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Nicolas Loiseau; Adrien Bruni; Pierre Puigpinos; Jean-Christophe Sakdavong – International Association for Development of the Information Society, 2024
This paper explores the concept of self-efficacy and its impact on individual performance on a mobile learning application. Self-efficacy refers to one's belief in their ability to achieve their goals and is a key factor in everyday life. To investigate the relationship between self-efficacy and performance, we conducted an experiment with 104…
Descriptors: Self Efficacy, Telecommunications, Handheld Devices, Computer Software
Zhaokun Meng; Rui Li – Journal of Computing in Higher Education, 2024
While extensive studies on informal online learning have been well documented to afford teachers' collaborative learning and knowledge sharing, little is still known about their motivational factors regarding the continuance intention of informal online learning. To this end, an extended expectation confirmation model (ECM) was proposed including…
Descriptors: Informal Education, Teacher Attitudes, Communities of Practice, Computer Mediated Communication
Yang Tiantian; Abu Bakar Razali; Nurul N. Zulkifli; Joanna J. Jeyaraj – Journal of Pedagogical Research, 2024
Recognizing the roles that English vocabulary, social interaction, academic performance, and learning motivation play in language learning can be useful in chiefly enhancing EFL language acquisition. This research explores the challenges that the pre-college EFL students encounter while expanding their word learning knowledge, communicating in the…
Descriptors: Cooperative Learning, Telecommunications, Handheld Devices, Learning Motivation
Aliabd Kadhum – Journal on English Language Teaching, 2024
This study explores the impact of mobile learning applications on the vocabulary acquisition, motivation, and engagement of Iraqi ESP medical students. This study was conducted with 60 students from Meisan University, who were randomly divided into an experimental group using the Quizlet mobile application and a control group following traditional…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Computer Oriented Programs
Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Heather D. Quirk; Ria Nagar; Page L. Anderson – Journal of American College Health, 2024
Objective: This project examines students' experiences using a mental health mobile application (app) as part of a class assignment developed to support student well-being. Participants: Data was collected from 265 undergraduate students enrolled in a psychology course during the COVID-19 pandemic. Methods: Students developed a self-care goal and…
Descriptors: Daily Living Skills, Computer Software, Telecommunications, Handheld Devices
Damar Rais; Zhao Xuezhi – Journal on Mathematics Education, 2024
Python programming is widely employed in educational institutions worldwide. Within the "Merdeka Belajar" curriculum context, this programming is recognized as a suitable vehicle for mathematics instruction, significantly influencing students' motivation and learning outcomes, particularly following periods of educational hiatus. This…
Descriptors: Student Motivation, Learning Motivation, Programming Languages, Student Attitudes
Runtong He; De Dong – International Journal of Adult Education and Technology, 2024
With the enhancement of internet medium and development of science and technology, interactive technologies have gradually emerged in the field of language education. However, previous empirical studies and meta-analyses have focused on the impact of specific types of technologies. Therefore, this study aims to comprehensively synthesize the…
Descriptors: Meta Analysis, Second Language Learning, Second Language Instruction, Teaching Methods
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
Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
Mehmet Aslan; Birsen Tütünis – Journal of Theoretical Educational Science, 2024
The study's objective is to examine the effects of Blended Mobile Learning (BML) on the vocabulary development of EFL preparatory students and their views of BML. As a mixed method study, it was conducted with 40 preparatory students at a state university in Turkey. While the control group studied vocabulary by reading texts only in the classroom…
Descriptors: Blended Learning, Telecommunications, Handheld Devices, Comparative Analysis
Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
Kevin R. Hirschi – ProQuest LLC, 2024
Millions engage in learning a Second Language (L2) using their mobile devices with a wide range of success. Concomitantly, there exists a growing interest in research on the effects of mobile-assisted language learning and predictors of learner outcomes (e.g., Loewen et al., 2020; Sudina & Plonsky, 2023). However, few of these apps and studies…
Descriptors: Native Language, Spanish, Second Language Learning, English (Second Language)