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Academic Reading under a Semantic Enhancement Environment: An Empirical Study on Users' Cognitive Load and Reading Effect
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Song, Ningyuan; Chen, Kejun; Jin, Xiufang; Zhao, Yuehua – Journal of Computer Assisted Learning, 2023
Background: In the digital environment, users' academic reading behaviour has changed, working with many articles simultaneously to search, filter, scan, link, annotate and analyse content fragments. The semantic enhancement environment has been widely set with semantic technologies to offer additional and handy support for users and thus…
Descriptors: Reading Processes, Reading Skills, Semantics, Cognitive Processes
Who Benefits from Computerized Learning Progress Assessment in Reading Education? Evidence from a Two-Cohort Pre-Post Design
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A. M. Alexandra Schmitterer; Leonard. D. Tetzlaff; Marcus Hasselhorn; Garvin Brod – Journal of Computer Assisted Learning, 2024
Background: Learning Progress Assessments (LPA) have been developed to help teachers individualize their curriculum. The use of LPA is facilitated by an increasing number of computerized LPA tools. However, little is known about student factors that influence the effectiveness of computerized LPA. Objectives: In this study, we explored whether a…
Descriptors: Progress Monitoring, Student Evaluation, Information Technology, Influences
Duration versus Accuracy--What Matters for Computerised Adaptive Testing in Schools?
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Nikola Ebenbeck; Morten Bastian; Andreas Mühling; Markus Gebhardt – Journal of Computer Assisted Learning, 2024
Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Public Schools, Special Schools