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Showing 1 to 15 of 180 results Save | Export
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Kai Guo; Yuanke Li; Yongyan Li; Samuel Kai Wah Chu – Education and Information Technologies, 2024
Despite growing interest in exploring the application of chatbots in language education, studies on the process of chatbot-assisted language learning are scant. This qualitative study uses activity theory to understand how English as a foreign language students engage with a chatbot, Argumate, when composing argumentative essays. Five Chinese…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Nirmal Chathuranga; Pasindu Dissanayake; Naduni Gunawardane – Education and Information Technologies, 2024
The purpose of this study is to determine the benefits of online learning among undergraduate students at a specific university and to investigate whether there are any differences in perception based on gender. A total of 477 participants completed structured questionnaires, and descriptive statistics were used to analyze the data. The…
Descriptors: Foreign Countries, Online Courses, Program Effectiveness, Undergraduate Students
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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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Harald A. Mieg; Katrin E. Klieme; Emma Barker; Jane Bryan; Caroline Gibson; Susanne Haberstroh; Femi Odebiyi; Frano P. Rismondo; Brigitte Römmer-Nossek; Janina Thiem; Erika Unterpertinger – Education and Information Technologies, 2024
This article presents a ten-item short scale for measuring digital competence. The scale is based on the Digital Competence Framework for Citizens, DigComp2.1 (Carretero et al., 2017). For our surveys, we used five items from the DigCompSat study (Clifford et al., 2020) and created five new ones to address the competence areas defined by…
Descriptors: Digital Literacy, Competence, Student Evaluation, Undergraduate Students
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Carolina Matamala; J. Enrique Hinostroza; David D. Preiss; Benjamín Carmona; Christian Labbé – Education and Information Technologies, 2024
Research has shown how important is for young people to acquire digital competencies that are necessary to successfully participate in society. Still, it has been reported that university students display poor digital competencies and that inequalities resulting from demographic and social factors persist even among young people who have managed…
Descriptors: Foreign Countries, Technological Literacy, Undergraduate Students, Cooperation
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Tugçe Karapolat; Tolga Özsen; Levent Çetinkaya – Education and Information Technologies, 2024
This study aims to investigate how social media tools, in other words social network services (SNS), affects the success of Japanese language learners in learning Japanese culture in undergraduate programs. For this research, a mixed method approach was used with a quantitative, quasi-experimental research design including a pre-test-post-test…
Descriptors: Social Media, Second Language Learning, Second Language Instruction, Japanese
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Pascasie Nyirahabimana; Evariste Minani; Mathias Nduwingoma; Imelda Kemeza – Education and Information Technologies, 2024
Students ability to build correct knowledge relies on their understanding of concepts. Students must understand the concept well before applying it in real-life situations. With the advent of technology, teaching and learning quantum physics has been made easier and more effective in enhancing students' critical thinking and conceptual…
Descriptors: Quantum Mechanics, Physics, Multimedia Materials, Scientific Concepts
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Liqaa Habeb Al-Obaydi; D. R. Rahul; Marcel Pikhart – Education and Information Technologies, 2024
Studies have disclosed conflicting evidence on the effect of oral reading (i.e., reading aloud in class) on various language measures. However, with online learning and teaching, personalized activities are employed to develop students' reading comprehension, improve motivation, and minimize anxieties. A qualitative research design was deployed to…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Oral Reading
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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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Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
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Ivan D. Mardini G.; Christian G. Quintero M.; César A. Viloria N.; Winston S. Percybrooks B.; Heydy S. Robles N.; Karen Villalba R. – Education and Information Technologies, 2024
Today reading comprehension is considered an essential skill in modern life, therefore, higher education students require more specific skills to understand, interpret and evaluate texts effectively. Short answer questions (SAQs) are one of the relevant and proper tools for assessing reading comprehension skills. Unlike multiple-choice questions,…
Descriptors: Reading Comprehension, Reading Tests, Learning Strategies, Grading
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Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
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Chenwei Ma; Fang Wang; Yang Lv – Education and Information Technologies, 2024
Bullet screen technology enables instant interactive class communication and comments for teachers and students, even in large classes. This study explores the effect of a bullet-screen comment class on students' learning. It utilizes media and communication theory, expectation confirmation theory, and the technology acceptance model to present…
Descriptors: Foreign Countries, Educational Technology, Undergraduate Students, Correlation
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Deepti Prit Kaur; Archana Mantri – Education and Information Technologies, 2024
Student perception is an essential component in education; especially in engineering courses, which involve complex spatial processes, manipulation and interpretation of graphs, diagrams, and concepts. Incorporation of special training instructions improve spatial skills of learners, assisting them to acquire enhanced conceptual knowledge. Through…
Descriptors: Computer Simulation, Interaction, Visual Aids, Engineering Education
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Ayman Alarabiat; Omar Hujran; Dimah Al-Fraihat; Ali Aljaafreh – Education and Information Technologies, 2024
Previous Online Learning (OL) studies have provided significant insights into why students would adopt or use OL but far less attention has been directed towards understanding why they would reject or resist continuing to use OL. The capability of OL to simulate the learning process to be equivalent to classroom learning remains an unresolved…
Descriptors: Learner Engagement, Resistance (Psychology), Electronic Learning, Influences
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