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Ziqing Peng; Yan Wan – Education and Information Technologies, 2024
Understanding preferences surrounding artificial intelligence (AI) and human teaching assistants (TAs) helps managers improve AI TAs, effectively deploying AI and human TAs, and providing better services to learners. The literature has explored how AI TAs' characteristics affect students' use intention, neglecting students' comparative behaviors…
Descriptors: Artificial Intelligence, Teaching Assistants, Student Attitudes, Anxiety
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Chi-Jung Sui; Miao-Hsuan Yen; Chun-Yen Chang – Education and Information Technologies, 2024
This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-based self-assessment tools set against science learning. The data were analyzed using Bayesian structural equation modeling to unravel the intricate…
Descriptors: Technology Uses in Education, Independent Study, Middle School Students, Grade 8
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Lixuan Sun; Adelina Asmawi; Hui Dong; Xiaotian Zhang – Education and Information Technologies, 2024
Amidst the challenges posed by the Covid-19 pandemic, this study investigates the impact of Problem-based Language Learning (PBLL) using DingTalk on enhancing Business English Writing skills among Chinese undergraduates. Employing a mixed-method approach, the research involved two phases. In the quantitative phase, a twelve-week quasi-experimental…
Descriptors: Undergraduate Students, Business English, English for Special Purposes, Second Language Learning
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Nafiseh Taghizadeh Kerman; Seyyed Kazem Banihashem; Mortaza Karami; Erkan Er; Stan van Ginkel; Omid Noroozi – Education and Information Technologies, 2024
Online peer feedback is an effective instructional strategy to enhance students' learning processes and outcomes. However, the literature lacks a comprehensive understanding of the influential factors that play a key role in the effective implementation of online peer feedback. This systematic review provides an overview of the current state of…
Descriptors: Feedback (Response), Student Characteristics, Personality Traits, Learning Processes
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Céline Byukusenge; Florien Nsanganwimana; Albert Paulo Tarmo – Education and Information Technologies, 2024
Research has revealed that learning, especially in the field of science, is strongly affected by various factors. These factors include students' attitudes towards the subject matter, and the manner in which the subject is taught. Given their close linkage to students' achievement, attitudes are relevant component in science learning. However,…
Descriptors: Electronic Learning, Distance Education, Virtual Classrooms, Laboratories
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Yang Zhang – Education and Information Technologies, 2024
In the modern world, there are an enormous number of changes due to the COVID-19 pandemic. This fact influences all areas and, in particular, music education. The connection between the pandemic and changes in music education related to oboe teaching will be considered in this work. The research investigates the correlation between music education…
Descriptors: Musical Instruments, Music Education, COVID-19, Pandemics
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Qianru Li; Kan Kan Chan – Education and Information Technologies, 2024
Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)).…
Descriptors: Student Attitudes, Test Wiseness, Computer Assisted Testing, Handheld Devices
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Diego G. Campos; Ronny Scherer – Education and Information Technologies, 2024
The digital gender divide is one of the most critical issues in education today. Digital gender gaps can exist in students' access to and use of ICT, attitudes toward technology, and digital knowledge and skills. However, previous research has primarily examined these divides in isolation and largely ignored their interdependencies. Using student…
Descriptors: Access to Computers, Gender Differences, Technological Literacy, Achievement Gap
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Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
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Elena Carrión Candel; Cristina de-la-Peña; Beatriz Chaves Yuste – Education and Information Technologies, 2024
The scientific literature reveals the impact of applying game-based videos and gamification on undergraduates' learning. This work proposes, within an online context, using these educational strategies to make students the active protagonists of their learning. Therefore, this paper aims to analyze the students' perception of the effectiveness of…
Descriptors: Preservice Teachers, Student Attitudes, Active Learning, Teaching Methods
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Alenka Tratnik; Dragana Gak; Alenka Baggia; Janja Jerebic; Uroš Rajkovic; Tatjana Grbic; Nataša Durakovic; Slavica Medic; Anja Žnidaršic – Education and Information Technologies, 2024
Nowadays, email communication is considered the most common and widespread computer-based tool that students use to communicate with their professors. This paper provides a framework for evaluating email communication between students and professors and examines the factors that may influence students' email style and professionalism. The research…
Descriptors: College Faculty, College Students, Foreign Countries, Teacher Student Relationship
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Savita Yadav; Pinaki Chakraborty – Education and Information Technologies, 2024
Schools operated mostly in online mode in the last two years because of the COVID-19 pandemic and many teachers are now using digital tools in physical classrooms after the reopening of schools. We conducted an experiment on how smartphones can be used to reinforce biology lessons of seventh standard students (mean age = 12.22 years) in a private…
Descriptors: Biology, Handheld Devices, Telecommunications, COVID-19
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Meina Zhu; Sarah Berri; Rose Koda; Yi-jung Wu – Education and Information Technologies, 2024
The past ten years have witnessed a tremendous increase in the number of online courses, and the COVID-19 pandemic suddenly accelerated online education. Many students and instructors were unprepared for online learning. In particular, online learners are expected to employ self-directed learning (SDL) skills to succeed. This qualitative study…
Descriptors: Online Courses, Independent Study, Graduate Students, Student Attitudes
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Anna Koufakou – Education and Information Technologies, 2024
Student opinions for a course are important to educators and administrators, regardless of the type of the course or the institution. Reading and manually analyzing open-ended feedback becomes infeasible for massive volumes of comments at institution level or online forums. In this paper, we collected and pre-processed a large number of course…
Descriptors: Learning, Opinions, Student Attitudes, Natural Language Processing
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Musa Adekunle Ayanwale; Ismaila Temitayo Sanusi; Rethabile Rosemary Molefi; Adekunle Olusola Otunla – Education and Information Technologies, 2024
The increasing technology reliance in today's world has amplified the need for cybersecurity education for all. Hence, initiatives regarding the integration of cybersecurity education within the pre-college level have begun to emerge in recent times. However, limited research exists regarding in-service or pre-service teachers' perspectives on…
Descriptors: Computer Security, Computer Science Education, Preservice Teacher Education, Preservice Teachers
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