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Tamilla Triantoro; Tuvana Rua; Guido Lang – Information Systems Education Journal, 2025
This study explores the effectiveness of experiential learning in teaching generative AI to entrepreneurs and small business owners. The in-person training program, grounded in Kolb's Experiential Learning Theory, aimed to enhance participants' understanding, attitudes, and perceived benefits of AI adoption. Through a structured cycle of Concrete…
Descriptors: Artificial Intelligence, Entrepreneurship, Computer Software, Experiential Learning
Dana Di Pardo Léon-Henri; Julien Henriet; Marie-Laure Betbeder; Françoise Greffier; Floran Carvalho – Teaching English with Technology, 2025
This research delves into the transformative potential of humanoid robotics and artificial intelligence (AI) in the field of Teaching English to Speakers of Other Languages (TESOL), spotlighting their innovative contributions to modern language instruction. With a focus on robot-assisted language learning (RALL) and AI-powered tools, particularly…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Technology Integration
Yeh-Zu Tzou – Interpreter and Translator Trainer, 2024
In the recent decade, project-based learning has gained popularity in translator training, with its foundation rooted in the situated learning theory. Advancements in digital technology have opened up new learning opportunities for both teachers and students in translation classrooms. One such opportunity lies in the realm of online communities…
Descriptors: Translation, Learner Engagement, Electronic Learning, Access to Education
Ji-young Shin; Yujeong Choi – Language Learning & Technology, 2025
The use of AI-powered chatbots has recently been extensively examined for second language (L2) learning. While their positive effects have been widely reported regarding L2 English learning, studies involving less commonly taught languages (LCTLs) are scant. The current study incorporated an AI chatbot called Iruda in L2 Korean teaching, to…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Korean
Asnawi Muslem; Faisal Mustafa; Ruhul Reffina Rahayu; Eridafithri – Electronic Journal of e-Learning, 2024
Google Classroom has been frequently used as an e-learning platform to substitute for Learning Management System (LMS), and the use of its features (Classwork, Stream, People, etc.) varies among teachers with different goals, focuses, and familiarity. However, research has not addressed how the selection of Google Classroom features affects…
Descriptors: Computer Software, Virtual Classrooms, Teaching Methods, English (Second Language)
Zeynep Yadigar Tosun; S. Ipek Kuru Gönen – Reading in a Foreign Language, 2025
This study investigates the impact of a seven-week extensive reading (ER) program integrated with a blended learning modality (face-to-face and online) on tertiary-level English as a Foreign Language (EFL) learners. In a mixed-methods research design, it investigated whether the systematic blended ER program affected learners' reading attitudes…
Descriptors: Blended Learning, Reading Instruction, Reading Programs, Second Language Learning
Jerry Huang; Atsushi Mizumoto – Education and Information Technologies, 2025
This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Uses in Education
Shu Zhou; Gerhardus D. Du Preez – Language Learning & Technology, 2025
This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…
Descriptors: Grammar, Writing Instruction, Artificial Intelligence, Computer Software
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Diem Thi Ngoc Hoang; Thinh Hoang – Computer Assisted Language Learning, 2024
The purpose of this study was to investigate the possible effects of conducting regular collaborative activities via Google Docs on English academic writing skills. Utilising a mixed methods design, this study was conducted with 24 Vietnamese high school students who participated in a fully online English as a foreign language (EFL) course in…
Descriptors: English (Second Language), Second Language Learning, Academic Language, Writing Skills
Qian Xu; Jennifer C. Richardson – Online Learning, 2024
Scholars indicated that learners who are strategic with their language learning (e.g., selfregulated learning [SRL], cognitive and meta-cognitive strategies) tend to be more efficient, resourceful, and flexible, and thus have better language learning outcomes (Oxford, 2016; Heo et al., 2012; Plonsky, 2011). Besides focusing on the knowledge,…
Descriptors: Metacognition, Learning Strategies, Outcomes of Education, Vocabulary Development
Marwa Said Mustafa El-Garawany – rEFLections, 2025
Despite its importance for their academic achievement, many English Language majors find syntax a challenging subject matter, causing many syntactic inadequacies in their oral and written examinations. Tree diagrams have been used in syntactic analysis because of their distinct advantages in syntactic representation and organization.…
Descriptors: English (Second Language), Majors (Students), Second Language Learning, Syntax
Kessler, Matt – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL) has witnessed an explosion of interest from consumers and researchers. However, consumers often complain about the limited functionality of MALL applications, which typically do not allow for critical self-reflection or for users to consider different aspects of their learning such as the task itself, the…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Jo-Chi Hsiao; Jason S. Chang – Interactive Learning Environments, 2024
During the COVID-19 pandemic, global teachers gained extensive experiences with teaching online courses. To design quality online courses in the post-pandemic era, the impact of the latest technology, such as artificial intelligence (AI), must be considered. Investigating how teachers incorporate AI-powered tools and how students perceive learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, English (Second Language)
Tan, Chekfoung; Casanova, Diogo; Huet, Isabel; Alhammad, Muna – International Journal of Mobile and Blended Learning, 2022
Due to the COVID-19 pandemic, most universities needed to move to online teaching and learning, in some cases with very limited knowledge or experience in running online programmes. Engaging students online has become an imminent challenge that universities and academics are still trying to address. This paper reports on the findings from the…
Descriptors: Blended Learning, Cooperative Learning, COVID-19, Pandemics

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