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Wise, Steven L. – Education Inquiry, 2019
A decision of whether to move from paper-and-pencil to computer-based tests is based largely on a careful weighing of the potential benefits of a change against its costs, disadvantages, and challenges. This paper briefly discusses the trade-offs involved in making such a transition, and then focuses on a relatively unexplored benefit of…
Descriptors: Computer Assisted Testing, Cheating, Test Wiseness, Scores
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Schneider, M. Christina; Agrimson, Jared; Veazey, Mary – Educational Measurement: Issues and Practice, 2022
This paper presents results of a score interpretation study for a computer adaptive mathematics assessment. The study purpose was to test the efficacy of item developers' alignment of items to Range Achievement-Level Descriptors (RALDs; Egan et al.) against the empirical achievement-level alignment of items to investigate the use of RALDs as the…
Descriptors: Computer Assisted Testing, Mathematics Tests, Scores, Grade 3
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Wudthayagorn, Jirada; Piamsai, Chatraporn; Thanompongchart, Phasphan – PASAA: Journal of Language Teaching and Learning in Thailand, 2022
In Thailand, a series of policies have been implemented at all levels of Thai education. It is hoped that English language ability among Thai citizens will be improved. In primary education, following the English language education policy for primary school students introduced by the Office of Basic Education Commission (2016), English has been…
Descriptors: Language Proficiency, Language Tests, Computer Assisted Testing, Rating Scales
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Denizer Yildirim; Hale Ilgaz; Alper Bayazit; Gökhan Akçapinar – International Review of Research in Open and Distributed Learning, 2023
One of the biggest challenges for online learning is upholding academic integrity in online assessments. In particular, institutions and faculties attach importance to exam security and academic dishonesty in the online learning process. The aim of this study was to compare the test-taking behaviors and academic achievements of students in…
Descriptors: Student Behavior, Supervision, Electronic Learning, Academic Achievement
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Dutta, Atanu Kumar; Goswami, Kalyan; Murugayan, Sathish Babu; Sahoo, Sibasish; Pal, Amit; Paul, Chandramallika; Thallapaneni, Sasikala; Biswas, Soham – Biochemistry and Molecular Biology Education, 2021
Objectively Structured Clinical/Practical Examination (OSCE/OSPE) has been the backbone of the assessment system of graduate medical education for over three decades. We have developed an electronic Objectively Structured Practical Examination (e-OSPE) in Medical Biochemistry using the freely available Google forms to mitigate the academic…
Descriptors: Undergraduate Students, Student Evaluation, Medical Education, Medical Students
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Pileh Roud, Leila Fekri; Hidri, Sahbi – Education and Information Technologies, 2021
The current study addressed the impact of computerized dynamic assessment (C-DA) on the TOEFL "i"BT listening comprehension test administered to Iranian EFL learners (n = 185) who took part in preparation courses on the TOEFL exam in some language centres in Iran. To mediate the test-takers with hints to process the listening questions,…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Foreign Countries
Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)
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Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
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Çakiroglu, Ünal; Saylan, Esin; Çevik, Isak; Özkan, Adem – International Review of Research in Open and Distributed Learning, 2022
This quasi-experimental study explored how different online exam types differentiate learners' academic achievement and perceived learning. The participants comprised 95 undergraduate students enrolled in an English course at a Turkish university in three groups, each taking a different type of quiz: with multiple-choice, open-ended, and mixed…
Descriptors: Test Format, Computer Assisted Testing, Electronic Learning, English (Second Language)
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Yuko Hayashi; Yusuke Kondo; Yutaka Ishii – Innovation in Language Learning and Teaching, 2024
Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Japanese
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Yang, Albert C. M.; Chen, Irene Y. L.; Flanagan, Brendan; Ogata, Hiroaki – Educational Technology & Society, 2021
Precision education is a new challenge in leveraging artificial intelligence, machine learning, and learning analytics to enhance teaching quality and learning performance. To facilitate precision education, text marking skills can be used to determine students' learning process. Text marking is an essential learning skill in reading. In this…
Descriptors: Grading, Computer Assisted Testing, Automation, Artificial Intelligence
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Clark McKown; Nicole Russo-Ponsaran; Ashley Karls – Society for Research on Educational Effectiveness, 2021
Social and Emotional Learning and Its Measurement: The ability to understand and effectively interact with others is a critical determinant of academic, social, and life success (DiPerna & Elliott, 2002). This fact is increasingly recognized in educational policy and practice. For example, an influential report by the National Academy of…
Descriptors: Computer Assisted Testing, Social Emotional Learning, Web Sites, Interpersonal Competence
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Nese, Joseph F. T. – AERA Open, 2022
Curriculum-based measurement of oral reading fluency (CBM-R) is used as an indicator of reading proficiency, and to measure at risk students' response to reading interventions to help ensure effective instruction. The purpose of this study was to compare model-based words read correctly per minute (WCPM) scores (computerized oral reading…
Descriptors: Reading Tests, Oral Reading, Reading Fluency, Curriculum Based Assessment
Florida Department of Education, 2022
All Florida schools teach the Florida Standards in English Language Arts (ELA) and Mathematics and the Next Generation Sunshine State Standards (NGSSS) in Science and Social Studies. Student performance provides important information to parents/guardians, teachers, policy makers, and the general public regarding how well students are learning.…
Descriptors: Educational Assessment, State Standards, Language Arts, Mathematics
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Stowe, Ryan L.; Esselman, Brian J.; Ralph, Vanessa R.; Ellison, Aubrey J.; Martell, Jeffrey D.; DeGlopper, Kimberly S.; Schwarz, Cara E. – Journal of Chemical Education, 2020
The affordances given to a structured, timed, and proctored paper exam are not as readily applicable in a digital medium. Accordingly, the rapid shift from in-person to online enactments may have forced instructors to consider changing their assessment practices and priorities. As assessments convey strong implicit messages about "what…
Descriptors: Student Evaluation, Organic Chemistry, Online Courses, Computer Assisted Testing
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