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Swapna Haresh Teckwani; Amanda Huee-Ping Wong; Nathasha Vihangi Luke; Ivan Cherh Chiet Low – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…
Descriptors: Accuracy, Reliability, Computational Linguistics, Standards
Beula M. Magimairaj; Philip Capin; Sandra L. Gillam; Sharon Vaughn; Greg Roberts; Anna-Maria Fall; Ronald B. Gillam – Grantee Submission, 2022
Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…
Descriptors: Computer Assisted Testing, Language Tests, Story Telling, Language Impairments
Beula M. Magimairaj; Philip Capin; Sandra L. Gillam; Sharon Vaughn; Greg Roberts; Anna-Maria Fall; Ronald B. Gillam – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…
Descriptors: Computer Assisted Testing, Language Tests, Story Telling, Language Impairments
Wind, Stefanie A.; Wolfe, Edward W.; Engelhard, George, Jr.; Foltz, Peter; Rosenstein, Mark – International Journal of Testing, 2018
Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be "trained" using machine-learning techniques that incorporate human ratings. However, the…
Descriptors: Computer Assisted Testing, Essay Tests, Writing Evaluation, Scoring
Ahmad, Nor Shafrin; Zaharudin, Rozniza; Khairani, Ahmad Zamri – International Journal of Educational Methodology, 2022
Anger is a topic that requires intervention from teachers, counsellors, psychologists, parents, and all communities. The expressions of anger are subjective and sometimes hard to identify. Thus, anger should be measured more objectively, while the expressions need to be examined closely. The purpose of this study is to provide valid confirmation…
Descriptors: Psychological Patterns, Test Validity, Psychometrics, Adolescents
Jiyeo Yun – English Teaching, 2023
Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…
Descriptors: Meta Analysis, Interrater Reliability, Essays, Scoring
Beaty, Roger E.; Johnson, Dan R.; Zeitlen, Daniel C.; Forthmann, Boris – Creativity Research Journal, 2022
Semantic distance is increasingly used for automated scoring of originality on divergent thinking tasks, such as the Alternate Uses Task (AUT). Despite some psychometric support for semantic distance -- including positive correlations with human creativity ratings -- additional work is needed to optimize its reliability and validity, including…
Descriptors: Semantics, Scoring, Creative Thinking, Creativity
Dalton, Sarah Grace; Stark, Brielle C.; Fromm, Davida; Apple, Kristen; MacWhinney, Brian; Rensch, Amanda; Rowedder, Madyson – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The aim of this study was to advance the use of structured, monologic discourse analysis by validating an automated scoring procedure for core lexicon (CoreLex) using transcripts. Method: Forty-nine transcripts from persons with aphasia and 48 transcripts from persons with no brain injury were retrieved from the AphasiaBank database. Five…
Descriptors: Validity, Discourse Analysis, Databases, Scoring
Cohen, Yoav; Levi, Effi; Ben-Simon, Anat – Applied Measurement in Education, 2018
In the current study, two pools of 250 essays, all written as a response to the same prompt, were rated by two groups of raters (14 or 15 raters per group), thereby providing an approximation to the essay's true score. An automated essay scoring (AES) system was trained on the datasets and then scored the essays using a cross-validation scheme. By…
Descriptors: Test Validity, Automation, Scoring, Computer Assisted Testing
Bakhtiar, Mehdi; Wong, Min Ney; Tsui, Emily Ka Yin; McNeil, Malcolm R. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: This study reports the psychometric development of the Cantonese versions of the English Computerized Revised Token Test (CRTT) for persons with aphasia (PWAs) and healthy controls (HCs). Method: The English CRTT was translated into standard Chinese for the Reading--Word Fade version (CRTT-R-[subscript WF]-Cantonese) and into formal…
Descriptors: Psychometrics, Sino Tibetan Languages, Computer Assisted Testing, Aphasia
Hassler Hallstedt, Martin; Ghaderi, Ata – Educational Assessment, 2018
Tablets can be used to facilitate systematic testing of academic skills. Yet, when using validated paper tests on tablet, comparability between the mediums must be established. Comparability between a tablet and a paper version of a basic math skills test (HRT: Heidelberger Rechen Test 1-4) was investigated. Five samples with second and third…
Descriptors: Handheld Devices, Scores, Test Format, Computer Assisted Testing
Gehsmann, Kristin; Spichtig, Alexandra; Tousley, Elias – Literacy Research: Theory, Method, and Practice, 2017
Assessments of developmental spelling, also called spelling inventories, are commonly used to understand students' orthographic knowledge (i.e., knowledge of how written words work) and to determine their stages of spelling and reading development. The information generated by these assessments is used to inform teachers' grouping practices and…
Descriptors: Spelling, Computer Assisted Testing, Grouping (Instructional Purposes), Teaching Methods
Boström, Petra; Johnels, Jakob Åsberg; Thorson, Maria; Broberg, Malin – Journal of Mental Health Research in Intellectual Disabilities, 2016
Few studies have explored the subjective mental health of adolescents with intellectual disabilities, while proxy ratings indicate an overrepresentation of mental health problems. The present study reports on the design and an initial empirical evaluation of the Well-being in Special Education Questionnaire (WellSEQ). Questions, response scales,…
Descriptors: Mental Health, Peer Relationship, Family Environment, Educational Environment
McNeil, Malcolm R.; Pratt, Sheila R.; Szuminsky, Neil; Sung, Jee Eun; Fossett, Tepanta R. D.; Fassbinder, Wiltrud; Lim, Kyoung Yuel – Journal of Speech, Language, and Hearing Research, 2015
Purpose: This study assessed the reliability and validity of intermodality associations and differences in persons with aphasia (PWA) and healthy controls (HC) on a computerized listening and 3 reading versions of the Revised Token Test (RTT; McNeil & Prescott, 1978). Method: Thirty PWA and 30 HC completed the test versions, including a…
Descriptors: Aphasia, Test Validity, Test Reliability, Scores
Davis, Larry – Language Testing, 2016
Two factors were investigated that are thought to contribute to consistency in rater scoring judgments: rater training and experience in scoring. Also considered were the relative effects of scoring rubrics and exemplars on rater performance. Experienced teachers of English (N = 20) scored recorded responses from the TOEFL iBT speaking test prior…
Descriptors: Evaluators, Oral Language, Scores, Language Tests

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