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Kyeng Gea Lee; Mark J. Lee; Soo Jung Lee – International Journal of Technology in Education and Science, 2024
Online assessment is an essential part of online education, and if conducted properly, has been found to effectively gauge student learning. Generally, textbased questions have been the cornerstone of online assessment. Recently, however, the emergence of generative artificial intelligence has added a significant challenge to the integrity of…
Descriptors: Artificial Intelligence, Computer Software, Biology, Science Instruction
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Hitoshi Nishizawa – Language Testing, 2024
Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…
Descriptors: High Stakes Tests, Language Tests, Second Language Learning, Computer Assisted Testing
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Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques
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Egbert, Jesse – Language Testing, 2017
The use of corpora and corpus linguistic methods in language testing research is increasing at an accelerated pace. The growing body of language testing research that uses corpus linguistic data is a testament to their utility in test development and validation. Although there are many reasons to be optimistic about the future of using corpus data…
Descriptors: Language Tests, Second Language Learning, Computational Linguistics, Best Practices
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Alsubait, Tahani; Parsia, Bijan; Sattler, Uli – Research in Learning Technology, 2012
Different computational models for generating analogies of the form "A is to B as C is to D" have been proposed over the past 35 years. However, analogy generation is a challenging problem that requires further research. In this article, we present a new approach for generating analogies in Multiple Choice Question (MCQ) format that can be used…
Descriptors: Computer Assisted Testing, Programming, Computer Software, Computer Software Evaluation
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Jager, Sake, Ed.; Bradley, Linda, Ed.; Meima, Estelle J., Ed.; Thouësny, Sylvie, Ed. – Research-publishing.net, 2014
The theme of EUROCALL 2014 was "CALL Design: Principles and Practice," which attracted approximately 280 practitioners, researchers and students from computer-assisted language learning (CALL) and related disciplines of more than 40 different nationalities. Over 170 presentations were delivered on topics related to this overarching…
Descriptors: Conferences (Gatherings), Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Tokmouline, Timur – 2000
This article explores whether or not it is possible for computers to be effectively used to analyze textual information. Computerization of human linguistic analysis would be enormously useful, because it would relieve many highly skilled linguistics professionals (researchers and teachers) from having to spend enormous amounts of time on the…
Descriptors: Algorithms, Artificial Intelligence, Computational Linguistics, Computer Assisted Testing