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Tzu-Hua Wang; Yu Sun; Nai-Wen Huang – Computer Assisted Language Learning, 2023
This research applied a web-based dynamic assessment system, GPAM-WATA system, to help low English achievers to perform self-directed learning of junior high school English grammar. A quasi-experimental design was adopted. A total of 124 seventh graders from four classes participated in this research. Participants were randomly divided into the…
Descriptors: Foreign Countries, Junior High School Students, English (Second Language), Second Language Learning
Piyanut Xuto; Azadeh Stark – International Society for Technology, Education, and Science, 2023
To developed an educational tool for an online OSCE to evaluate the practice readiness of the fourth-year nursing students. Online professional proficiency evaluation of nursing students can be a valid alternative to traditional methods. We designed a one group pre-posttest study. The 51 nursing students were recruited. We implemented a 3-stage of…
Descriptors: Obstetrics, Nursing Education, Student Evaluation, Professionalism
Takahiro Terao – Applied Measurement in Education, 2024
This study aimed to compare item characteristics and response time between stimulus conditions in computer-delivered listening tests. Listening materials had three variants: regular videos, frame-by-frame videos, and only audios without visuals. Participants were 228 Japanese high school students who were requested to complete one of nine…
Descriptors: Computer Assisted Testing, Audiovisual Aids, Reaction Time, High School Students
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Neha Biju; Nasser Said Gomaa Abdelrasheed; Khilola Bakiyeva; K. D. V. Prasad; Biruk Jember – Language Testing in Asia, 2024
In recent years, language practitioners have paid increasing attention to artificial intelligence (AI)'s role in language programs. This study investigated the impact of AI-assisted language assessment on L2 learners' foreign language anxiety (FLA), attitudes, motivation, and writing skills. The study adopted a sequential exploratory mixed-methods…
Descriptors: Artificial Intelligence, Computer Software, Computer Assisted Testing, Second Language Instruction
Dave Kush; Anne Dahl; Filippa Lindahl – Second Language Research, 2024
Embedded questions (EQs) are islands for filler--gap dependency formation in English, but not in Norwegian. Kush and Dahl (2022) found that first language (L1) Norwegian participants often accepted filler-gap dependencies into EQs in second language (L2) English, and proposed that this reflected persistent transfer from Norwegian of the functional…
Descriptors: Transfer of Training, Norwegian, Native Language, Grammar
Christine G. Casey, Editor – Centers for Disease Control and Prevention, 2024
The "Morbidity and Mortality Weekly Report" ("MMWR") series of publications is published by the Office of Science, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. Articles included in this supplement are: (1) Overview and Methods for the Youth Risk Behavior Surveillance System --…
Descriptors: High School Students, At Risk Students, Health Behavior, National Surveys
Alnasraween Moen Salman; Shahadab, Fwaz Hasan – Cypriot Journal of Educational Sciences, 2022
The current study aimed to identify the obstacles of teaching courses during distance learning in light of e-learning quality standards. A survey consisting of 21 items was gathered from 146 faculty staff members during the first semester of the academic year (2021-2022). To achieve the objectives of this study, a questionnaire was used after…
Descriptors: Barriers, Distance Education, Online Courses, Electronic Learning
Angelone, Anna Maria; Galassi, Alessandra; Vittorini, Pierpaolo – International Journal of Learning Technology, 2022
The adoption of computerised adaptive testing (CAT) instead of classical testing (FIT) raises questions from both teachers' and students' perspectives. The scientific literature shows that teachers using CAT instead of FIT should experience shorter times to complete the assessment and obtain more precise evaluations. As for the students, adaptive…
Descriptors: Adaptive Testing, Computer Assisted Testing, College Freshmen, Student Attitudes
Hodge, Marie Antoinette; Chan, Esther; Sutherland, Rebecca; Ong, Natalie; Bale, Gillian; Cramsie, Jane; Drevensek, Suzi; Silove, Natalie – Journal of Psychoeducational Assessment, 2022
Tele-assessments may enable specialist evaluation of students in schools and their progress following intervention. The aim of this project was to evaluate the feasibility of using videoconferencing technology to assess students with reading difficulties in the school setting and obtain the perspectives of teachers supporting the students during…
Descriptors: Computer Assisted Testing, Educational Technology, Videoconferencing, Student Evaluation
Greenwood, Charles R.; Higgins, Susan; McKenna, Meaghan; Buzhardt, Jay; Walker, Dale; Ai, Jun; Irvin, Dwight W.; Grasley-Boy, Nikki – Journal of Early Intervention, 2022
Universal screening and progress monitoring are evidence-based practices in early intervention/early childhood special education (EI/ECSE). Individual Growth and Development Indicators (IGDIs) for infants/toddlers are measures that programs can use for universal screening, progress monitoring, intervention decision-making, and accountability.…
Descriptors: Screening Tests, Progress Monitoring, Infants, Toddlers
Thomas, Leiah J. G.; Lee, Monica G.; Todd, Cate Smith; Lynch, Kathleen; Loeb, Susanna; McConnell, Scott; Carlis, Lydia – Journal of Early Intervention, 2022
Many preschool agencies nationwide continue to experience closures and/or conversions to virtual or hybrid instruction due to the ongoing coronavirus disease 2019 (COVID-19) pandemic. Despite the importance of understanding young children's learning and development during the COVID emergency, limited knowledge exists on adaptable practices for…
Descriptors: Preschool Education, Disadvantaged Youth, COVID-19, Pandemics
Ozdemir, Burhanettin; Gelbal, Selahattin – Education and Information Technologies, 2022
The computerized adaptive tests (CAT) apply an adaptive process in which the items are tailored to individuals' ability scores. The multidimensional CAT (MCAT) designs differ in terms of different item selection, ability estimation, and termination methods being used. This study aims at investigating the performance of the MCAT designs used to…
Descriptors: Scores, Computer Assisted Testing, Test Items, Language Proficiency
Arslan, Kürsat – International Online Journal of Education and Teaching, 2022
This study aims to determine the attitudes and opinions of pre-service IT teacher candidates regarding online testing at the first period of the COVID-19 pandemic. This research is a descriptive study with explanatory sequential mixed method design. The study sample consisted of 69 teacher candidates enrolled in 3 different courses lectured by the…
Descriptors: Information Technology, Preservice Teachers, Student Attitudes, Computer Assisted Testing
Merhi, Mohammad I.; Meisami, Alex – Decision Sciences Journal of Innovative Education, 2022
This study examines the factors that impact learners' satisfaction with web-based assessment platforms designed by publishers. The research model investigates the intermediate role of autonomy and competency from the self-determination theory. The data are collected from 324 undergraduate business students in a mid-western U.S. institution who…
Descriptors: Undergraduate Students, Student Satisfaction, Computer Assisted Testing, Web Based Instruction

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