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Showing 1 to 15 of 85 results Save | Export
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Guozhu Ding; Mailin Li; Shan Li; Hao Wu – Asia Pacific Education Review, 2025
This study investigated the optimal feedback intervals for tasks of varying difficulty levels in online testing and whether task difficulty moderates the effect of feedback intervals on student performance. A pre-experimental study with 36 students was conducted to determine the delayed time for providing feedback based on student behavioral data.…
Descriptors: Feedback (Response), Academic Achievement, Computer Assisted Testing, Intervals
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Simon Ntumi – Discover Education, 2025
This study investigated the impact of AI-powered adaptive testing on student academic performance and test anxiety, comparing its effectiveness to traditional testing methods. Using a quantitative research approach, hierarchical regression analysis was employed to examine the influence of adaptive testing on student outcomes, controlling for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Artificial Intelligence, Test Anxiety
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Zinovy Radovilsky; Vishwanath Hegde – Curriculum and Teaching, 2023
The issues of academic integrity across online and in-person assessments were addressed by analyzing student total, conceptual, and numerical performance scores in the three modes of assessment: (1) In-person assessment with proctoring; (2) Online unproctored assessment; and (3) Respondus assessment online with proctoring. It was identified that…
Descriptors: Academic Achievement, Educational Technology, Computer Assisted Testing, Evaluation
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Mohamed Kara-Mohamed – Journal of Educational Technology Systems, 2025
(1) Context: The growing accessibility of Artificial Intelligence (AI) technology, such as ChatGPT, poses a challenge to the integrity of online assessments in higher education. As AI becomes more integrated into academic contexts, educators face the complex task of maintaining assessment standards particularly within modern Virtual Learning…
Descriptors: Artificial Intelligence, Virtual Classrooms, Computer Assisted Testing, Universities
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Gurvinder Kaur; Stephanie Stroever; Megh Gore; Bridget Vories; Vaughan H. Lee; Keith N. Bishop; Brandt L. Schneider – Discover Education, 2025
Background: Formative assessments build a positive learning environment and provide feedback to enhance learning. This study examined the impact of online formative and low-stake summative assessments on medical students' learning outcomes in the Clinically Oriented Anatomy course from 2016 to 2020. We aimed to demonstrate that formative…
Descriptors: At Risk Students, Identification, Prediction, Anatomy
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Brimzhanova, Saule; Atanov, Sabyrzhan; Moldamurat, Khuralay; Baymuhambetova, Botagoz; Brimzhanova, Karlygash; Seitmetova, Aitkul – Education and Information Technologies, 2022
Computer-based testing of humanities students has some inconveniences and difficulties, where the whole learning process is practically based on communicative methods. In this regard, one needs such a testing system, which would allow one to ask open-ended questions, and students would be able to enter detailed answers. Despite the popularity of…
Descriptors: Computer Assisted Testing, Humanities Instruction, Humanities, Mathematics
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Ben Backes; James Cowan – Grantee Submission, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated in large-scale administration; and second, the degree to which online and paper assessments offer different information about underlying student…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
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Ben Backes; James Cowan – Applied Measurement in Education, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated; and second, the degree to which online and paper assessments offer different information about underlying student ability. We first find very small…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
Beatriz Campana – ProQuest LLC, 2024
Throughout the years, United States education reform has sought to target the most disadvantaged students. Nonetheless, during this same period, proficiency rate disparities seem to have emerged among student subgroups. This study was designed to find ways for school districts to begin closing the achievement gaps between student subgroups,…
Descriptors: Academic Achievement, Achievement Gap, English Language Learners, Standardized Tests
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Robert N. Prince – Numeracy, 2025
One of the effects of the COVID-19 pandemic was the rapid shift to replacing traditional, paper-based tests with their computer-based counterparts. In many cases, these new modes of delivering tests will remain in place for the foreseeable future. In South Africa, the National Benchmark Quantitative Literacy (QL) test was impelled to make this…
Descriptors: Benchmarking, Numeracy, Multiple Literacies, Paper and Pencil Tests
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Xuefan Li; Marco Zappatore; Tingsong Li; Weiwei Zhang; Sining Tao; Xiaoqing Wei; Xiaoxu Zhou; Naiqing Guan; Anny Chan – IEEE Transactions on Learning Technologies, 2025
The integration of generative artificial intelligence (GAI) into educational settings offers unprecedented opportunities to enhance the efficiency of teaching and the effectiveness of learning, particularly within online platforms. This study evaluates the development and application of a customized GAI-powered teaching assistant, trained…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Academic Achievement
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Gordanier, John; Ozturk, Orgul; Zhan, Crystal – Education Finance and Policy, 2023
Computer-based testing (CBT) is becoming an increasingly popular format of assessment in educational settings. If students face a digital divide in terms of access to computers at school and at home, CBT may exacerbate measured student achievement gaps. In this paper, we use the rollout of CBT in South Carolina starting in 2015 to investigate its…
Descriptors: Computer Assisted Testing, Academic Achievement, Testing Programs, Program Implementation
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Sundas Azeem; Muhammad Abbas – Education and Information Technologies, 2025
The study examined the association of big five personality traits (i.e., conscientiousness, openness to experience, and neuroticism) with use of Generative Artificial Intelligence (GenAI) among university students. It also examined the moderating role of perceived fairness in grading on the relationships of personality traits with GenAI usage.…
Descriptors: Personality Traits, Artificial Intelligence, Technology Uses in Education, Technology Integration
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Cheng, Chao-Yang; Chen, Jim-Ming; Chen, Sherry Y. – Interactive Learning Environments, 2023
Online tests offer many advantages but they still belong to assessment, which may make learners have anxiety. Thus, students may experience certain emotion. Academic emotion is a branch of emotion and has great effects on student learning. Such effects can be associated with individual differences, especially prior knowledge. To this end, this…
Descriptors: College Students, Prior Learning, Academic Achievement, Emotional Response
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Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
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