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Alexander James Kwako – ProQuest LLC, 2023
Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…
Descriptors: Gender Bias, Natural Language Processing, Native Language, Computational Linguistics
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Zamzami Zainuddin – Asia Pacific Education Review, 2024
Increasing student engagement and improving learning outcomes are ongoing issues in higher education worldwide. These issues were particularly pertinent during the COVID-19 pandemic when remote learning was selected as the primary instructional learning setting. This study aims to assess the impact of gamification-based quiz instruction in driving…
Descriptors: Game Based Learning, Distance Education, Videoconferencing, Outcomes of Education
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Wenyangzi Shi; Zohreh Shahbazi – Canadian Journal of Science, Mathematics and Technology Education, 2024
The COVID-19 pandemic has brought the rapid transition to online quantitative education, leading to unique challenges and opportunities in assessments for both students and instructors. Focusing on undergraduate students and teaching staff at a Canadian university, this study investigates and compares their experiences and perspectives regarding…
Descriptors: Statistics Education, Online Courses, COVID-19, Pandemics
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David Allen; Rie Koizumi – Language Assessment Quarterly, 2024
"The English Speaking Achievement Test for Japanese Junior High School Students" (ESAT-J) was introduced to contribute to levelling up public English education in Tokyo in 2022. Critics, however, have made claims in the mass media against the use of the test and stakeholder groups have called for its cancellation. This paper presents an…
Descriptors: English (Second Language), Second Language Learning, Foreign Countries, Junior High School Students
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Kershree Padayachee; M. Matimolane – Teaching in Higher Education, 2025
In the shift to Emergency Remote Teaching and Learning (ERT&L) during the COVID-19 pandemic, remote assessment and feedback became a major source of discontent and challenge for students and staff. This paper is a reflection and analysis of assessment practices during ERT&L, and our theorisation of the possibilities for shifts towards…
Descriptors: Educational Quality, Social Justice, Distance Education, Feedback (Response)
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Shoeb Saleh; Abdullah Ibrahim Alsubhi – Language Testing in Asia, 2025
This study inspected how techno-competence in artificial intelligence (AI)-driven evaluations affected EFL learners' boredom, self-esteem, and writing skills. To do so, 66 Saudi Arabian male students from Saudi Arabia participated in the study. They were then split into the experimental group (EG) and the control group (CG). While the CG was…
Descriptors: Self Esteem, Writing Skills, Artificial Intelligence, English (Second Language)
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Parmin; Erna Noor Savitri; Yahya Nur Ifriza – South African Journal of Education, 2025
With the research reported here, we specifically aim to develop application products of scientific work independence instruments through science integrated learning (SIL) for various education levels (elementary schools, junior high schools, senior high schools, and universities). The SIL model was applied in learning to determine specific…
Descriptors: Elementary School Students, Secondary School Students, College Students, Student Development
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Semiyu Adejare Aderibigbe; Maher Omar; Hussein Elmehdi; Laura Colucci-Gray; Khaled Hamad; Abdallah Shanableh; Hussein Al-Othman; Mohamed Hassan Taha; Wiam Elshami – Turkish Online Journal of Distance Education, 2025
The COVID-19 pandemic precipitated a rapid shift to virtual learning environments (VLEs) in higher education institutions (HEIs), presenting a complex array of challenges and opportunities. This study investigates the critical factors influencing faculty members' swift transition to VLEs during emergencies, focusing on a semi-government Emirati…
Descriptors: Foreign Countries, COVID-19, Pandemics, College Faculty
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Panachanok Chanwaiwit; Lalida Wiboonwachara – rEFLections, 2025
Chiang Mai Rajabhat University Test of English Proficiency (CMRU-TEP) is a required English proficiency test for all CMRU students before graduation. Despite its meticulous design, there is an opportunity for students to improve their scores through focused efforts and targeted support. This study employs an explanatory sequential mixed-methods…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Proficiency
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Schneider, M. Christina; Agrimson, Jared; Veazey, Mary – Educational Measurement: Issues and Practice, 2022
This paper presents results of a score interpretation study for a computer adaptive mathematics assessment. The study purpose was to test the efficacy of item developers' alignment of items to Range Achievement-Level Descriptors (RALDs; Egan et al.) against the empirical achievement-level alignment of items to investigate the use of RALDs as the…
Descriptors: Computer Assisted Testing, Mathematics Tests, Scores, Grade 3
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Cowan, Nelson; Guitard, Dominic; Greene, Nathaniel R.; Fiset, Sylvain – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In the traditional conception of working memory for word lists, phonological codes are used primarily, and semantic codes are often discarded or ignored. Yet, other evidence indicates an important role for semantic codes. We carried out a preplanned set of four experiments to determine whether phonological and semantic codes are used similarly or…
Descriptors: Phonology, Semantics, Short Term Memory, Rhyme
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Los, James E.; Witmer, Sara E.; Roseth, Cary J. – School Psychology Review, 2022
Scores from computer-based tests are increasingly used to inform a variety of school- and student-level decisions. An underlying assumption is that the associated scores represent effortful responding by each student with respect to the tasks presented. An innovative method for examining evidence for this assumption involves an examination of item…
Descriptors: Student Motivation, Tests, Middle School Students, Computer Assisted Testing
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Kochem, Tim; Beck, Jeanne; Goodale, Erik – CALICO Journal, 2022
Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…
Descriptors: Computer Software, Teaching Methods, Audio Equipment, Computer Assisted Instruction
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Lam, Tsz Yiu; Dongol, Brijesh – Interactive Learning Environments, 2022
The properties of a blockchain such as immutability, provenance, and peer-executed smart contracts could bring a new level of security, trust, and transparency to e-learning. In this paper, we introduce our proof-of-concept blockchain-based e-learning platform developed to increase transparency in assessments and facilitate curriculum…
Descriptors: Information Technology, Web Based Instruction, Instructional Innovation, Electronic Learning
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Vanderburg, Robert M.; Gibson, Nicholas; Cowling, Michael A. – International Journal for Technology in Mathematics Education, 2022
In 2015, all Australian education ministers agreed that from 1 July 2016 the Government would initiate the Literacy and Numeracy Test for Initial Teacher Education (LANTITE), designed to verify that all prospective teachers could demonstrate the literacy and numeracy skills required in their profession. The LANTITE quickly became another hurdle…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Computer Assisted Testing
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