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Cleophas, Catherine; Hönnige, Christoph; Meisel, Frank; Meyer, Philipp – INFORMS Transactions on Education, 2023
As the COVID-19 pandemic motivated a shift to virtual teaching, exams have increasingly moved online too. Detecting cheating through collusion is not easy when tech-savvy students take online exams at home and on their own devices. Such online at-home exams may tempt students to collude and share materials and answers. However, online exams'…
Descriptors: Computer Assisted Testing, Cheating, Identification, Essay Tests
Maddox, Bryan – OECD Publishing, 2023
The digital transition in educational testing has introduced many new opportunities for technology to enhance large-scale assessments. These include the potential to collect and use log data on test-taker response processes routinely, and on a large scale. Process data has long been recognised as a valuable source of validation evidence in…
Descriptors: Measurement, Inferences, Test Reliability, Computer Assisted Testing
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Zhang, Ling; Jackson, Haidee A.; Hunt, Tiffany L.; Carter, Richard Allen; Yang, Sohyun; Emerling, Christopher R. – TEACHING Exceptional Children, 2022
Mathematical problem solving is a complex cognitive activity, which poses difficulties for students with and without disabilities in inclusive learning environments. With a variety of functions, Learning Management Systems (LMSs) have the potential to enhance personalized learning to meet the diverse needs of all students. This paper provides…
Descriptors: Integrated Learning Systems, Mathematics Skills, Problem Solving, Evidence Based Practice
Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
Jimenez, Laura; Boser, Ulrich – Center for American Progress, 2021
Despite the often-negative discussion about testing in schools, assessments are a necessary and useful tool in the teaching and learning process. This is especially true when it comes to diagnostic and formative assessments, which give teachers real-time direction for what students need to learn to master course content. It is this space where the…
Descriptors: Artificial Intelligence, Test Use, Test Anxiety, Test Construction