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Luz, Yael; Yerushalmy, Michal – Journal for Research in Mathematics Education, 2023
We report on an innovative design of algorithmic analysis that supports automatic online assessment of students' exploration of geometry propositions in a dynamic geometry environment. We hypothesized that difficulties with and misuse of terms or logic in conjectures are rooted in the early exploration stages of inquiry. We developed a generic…
Descriptors: Algorithms, Computer Assisted Testing, Geometry, Mathematics Instruction
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Nsabayezu, Ezechiel; Iyamuremye, Aloys; Mbonyiryivuze, Agnes; Niyonzima, Francois Niyongabo; Mukiza, Janvier – Education and Information Technologies, 2023
Formative assessment supports teachers in recognizing students' learning strengths and shortcomings and enhancing teaching and learning approaches. The current study aims to examine the impact of digital-based formative assessment on students' learning of organic chemistry. In this study, a mixed research strategy was used. Students in senior five…
Descriptors: Formative Evaluation, Computer Assisted Testing, Organic Chemistry, Science Instruction
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Parker, Mark A. J.; Hedgeland, Holly; Jordan, Sally E.; Braithwaite, Nicholas St. J. – European Journal of Science and Mathematics Education, 2023
The study covers the development and testing of the alternative mechanics survey (AMS), a modified force concept inventory (FCI), which used automatically marked free-response questions. Data were collected over a period of three academic years from 611 participants who were taking physics classes at high school and university level. A total of…
Descriptors: Test Construction, Scientific Concepts, Physics, Test Reliability
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Necati Taskin; Kerem Erzurumlu – Asian Journal of Distance Education, 2023
In this study, online test scores and paper-pencil test scores of students studying through online learning were examined. Causal-comparative research was used to determine the distribution of students' test scores and to examine the relationship between them. The participants of the research are freshman students studying in 12 faculties and 8…
Descriptors: Computer Assisted Testing, Scores, Test Format, Paper (Material)
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Sherry Y. Chen; Chia-Yi Tseng; Chao-Yang Cheng – Interactive Learning Environments, 2023
This study proposed a three-tier test to help students learn English grammar. To reduce students' anxiety, game-based learning was incorporated into the three-tier test, where personalization was also implemented to accommodate students' different needs. More specifically, we developed a Personalized Entertaining Three-Tier Test (PET3), which…
Descriptors: English (Second Language), Language Tests, Grammar, Game Based Learning
Maarten T. P. Beerepoot – Journal of Chemical Education, 2023
Digital automated assessment is a valuable and time-efficient tool for educators to provide immediate and objective feedback to learners. Automated assessment, however, puts high demands on the quality of the questions, alignment with the intended learning outcomes, and the quality of the feedback provided to the learners. We here describe the…
Descriptors: Formative Evaluation, Summative Evaluation, Chemistry, Science Instruction
Steven M. Urdegar – Office of Assessment, Research, and Data Analysis, Miami-Dade County Public Schools, 2023
i-Ready is an English Language Arts (ELA) and mathematics instructional program for Grades K-8 students featuring an individualized plan for instruction based on each student's performance on an online, computer-adaptive diagnostic assessment. Once students complete the diagnostic assessment, i-Ready builds a unique lesson plan with a…
Descriptors: Language Arts, English Instruction, Mathematics Instruction, Elementary School Mathematics
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
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Emery-Wetherell, Meaghan; Wang, Ruoyao – Assessment & Evaluation in Higher Education, 2023
Over four semesters of a large introductory statistics course the authors found students were engaging in contract cheating on Chegg.com during multiple choice examinations. In this paper we describe our methodology for identifying, addressing and eventually eliminating cheating. We successfully identified 23 out of 25 students using a combination…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Cheating, Identification
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Rebecca Hallman Martini – Writing Center Journal, 2023
Despite their history of marginalization, writing centers need to be spaces where consultants, writers, and administrators act with agency. This requires both knowing when and how to act, as well as deciding when to yield. In challenging policies of seeming neutrality, I argue in this manuscript that writing center practitioners can center the…
Descriptors: Writing Instruction, Writing (Composition), Laboratories, Writing Teachers
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Kosan, Aysen Melek Aytug; Koç, Nizamettin; Elhan, Atilla Halil; Öztuna, Derya – International Journal of Assessment Tools in Education, 2019
Progress Test (PT) is a form of assessment that simultaneously measures ability levels of all students in a certain educational program and their progress over time by providing them with same questions and repeating the process at regular intervals with parallel tests. Our objective was to generate an item bank for the PT and to examine the…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Medical Education
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Mizumoto, Atsushi; Sasao, Yosuke; Webb, Stuart A. – Language Testing, 2019
The knowledge about affix plays a vital role in the development of word knowledge and vocabulary acquisition. A test for diagnostic information on the level of affix knowledge would be useful in order to inform the test users of what learners have gained or lacked in this integral component of vocabulary knowledge. This paper reports the…
Descriptors: Computer Assisted Testing, Adaptive Testing, College Students, English (Second Language)
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Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
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Sahin, Alper; Hurtado Grooscors, Hector Armando; Góngora-Cortés, Jose Juan – Measurement: Interdisciplinary Research and Perspectives, 2018
Computerized adaptive tests (CATs) have received wider attention throughout the world in recent years mainly because they provide their users with higher precision in examinee ability estimation with less items by the help of the sound psychometric principals they are based on. The recent attention necessitates the need for platforms on which CATs…
Descriptors: Adaptive Testing, Computer Assisted Testing, Psychometrics, Feasibility Studies
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Gelbart, Wendy R. – Intervention in School and Clinic, 2018
As schools move into a new era of technology, assessment is evolving as well. With the introduction of high-stakes tests based on the Common Core State Standards, annual assessments are increasingly delivered via computer-based systems. This method of delivery could have a significant effect on students with learning disabilities. This column…
Descriptors: High Stakes Tests, Learning Disabilities, Computer Assisted Testing, Common Core State Standards
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