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Showing 1 to 15 of 149 results Save | Export
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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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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
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D'Souza, Kelwyn A.; Siegfeldt, Denise V. – Decision Sciences Journal of Innovative Education, 2017
Selecting the right methodology to use for detecting cheating in online exams requires considerable time and effort due to a wide variety of scholarly publications on academic dishonesty in online education. This article offers a cheating detection framework that can serve as a guideline for conducting cheating studies. The necessary theories and…
Descriptors: Identification, Cheating, Computer Assisted Testing, Testing Problems
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Ranger, Jochen; Kuhn, Jörg Tobias; Ortner, Tuulia M. – Educational and Psychological Measurement, 2020
The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels--one for the responses and one for the response times--that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a…
Descriptors: Reaction Time, Tests, Statistical Distributions, Models
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Eglington, Luke G.; Pavlik, Philip I., Jr. – Journal of Educational Data Mining, 2019
In recent years, there has been a proliferation of adaptive learner models that seek to predict student correctness. Improvements on earlier models have shown that separate predictors for prior successes, failures, and recent performance further improve fit while remaining interpretable. However, students who engage in "gaming" or other…
Descriptors: College Students, Student Behavior, Models, Goodness of Fit
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2019
In recent years, there has been a proliferation of adaptive learner models that seek to predict student correctness. Improvements on earlier models have shown that separate predictors for prior successes, failures, and recent performance further improve fit while remaining interpretable. However, students who engage in "gaming" or other…
Descriptors: College Students, Student Behavior, Models, Goodness of Fit
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Booth, Dawn Karen – English Language Education, 2018
This book explores the influence of high stakes standardised testing within the context of South Korea. South Korea is regarded as a shining example of success in educational achievement and, as this book reveals, pressurised standardised testing has been a major contributing factor to its success. This unique country provides an excellent setting…
Descriptors: High Stakes Tests, Standardized Tests, Academic Achievement, Correlation
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Dillon, Thomas; Wells, Donald – English Teaching, 2021
This study utilized Automated Speech Recognition technology to determine the potential utility and acceptance of such technology in the English as a Foreign Language classroom. Learners were made aware of the Automatic Speech Recognition potential of their mobile devices and provided with some direction in, and incentive for, its use. Participants…
Descriptors: Pronunciation Instruction, Audio Equipment, Second Language Learning, Second Language Instruction
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Aust, Frederik; Haaf, Julia M.; Stahl, Christoph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Evaluative conditioning (EC) is a change in liking of neutral conditioned stimuli (CS) following pairings with positive or negative stimuli (unconditioned stimulus, US). A dissociation has been reported between US expectancy and CS evaluation in extinction learning: When CSs are presented alone subsequent to CS-US pairings, participants cease to…
Descriptors: Memory, Conditioning, Decision Making, Learning Processes
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Sessoms, John; Finney, Sara J. – International Journal of Testing, 2015
Because schools worldwide use low-stakes tests to make important decisions, value-added indices computed from test scores must accurately reflect student learning, which requires equal test-taking effort across testing occasions. Evaluating change in effort assumes effort is measured equivalently across occasions. We evaluated the longitudinal…
Descriptors: Testing, Measurement, Models, Change
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Barry, Carol L.; Finney, Sara J. – Applied Measurement in Education, 2016
We examined change in test-taking effort over the course of a three-hour, five test, low-stakes testing session. Latent growth modeling results indicated that change in test-taking effort was well-represented by a piecewise growth form, wherein effort increased from test 1 to test 4 and then decreased from test 4 to test 5. There was significant…
Descriptors: Change, Motivation, College Students, Models
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Castela, Marta; Erdfelder, Edgar – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The recognition heuristic (RH) theory predicts that, in comparative judgment tasks, if one object is recognized and the other is not, the recognized one is chosen. The memory-state heuristic (MSH) extends the RH by assuming that choices are not affected by recognition judgments per se, but by the memory states underlying these judgments (i.e.,…
Descriptors: Memory, Heuristics, Recognition (Psychology), Hypothesis Testing
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Carbone, Dominic J. – Community College Journal of Research and Practice, 2018
The present study attempted to explore if learning is as effective in the web-based platform as it is in the traditional or web-enhanced modalities. Unlike prior studies that measured learning using course grades and subjective student reporting, this study used an empirical method to develop a valid and reliable measure of learning. Data from 346…
Descriptors: College Students, Introductory Courses, Psychology, Learning Modalities
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Noll, Jennifer; Kirin, Dana – Statistics Education Research Journal, 2017
Teaching introductory statistics using curricula focused on modeling and simulation is becoming increasingly common in introductory statistics courses and touted as a more beneficial approach for fostering students' statistical thinking. Yet, surprisingly little research has been conducted to study the impact of modeling and simulation curricula…
Descriptors: Statistics, Introductory Courses, Models, Teaching Methods
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Vardarli, Bade; Özyürek, Ragip; Wilkins-Yel, Kerrie G.; Tracey, Terence J. G. – International Journal for Educational and Vocational Guidance, 2017
The structural validity of the Personal Globe Inventory-Short (PGI-S: Tracey in J Vocat Behavi 76:1-15, 2010) was examined in a Turkish sample of high school and university students. The PGI-S measures eight basic interest scales, Holland's ("Making vocational choice," Prentice-Hall, Englewood Cliffs, 1997) six types, Prediger's ("J…
Descriptors: Foreign Countries, Vocational Interests, Interest Inventories, Models
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