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Alice Lemmo – International Journal of Mathematical Education in Science and Technology, 2025
The use of digital technologies in teaching and learning processes has opened new and wide frontiers in mathematics education. Research in education moves towards teaching and learning (and assessing) twenty-first-century skills and computer-based testing seems an interesting possibility for assessing such skills. From this perspective, comparing…
Descriptors: Computer Assisted Testing, Paper and Pencil Tests, Problem Solving, Mathematics Tests
Matthieu Cisel – Canadian Journal of Education, 2024
Over the last decade, teachers in France have been increasingly pressured to use digital learning environments, and to shift from grade-based to skill-based assessment. Educational dashboards, which measure student input electronically, could foster such a transition by providing insights into learners' performances. However, such dashboards could…
Descriptors: Foreign Countries, Computer Assisted Testing, Summative Evaluation, Elementary School Students
Emily R. Forcht; Ethan R. Van Norman – Psychology in the Schools, 2024
The present study compared the diagnostic accuracy of a single computer adaptive test (CAT), Star Reading or Star Math, and a combination of the two in a gated screening framework to predict end-of-year proficiency in reading and math. Participants included 13,009 students in Grades 3-8 who had at least one fall screening score and end-of-year…
Descriptors: Computer Assisted Testing, Adaptive Testing, Diagnostic Tests, Screening Tests
Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil Heffernan – Grantee Submission, 2024
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…
Descriptors: Automation, Scoring, Computer Assisted Testing, Natural Language Processing
Stephanie Michelle McMillan-Dorman – ProQuest LLC, 2023
McMillan-Dorman, Stephanie Michelle. Examining the Relationship Between Middle School Students' Participation on i-Ready Computer Adaptive Tests and Math Achievement Scores (Under the direction of Theodore Kaniuka, Ed.D.) Despite over 50 years of effort, educators have witnessed a multiplicity of educational reforms make little to no effect on…
Descriptors: Middle School Students, Student Participation, Tests, Computer Assisted Testing
Christopher D. Wilson; Kevin C. Haudek; Jonathan F. Osborne; Zoë E. Buck Bracey; Tina Cheuk; Brian M. Donovan; Molly A. M. Stuhlsatz; Marisol M. Santiago; Xiaoming Zhai – Journal of Research in Science Teaching, 2024
Argumentation is fundamental to science education, both as a prominent feature of scientific reasoning and as an effective mode of learning--a perspective reflected in contemporary frameworks and standards. The successful implementation of argumentation in school science, however, requires a paradigm shift in science assessment from the…
Descriptors: Middle School Students, Competence, Science Process Skills, Persuasive Discourse
Máñez, Ignacio; Vidal-Abarca, Eduardo; Magliano, Joseph P. – Electronic Journal of Research in Educational Psychology, 2022
Introduction: Students often answer questions from available expository texts for assessment and learning purposes. These activities require readers to activate not only meaning-making processes (e.g., paraphrases or elaborations), but also metacognitive operations (e.g., monitoring readers' own comprehension or self-regulating reading behaviors)…
Descriptors: Protocol Analysis, Metacognition, Reading Comprehension, Grade 8
Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests
Shujun Liu; Azzeddine Boudouaia; Xinya Chen; Yan Li – Asia-Pacific Education Researcher, 2025
The application of Automated Writing Evaluation (AWE) has recently gained researchers' attention worldwide. However, the impact of AWE feedback on student writing, particularly in languages other than English, remains controversial. This study aimed to compare the impacts of Chinese AWE feedback and teacher feedback on Chinese writing revision,…
Descriptors: Foreign Countries, Middle School Students, Grade 7, Writing Evaluation
Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead – Journal of Learning Analytics, 2025
Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…
Descriptors: Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing, Problem Solving
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
Ozsoy, Seyma Nur; Kilmen, Sevilay – International Journal of Assessment Tools in Education, 2023
In this study, Kernel test equating methods were compared under NEAT and NEC designs. In NEAT design, Kernel post-stratification and chain equating methods taking into account optimal and large bandwidths were compared. In the NEC design, gender and/or computer/tablet use was considered as a covariate, and Kernel test equating methods were…
Descriptors: Equated Scores, Testing, Test Items, Statistical Analysis
C. H., Dhawaleswar Rao; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2023
Multiple-choice question (MCQ) plays a significant role in educational assessment. Automatic MCQ generation has been an active research area for years, and many systems have been developed for MCQ generation. Still, we could not find any system that generates accurate MCQs from school-level textbook contents that are useful in real examinations.…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Automation, Test Items
Afrah Assi; Anat Cohen – International Journal of Science Education, 2024
The study implements and investigates an innovative learning approach that incorporates Flipped Classroom (FC) methodologies and electronic assessment (e-assessment) in Context-Based Learning (CBL) in chemistry among middle school students. The study incorporated mixed methods strategies and (a) examined learners' attitudes toward and perceptions…
Descriptors: Relevance (Education), Flipped Classroom, Middle School Students, Science Education
Sarintan N. Kaharu; Yusdin Gagaramusu; Azizah Azizah; Nurul Kamisani; Nurgan Tadeko; Jusman Mansyur – Pegem Journal of Education and Instruction, 2024
This study aims to develop an online test that can be used to characterize students' conception of objects in static fluid. The test developed by carried out several stages, namely: modified previous essay test and formed the Tier-1 of multiple-choice questions with options taken from the findings previous studies; combined the reasons for…
Descriptors: Test Construction, Scientific Concepts, Concept Formation, Computer Assisted Testing