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Harvey-Scholes, Calum – Computer Assisted Language Learning, 2018
Software can facilitate English as a Foreign Language (EFL) students' self-correction of their free-form writing by detecting errors; this article examines the proportion of errors which software can detect. A corpus of 13,644 words of written English was created, comprising 90 compositions written by Spanish-speaking students at levels A2-B2…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Correction
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Ranalli, Jim; Link, Stephanie; Chukharev-Hudilainen, Evgeny – Educational Psychology, 2017
An increasing number of studies on the use of tools for automated writing evaluation (AWE) in writing classrooms suggest growing interest in their potential for formative assessment. As with all assessments, these applications should be validated in terms of their intended interpretations and uses. A recent argument-based validation framework…
Descriptors: Writing Evaluation, Feedback (Response), Formative Evaluation, Decision Making
El-Banna, Adel I.; Naeem, Marwa A. – Online Submission, 2016
This research work aimed at making use of Machine Translation to help students avoid some syntactic, semantic and pragmatic common errors in translation from English into Arabic. Participants were a hundred and five freshmen who studied the "Translation Common Errors Remedial Program" prepared by the researchers. A testing kit that…
Descriptors: Computational Linguistics, Translation, Statistical Analysis, Syntax
Radi, Odette Bourjaili – International Association for Development of the Information Society, 2015
The content of this paper will focus on both language and computer practices and how school age students develop their literacy skills in the two domains of "language" and "computers." The term literacy is a broad concept that has attracted many interpretations over the years. Some of the concepts raised by the literature apply…
Descriptors: Technology Uses in Education, Educational Technology, Technology Integration, Student Attitudes
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Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
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Shim, Yae Jie – Teaching English with Technology, 2013
The error-correction program "Criterion" provides students with an immediate essay feedback using tools that can analyze and review writing automatically. This feedback covers grammar, usage, mechanics, style, organization, and development. With its diagnostic tools for scoring essays and offering relevant feedback, the error-correction…
Descriptors: Error Correction, Writing Evaluation, Essays, Scoring
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Wilches, Astrid – GIST Education and Learning Research Journal, 2014
The purpose of this study is to investigate learners' perceptions of the benefits of tasks using voice tools to reinforce their oral skills. Additionally, this study seeks to determine what aspects of task design affected the students' perceptions. Beginner learners aged 18 to 36 with little or no experience in the use of technological tools for…
Descriptors: Foreign Countries, Oral Language, Educational Benefits, Computer Mediated Communication
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Stafford, Catherine A.; Bowden, Harriet Wood; Sanz, Cristina – Language Learning, 2012
Input exposure is essential for nonprimary language learning, but the importance of explicit instruction and corrective feedback continues to be debated. If instruction is required, how might it be optimized in terms of its nature and timing? In this study, 65 Spanish-English bilinguals were introduced to Latin through an interactive computer…
Descriptors: Feedback (Response), Experimental Groups, Sentences, Cues
Blair, Kristen Pilner – ProQuest LLC, 2009
Research addressing the effectiveness of feedback for learning has focused on many dimensions of feedback, including the timing (Kulik & Kulik, 1988), type (Mory, 2004), and amount of available information (Dempsey et. al, 1993). Much of the feedback research in education has tacitly assumed that the available information is perceived, and any…
Descriptors: Feedback (Response), Instructional Design, Error Correction, Computer Software