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Debarati Mukherjee; Supriya Bhavnani; Georgia Lockwood Estrin; Vaisnavi Rao; Jayashree Dasgupta; Hiba Irfan; Bhismadev Chakrabarti; Vikram Patel; Matthew K. Belmonte – Autism: The International Journal of Research and Practice, 2024
Current challenges in early identification of autism spectrum disorder lead to significant delays in starting interventions, thereby compromising outcomes. Digital tools can potentially address this barrier as they are accessible, can measure autism-relevant phenotypes and can be administered in children's natural environments by non-specialists.…
Descriptors: Autism Spectrum Disorders, Young Children, Evaluation, Technology
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Fu Chen; Chang Lu; Ying Cui – Education and Information Technologies, 2024
Successful computer-based assessments for learning greatly rely on an effective learner modeling approach to analyze learner data and evaluate learner behaviors. In addition to explicit learning performance (i.e., product data), the process data logged by computer-based assessments provide a treasure trove of information about how learners solve…
Descriptors: Computer Assisted Testing, Problem Solving, Learning Analytics, Learning Processes
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Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2024
Assessing students' answers and in particular natural language answers is a crucial challenge in the field of education. Advances in transformer-based models such as Large Language Models (LLMs), have led to significant progress in various natural language tasks. Nevertheless, amidst the growing trend of evaluating LLMs across diverse tasks,…
Descriptors: Student Evaluation, Computer Assisted Testing, Artificial Intelligence, Comprehension
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Ramnarain-Seetohul, Vidasha; Bassoo, Vandana; Rosunally, Yasmine – Education and Information Technologies, 2022
In automated essay scoring (AES) systems, similarity techniques are used to compute the score for student answers. Several methods to compute similarity have emerged over the years. However, only a few of them have been widely used in the AES domain. This work shows the findings of a ten-year review on similarity techniques applied in AES systems…
Descriptors: Computer Assisted Testing, Essays, Scoring, Automation
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Cui, Zhongmin – Measurement: Interdisciplinary Research and Perspectives, 2022
Although many educational and psychological tests are labeled as computerized adaptive test (CAT), not all tests show the same level of adaptivity -- some tests might not have much adaptation because of various constraints imposed by test developers. Researchers have proposed some indices to measure the amount of adaption for an adaptive test.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Measurement Techniques
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K. Talman; J. Vierula; T. Karihtala; E. Laakkonen; J. Engblom; E. Haavisto – Higher Education Quarterly, 2025
Higher education institutions need to develop valid, fair, and objective selection methods. Current literature reporting the development and validation of new national large-scale selection tests is scarce. This two-phased study aimed to (1) develop and (2) evaluate the validity of the Finnish digital Universities of Applied Sciences Entrance…
Descriptors: Admission Criteria, Test Construction, Test Validity, Computer Assisted Testing
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Robert L. Moore; Sophia Soomin Lee; Amanda Taylor Pate; Amanda J. Wilson – Distance Education, 2025
This systematic review synthesizes 14 peer-reviewed studies from 2015 to 2023, focusing on the assessment methods and delivery of digital microcredentials. Microcredentials provide specialized, focused content and recognize professional learning or competency in specific skills. This paper defines digital microcredentials as those offered in an…
Descriptors: Literature Reviews, Microcredentials, Evaluation Methods, Program Evaluation
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Ata Jahangir Moshayedi; Atanu Shuvam Roy; Zeashan Hameed Khan; Hong Lan; Habibollah Lotfi; Xiaohong Zhang – Education and Information Technologies, 2025
In this paper, a secure exam proctoring assistant 'EMTIHAN' (which means exam in Arabic/Persian/Urdu/Turkish languages) is developed to address concerns related to online exams for handwritten topics by allowing students to submit their answers online securely via their mobile devices. This system is designed with an aim to lessen the student's…
Descriptors: Computer Assisted Testing, Distance Education, MOOCs, Virtual Classrooms
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Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
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Ingrisone, Soo Jeong; Ingrisone, James N. – Educational Measurement: Issues and Practice, 2023
There has been a growing interest in approaches based on machine learning (ML) for detecting test collusion as an alternative to the traditional methods. Clustering analysis under an unsupervised learning technique appears especially promising to detect group collusion. In this study, the effectiveness of hierarchical agglomerative clustering…
Descriptors: Identification, Cooperation, Computer Assisted Testing, Artificial Intelligence
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Cheng, Yiling – Measurement: Interdisciplinary Research and Perspectives, 2023
Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall,…
Descriptors: Computer Software, Computer Assisted Testing, Adaptive Testing, Item Response Theory
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Alhadi, Moosa; Zhang, Dake; Wang, Ting; Maher, Carolyn A. – Computers in the Schools, 2023
This research synthesizes studies that used a Digitalized Interactive Component (DIC) to assess K-12 student performance during Computer-based-Assessments (CBAs) in mathematics. A systematic search identified ten studies, including four that provided language assistance and six that provided response-construction support. We reported on the one…
Descriptors: Computer Assisted Testing, Mathematics Tests, Student Evaluation, Elementary Secondary Education
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Gilbert, Kacey; Benson, Nicholas F.; Kranzler, John H. – Contemporary School Psychology, 2023
Despite the fact that the digital administration format of Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) was published in 2016, no research to date has examined its factor structure using all 10 of the primary subtests to measure intellectual ability. The purpose of this study, therefore, was to use exploratory and confirmatory…
Descriptors: Computer Assisted Testing, Children, Intelligence Tests, Factor Structure
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Xiong, Yao; Schunn, Christian D.; Wu, Yong – Journal of Computer Assisted Learning, 2023
Background: For peer assessment, reliability (i.e., consistency in ratings across peers) and validity (i.e., consistency of peer ratings with instructors or experts) are frequently examined in the research literature to address a central concern of instructors and students. Although the average levels are generally promising, both reliability and…
Descriptors: Peer Evaluation, Computer Assisted Testing, Test Reliability, Test Validity
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Zinovy Radovilsky; Vishwanath Hegde – Curriculum and Teaching, 2023
The issues of academic integrity across online and in-person assessments were addressed by analyzing student total, conceptual, and numerical performance scores in the three modes of assessment: (1) In-person assessment with proctoring; (2) Online unproctored assessment; and (3) Respondus assessment online with proctoring. It was identified that…
Descriptors: Academic Achievement, Educational Technology, Computer Assisted Testing, Evaluation
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