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Dong-Ok Won; Yu Kyoung Shin; Ho-Jung Kim; Isaiah WonHo Yoo – Language Assessment Quarterly, 2025
Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…
Descriptors: Artificial Intelligence, Computer Software, Phrase Structure, Native Language
Tong Bao – Journal of Computer Assisted Learning, 2025
Background: Given the limited availability of effective tools for Korean language learning among students with autism spectrum disorder (ASD), there is a need to explore innovative educational technologies to support the development of reading skills in Korean language education for this population. Objectives: The purpose of this study is to…
Descriptors: Korean, Autism Spectrum Disorders, Scores, Reading Comprehension
Gregory J. Heathco – Communication Teacher, 2025
University classrooms are increasingly populated by students with diverse nationalities and native languages (L1). The growing number of students in English-led classrooms who speak English as a second or lower language (L2) may face added difficulties in understanding the specific task objectives or directions, as explained by native-…
Descriptors: English (Second Language), Second Language Learning, Comparative Analysis, Language Processing
Goswami, Bishnu; Pal, Sarmila – Education and Information Technologies, 2022
We introduce two new software tools, Bongojontro and Bongojontro Baksobandi, aimed at reducing the barriers to programming for native speakers of Bengali, the fifth most spoken language in the world. The highlights of these software include programming in the native language of Bengali, simpler construction of programs which is friendly for…
Descriptors: Computer Software, Educational Technology, Technology Uses in Education, Indo European Languages
Nouf Aljasir – International Journal of Computer-Assisted Language Learning and Teaching, 2023
This mixed-method research was conducted to examine the perceptions of self-learners of English as a foreign language (EFL) toward mobile learning (m-learning) apps. It integrated several constructs from the technology acceptance model (TAM) and constructivist learning theory (CLT) to provide a detailed picture of the learners' perceptions. The…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Computer Assisted Instruction
Kim, Kyung; Clariana, Roy B. – Educational Technology Research and Development, 2019
Previous research has shown that the knowledge structure (KS) complexity of a first language (L1) under certain conditions can strongly influence the KS complexity established in a second language (L2), and then this more complex L2 KS reciprocally influences L2 text comprehension. This present experimental investigation seeks to identify the…
Descriptors: Native Language, Second Language Learning, Second Language Instruction, English (Second Language)
Thibaut, Patricia; Carvalho, Lucila – E-Learning and Digital Media, 2021
Young people are increasingly connected in a digital and globalized world, but technology-mediated interactions alone do not necessarily lead to a culture of meaningful participation and meaning making processes. Students from disadvantaged contexts are especially vulnerable to this. Drawing on the "Activity-Centred Analysis and Design"…
Descriptors: Disadvantaged Schools, Cultural Capital, Case Studies, High School Students

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