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What Works Clearinghouse Rating
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
Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Reading Psychology, 2024
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
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
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
Sher Muhammad Awan; Rashid Hussain; Khalid Saleem – Pakistan Journal of Distance and Online Learning, 2024
The objective of this study was to find effect of Jazz smart classroom's online quiz on academic achievement of students at secondary school level. Experimental design was used in which two groups were selected one was control and other was experimental group. Experimental group was given a treatment of six weeks by using Jazz Smart Classroom's…
Descriptors: Educational Technology, High School Students, Computer Assisted Testing, Academic Achievement
Hany Zayed – Learning, Media and Technology, 2024
This article examines academic cheating in Egyptian secondary education at a time of assessment fetishization, educational digitalization and pandemic exceptionalism. It shows how, while promising a tighter grip on assessment, digital technologies afforded a new modality of cheating with a scale and speed unprecedented in Egyptian educational…
Descriptors: Cheating, Secondary Education, Foreign Countries, Technology
Venie Gupitasari; Heri Retnawati – Journal of Education and Learning (EduLearn), 2024
Assessment is an important component of learning which aims to determine student achievement in learning. However, the pandemic has changed how assessment is carried out, prompting teachers to look for new strategies in carrying out mathematics learning assessments under any conditions, whether in normal conditions or during a pandemic. This study…
Descriptors: Foreign Countries, High School Teachers, Mathematics Teachers, Student Evaluation
Kaveh Jalilzadeh; Mojgan Rashtchi; Fatemeh Mirzapour – Language Testing in Asia, 2024
A challenging aspect of online education is assessment since academic integrity could be violated due to students' cheating behaviors. The current qualitative research investigated English teachers' perceptions of why students cheat in online assessments. Besides, it attempted to find strategies to reduce cheating in online assessments. Twelve…
Descriptors: Cheating, Computer Assisted Testing, Coping, English (Second Language)
Eran Hadas; Arnon Hershkovitz – Journal of Learning Analytics, 2025
Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…
Descriptors: Creativity, Evaluation Methods, Computer Assisted Testing, Artificial Intelligence
Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Rizki Zakwandi; Edi Istiyono; Wipsar Sunu Brams Dwandaru – Education and Information Technologies, 2024
Computational Thinking (CT) skill was a part of the global framework of reference on Digital Literacy for Indicator 4.4.2, widely developed in mathematics and science learning. This study aimed to promote an assessment tool using a two-tier Computerized Adaptive Test (CAT). The study used the Design and Development Research (DDR) method with four…
Descriptors: Computer Assisted Testing, Adaptive Testing, Student Evaluation, Computation
Gal Kaldes; Elizabeth L. Tighe; Qiwei He – Grantee Submission, 2024
Introduction: Despite the necessity for adults with lower literacy skills to undergo and succeed in high-stakes computer-administered assessments (e.g., GED, HiSET), there remains a gap in understanding their engagement with digital literacy assessments. Methods: This study analyzed process data, specifically time allocation data, from the Program…
Descriptors: Time Management, Adults, Literacy, Computer Assisted Testing
Cleon M. McLean – ProQuest LLC, 2024
This non-consecutive, three-year qualitative study explored the testing experiences of high school juniors who used Chromebooks to take their Smarter Balanced Standardized Assessments (SBAC) in English Language Arts and Mathematics. The study began in 2015, the first year in which SBAC was administered to students across California and other…
Descriptors: Student Attitudes, Computer Assisted Testing, Standardized Tests, Student Evaluation
Celeste Combrinck; Nelé Loubser – Discover Education, 2025
Written assignments for large classes pose a far more significant challenge in the age of the GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students in a class. Therefore, we conducted a study in South Africa and involved 280 Honors students to explore the usefulness of Turnitin's AI…
Descriptors: Foreign Countries, Artificial Intelligence, Large Group Instruction, Alternative Assessment
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