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Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
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Cheng, Shuk Ling – International Society for Technology, Education, and Science, 2022
This paper examines the English grammatical errors and their patterns in the written assignments of a General Education course at City University of Hong Kong. Subjects are 60 local and non-local (exchange) undergraduate students who are all L2 learners with diversified education and disciplinary background (i. e. their major of study) which are…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Grammar
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Leow, Ronald P.; Thinglum, Anne; Leow, Stephanie A. – Studies in Second Language Learning and Teaching, 2022
Whether type of written corrective feedback (WCF) impacts L2 learning has been investigated for decades. While many product-oriented studies report conflicting findings, the paucity of studies adopting both a process-oriented and curricular approach (e.g., Caras, 2019) underscores the call for further research on: (1) the processing dimension of…
Descriptors: Error Correction, Second Language Learning, Second Language Instruction, Spanish
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Binger, Cathy; Kent-Walsh, Jennifer; King, Marika; Webb, Eliza; Buenviaje, Elijia – Communication Disorders Quarterly, 2017
Four 5-year-old children with receptive language within normal limits and who required augmentative and alternative communication (AAC) received instruction in producing six different semantic--syntactic structures (three treatment and three generalization targets). Participants accessed single-meaning graphic symbols using an AAC app on an iPad…
Descriptors: Sentences, Augmentative and Alternative Communication, Semantics, Syntax
Velez, Martin – ProQuest LLC, 2019
Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…
Descriptors: Computer Science Education, Programming, Introductory Courses, Computer Software
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Bailey, Daniel; Lee, Andrea Rakushin – TESOL International Journal, 2020
Different genres of writing entail various levels of syntactic and lexical complexity, and how this complexity influences the results of Automatic Writing Evaluation (AWE) programs like Grammarly in second language (L2) writing is unknown. This study explored the use of Grammarly in the L2 writing context by comparing error frequency, error types…
Descriptors: Grammar, Computer Assisted Instruction, Error Correction, Feedback (Response)
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Xu, Jinfen; Fan, Yumei; Xu, Qingting – Language Awareness, 2019
This laboratory-based research investigated how 40 university EFL learners responded to their peers' linguistic errors and made their moment-to-moment decisions of whether or not to provide corrective feedback (CF) to their peers' errors in task-based peer interaction. Data from the transcripts of videotaped pair interaction and audio-taped…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Correction
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Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
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Slevc, L. Robert; Ferreira, Victor S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Natural language contains disfluencies and errors. Do listeners simply discard information that was clearly produced in error, or can erroneous material persist to affect subsequent processing? Two experiments explored this question using a structural priming paradigm. Speakers described dative-eliciting pictures after hearing prime sentences that…
Descriptors: Experimental Psychology, Error Patterns, Priming, Syntax
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Fredholm, Kent – Research-publishing.net, 2014
The use of online translation (OT) is increasing as more pupils receive laptops from their schools. This study investigates OT use in two groups of Swedish pupils (ages 17-18) studying Spanish as an L3: one group (A) having free Internet access and the spelling and grammar checker of Microsoft Word, the other group (B) using printed dictionaries…
Descriptors: Translation, Morphology (Languages), Accuracy, Questionnaires
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Fletcher, James – Journal of Learning Disabilities, 1991
This study analyzed error recovery patterns based on eye movement measures of sentence parsing, across reading level and error type, in 10 adolescents with reading disabilities and 10 controls. The groups' error recovery strategies were similar in pattern and frequency; patterns were largely organized, strategic, and efficient; and multiple…
Descriptors: Decoding (Reading), Error Analysis (Language), Error Correction, Error Patterns
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Morris, Frank – Language Learning & Technology, 2005
The current study examined the provision of corrective feedback and learner repair following feedback in the interactional context of child-to-child conversations, particularly computer mediated, in an elementary Spanish immersion class. The relationship among error types, feedback types, and immediate learner repair were also examined. A total of…
Descriptors: Feedback (Response), Internet, Computer Software, Error Correction