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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
Volodina, Elena; Pilán, Ildikó; Alfter, David – Research-publishing.net, 2016
The paper describes initial efforts on creating a system for the automatic assessment of Swedish second language (L2) learner essays from two points of view: holistic evaluation of the reached level according to the Common European Framework of Reference (CEFR), and the lexical analysis of texts for receptive and productive vocabulary per CEFR…
Descriptors: Swedish, Second Language Learning, Classification, Essays
Chapelle, Carol A.; Chung, Yoo-Ree – Language Testing, 2010
Advances in natural language processing (NLP) and automatic speech recognition and processing technologies offer new opportunities for language testing. Despite their potential uses on a range of language test item types, relatively little work has been done in this area, and it is therefore not well understood by test developers, researchers or…
Descriptors: Test Items, Computational Linguistics, Testing, Language Tests
Loucky, John Paul – Online Submission, 2007
The aim of this study was to find ways to improve online reading and vocabulary learning. Various new types of online reading comprehension and vocabulary development programs and tests were compared in this study to consider how useful they may be for guiding individual or classroom L2 vocabulary instruction. It explored how these programs seek…
Descriptors: Reading Comprehension, Vocabulary Development, Second Language Instruction, Second Language Learning