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Yildirim, Nuray; Tekel, Esra – International Journal of Psychology and Educational Studies, 2023
The aim of this research is to examine the pre-service teachers' opinions on online assessment during the COVID-19 process. In the study, which was designed with a phenomenological design, data were collected from 138 teacher candidates with a structured interview form consisting of open-ended questions created by the researchers and analyzed by…
Descriptors: Computer Assisted Testing, Preservice Teachers, COVID-19, Pandemics
Kim, Hyojoon; Song, Jinwoong – Research in Science Education, 2023
Online learning overcomes space and time constraints; however, it presents challenges in teacher-learner interaction. This study explores the potential of feedback in online formative assessment (OFA) to enhance such interactions. This study identified different types of feedbacks and analyzed the characteristics of interactions between teachers,…
Descriptors: Teacher Student Relationship, Interaction, Computer Assisted Testing, Formative Evaluation
Pingping Zhao; Chun-Yen Chang; Yueyang Shao; Zhi Liu; Hao Zhou; Jian Liu – Journal of Baltic Science Education, 2023
Students' problem-solving strategies and the differences among strategy groups were explored by analyzing the process data collected during student interactions with computer-based science items. Data were gathered from 1516 eleventh-grade students from 4 schools in China. Analyses of the sequences of students' response actions revealed that the…
Descriptors: Foreign Countries, Problem Solving, Learning Strategies, Science Instruction
Said Hadjerrouit; Celestine Ifeanyi Nnagbo – International Association for Development of the Information Society, 2023
The purpose of this paper is to investigate the affordances of the e-assessment system Numbas from an Activity Theory perspective. The study follows a qualitative research design combined with semi-structured interviews with six students and two teachers. The findings reveal that the students were able to perceive and actualise several affordances…
Descriptors: Student Evaluation, Computer Assisted Testing, Social Theories, Feedback (Response)
Henderson, Michael; Chung, Jennifer; Awdry, Rebecca; Mundy, Matthew; Bryant, Mike; Ashford, Cliff; Ryan, Kris – Assessment & Evaluation in Higher Education, 2023
Online examinations are a common experience in higher education. Their security is a key concern for education communities, and has resulted in a variety of cheating countermeasures. There is broad consensus in the literature that there is no one measure, including proctoring, which eradicates cheating behaviours. As a result, this study is…
Descriptors: Computer Assisted Testing, Cheating, College Students, Student Behavior
Peter Organisciak; Selcuk Acar; Denis Dumas; Kelly Berthiaume – Grantee Submission, 2023
Automated scoring for divergent thinking (DT) seeks to overcome a key obstacle to creativity measurement: the effort, cost, and reliability of scoring open-ended tests. For a common test of DT, the Alternate Uses Task (AUT), the primary automated approach casts the problem as a semantic distance between a prompt and the resulting idea in a text…
Descriptors: Automation, Computer Assisted Testing, Scoring, Creative Thinking
Chen, Chia-Wen; Wang, Wen-Chung; Chiu, Ming Ming; Ro, Sage – Journal of Educational Measurement, 2020
The use of computerized adaptive testing algorithms for ranking items (e.g., college preferences, career choices) involves two major challenges: unacceptably high computation times (selecting from a large item pool with many dimensions) and biased results (enhanced preferences or intensified examinee responses because of repeated statements across…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
Pugh, Debra; De Champlain, André; Gierl, Mark; Lai, Hollis; Touchie, Claire – Research and Practice in Technology Enhanced Learning, 2020
The purpose of this study was to compare the quality of multiple choice questions (MCQs) developed using automated item generation (AIG) versus traditional methods, as judged by a panel of experts. The quality of MCQs developed using two methods (i.e., AIG or traditional) was evaluated by a panel of content experts in a blinded study. Participants…
Descriptors: Computer Assisted Testing, Test Construction, Multiple Choice Tests, Test Items
Erdemir, Mustafa; Akyuz, Halil Ibrahim – Journal on School Educational Technology, 2020
The purpose of this study is to reduce ethics violations such as tricking and cheating that may occur in the offline assessment of undergraduate level Physics-II (Electricity) course subjects. The study is significant for the reliable and ethical evaluation of the Internet and computer-based educational process. Thirty-eight pre-service teachers…
Descriptors: Test Reliability, Ethics, Cheating, Undergraduate Students
Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
Emily B. Goldberg; Sheila R. Pratt; Malcolm R. McNeil; Neil Szuminsky; Kenneth DeHaan; Leslie Q. Zhen – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The present study assessed the test-retest reliability of the American Sign Language (ASL) version of the Computerized Revised Token Test (CRTT-ASL) and compared the differences and similarities between ASL and English reading by Deaf and hearing users of ASL. Method: Creation of the CRTT-ASL involved filming, editing, and validating CRTT…
Descriptors: American Sign Language, Reliability, Validity, Test Construction
Tom van Rossum; Lawrence Foweather; Spencer Hayes; David Morley – Journal of Teaching in Physical Education, 2025
Purpose: This study evaluated the feasibility of the "Start to Move" (S2M) digital assessment of children's fundamental movement skills being implemented by primary school teachers within PE lessons. Methods: Nine primary school teachers in the United Kingdom trialed S2M weekly over a 6-week period. Posttrial surveys and interviews were…
Descriptors: Movement Education, Electronic Learning, Teacher Role, Elementary School Teachers
Teachers' Perceptions of Students' ICT Skills for Online Assessments (NAPLAN): Influences and Impact
Cindy Carboni; Susan Main – Issues in Educational Research, 2025
This convergent mixed-methods study investigated Australian teachers' perspectives on the computing competencies required for online National Assessment Program -- Literacy and Numeracy (NAPLAN). A total of 107 teachers completed surveys examining how socio-educational backgrounds and classroom practices shape students' readiness for high-stakes…
Descriptors: Numeracy, Literacy, National Competency Tests, High Stakes Tests
Agnew, Stephen; Kerr, Jane; Watt, Richard – Australasian Journal of Educational Technology, 2021
This research explored the effect of incentives to complete online quizzes during a course. When a 1% weighting incentive per quiz was removed, student engagement dropped dramatically. There is also evidence that students who continued to complete quizzes did so with less vigour, spending less time on each quiz, starting them later in the week and…
Descriptors: Student Behavior, Academic Achievement, Incentives, Behavior Modification
Somers, Rick; Cunningham-Nelson, Samuel; Boles, Wageeh – Australasian Journal of Educational Technology, 2021
In this study, we applied natural language processing (NLP) techniques, within an educational environment, to evaluate their usefulness for automated assessment of students' conceptual understanding from their short answer responses. Assessing understanding provides insight into and feedback on students' conceptual understanding, which is often…
Descriptors: Natural Language Processing, Student Evaluation, Automation, Feedback (Response)

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