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Yingbin Zhang; Luc Paquette; Nigel Bosch – International Journal of Artificial Intelligence in Education, 2025
Understanding the transitions among affective states during computer-based learning may guide the design of affect-responsive learning environments. Current studies have focused on the marginal strength of an affect transition, which is the average transition tendency over possible affective states preceding the transition. However, marginal…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Learning Experience
Yavuz Akbulut; Onur Dönmez; Beril Ceylan; Tayfun Firat – Journal of Computing in Higher Education, 2025
Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…
Descriptors: Training, Cognitive Processes, Difficulty Level, Academic Achievement
Carter, Aidan; Absalom, Matt – The EUROCALL Review, 2023
This article discusses a pilot project aimed at giving tertiary students a wider repertoire of resources to use in language learning, with a particular focus on Italian. This project responds to the exponential increase in and access to online data and the potential value such data represent for students studying additional languages at tertiary…
Descriptors: Teaching Methods, Learning Processes, Second Language Learning, Second Language Instruction
Arnbjörnsdóttir, Birna, Ed.; Bédi, Branislav, Ed.; Bradley, Linda, Ed.; Friðriksdóttir, Kolbrún, Ed.; Garðarsdóttir, Hólmfríður, Ed.; Thouësny, Sylvie, Ed.; Whelpton, Matthew James, Ed. – Research-publishing.net, 2022
The 2022 EUROCALL conference was held in Reykjavik on 17-19 August 2022 as a fully online event hosted by the Vigdís Finnbogadóttir Institute for Foreign Languages, the University of Iceland, and the Árni Magnússon Institute for Icelandic Studies. The conference theme was "Intelligent CALL, granular systems and learner data." This theme…
Descriptors: Learning Analytics, Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Experience
Simin Ren; Paul Seedhouse – Classroom Discourse, 2024
We present "doing language testing" sequences; L2 learners decide for themselves to test themselves or each other explicitly on new linguistic items, outside the official task cycle with no professional present, investing extra time and energy. We examine how and why pairs of learners do this, and its impact on their learning. They use…
Descriptors: Second Language Learning, Second Language Instruction, Language Tests, 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
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
Dennen, Vanessa P.; Hall, Barbara M.; Hedquist, Amber – Online Learning, 2023
Many online learning experiences integrate some form of dialogic interaction among instructors and learners. However, the degree to which these individuals come to a mutual understanding of their task and topic, a phenomenon called intersubjectivity, often remains a question. This systematic review of online learning research examines 48…
Descriptors: Online Courses, Learning Experience, Journal Articles, Trend Analysis
Ericsson, Elin; Sofkova Hashemi, Sylvana; Lundin, Johan – Cogent Education, 2023
Speaking in a foreign language is considered challenging to both teach and learn. Virtual humans (VHs), as conversational agents (CAs), provide opportunities to practise speaking skills. Lower secondary school students (N = 25) engaged in an AI-based spoken dialogue system (SDS) and interacted verbally with VHs in simulated everyday-life scenarios…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
Martín, Estefanía; Roldán-Alvarez, David; Haya, Pablo A.; Fernández-Gaullés, Cristina; Guzmán, Cristian; Quintanar, Hermelinda – Journal of Computer Assisted Learning, 2019
The adoption of Information and Communication Technologies in early childhood education is crucial for adapting traditional classrooms to the digital era. Over time, young children are increasingly using touch screen technologies such as tablets at home and in early childhood settings. However, the literature shows that there is a significant gap…
Descriptors: Foreign Countries, Teaching Methods, Early Childhood Education, Learning Processes
Li, Shan; Zheng, Juan – Asia-Pacific Education Researcher, 2018
The one-to-one computing environment provides students adaptive and individualized learning experiences, which has the great potential to enhance their learning performances, but it also requires students to actively motivate themselves to self-regulate their learning processes. This study examined the relationships between self-efficacy, task…
Descriptors: Self Efficacy, Grade 7, Learning Experience, Learning Processes
Chatti, Mohamed Amine; Muslim, Arham – International Review of Research in Open and Distributed Learning, 2019
Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…
Descriptors: Guidelines, Data Analysis, Learning Experience, Metacognition
Humphreys, Gareth – Higher Learning Research Communications, 2023
Objectives: Two sets of intercultural learning resources incorporating Global Englishes learning content were developed for self-access use in the higher education context. The resources were investigated in terms of student learning experiences across two contexts in Japan: an English language major program and a nonlanguage major program. The…
Descriptors: Independent Study, Comparative Analysis, Student Attitudes, Intercultural Communication
Ng, Oi-Lam; Chan, To – British Journal of Educational Technology, 2019
The recent and popular "Maker" movement worldwide has revived conversations about creativity, hands-on "Making," arts and design, humans with tools and digital experiences beyond the flat-screen. However, such conversation mainly revolved outside the realm of formal education. This article presents two learning tasks, one in…
Descriptors: STEM Education, Teaching Methods, Video Technology, Teacher Attitudes
Hung, Hsiu-Ting – Computer Assisted Language Learning, 2015
This paper describes a structured attempt to integrate flip teaching into language classrooms using a WebQuest active learning strategy. The purpose of this study is to examine the possible impacts of flipping the classroom on English language learners' academic performance, learning attitudes, and participation levels. Adopting a…
Descriptors: Active Learning, Second Language Learning, Learning Experience, Teaching Methods
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