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Rebman, Carl M., Jr.; White, Gwendolyn; Wimmer, Hayden; Powell, Loreen Marie; Booker, Queen E. – Information Systems Education Journal, 2021
The corona virus (COVID-19) caused serious havoc on society impacting all industries resulting in major changes in business practices, operations, and policy. In the case of academia, at a moment's notice, all universities that used face-to-face instruction were forced to move to an online format and make serious modification to successful…
Descriptors: COVID-19, Pandemics, Computer Software, Specialists
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
Pfordresher, Peter Q.; Demorest, Steven M. – Journal of Research in Music Education, 2021
The purpose of this study was to analyze a large sample of volunteers from the general population who were tested with an identical online measure of singing accuracy. A sample of 632 participants completed the Seattle Singing Accuracy Protocol (SSAP), a standardized measure of singing accuracy, available online, that includes a test of pitch…
Descriptors: Correlation, Accuracy, Singing, Computer Assisted Testing
Linlin, Cao – English Language Teaching, 2020
Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Irvin, P. Shawn; Pilger, Marissa; Sáez, Leilani; Alonzo, Julie – Behavioral Research and Teaching, 2016
Identifying and measuring indicators of learning difficulties among young children and implementing effective instructional approaches are complicated, particularly during the transition to kindergarten. Purposeful school-based transition policies and practices support teacher and school decision-making and, thus, can ease the…
Descriptors: Needs Assessment, Surveys, Prevention, Screening Tests
Sumande, Caroline T.; Castolo, Carmencita L.; Comendador, Benilda Eleanor V. – Turkish Online Journal of Distance Education, 2016
The study addressed two questions: what is the ICT level of confidence of the course specialists handling Open University classes, and to what extent do course specialists integrated ICT applications such as word processing, electronic spread sheet, presentation software, YouTube and etc. in their OUS classes? The instruments were administered to…
Descriptors: Foreign Countries, Information Technology, Self Esteem, Specialists
Tannenbaum, Richard J.; Wylie, E. Caroline – ETS Research Report Series, 2008
The Common European Framework of Reference (CEFR) describes language proficiency in reading, writing, speaking, and listening on a 6-level scale. In this study, English-language experts from across Europe linked CEFR levels to scores on three tests: the TOEFL® iBT test, the TOEIC® assessment, and the TOEIC "Bridge"™ test.…
Descriptors: Language Tests, Second Language Learning, English (Second Language), Computer Assisted Testing