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Ruofei Zhang; Di Zou – Computer Assisted Language Learning, 2024
Self-regulated learning has been frequently investigated and reported to be effective for second language education, so increasingly more researchers and educators have been interested in cultivating self-regulated second language learners. To assist researchers and educators, it appears beneficial to review previous studies concerning the…
Descriptors: Metacognition, Second Language Instruction, Second Language Learning, Research Reports
Barghamadi, Maryam; Rogers, James; Arciuli, Joanne; Han, Weifeng; Muller, Amanda – Australian Journal of Applied Linguistics, 2023
In second language learning research, L1-L2 congruency refers to the similarity in form and meaning of the way a word or phrase is said between two languages. If there is low L1-L2 congruency, the learning burden of a word or phrase can be higher, and thus, such items should be focused on more in teaching to help learners avoid errors. For…
Descriptors: Native Language, Second Language Learning, Phrase Structure, Indo European Languages
Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
Rehman, Ivana; Silpachai, Alif; Levis, John; Zhao, Guanlong; Gutierrez-Osuna, Ricardo – Language Teaching Research, 2022
The accurate identification of likely segmental pronunciation errors produced by nonnative speakers of English is a longstanding goal in pronunciation teaching. Most lists of pronunciation errors for speakers of a particular first language (L1) are based on the experience of expert linguists or teachers of English as a second language (ESL) and…
Descriptors: Pronunciation, English (Second Language), Second Language Learning, Second Language Instruction
Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
Paragas, Jeger P.; Francisco, Christopher D. C. – Online Submission, 2020
The study identified the performance of Grade 7 students enrolled in Umingan Central National High School across their academic performance in English under creative writing skill. In gathering the profile of the students and their performance in identifying morphological and syntactical errors, descriptive and correlational research designs with…
Descriptors: Social Media, Creative Writing, Writing Instruction, High School Students
Phettongkam, Husna – LEARN Journal: Language Education and Acquisition Research Network, 2017
The study aims to explore the grammatical errors in spoken English of Thai University learners in a communicative business English course. The main objectives of the research study are to identify the types and frequency of grammatical errors. Collected data were analyzed according to the surface structure taxonomy to present a general overview.…
Descriptors: Grammar, Error Analysis (Language), Business English, English (Second Language)
Can, Cem – Journal of Education and Training Studies, 2017
As learner corpora have presently become readily accessible, it is practicable to examine interlanguage errors and carry out error analysis (EA) on learner-generated texts. The data available in a learner corpus enable researchers to investigate authentic learner errors and their respective frequencies in terms of types and tokens as well as…
Descriptors: Verbs, Computational Linguistics, English (Second Language), Second Language Learning