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Bag, Sudin; Aich, Payel; Islam, Md. Aminul – Journal of Applied Research in Higher Education, 2022
Purpose: The aim of the study is to examine the intention of students toward the online education system with emphasis on online examination in higher education. The study investigated different constructs that have an influence on the use of the online platform for learning to the specific domain that mitigates the personal needs of the learners…
Descriptors: Intention, Student Attitudes, College Students, Online Courses
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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
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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
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Timmers, Caroline F.; Braber-van den Broek, Jannie; van den Berg, Stephanie M. – Computers & Education, 2013
Feedback can only be effective when students seek feedback and process it. This study examines the relations between students' motivational beliefs, effort invested in a computer-based formative assessment, and feedback behaviour. Feedback behaviour is represented by whether a student seeks feedback and the time a student spends studying the…
Descriptors: Computer Assisted Testing, Beliefs, Student Attitudes, Learner Engagement
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Chen, Jing; White, Sheida; McCloskey, Michael; Soroui, Jaleh; Chun, Young – Assessing Writing, 2011
This study investigated the comparability of paper and computer versions of a functional writing assessment administered to adults 16 and older. Three writing tasks were administered in both paper and computer modes to volunteers in the field test of an assessment of adult literacy in 2008. One set of analyses examined mode effects on scoring by…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Educational Technology
Pless, Anica – ProQuest LLC, 2010
Test anxiety creates problems for many students, and can have a negative impact on the academic performance of many who suffer from it (Jones & Petruzzi, 1995). Typical treatment components for test anxiety involve psychoeducation, relaxation training, gradual exposure, cognitive restructuring, study skills training, and relapse prevention.…
Descriptors: Feedback (Response), Study Skills, Test Anxiety, Control Groups
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Nelson, Melissa M.; Schunn, Christian D. – Instructional Science: An International Journal of the Learning Sciences, 2009
Although providing feedback is commonly practiced in education, there is no general agreement regarding what type of feedback is most helpful and why it is helpful. This study examined the relationship between various types of feedback, potential internal mediators, and the likelihood of implementing feedback. Five main predictions were developed…
Descriptors: Feedback (Response), Peer Evaluation, Correlation, Predictor Variables
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McCann, Ann L. – Assessment & Evaluation in Higher Education, 2010
A case study was conducted in 2006-07 to explore how one US campus implemented a centralised e-assessment system. The study specifically measured the extent of adoption by faculty members, identified their reasons for adoption and evaluated the impact on teaching and learning. The purposes of the system, entitled researching learning (REAL, a…
Descriptors: Educational Technology, Technology Integration, Databases, Case Studies
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Wieling, M. B.; Hofman, W. H. A. – Computers & Education, 2010
To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach? In a between-subjects…
Descriptors: Feedback (Response), Grade Point Average, Predictor Variables, Lecture Method
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Alexander, Cara J.; Crescini, Weronika M.; Juskewitch, Justin E.; Lachman, Nirusha; Pawlina, Wojciech – Anatomical Sciences Education, 2009
The goals of our study were to determine the predictive value and usability of an audience response system (ARS) as a knowledge assessment tool in an undergraduate medical curriculum. Over a three year period (2006-2008), data were collected from first year didactic blocks in Genetics/Histology and Anatomy/Radiology (n = 42-50 per class). During…
Descriptors: Feedback (Response), Medical Education, Audience Response, Genetics
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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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Kay, Robin H.; Knaack, Liesel – Canadian Journal of Learning and Technology, 2009
The purpose of this study was to examine individual differences in attitudes toward Audience Response Systems (ARSs) in secondary school classrooms. Specifically, the impact of gender, grade, subject area, computer comfort level, participation level, and type of use were examined in 659 students. Males had significantly more positive attitudes…
Descriptors: Audience Response, Gender Differences, Secondary School Students, Feedback (Response)
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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers