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Clay Gransden; Matthew Hindmarsh; Ngoc Chi Lê; Thi-Huyen Nguyen – Higher Education, Skills and Work-based Learning, 2024
Purpose: There is an increase globally of students using technology to support their learning. The purpose of this paper is to outline the technical aspects of adaptive learning and contribute to the development of pedagogy that incorporates this method in teaching and learning. Design/methodology/approach: This is a technical review article that…
Descriptors: Foreign Countries, Teaching Methods, Technology Uses in Education, Asynchronous Communication
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Gandhi, S.; Hema, G. – Journal of Educational Technology, 2019
The computer based tests are capable of putting together a lot of interactions and fascinating question types, such as simulations, online tests, and measurement of skills, rather than simply assessing by paper-pencil tests. The computerized test result has greater standardization of test administration. The aim of this study is to seek out the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Undergraduate Students, Foreign Countries
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Uotinen, Sanna; Ladonlahti, Tarja; Laamanen, Merja – European Journal of Open, Distance and E-Learning, 2021
E-authentication is one of the key topics in the field of online education and e-assessment. This study was aimed at investigating the user experiences of students with special educational needs and disabilities (SEND) while developing the accessible e-authentication system for higher education institutions. Altogether, 15 students tested the…
Descriptors: Foreign Countries, Student Evaluation, Evaluation Methods, Computer Assisted Testing
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Yu, Eliseeva Dina; Fedosov, A. Yu.; Mnatsakanyan, Olga L.; Grigoreva, Svetlana V.; Dmitrieva, Tatiana V. – NORDSCI, 2018
Building the process of education effectively and qualitatively taking into account educational needs and students' individual characteristics is possible by developing of the special technics of education, in terms of which a student not only will repeat the actions of a teacher but first of all will use different interactive and adaptive…
Descriptors: Foreign Countries, Adaptive Testing, Computer Assisted Testing, Mathematics
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Gauthier, Andrea; Jantzen, Stuart; McGill, Gaël; Jenkinson, Jodie – CBE - Life Sciences Education, 2019
This paper discusses the results of two experiments assessing undergraduate students' beliefs about the random nature of molecular environments. Experiment 1 involved the implementation of a pilot adaptive assessment (n = 773) and focus group discussions with undergraduate students enrolled in first- through third-year biology courses; experiment…
Descriptors: Molecular Biology, Undergraduate Students, Student Attitudes, Misconceptions
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Sahin, Muhittin; Aydin, Furkan; Sulak, Sema; Müftüoglu, Cennet Terzi; Tepgeç, Mustafa; Yilmaz, Gizem Karaoglan; Yilmaz, Ramazan; Yurdugül, Halil – International Association for Development of the Information Society, 2021
The use of technology for teaching and learning has created a paradigm shifting in learning environments and learning process, and also the paradigm shifting has also affected the assessment processes. In addition to these, online environments provide more opportunities to assess of the learners. In this study, the Adaptive Mastery Testing (AMT)…
Descriptors: Teaching Methods, Learning Processes, Adaptive Testing, Computer Assisted Testing
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Forbey, Johnathan D.; Ben-Porath, Yossef S. – Psychological Assessment, 2007
Computerized adaptive testing in personality assessment can improve efficiency by significantly reducing the number of items administered to answer an assessment question. Two approaches have been explored for adaptive testing in computerized personality assessment: item response theory and the countdown method. In this article, the authors…
Descriptors: Personality Traits, Computer Assisted Testing, Test Validity, Personality Assessment
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Kaburlasos, Vassilis G.; Marinagi, Catherine C.; Tsoukalas, Vassilis Th. – Computers & Education, 2008
This work presents innovative cybernetics (feedback) techniques based on Bayesian statistics for drawing questions from an Item Bank towards personalized multi-student improvement. A novel software tool, namely "Module for Adaptive Assessment of Students" (or, "MAAS" for short), implements the proposed (feedback) techniques. In conclusion, a pilot…
Descriptors: Feedback (Response), Student Improvement, Computer Science, Bayesian Statistics
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Neuman, George; Baydoun, Ramzi – Applied Psychological Measurement, 1998
Studied the cross-mode equivalence of paper-and-pencil and computer-based clerical tests with 141 undergraduates. Found no differences across modes for the two types of tests. Differences can be minimized when speeded computerized tests follow the same administration and response procedures as the paper format. (SLD)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Higher Education
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Wise, Steven L.; Finney, Sara J.; Enders, Craig K.; Freeman, Sharon A.; Severance, Donald D. – Applied Measurement in Education, 1999
Examined whether providing item review on a computerized adaptive test could be used by examinees to inflate their scores. Two studies involving 139 undergraduates suggest that examinees are not highly proficient at discriminating item difficulty. A simulation study showed the usefulness of a strategy identified by G. Kingsbury (1996) as a way to…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Higher Education
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Shermis, Mark D.; Mzumara, Howard R.; Bublitz, Scott T. – Journal of Educational Computing Research, 2001
This study of undergraduates examined differences between computer adaptive testing (CAT) and self-adaptive testing (SAT), including feedback conditions and gender differences. Results of the Test Anxiety Inventory, Computer Anxiety Rating Scale, and a Student Attitude Questionnaire showed measurement efficiency is differentially affected by test…
Descriptors: Adaptive Testing, Computer Anxiety, Computer Assisted Testing, Gender Issues
Roos, Linda L.; And Others – 1992
Computerized adaptive (CA) testing uses an algorithm to match examinee ability to item difficulty, while self-adapted (SA) testing allows the examinee to choose the difficulty of his or her items. Research comparing SA and CA testing has shown that examinees experience lower anxiety and improved performance with SA testing. All previous research…
Descriptors: Ability Identification, Adaptive Testing, Algebra, Algorithms
Shermis, Mark D.; And Others – 1992
The reliability of four branching algorithms commonly used in computer adaptive testing (CAT) was examined. These algorithms were: (1) maximum likelihood (MLE); (2) Bayesian; (3) modal Bayesian; and (4) crossover. Sixty-eight undergraduate college students were randomly assigned to one of the four conditions using the HyperCard-based CAT program,…
Descriptors: Adaptive Testing, Algorithms, Bayesian Statistics, Comparative Analysis
Luk, HingKwan – 1991
This study examined whether an expert system approach involving intelligent selection of items (EXSPRT-I) is as efficient as item response theory (IRT) based three-parameter adaptive mastery testing (AMT) when there are enough subjects to estimate the three IRT item parameters for all items in the test and when subjects in the item parameter…
Descriptors: Achievement Tests, Adaptive Testing, College Entrance Examinations, Comparative Analysis
Legg, Sue M.; Buhr, Dianne C. – 1990
Possible causes of a 16-point mean score increase for the computer adaptive form of the College Level Academic Skills Test (CLAST) in reading over the paper-and-pencil test (PPT) in reading are examined. The adaptive form of the CLAST was used in a state-wide field test in which reading, writing, and computation scores for approximately 1,000…
Descriptors: Adaptive Testing, College Entrance Examinations, Community Colleges, Comparative Testing
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