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Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
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Erdemir, Mustafa – Journal of Educational Technology, 2021
In the light of the opinion of 43 pre-service teachers who attended the online midterm exam of Physics-II course, the positive and negative aspects of the online exam, and their opinion about its effective use in the education process were tried to be determined. The pre-service teachers' opinions about their feelings during the online evaluation,…
Descriptors: Preservice Teachers, Student Attitudes, Computer Assisted Testing, Science Tests
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Navarro, Juan-José; Mourgues-Codern, Catalina V. – Journal of Cognitive Education and Psychology, 2018
The development of novel educational assessment models founded on item response theory (IRT), as well as software tools designed to implement these models, has contributed to the surge in computerized adaptive tests (CATs). The distinguishing characteristic of CATs is that the sequence of items on a test progressively adapts to the performance…
Descriptors: Reading Processes, Computer Assisted Testing, Adaptive Testing, Item Response Theory
Siskind, Theresa G.; And Others – 1992
The instructional validity of computer administered tests was studied with a focus on whether differences in test scores and item behavior are a function of instructional mode (computer versus non-computer). In the first of 3 studies, performance test scores for approximately 400 high school students in 1990-91 for tasks accomplished with the…
Descriptors: Comparative Testing, Comprehension, Computer Assisted Instruction, Computer Assisted Testing