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Understanding How Gamification of English Morphological Analysis in a Blended Learning Environment Influences Students' Engagement and Reading Comprehension
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Shen Qiao; Samuel Kai Wah Chu; Susanna Siu-sze Yeung – Computer Assisted Language Learning, 2025
Morphological analysis is a form of problem solving to work out the meanings of unfamiliar words by applying knowledge of morphemes. It has emerged recently as an important predictor of reading comprehension. However, while gamification can potentially be used to teach this skill, few studies have examined its use. To address this, a…
Descriptors: Game Based Learning, English (Second Language), Second Language Learning, Second Language Instruction
Using Internet Resources in the Development of English Pronunciation: The Case of the Past Tense -ed Ending
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Kruk, Mariusz; Pawlak, Miroslaw – Computer Assisted Language Learning, 2023
The paper presents the results of a quasi-experimental study which was conducted with a view to determining the effect of an intervention in the form of the application of teacher-designed Internet-based resources (i.e., websites, podcasts, movie clips) that students could use autonomously on the development of pronunciation of the English regular…
Descriptors: Pronunciation Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
The Applications and Effects of Learning English through Augmented Reality: A Case Study of "Pokémon Go"
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Wu, Mei-Hung – Computer Assisted Language Learning, 2021
The rise of augmented reality hits the world of Information, Communication and Technology which brings about the booming phenomenon of mobile games. One of hot mobile game with the successful application of augmented reality is "Pokémon Go," issued in August 2016. The uses of augmented reality not only give the gamers a new kind…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Computer Games
Using an ANN-Based Computational Model to Simulate and Evaluate Chinese Students' Individualized Cognitive Abilities Important in Their English Acquisition
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Yang, Juan; Thomas, Michael S. C.; Qi, Xiaofei; Liu, Xuan – Computer Assisted Language Learning, 2019
From a psycholinguistic perspective of view, there are many cognitive differences that matter to individuals' second-language acquisition (SLA). Although many computer-assisted tools have been developed to capture and narrow the differences among learners, the use of these strategies may be highly risky because changing the environments or the…
Descriptors: Foreign Countries, Cognitive Ability, Phonological Awareness, English Teachers
Computer-Assisted Detection of 90% of EFL Student Errors
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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
Using Eye Tracking to Understand the Responses of Learners to Vocabulary Learning Strategy Instruction and Use
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Liu, Pei-Lin – Computer Assisted Language Learning, 2014
This study examined the influence of morphological instruction in an eye-tracking English vocabulary recognition task. Sixty-eight freshmen enrolled in an English course and received either traditional or morphological instruction for learning English vocabulary. The experimental part of the study was conducted over two-hour class periods for…
Descriptors: Eye Movements, Second Language Instruction, Comparative Analysis, Morphology (Languages)
Grammatical Error Diagnosis in Fluid Construction Grammar: A Case Study in L2 Spanish Verb Morphology
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Beuls, Katrien – Computer Assisted Language Learning, 2014
Construction grammar (CG) has been proposed as an adequate grammatical formalism for building intelligent language tutoring systems because it is highly compatible with the learning strategies observed in second language learning. Unfortunately, the lack of computational CG implementations has made it impossible in the past to corroborate these…
Descriptors: Error Analysis (Language), Grammar, Second Language Learning, Spanish