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Savi, Alexander O.; Deonovic, Benjamin E.; Bolsinova, Maria; van der Maas, Han L. J.; Maris, Gunter K. J. – Journal of Educational Data Mining, 2021
In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…
Descriptors: Learning Processes, Cognitive Processes, Error Patterns, Models
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Snekalatha, S.; Marzuk, S. Mohamed; Meshram, Swapnatai A.; Maheswari, K. Uma; Sugapriya, G.; Sivasharon, K. – Advances in Physiology Education, 2021
Medical education has gone online because of the COVID-19 pandemic. Formative assessment is essential to facilitate the learning process in medical education. However, various challenges arise during online assessment, which include reliability, when done without monitoring and practical concerns like Internet connectivity issues. This study was…
Descriptors: Medical Students, Student Attitudes, Test Reliability, Test Validity
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Baboolal-Frank, Rashri – International Journal for Educational Integrity, 2021
The COVID-19 pandemic created a situation for the implementation of emergency remote learning. This meant that as a lecturer at a traditionalist University of contact sessions, the pandemic forced us to teach remotely through online methods of communication, using online lectures, narrated powerpoints, voice clips, podcasts, interviews and…
Descriptors: Emergency Programs, Distance Education, Electronic Learning, COVID-19
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Soland, James; Kuhfeld, Megan; Rios, Joseph – Large-scale Assessments in Education, 2021
Low examinee effort is a major threat to valid uses of many test scores. Fortunately, several methods have been developed to detect noneffortful item responses, most of which use response times. To accurately identify noneffortful responses, one must set response time thresholds separating those responses from effortful ones. While other studies…
Descriptors: Reaction Time, Measurement, Response Style (Tests), Reading Tests
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Prakasha, G. S.; Hemalathaa, K. Y.; Tamizh, Ponni; Bhavna, Bhola; Kenneth, Anthony – Problems of Education in the 21st Century, 2021
Outbreak of COVID-19, online examination, and e-proctoring have caused more exam anxiety and affected exam performance among students' studying in International Baccalaureate (IB) Diploma Programme (DP). Therefore, the present research aimed to find effect of online test anxiety on academic performance of IBDP students in the subjects related to…
Descriptors: Computer Assisted Testing, Test Anxiety, Scores, Advanced Placement Programs
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Harley, Jason M.; Lou, Nigel Mantou; Liu, Yang; Cutumisu, Maria; Daniels, Lia M.; Leighton, Jacqueline P.; Nadon, Lindsey – Assessment & Evaluation in Higher Education, 2021
Although the effectiveness and experiences of computer-based examinations is a widely investigated area of research, the question of whether and how computer-based assessment limits or heightens the experience of negative test emotions remains largely unexamined. Drawing from the control-value theory of achievement emotions, we investigated…
Descriptors: Psychological Patterns, Negative Attitudes, Computer Assisted Testing, Undergraduate Students
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Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
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Jiang, Yang; Gong, Tao; Saldivia, Luis E.; Cayton-Hodges, Gabrielle; Agard, Christopher – Large-scale Assessments in Education, 2021
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…
Descriptors: Data Use, Learning Analytics, Test Items, Measurement
Hernández, Ronald M.; Cáceres, Isaac Sanchez; Zarate Hermoza, Jesús Roberto; Coronado, Daniela Medina; Loli Poma, Telmo Pablo; Arévalo Gómez, Georgina Raquel – Journal of Educational Psychology - Propositos y Representaciones, 2019
The ways in which pedagogical practices have evolved and how to understand the teaching and learning process are different. With the use of the Internet, the sources of information and evaluation are amplified, and educational agents within virtual education play an important role, reflecting on a new paradigm of learning and knowledge…
Descriptors: Educational Technology, Technology Uses in Education, Internet, Evaluation Methods
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Nikou, Stavros A.; Economides, Anastasios A. – Interactive Technology and Smart Education, 2019
Purpose: The purpose of this study is to compare the overall usability and user experience of desktop computers and mobile-devices when used in a summative assessment in the context of a higher education course. Design/methodology/approach: The study follows a between-groups design. The participants were 110 first-year undergraduate students from…
Descriptors: Computer Assisted Testing, Usability, Handheld Devices, Summative Evaluation
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Hewson, Claire; Charlton, John P. – Journal of Computer Assisted Learning, 2019
The use of e-assessment methods raises important concerns regarding the reliability and validity of these methods. Potential threats to validity include mode effects and the possible influence of computer-related attitudes. Although numerous studies have now investigated the validity of online assessments in noncourse-based contexts, few studies…
Descriptors: Computer Assisted Testing, Test Reliability, Test Validity, College Students
OECD Publishing, 2019
Log files from computer-based assessment can help better understand respondents' behaviours and cognitive strategies. Analysis of timing information from Programme for the International Assessment of Adult Competencies (PIAAC) reveals large differences in the time participants take to answer assessment items, as well as large country differences…
Descriptors: Adults, Computer Assisted Testing, Test Items, Reaction Time
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Archer, Elizabeth – Perspectives in Education, 2023
The COVID-19 pandemic has led to rapid change, unprecedented in higher education. One such change has been the almost complete shift to online assessment. The simultaneous employment of online assessment and proctoring has not enjoyed the rigorous academic debate and research traditionally associated with such shifts in academia. This engagement…
Descriptors: Computer Assisted Testing, Supervision, Technology Uses in Education, Social Justice
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Milkova, Eva; Pekarkova, Simona; Azim, Muhammad; Jabin, Bushra – Interactive Learning Environments, 2023
School readiness is recognized as one of the key starting points for children's further success in their school work and in their subsequent career. However, many kindergarten teachers still miss and long for a comprehensive, reliable and standardized diagnostic tool which could help them recognize the level of children's school readiness. That is…
Descriptors: Educational Games, School Readiness, Aptitude Tests, Computer Assisted Testing
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Kuang, Huan; Sahin, Fusun – Large-scale Assessments in Education, 2023
Background: Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because they can bias item parameter estimates. However, the amount of bias, and whether this bias is similar across administrations, is…
Descriptors: Test Items, Comparative Analysis, Mathematics Tests, Reaction Time
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