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Charlotte Beal; Rolf Steier – International Journal of Computer-Supported Collaborative Learning, 2024
In this study, we investigate how pre-service teachers' group dialogues emerged and intersected across time and space as students collaboratively constructed a video-based mind map to prepare for oral exams in a pedagogy course. The study was conducted as part of a design-based research project investigating the ways that video-based mind maps can…
Descriptors: Video Technology, Technology Uses in Education, Cooperative Learning, Concept Mapping
Jenny Harris Gibson – ProQuest LLC, 2024
This mixed-methods study explored American College Test (ACT) composite scores and Tennessee Value-Added Assessment System (TVAAS) growth scores in connection with a student's race, socioeconomic status, and gender as well as perceived factors that promote or inhibit success on the ACT. Quantitative data were collected from existing TVAAS data for…
Descriptors: College Entrance Examinations, Sex, Racial Factors, Socioeconomic Status
Ben-Yehudah, Gal; Eshet-Alkalai, Yoram – British Journal of Educational Technology, 2021
The use of digital environments for both learning and assessment is becoming prevalent. This often leads to incongruent situations, in which the study medium (eg, printed textbook) is different from the testing medium (eg, online multiple-choice exams). Despite some evidence that incongruent study-test situations are associated with inferior…
Descriptors: Reading Comprehension, Reading Tests, Test Format, Computer Assisted Testing
Niaghi, Mansoureh Rahman – MEXTESOL Journal, 2022
This study was designed to see if using Test-Teach-Test (TTT) method via "Telegram" and "Edmodo" can promote EFL Learners' pragmatic awareness. To fulfill this aim, the researcher selected 93 learners from an initial pool of 130 female, pre-intermediate learners based on their performance on the Preliminary English Test (PET).…
Descriptors: Pragmatics, Second Language Instruction, Second Language Learning, English (Second Language)
Pratiwi, Damar Isti; Amumpuni, Rengganis Siwi; Fikria, Ainun; Budiastuti, Riana Eka – International Journal of Language Education, 2023
This study attempts to investigate students' learning outcomes in TOEFL preparation class through Mobile Assisted Language Learning (MALL) for Railway Mechanical Technology. The program was designed as a TOEFL preparation class that utilized Google Form, Quizizz, and Kahoot! As game-based learning (MALL platform). It was a case study on the 3rd…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Telecommunications
Kim, Na-Young – English Teaching, 2022
The purpose of this study was to examine the impacts of AI-integrated MALL on Korean students' TOEIC preparation, by comparing with AI-integrated CALL. A total of 496 freshmen students participated in this study. They were arbitrarily assigned to AI CALL (n = 190), AI MALL (n = 164), and the control (n = 132) groups. During a 2021 academic…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Test Preparation
Nozhovnik, Oleh; Harbuza, Tetiana; Teslenko, Natalia; Okhrimenko, Olena; Zalizniuk, Viktoriia; Durdas, Alla – International Journal of Educational Methodology, 2023
The purpose of this study was to examine the potential impact of integrating the Smart Sender platform to gamify and automate L2 e-classes on students' motivation, English language proficiency in reading and language use, engagement, and attitudes towards the platform. This experimental research employed a quasi-experimental design, specifically a…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Assisted Instruction
Dasher, Holly; Pilgrim, Jodi – Texas Journal of Literacy Education, 2022
Schools around the nation are increasingly offering online testing options. House Bill (HB) 3906, passed by the 86th Texas Legislature in 2019, resulted in the STAAR redesign, which will be administered in the 2022--2023 school year. The STAAR redesign includes several components including an online test administration for the STAAR. With the…
Descriptors: Test Format, Reading Tests, School Districts, Achievement Tests
Gu, Lin; Davis, Larry; Tao, Jacob; Zechner, Klaus – Assessment in Education: Principles, Policy & Practice, 2021
Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…
Descriptors: Audio Equipment, Test Preparation, Feedback (Response), Scores
Liu, Sha; Yu, Guoxing – Language Learning & Technology, 2022
This study used eye-tracking, in combination with stimulated recalls and reflective journals, to investigate L2 learners' engagement with automated feedback and the impact of feedback explicitness and accuracy on their engagement. Twenty-four Chinese EFL learners revised their writing through Write & Improve with Cambridge, a new automated…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Feedback (Response)