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Ethan Roy; Mathieu Guillaume; Amandine Van Rinsveld; Project iLead Consortium; Bruce D. McCandliss – npj Science of Learning, 2025
Arithmetic fluency is regarded as a foundational math skill, typically measured as a single construct with pencil-and-paper-based timed assessments. We introduce a tablet-based assessment of single-digit fluency that captures individual trial response times across several embedded experimental contrasts of interest. A large (n = 824) cohort of…
Descriptors: Arithmetic, Mathematics Skills, Tablet Computers, Grade 3
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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
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Liu, Changyun; Zhang, Dake; Pandolpho, Max; Yi, Julia – Assessment for Effective Intervention, 2023
This study investigated the effectiveness of four Digitalized Interactive Components (DICs) designed based on cognitive principles to accommodate individual differences among students with learning difficulties in geometry during computer-based assessments. The four DICs were annotations (allowing students to make notes on the screen), pop-up…
Descriptors: High School Students, Computer Assisted Testing, Geometry, Secondary School Mathematics
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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
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Nicolay, Björn; Krieger, Florian; Stadler, Matthias; Vainikainen, Mari-Pauliina; Lindner, Marlit Annalena; Hansen, Anne; Greiff, Samuel – Metacognition and Learning, 2022
The ability to solve complex problems successfully represents a key competence for students' educational success and beyond. While strategy application and metastrategic knowledge constitute two underlying components that drive successful complex problem solving (CPS), little is known about how these two facets develop individually and jointly in…
Descriptors: Metacognition, Problem Solving, Cognitive Processes, Cognitive Style
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Han, Areum; Krieger, Florian; Borgonovi, Francesca; Greiff, Samuel – Large-scale Assessments in Education, 2023
Process data are becoming more and more popular in education research. In the field of computer-based assessments of collaborative problem solving (ColPS), process data have been used to identify students' test-taking strategies while working on the assessment, and such data can be used to complement data collected on accuracy and overall…
Descriptors: Behavior Patterns, Cooperative Learning, Problem Solving, Reaction Time
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Avvisati, Francesco; Borgonovi, Francesca – Large-scale Assessments in Education, 2023
Written instructions seldom need to be read when playing videogames. Instead, gaming often involves early information foraging and expansive exploration behaviors. We use data from the Programme for International Student Assessment (PISA) to explore whether students who regularly play videogames (daily gamers) adopt behaviors that are typical of…
Descriptors: Video Games, Science Process Skills, Problem Solving, Discovery Learning
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Jiang, Yang; Gong, Tao; Saldivia, Luis E.; Cayton-Hodges, Gabrielle; Agard, Christopher – Large-scale Assessments in Education, 2021
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…
Descriptors: Data Use, Learning Analytics, Test Items, Measurement
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Yerushalmy, Michal; Olsher, Shai – ZDM: The International Journal on Mathematics Education, 2020
We argue that examples can do more than serve the purpose of illustrating the truth of an existential statement or disconfirming the truth of a universal statement. Our argument is relevant to the use of technology in classroom assessment. A central challenge of computer-assisted assessment is to develop ways of collecting rich and complex data…
Descriptors: Computer Assisted Testing, Student Evaluation, Problem Solving, Thinking Skills
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Lai, Rina P. Y. – ACM Transactions on Computing Education, 2022
Computational Thinking (CT), entailing both domain-general and domain-specific skills, is a competency fundamental to computing education and beyond. However, as a cross-domain competency, appropriate assessment design and method remain equivocal. Indeed, the majority of the existing assessments have a predominant focus on measuring programming…
Descriptors: Computer Assisted Testing, Computation, Thinking Skills, Computer Science Education
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Harris, Danielle; Logan, Tracy; Lowrie, Tom – Mathematics Education Research Journal, 2021
The relationship between mathematics and spatial reasoning is well established and extensively researched. Certain mathematics content could be deemed explicitly spatial, for example within geometry. However, the link to spatial reasoning extends into other areas of mathematics, such as representations of the number line and reading and…
Descriptors: Spatial Ability, Problem Solving, Mathematics Tests, Computer Assisted Testing
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Ozdemir, Duygu – International Electronic Journal of Mathematics Education, 2022
Nowadays, mathematics education providing challenging, interesting, interactive and technology-oriented learning experiences to students attracts attention both in research and practice. Among those experiences, competitions, due to their role of integrating the interest and desire of students to compete in education, challenging their potentials…
Descriptors: Student Attitudes, Mathematics Education, Competition, Gifted Education
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Lee, Ji-Eun; Chan, Jenny Yun-Chen; Botelho, Anthony; Ottmar, Erin – Educational Technology Research and Development, 2022
Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods (k-means clustering, data visualization) to…
Descriptors: Computer Games, Educational Games, Mathematics Instruction, Learning Processes
Lee, Ji-Eun; Chan, Jenny Yun-Chen; Botelho, Anthony; Ottmar, Erin – Grantee Submission, 2022
Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods ("k"-means clustering, data…
Descriptors: Computer Games, Educational Games, Mathematics Instruction, Learning Processes
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Lundgren, Erik; Eklöf, Hanna – Educational Research and Evaluation, 2020
The present study used process data from a computer-based problem-solving task as indications of behavioural level of test-taking effort, and explored how behavioural item-level effort related to overall test performance and self-reported effort. Variables were extracted from raw process data and clustered. Four distinct clusters were obtained and…
Descriptors: Computer Assisted Testing, Problem Solving, Response Style (Tests), Test Items
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