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Harun Cigdem; Umut Birkan Ozkan – Journal of Interactive Learning Research, 2024
Online formative quizzes have been shown to be an effective tool for improving students' academic achievement. This quasi-experimental study investigated the effects of students' engagement in online formative quizzes on academic achievement in an undergraduate engineering course, employing a one-group post-test research design. Participants (n =…
Descriptors: Engineering Education, Formative Evaluation, Computer Assisted Testing, Learner Engagement
Laura L. Beaton – Journal of Educational Technology Systems, 2025
Online quizzes and learning platforms provided by textbook publishers have become common components of undergraduate education. Here, I examine how participation in these formative assessments related to student course performance. Over multiple semesters, students completed either free online unlimited attempt quizzes or assignments from a…
Descriptors: Formative Evaluation, Computer Assisted Testing, Tests, Student Evaluation
Schrempft, S.; Piumatti, G.; Gerbase, M. W.; Baroffio, A. – Advances in Health Sciences Education, 2021
This study examined conscientiousness and the perceived educational environment as independent and interactive predictors of medical students' performance within Biggs' theoretical model of learning. Conscientiousness, the perceived educational environment, and learning approaches were assessed at the beginning of the third year in 268 medical…
Descriptors: Undergraduate Students, Medical Students, Educational Environment, Predictor Variables
Isaacs, Talia; Hu, Ruolin; Trenkic, Danijela; Varga, Julia – Language Testing, 2023
The COVID-19 pandemic has changed the university admissions and proficiency testing landscape. One change has been the meteoric rise in use of the fully automated Duolingo English Test (DET) for university entrance purposes, offering test-takers a cheaper, shorter, accessible alternative. This rapid response study is the first to investigate the…
Descriptors: Predictive Validity, Educational Technology, Handheld Devices, Language Tests
Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
Sense, Florian; van der Velde, Maarten; van Rijn, Hedderik – Journal of Learning Analytics, 2021
Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are…
Descriptors: Predictor Variables, Undergraduate Students, Learning Analytics, Cognitive Psychology
Dalman, Mohammadreza; Kang, Okim – International Journal of Listening, 2023
This study investigated U.S. undergraduates' perceptions of non-native speakers' (NNS) speech which had received 100% proficiency scores on the TOEFL iBT test. Fifty-five U.S. undergraduates rated 20 speech samples for comprehensibility, accentedness, and acceptability. The speech samples were also analyzed for acoustic fluency. Descriptively,…
Descriptors: Undergraduate Students, Student Attitudes, Scores, Speech Communication
Morales-Martinez, Guadalupe Elizabeth; Lopez-Ramirez, Ernesto Octavio; Mezquita-Hoyos, Yanko Norberto; Lopez-Perez, Rafael; Resendiz, Ana Yolanda Lara – European Journal of Educational Research, 2019
A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were…
Descriptors: Undergraduate Students, Engineering Education, Cheating, Computer Assisted Testing
Park, Enoch; Martin, Florence; Lambert, Richard – Quarterly Review of Distance Education, 2019
The purpose of this study was to identify the potential factors that could predict college students' success in a large-size undergraduate hybrid learning course. Predictive values of students' demographic and academic background variables were examined to establish standardized models of contribution toward final grades. Next, patterns of student…
Descriptors: Predictor Variables, Academic Achievement, Undergraduate Students, Student Participation
Rios, Joseph A.; Liu, Ou Lydia – American Journal of Distance Education, 2017
Online higher education institutions are presented with the concern of how to obtain valid results when administering student learning outcomes (SLO) assessments remotely. Traditionally, there has been a great reliance on unproctored Internet test administration (UIT) due to increased flexibility and reduced costs; however, a number of validity…
Descriptors: Online Courses, Testing, Test Wiseness, Academic Achievement
Wielicki, Tom – International Association for Development of the Information Society, 2016
This paper reports on longitudinal study regarding integrity of testing in an online format as used by e-learning platforms. Specifically, this study explains whether online testing, which implies an open book format is compromising integrity of assessment by encouraging cheating among students. Statistical experiment designed for this study…
Descriptors: Integrity, Online Courses, Statistical Surveys, Longitudinal Studies
Stafford, Tom; Elgueta, Herman; Cameron, Harriet – Research in Learning Technology, 2014
We introduced voluntary wiki-based exercises to a long-running cognitive psychology course, part of the core curriculum for an undergraduate degree in psychology. Over 2 yearly cohorts, students who used the wiki more also scored higher on the final written exam. Using regression analysis, it is possible to account for students' tendency to score…
Descriptors: Web 2.0 Technologies, Predictor Variables, Student Participation, Test Format
Hannah, John; James, Alex; Williams, Phillipa – International Journal of Mathematical Education in Science and Technology, 2014
Two first-year engineering mathematics courses used computer-aided assessment (CAA) to provide students with opportunities for formative assessment via a series of weekly quizzes. Most students used the assessment until they achieved very high (>90%) quiz scores. Although there is a positive correlation between these quiz marks and the final…
Descriptors: Computer Assisted Testing, Engineering Education, Mathematics Education, Formative Evaluation
Lee, Chun-Yi – Turkish Online Journal of Educational Technology - TOJET, 2015
Problem Statement: In recent years, many educators and researchers in the field of education have made efforts to leverage the advantages provided by online peer assessment, leading to its extensive application in a range of domains, particularly higher education. However, studies on the roles of the reviewer and author in online peer assessment…
Descriptors: Peer Evaluation, Electronic Learning, Entrepreneurship, Quasiexperimental Design
Wise, Steven L.; Pastor, Dena A.; Kong, Xiaojing J. – Applied Measurement in Education, 2009
Previous research has shown that rapid-guessing behavior can degrade the validity of test scores from low-stakes proficiency tests. This study examined, using hierarchical generalized linear modeling, examinee and item characteristics for predicting rapid-guessing behavior. Several item characteristics were found significant; items with more text…
Descriptors: Guessing (Tests), Achievement Tests, Correlation, Test Items
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