweeney – Journal of Statistics and Data Science Education, 2024
As the use of data in courses that incorporate statistical methods has become more prevalent, so has the need for tools for working with such data, including those for data creation and adjustment. While numerous tools exist that support faculty who teach statistical methods, many are focused on data analysis or theoretical concepts, and there…
Descriptors: Statistics Education, Data Science, Educational Technology, Computer Software
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Buckley, Jeffrey; Hyland, Tomás; Seery, Niall – International Journal of Technology and Design Education, 2023
Technology education research is a growing field, with the rate of growth increasing over the last 2 decades. As the field grows, it is paramount that credibility is maintained in published findings. To date there is no evidence to suggest a lack trust is warranted, however in the midst of the replication crisis there is need to ensure continued…
Descriptors: Technology Education, Educational Research, Replication (Evaluation), Credibility
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John J. Posillico; David J. Edwards – Industry and Higher Education, 2024
Purpose: Higher education curriculum development in the construction industry has historically received scant academic attention and often, courses/programmes are largely developed using the tacit knowledge of individual tutors. This research investigates the core interpersonal and technical skills and competencies required of a contemporary…
Descriptors: Physical Environment, Construction Management, Higher Education, Curriculum Development
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Silvia Heubach; Tuyetdong Phan-Yamada – Journal of Statistics and Data Science Education, 2025
We describe a hands-on project in which students collect data on the impact of distracted driving on driver reaction time. Initially they do this in class via a virtual driving applet, using themselves and fellow students as test subjects. Different applet versions simulate driving with and without distraction and measure the time it takes to…
Descriptors: Statistics, Relevance (Education), Student Projects, Experiential Learning
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Papadimitropoulou, Katerina; Riley, Richard D.; Dekkers, Olaf M.; Stijnen, Theo; le Cessie, Saskia – Research Synthesis Methods, 2022
Meta-analysis is a widely used methodology to combine evidence from different sources examining a common research phenomenon, to obtain a quantitative summary of the studied phenomenon. In the medical field, multiple studies investigate the effectiveness of new treatments and meta-analysis is largely performed to generate the summary (average)…
Descriptors: Effect Size, Meta Analysis, Evidence, Medicine
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Widén, Gunilla; Ahmad, Farhan; Nikou, Shahrokh; Ryan, Bruce; Cruickshank, Peter – Journal of Information Literacy, 2021
This paper focuses information literacy (IL) from a methodological perspective, addressing quantitative IL measures, suitable for evaluating the role of IL in supporting work activities. So far, IL in workplace contexts has mostly been studied using qualitative methods, designed for studying situational and context-dependent practices. Therefore…
Descriptors: Information Literacy, Workplace Learning, Test Construction, Evaluation Methods
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Mubarak, Ahmed Ali; Ahmed, Salah A. M.; Cao, Han – Interactive Learning Environments, 2023
In this study, we propose a MOOC Analytic Statistical Visual model (MOOC-ASV) to explore students' engagement in MOOC courses and predict their performance on the basis of their behaviors logged as big data in MOOC platforms. The model has multifunctions, which performs on visually analyzing learners' data by state-of-the-art techniques. The model…
Descriptors: MOOCs, Learner Engagement, Performance, Student Behavior
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