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Almusharraf, Norah; Alotaibi, Hind – Educational Measurement: Issues and Practice, 2021
Committing errors is expected in the development of language acquisition and learning; however, there is limited research that contributes to the literature on the effect of gender of English as a foreign language (EFL) writing. This study explored the gender differences in EFL students' writing using two approaches: human evaluation and…
Descriptors: Gender Differences, Second Language Learning, Second Language Instruction, English (Second Language)
Ekaterina Tabenkina – ProQuest LLC, 2023
The present project is a research-based and practice-tested online synchronous curriculum for English language learners with the Russian language mother tongue. The curriculum's theoretical component is grounded in Vygotsky's, Leont'ev', and Engestrom's "Cultural Historical Activity Theory" as well as in scholarly papers on the influence…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
Pratiwi, Damar Isti; Puspitasari, Armyta; Fikria, Ainun – TESL-EJ, 2023
While writing has evolved away from the conventional method of using pens and paper in favor of digital tools (Li et al., 2019), English teachers continue to face difficulties in teaching writing. This study shows how mind-mapping and the program, Writeabout, can be merged for online writing classes in English for Specific Purposes (ESP)…
Descriptors: Writing Instruction, Teaching Methods, Cognitive Mapping, Computer Assisted Instruction
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
Yeh, Shiou-Wen; Lo, Jia-Jiunn – Computers & Education, 2009
Giving feedback on second language (L2) writing is a challenging task. This research proposed an interactive environment for error correction and corrective feedback. First, we developed an online corrective feedback and error analysis system called "Online Annotator for EFL Writing". The system consisted of five facilities: Document Maker,…
Descriptors: Feedback (Response), Experimental Groups, Control Groups, College Freshmen
Amaral, Luiz A.; Meurers, W. Detmar – CALICO Journal, 2009
Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…
Descriptors: Grammar, Computer Assisted Instruction, Identification, Error Analysis (Language)
Nagata, Noriko – CALICO Journal, 2009
This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package "ROBO-SENSEI: Personal Japanese Tutor" (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic…
Descriptors: Textbooks, Computer Assisted Instruction, Computer Software, Natural Language Processing
Peer reviewedYang, Jie Chi; Akahori, Kanji – CALICO Journal, 1998
Describes development and evaluation of an error analysis procedure for a computer-assisted language learning program using natural language processing techniques. The program can be used for learning passive voice in Japanese on any World Wide Web browser. The program enables learners to type sentences freely, detects errors, and displays…
Descriptors: Computer Assisted Instruction, Computer Software, Computer Software Development, Error Analysis (Language)
Peer reviewedBurston, Jack – CALICO Journal, 1996
Four grammar checkers, all of French Canadian origin, were evaluated: "Le Correcteur 101,""GramR,""Hugo Plus," and "French Proofing Tools." Results indicate that "Le Correcteur 101" is the best French grammar checker on the market and worth its premium cost. (two references) (CK)
Descriptors: Computer Assisted Instruction, Computer Software, Error Analysis (Language), Error Correction
Peer reviewedRieber, Lloyd – College Teaching, 1992
One college writing teacher engaged his class in the revision of a computer program to check grammar, focusing on improvement of the algorithms for identifying inappropriate uses of the passive voice. Process and problems of constructing new algorithms, effects on student writing, and other algorithm applications are discussed. (MSE)
Descriptors: Algorithms, College Instruction, Computer Assisted Instruction, Computer Software
Peer reviewedLevison, Michael; Lessard, Greg – Computer Assisted Language Learning, 1996
Describes a language generation system, which, given data files describing a natural language, generates utterances of the class the user has specified. The system can exercise control over the syntax, lexicon, morphology, and semantics of the language. This article explores a range of the system's potential applications to second-language…
Descriptors: Computer Assisted Instruction, Computer Software, Error Analysis (Language), Learning Strategies
Helmreich, Stephen C. – IDEAL, 1987
An "intelligent" system for constructing computer-assisted pattern drills to be used in second language instruction is proposed. First, some of the difficulties in designing intelligent error analysis are discussed briefly. Two major approaches to error analysis in computer-assisted instruction, pattern matching and parsing, are described, and…
Descriptors: Authoring Aids (Programing), Computer Assisted Instruction, Computer Software, Error Analysis (Language)
Peer reviewedPennington, Martha C. – System, 1992
A case is made against the educational application with nonproficient writers of "canned" feedback provided by text analysis computer programs marketed as grammar checkers and style analyzers. The feedback does not teach students. Alternative approaches for giving students feedback in the electronic medium are offered. (46 references) (Author/LB)
Descriptors: Computer Assisted Instruction, Computer Software, Educational Technology, Error Analysis (Language)
Peer reviewedLevin, Lori; And Others – CALICO Journal, 1991
ALICE, a multimedia framework for intelligent computer-assisted language instruction (ICALI) at Carnegie Mellon University (PA), consists of a set of tools for building a number of different types of ICALI programs in any language. Its Natural Language Processing tools for syntactic error detection, morphological analysis, and generation of…
Descriptors: Computer Assisted Instruction, Computer Software, Error Analysis (Language), Higher Education
Garrigues, Mylene – Francais dans le Monde, 1987
How does a computer analyze the appropriateness of a language student's response? Issues arising in the development and use of language-learning software are discussed. (MSE)
Descriptors: Authoring Aids (Programing), Computer Assisted Instruction, Computer Software, Error Analysis (Language)
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