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Showing 1 to 15 of 17 results Save | Export
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Fan, Yizhou; Rakovic, Mladen; van der Graaf, Joep; Lim, Lyn; Singh, Shaveen; Moore, Johanna; Molenaar, Inge; Bannert, Maria; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Many learners struggle to productively self-regulate their learning. To support the learners' self-regulated learning (SRL) and boost their achievement, it is essential to understand the cognitive and metacognitive processes that underlie SRL. To measure these processes, contemporary SRL researchers have largely utilized think aloud or…
Descriptors: Learning Strategies, Self Management, Protocol Analysis, Data Analysis
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Storm, Colin H.; Penner, Anna – Communication Teacher, 2023
Students typically find research methods and statistics classes intimidating. In particular, learning different types of data measurement and operationalization can take significant time and practice to understand. Utilizing a pedagogical approach that turns a party game into a fun exercise, students collaboratively learn to operationalize…
Descriptors: Research Methodology, Statistics, Game Based Learning, Educational Games
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Wan, Tong – International Journal of Science Education, 2023
Measurement uncertainty is a key topic in the university physics laboratory curriculum. In this study, we investigate students' ability to draw conclusions from measurement data and reasoning about measurement uncertainty in inquiry labs. This investigation centres around a task where students conclude whether measurements from two experiments…
Descriptors: Measurement, Physics, College Science, Science Laboratories
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Swenson, Sandra; He, Yi; Boyd, Heather; Good, Kate Schowe – Journal of College Science Teaching, 2022
Students reasoning with data in an authentic science environment had the opportunity to learn about the process of science and the world around them while developing skills to analyze and interpret self-collected and secondhand data. Our results show that nearly 50% of the treatment group responses were accurate when describing the reason for…
Descriptors: Design, Heuristics, Data Analysis, Data Interpretation
Complete College America, 2023
Measurement systems give colleges a structure for collecting, sharing, and acting on data. The guidebook and tools presented here help faculty, staff, college leadership, and policymakers understand and use measurement systems--and specifically use data to improve completion rates, close institutional performance gaps, and facilitate economic…
Descriptors: Measurement, Guides, College Faculty, College Administration
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Williamson, Ben – British Journal of Educational Technology, 2019
Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial…
Descriptors: Foreign Countries, Higher Education, Technology Uses in Education, Data Analysis
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Viswanathan, Sree Aurovindh; VanLehn, Kurt – IEEE Transactions on Learning Technologies, 2018
Effective collaboration between student peers is not spontaneous. A system that can measure collaboration in real-time may be useful, as it could alert an instructor to pairs that need help in collaborating effectively. We tested whether superficial measures of speech and user interface actions would suffice for measuring collaboration. Pairs of…
Descriptors: Cooperative Learning, Data Collection, Data Analysis, Speech Communication
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Phares, Alain J.; Durnin, John H. – Technology, Instruction, Cognition and Learning, 2016
Dimensional Analysis (DA) is shown to play a pivotal role in the teaching of Science, Technology, Engineering and Mathematics (STEM). This article summarizes the basic rules and corollaries of DA and addresses (1) the importance of using DA with mathematical functions; (2) how to use DA in a science/engineering laboratory based discovery approach;…
Descriptors: STEM Education, Laboratories, Discovery Learning, Teaching Methods
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Gunnell, Katie E.; Wilson, Philip M.; Zumbo, Bruno D.; Mack, Diane E.; Crocker, Peter R. E. – Measurement in Physical Education and Exercise Science, 2012
The researchers examined if scores from the original Psychological Need Satisfaction in Exercise Scale (Wilson, Rogers, Rodgers, & Wild, 2006) were invariant from a modified version specific to physical activity and then examined measurement invariance of scores across groups on the modified scale. Three groups were examined: (a) Students/staff…
Descriptors: Psychological Needs, Physical Activities, Structural Equation Models, Factor Structure
Thorndike, Robert M.; Thorndike-Christ, Tracy M. – Pearson, 2010
In this classic introduction to educational and psychological measurement, Thorndike and Thorndike-Christ provide all of the pertinent information future professionals need to know in order to develop the skills to use test information wisely. Incorporating standard measurement concepts as they apply to both educational and psychological…
Descriptors: Measurement, Student Evaluation, Psychology, Educational Assessment
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Skolnick, Paul; Shaw, Jerry I. – Psychological Reports, 1970
Descriptors: College Students, Data Analysis, Measurement, Personality Theories
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Brown, Larry T. – Journal of Educational Psychology, 1972
Experiments report the retionale and outcome of the endeavor to develop a measure of the exploratory or curiosity value of reading materials which might help pave the way for the experimental analysis of factors underlying reading interest. (Author/CB)
Descriptors: College Students, Curiosity, Data Analysis, Measurement
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Hollender, John – Journal of Genetic Psychology, 1973
The hypothesis that self-esteem is positively correlated with parental identification was supported for female college students by two out of three self-esteem measures. For male subjects one social self-esteem measure correlated negatively with maternal identification and a self-concept measure correlated positively. No relationship between…
Descriptors: College Students, Data Analysis, Identification (Psychology), Measurement
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