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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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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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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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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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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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Ajay Kumar Singh; Mukesh Kumar Meena – Education and Information Technologies, 2024
The objective of this study was to analyze the gap in expected benefits and actual benefits of virtual classrooms used at the time of nationwide lockdown for the teaching-learning process for faculty members and students in higher education during the COVID-19 pandemic. A total of 893 responses have been used for this study. The overall mean of…
Descriptors: COVID-19, Pandemics, Foreign Countries, College Faculty
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Jeevan Khanal – Education and Information Technologies, 2024
The transition from traditional, in-person classrooms to technology-based models like online learning is a significant challenge. This change is not only brought on by the COVID-19 pandemic, but it also presents difficulties for low-income and developing countries that have adopted online education for students who are spread out over a wide area.…
Descriptors: Student Attitudes, Student Experience, In Person Learning, Electronic Learning
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Shaden Ahmad Masadeh; Nahla El-Haggar – Education and Information Technologies, 2024
IoT is among the most recent innovation that is increasingly growing and being implemented in different areas like higher educational institutions. IoT supports faculty members and students in a dynamic learning environment and influences their collaboration and communication. This innovation has created new excitement and challenges for higher…
Descriptors: Foreign Countries, Higher Education, Internet, Technological Advancement
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Xin Gong; Shufan Yu; Jie Xu; Ailing Qiao; Han Han – Education and Information Technologies, 2024
Tangible programming combines the advantages of object manipulation with programmable hardware, which plays an essential role in improving programming skills. As a tool for ensuring the quality of projects and improving learning outcomes, the PDCA cycle strategy is conducive to cultivating reflective thinking. However, there is still a lack of…
Descriptors: Programming, Computer Science Education, Outcomes of Education, Reflection
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Tugce Özbek; Christina Wekerle; Ingo Kollar – Education and Information Technologies, 2024
Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…
Descriptors: Preservice Teachers, Student Attitudes, Computer Attitudes, Technology Uses in Education
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Alexis Guethler – Education and Information Technologies, 2024
Asynchronous online learning has grown in popularity due to its flexibility in providing higher education access to learners regardless of distance, transportation, and scheduling constraints. However, for successful online learning, students must adapt and intensify the self-regulated learning (SRL) skills they developed in face-to-face settings…
Descriptors: Intervention, Reflection, Prompting, Self Management
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Xiaozhe Yang; Pei-Yu Cheng; Xin Liu; Sheng-Pao Shih – Education and Information Technologies, 2024
This paper presents a new art metaverse prototype, constructed using virtual reality technology to create an immersive scene with a specific artistic style and integrate virtual avatar technology to allow interaction with characters in the art painting. Ninety-six college students participated in the study, divided into two groups: the virtual…
Descriptors: Computer Simulation, Simulated Environment, Art Education, Technology Uses in Education
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Ghazala Bilquise; Samar Ibrahim; Sa'Ed M. Salhieh – Education and Information Technologies, 2024
The study explores factors affecting university students' behavioural intentions in adopting an academic advising chatbot. The study focuses on functional, socio-emotional, and relational factors affecting students' acceptance of an AI-driven academic advising chatbot. The research is based on a conceptual model derived from several constructs of…
Descriptors: Academic Advising, College Students, Intention, Artificial Intelligence
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