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Tim Bogg; Phuong T. Vo – Journal of American College Health, 2024
Objective: The efficacy of effort appraisal exercise action plans was tested among underactive and inactive university students (N = 221). Methods: Students were randomized across three conditions (information, action planning, or realistic effort action planning (REAP)) and participated in psychoeducational small-group sessions. Students returned…
Descriptors: College Students, Physical Activity Level, Physical Education, Intervention
Benjamin M. Torsney; Sarah Rawls; Joseph I. Eisman; Catherine Pressimone Beckowski; Cheryl B. Torsney – Educational and Developmental Psychologist, 2025
Objective: The objective of this study was threefold: (a) to create a rubric for response complexity (RC), defined as an admixture of response length, grammatical diversity, categorisation, and sophistication; (b) to measure behavioural and cognitive engagement through students' written responses on a school-based written activity, and (c) to…
Descriptors: College Students, Learner Engagement, Responses, Difficulty Level
Huseyin Celik; Ahmet Yildirim; Evrim Unver; Caner Mavili; Ekrem Yilmaz; Ferhat Ozturk; Pinar Arpinar-Avsar; Sukru Alpan Cinemre – Measurement in Physical Education and Exercise Science, 2024
The purpose was to evaluate reliability of measurements during drop jump (DJ) and magnitude of differences in vertical jump height (VJH) when calculated using two variables: time-in-the-air and center-of-mass velocity. Thirty-seven handball players performed three single-leg and double-leg DJs on a portable force plate during two sessions. Sixteen…
Descriptors: Measurement Techniques, Psychomotor Skills, Test Reliability, Computation
Saleh Alhazbi; Afnan Al-ali; Aliya Tabassum; Abdulla Al-Ali; Ahmed Al-Emadi; Tamer Khattab; Mahmood A. Hasan – Journal of Computer Assisted Learning, 2024
Background: Measuring students' self-regulation skills is essential to understand how they approach their learning tasks in order to identify areas where they might need additional support. Traditionally, self-report questionnaires and think aloud protocols have been used to measure self-regulated learning skills (SRL). However, these methods are…
Descriptors: Learning Analytics, Independent Study, Higher Education, College Students
Phillip Dawson; Zi Yan; Anastasiya Lipnevich; Joanna Tai; David Boud; Paige Mahoney – Assessment & Evaluation in Higher Education, 2024
Feedback can be powerful, but its effects are dependent on what students do. There has been intensive research in recent years under the banner of 'feedback literacy' to understand how to help students make the most of feedback. Although there are instruments to measure feedback literacy, they largely measure perceptions and orientations rather…
Descriptors: Feedback (Response), Multiple Literacies, Measures (Individuals), Validity
Russell, Alex M.; Barry, Adam E.; Patterson, Megan S. – Journal of American College Health, 2023
Objective: Compare different strategies for measuring perceived peer alcohol use within network research. Participants: College students (N = 309). Methods Collected demographic, personal alcohol use, and egocentric network data. Hierarchical linear regression analyses predicted egos' drinking behavior (AUDIT-C scores). Results: Egos' perceptions…
Descriptors: Drinking, College Students, Alcohol Abuse, Peer Influence
Christina Mechler; David Scheer; Vera Heyl – European Journal of Special Needs Education, 2024
Attitudes towards inclusion (ATI) are regarded as an important aspect for the implementation of inclusive education. Yet, explicit measures of ATI have some limitations. Single-target implicit association tests (ST-IAT) provide an opportunity to an implicit ATI measure based on differences in reaction times. However, this can be a time-consuming…
Descriptors: Test Reliability, College Students, Inclusion, Student Attitudes
Sun, Xiaohua; Liu, Haochen; Liang, Peng – IEEE Transactions on Education, 2023
Contribution: This research designs an experimental education project of an automatic material magnetism properties measurement system. It explores how the do-it-yourself (DIY), hands-on establishment, and hardware-software integration experiment system could be leveraged to enhance the understanding of the electromagnetism theory and…
Descriptors: Magnets, Hands on Science, Technology Uses in Education, Automation
Arshad, Arooj; Ghazal, Saima; Saleem, Noshina; Hanan, Mian Ahmad; Arshad, Muhammad Haseeb – Journal of Computer Assisted Learning, 2022
Background: In this technologically advanced era, media literacy is necessary to effectively evaluate the information and understand various biases inherent in media messages. Several media literacy (ML) tools are available; however, we need generic and objective tools that can be applied to all forms of media messages. Objectives: The current…
Descriptors: Media Literacy, Foreign Countries, Measurement Techniques, Measures (Individuals)
Chauliac, Margot; Catrysse, Leen; Gijbels, David; De Maeyer, Sven; Donche, Vincent – International Journal of Social Research Methodology, 2023
Completing questionnaires is a complex task in which multiple cognitive processes play an important role. Despite critiques of the reliability of questionnaires, our research strived to gain more insight into the process of completing questionnaires by using eye-tracking. We investigated how both the question and the categories of answers were…
Descriptors: Measurement Techniques, Questionnaires, Eye Movements, Individual Differences
Davidesco, Ido; Glaser, Noah; Stevenson, Ian H.; Dagan, Or – British Journal of Educational Technology, 2023
Video lectures are commonly used in online and flipped courses, but students often find it challenging to stay engaged and retain lecture content. The current study examined to what extent the power of electroencephalography (EEG) brain activity in the theta (4-7 Hz), alpha (8-12 Hz) and beta (13-20 Hz) bands can dynamically capture fluctuations…
Descriptors: Identification, Learner Engagement, Retention (Psychology), Video Technology
Cazarez, Rosa Leonor Ulloa – Education and Information Technologies, 2022
Educational institutions abruptly implemented online higher education to cope with sanitary distance restrictions in 2020, causing an increment in student failure. This negative impact attracts the analyses of online higher education as a critical issue for educational systems. The early identification of students at risk is a strategy to cope…
Descriptors: Accuracy, Grade Prediction, Academic Achievement, Electronic Learning
Roger A. Chambers – ProQuest LLC, 2022
This study aimed to observe measurement invariance between community college students and university students in response to the Community of Inquiry (CoI) Survey instrument. Most studies of the CoI survey instruments have recorded and validated the instruments considering undergraduate or graduate students. This study sought to validate and prove…
Descriptors: Community Colleges, Inquiry, Surveys, Measurement Techniques
Schang, Andy; Dew, Matthew; Stump, Emily M.; Holmes, N. G.; Passante, Gina – Physical Review Physics Education Research, 2023
Uncertainty is an important and fundamental concept in physics education. Students are often first exposed to uncertainty in introductory labs, expand their knowledge across lab courses, and then are introduced to quantum mechanical uncertainty in upper-division courses. This study is part of a larger project evaluating student thinking about…
Descriptors: College Students, Thinking Skills, Logical Thinking, Abstract Reasoning
Talamás-Carvajal, Juan Andrés; Ceballos, Héctor G. – Education and Information Technologies, 2023
Early dropout of students is one of the bigger problems that universities face currently. Several machine learning techniques have been used for detecting students at risk of dropout. By using sociodemographic data and qualifications of the previous level, the accuracy of these predictive models is good enough for implementing retention programs.…
Descriptors: College Students, Dropout Prevention, At Risk Students, Identification