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Tugba Uygun; Pinar Guner; Irfan Simsek – International Journal of Mathematical Education in Science and Technology, 2024
This study was conducted to reveal potential sources of students' difficulty and misconceptions about geometrical concepts with the help of eye tracking. In this study, the students' geometrical misconceptions were explored by answering the questions on the geometry test prepared based on the literature and test-taking processes and represented…
Descriptors: Eye Movements, Geometric Concepts, Mathematics Instruction, Misconceptions
Celeste Combrinck; Nelé Loubser – Discover Education, 2025
Written assignments for large classes pose a far more significant challenge in the age of the GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students in a class. Therefore, we conducted a study in South Africa and involved 280 Honors students to explore the usefulness of Turnitin's AI…
Descriptors: Foreign Countries, Artificial Intelligence, Large Group Instruction, Alternative Assessment
Endang Susantini; Yurizka Melia Sari; Prima Vidya Asteria; Muhammad Ilyas Marzuqi – Journal of Education and Learning (EduLearn), 2025
Assessing preservice' higher order thinking skills (HOTS) in science and mathematics is essential. Teachers' HOTS ability is closely related to their ability to create HOTS-type science and mathematics problems. Among various types of HOTS, one is Bloomian HOTS. To facilitate the preservice teacher to create problems in those subjects, an Android…
Descriptors: Content Validity, Mathematics Instruction, Decision Making, Thinking Skills
Delnoij, Laurie E. C.; Janssen, José P. W; Dirkx, Kim J. H.; Martens, Rob L. – International Journal of Assessment Tools in Education, 2022
Informed study decisions are pivotal for student retention in higher online education. A self-assessment prior to enrolment has been proposed as a promising approach to enable informed decision-making and to build resources for retention. To determine whether such a self-assessment affects the decision-making process as intended, thorough and…
Descriptors: Computer Assisted Testing, Self Evaluation (Individuals), Decision Making, Test Validity
Congning Ni; Bhashithe Abeysinghe; Juanita Hicks – International Electronic Journal of Elementary Education, 2025
The National Assessment of Educational Progress (NAEP), often referred to as The Nation's Report Card, offers a window into the state of U.S. K-12 education system. Since 2017, NAEP has transitioned to digital assessments, opening new research opportunities that were previously impossible. Process data tracks students' interactions with the…
Descriptors: Reaction Time, Multiple Choice Tests, Behavior Change, National Competency Tests
Weiling Li; Anabil Munshi; Catherine Oberle; Aaron Butler; Amy J. Dray – Online Submission, 2024
Edmentum offers a personalized learning platform called Exact Path. Over the past five years, about 56 schools and districts in Virginia have implemented the program. This quasiexperimental study, designed to meet ESSA Tier 2 evidence and What Works Clearinghouse standards with reservations, aimed to investigate the efficacy of Exact Path in…
Descriptors: Student Needs, Student Diversity, Outcomes of Education, Educational Improvement
Westrick, Paul A.; Marini, Jessica P.; Young, Linda; Ng, Helen; Shaw, Emily J. – College Board, 2023
This pilot study examines digital SAT® score relationships with first-year college performance. Results show that digital SAT scores predict college performance as well as paper and pencil SAT scores, and that digital SAT scores meaningfully improve our understanding of a student's readiness for college above high school grade point average…
Descriptors: Computer Assisted Testing, Scores, Career Readiness, College Readiness
Lehane, Paula; Scully, Darina; O'Leary, Michael – Irish Educational Studies, 2022
In line with the widespread proliferation of digital technology in everyday life, many countries are now beginning to use computer-based exams (CBEs) in their post-primary education systems. To ensure that these CBEs are delivered in a manner that preserves their fairness, validity, utility and credibility, several factors pertaining to their…
Descriptors: Computer Assisted Testing, Secondary School Students, Culture Fair Tests, Test Validity
Abedi, Jamal; Zhang, Yu; Rowe, Susan E.; Lee, Hansol – Educational Measurement: Issues and Practice, 2020
Research indicates that the performance-gap between English Language Learners (ELLs) and their non-ELL peers is partly due to ELLs' difficulty in understanding assessment language. Accommodations have been shown to narrow this performance-gap, but many accommodations studies have not used a randomized design and are based on relatively small…
Descriptors: English Language Learners, Achievement Gap, Mathematics Tests, Standards
Filderman, Marissa J.; Austin, Christy R.; Toste, Jessica R. – Intervention in School and Clinic, 2019
The process of implementing intensive reading interventions using data-based decision-making (DBDM) becomes increasingly challenging as students move into the secondary grades and reading tasks correspondingly become more complex. This article provides teachers with guidelines to support effective implementation of DBDM for students with or at…
Descriptors: Data Use, Reading Difficulties, At Risk Students, Secondary School Teachers
Roohr, Katrina Crotts; Sireci, Stephen G. – Educational Assessment, 2017
Test accommodations for English learners (ELs) are intended to reduce the language barrier and level the playing field, allowing ELs to better demonstrate their true proficiencies. Computer-based accommodations for ELs show promising results for leveling that field while also providing us with additional data to more closely investigate the…
Descriptors: Testing Accommodations, English Language Learners, Second Language Learning, Computer Assisted Testing
Peters, Joshua A. – ProQuest LLC, 2016
There is a lack of knowledge in whether there is a difference in results for students on paper and pencil high stakes assessments and computer-based high stakes assessments when considering race and/or free and reduced lunch status. The purpose of this study was to add new knowledge to this field of study by determining whether there is a…
Descriptors: Comparative Analysis, Computer Assisted Testing, Lunch Programs, High Stakes Tests
Rosen, Yigal; Tager, Maryam – Journal of Educational Computing Research, 2014
Major educational initiatives in the world place great emphasis on fostering rich computer-based environments of assessment that make student thinking and reasoning visible. Using thinking tools engages students in a variety of critical and complex thinking, such as evaluating, analyzing, and decision making. The aim of this study was to explore…
Descriptors: Critical Thinking, Concept Mapping, Computer Assisted Testing, Foreign Countries
Secolsky, Charles, Ed.; Denison, D. Brian, Ed. – Routledge, Taylor & Francis Group, 2011
Increased demands for colleges and universities to engage in outcomes assessment for accountability purposes have accelerated the need to bridge the gap between higher education practice and the fields of measurement, assessment, and evaluation. The "Handbook on Measurement, Assessment, and Evaluation in Higher Education" provides higher…
Descriptors: Generalizability Theory, Higher Education, Institutional Advancement, Teacher Effectiveness