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Karjanto, Natanael – Education Sciences, 2021
This article covers how a computer algebra system (CAS) "wxMaxima" can be explored for teaching single-variable and multivariable calculus to Korean digital natives. We present several examples where "wxMaxima" can handle calculus problems easily, not straightforwardly but still successfully with some human intervention, and…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Intervention
Gao, Ya; Pan, Lin – Language Learning Journal, 2023
Mobile-assisted language learning is a growing feature of contemporary language learning, and their distinct gamification design produces new and increasingly popular contexts for language learning. This paper explores the gamification features of the two most popular EFL vocabulary learning applications widely used by Asian learners --…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Younmi Jeon – ProQuest LLC, 2023
A number of studies in mobile learning research have shown that the use of computer-assisted language learning (CALL) and many different types of technology within language learning contexts can potentially influence learning of students, particularly the younger generation. In the current study, two participant groups -- EFL teachers and parents…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Kim, Heyoung; Yang, Hyejin; Shin, Dongkwang; Lee, Jang Ho – Language Learning & Technology, 2022
The purpose of this article is to set out the design principles and architecture of a second language (L2) learning voice chatbot. Building on L2 acquisition theories and chatbot research, in this article, we report on a South Korean government-funded longitudinal project in which we designed and developed a chatbot called "Ellie".…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Software
Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
Jeon, Jaeho – Education and Information Technologies, 2022
The landscape of self-directed learning in mobile-assisted language learning (MALL) is changing from mechanical and repetitive to communicative and meaningful learning. This is due to the development and integration of conversational agents into mobile devices. Students can learn a language via a self-directed interactive app (SIA) where they can…
Descriptors: Telecommunications, Computer Assisted Instruction, Independent Study, Second Language Learning
Luef, Eva Maria; Ghebru, Bethel; Ilon, Lynn – Interactive Learning Environments, 2020
Korea is widely recognized to be among the world's most advanced digital countries with nearly every university student owning the latest smartphone. Yet language education is largely still taught in traditional classroom methods. This study was designed to see how students in two major universities used smartphone apps to informally supplement…
Descriptors: Computer Software, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Choi, Seohyun; Kim, Dongsik; Jung, Jaewon – IAFOR Journal of Education, 2021
Emphasis manipulation is a way to help learners by directing their attention to particular subcomponents of a learning task. This study investigated the effects of different approaches to emphasis manipulation on knowledge transfer and cognitive load. This was done by examining the impact of three task selection strategies: system-controlled,…
Descriptors: Cognitive Ability, Task Analysis, High School Students, Comparative Analysis
Luef, Eva Maria; Ghebru, Bethel; Ilon, Lynn – Electronic Journal of e-Learning, 2019
Use and development of applications for smartphones (so-called 'apps') continue to rise, and it comes as no surprise that language learning apps (such as Google Translate) are immensely popular among the younger generation. But, do these apps actual help students learn a language and, if so, how is apps usage influenced by the proficiency of the…
Descriptors: Second Language Learning, Second Language Instruction, Computer Software, Telecommunications
Laffey, Dennis – English Teaching, 2020
This study compares the results of a survey of vocabulary learning strategy (VLS) use and perceived helpfulness by Korean university students to the taxonomy of VLS first presented by Schmitt. VLS suggested by previous research by the author and changes in technology since the original taxonomy was compiled were added to Schmitt's list. The survey…
Descriptors: Vocabulary Development, Learning Strategies, Second Language Learning, Second Language Instruction
Kim, Byoung Gwan; Shim, Hye Rin – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study investigated the optimal conditions under which foreign language learning takes place using a smartphone. The authors proposed that two factors, chunking and imagery, would increase language learning. On the basis of previous findings, they formulated three hypotheses: (a) the use of images will have a positive effect on learning…
Descriptors: Phrase Structure, Independent Study, Grade 7, English (Second Language)
Bailey, Daniel; Lee, Andrea Rakushin – TESOL International Journal, 2020
Different genres of writing entail various levels of syntactic and lexical complexity, and how this complexity influences the results of Automatic Writing Evaluation (AWE) programs like Grammarly in second language (L2) writing is unknown. This study explored the use of Grammarly in the L2 writing context by comparing error frequency, error types…
Descriptors: Grammar, Computer Assisted Instruction, Error Correction, Feedback (Response)
Zhe, Li; Meng, Cheng; Takanori, Maesako; Juan, Li – International Journal of Distance Education Technologies, 2018
This article describes the design and application of a computer-based system for simultaneously teaching Korean, English and Japanese languages in a classroom setting using knowledge visualization techniques to show the relationships between vocabularies, grammars and meanings. The system consists of a knowledge database of Korean, English, and…
Descriptors: Multilingualism, Native Speakers, Blended Learning, Teacher Student Relationship
Kwon, Oh-Woog; Kim, Young-Kil; Lee, Yunkeun – Research-publishing.net, 2016
This paper introduces a Dialog-Based Computer Assisted second-Language Learning (DB-CALL) system using task-oriented dialogue processing technology. The system promotes dialogue with a second-language learner for a specific task, such as purchasing tour tickets, ordering food, passing through immigration, etc. The dialog system plays a role of a…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Shin, Dong Sun; Chung, Min Suk; Park, Hyo Seok; Park, Jin Seo; Hwang, Sung Bae – Anatomical Sciences Education, 2011
The interpretation of computed tomographs (CTs) and magnetic resonance images (MRIs) to diagnose clinical conditions requires basic knowledge of sectional anatomy. Sectional anatomy has traditionally been taught using sectioned cadavers, atlases, and/or computer software. The computer software commonly used for this subject is practical and…
Descriptors: Medical Students, Intervals, Computer Assisted Instruction, Computer Software
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