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Showing 1 to 15 of 116 results Save | Export
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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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Kizito Tekwa – Education and Information Technologies, 2024
The impact of globalization and technologization has continued to reverberate in the translation industry, causing seismic changes in the translation process, output, and client expectations. Consequently, several approaches and models have been adopted to align training with these changes. Prominent among these is project-based learning, where…
Descriptors: Team Training, Independent Study, Performance, Video Technology
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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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Qinxue Liu; Jiayin Wu – Education and Information Technologies, 2024
The impact of digital technology on the younger generation is profound and far-reaching. In a digital home environment, parental mediation of children's access to the Internet, digital devices, and their device use will either directly or indirectly affect children's digital attitudes and behaviors. Based on the ecological techno-microsystem…
Descriptors: Telecommunications, Handheld Devices, Internet, Parent Influence
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Mensure Alkis Küçükaydin; Hakan Çite – Education and Information Technologies, 2024
This study sought to explain the differences in the computational thinking skills of primary school students. The survey model was adopted for the research. In the study, in which 780 primary school students participated, the relationship between computational thinking skills and factors at the student (gender, parent education status, internet…
Descriptors: Thinking Skills, Elementary School Students, Student Attitudes, Correlation
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Muhammad Alrayes – Education and Information Technologies, 2024
Teaching English in second language contexts seems to have succeeded in implementing only target-language policy allowed during class time. However, the problem persists in teaching English in foreign language contexts where English is not the official and/or first language in those countries. Such situations kept the question unanswered; whether…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Teaching Methods
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Nurudeen, Mohammed; Abdul-Samad, Siddique; Owusu-Oware, Emmanuel; Koi-Akrofi, Godfred Yaw; Tanye, Hannah Ayaba – Education and Information Technologies, 2023
With the advent of smartphones and fourth generation mobile technologies, the effect of social media on society has stirred up some debate and researchers across various disciplines have drawn different conclusions. Social media provides university students with a convenient platform to create and share educational content. However, social media…
Descriptors: Social Media, Grade Point Average, Academic Achievement, Prediction
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Ezeamuzie, Ndudi O. – Education and Information Technologies, 2023
Several instructional approaches have been advanced for learning programming. However, effective ways of engaging beginners in programming in K-12 are still unclear, especially among low socioeconomic status learners in technology-deprived learning environments. Understanding the learning path of novice programmers will bridge this gap and explain…
Descriptors: Programming, Constructivism (Learning), Programming Languages, Computer Science Education
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Lembani, Reuben; Mulenga, Kabwe; Mwewa, Peter; Mhango, Lydia; Chaamwe, Nchimunya – Education and Information Technologies, 2023
This study investigated the preparedness and experience of students for the fast-paced convergence of ICT and higher education. Overall, 366 distance students with a history of self-directed learning through correspondence courses were profiled using structured text-based online interviews. Twelve students' attributes on ICT material possession…
Descriptors: Educational Technology, Distance Education, Independent Study, Correspondence Study
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Kulaksiz, Taibe; Karaca, Feride – Education and Information Technologies, 2023
A three-phase exploratory sequential mixed-method study was conducted to propose and test a model showing the interrelationships among the contextual factors influencing the science teachers' Technological Pedagogical Content Knowledge (TPACK). Though developing teachers' TPACK is critical for technology integration in education, the contextual…
Descriptors: Science Teachers, Pedagogical Content Knowledge, Science Instruction, Context Effect
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Ni, Aohua; Cheung, Alan – Education and Information Technologies, 2023
Previous studies have demonstrated the effectiveness of intelligent tutoring systems (ITS) in facilitating English learning. However, no empirical research has been conducted on secondary students' intention to use ITSs in the language domain. This study proposes an extended technology acceptance model (TAM) to predict secondary students'…
Descriptors: Intelligent Tutoring Systems, English (Second Language), Second Language Learning, Second Language Instruction
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Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
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Li, Wei; Liu, Cheng-Ye; Tseng, Judy C. R. – Education and Information Technologies, 2023
Collaborative programming can develop computational thinking and knowledge of computational programming. However, the researchers pointed out that because students often fail to mobilize metacognition to regulate and control their cognitive activities in a cooperation, this results in poor learning effects. Especially low-achieving students need…
Descriptors: Correlation, Metacognition, Thinking Skills, Programming
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Güllü, Hasan; Karahan, Engin; Akçay, Ahmet Oguz – Education and Information Technologies, 2023
One of the most fundamental problems many students face in school is bullying. This form of harassment, known as cyberbullying, has emerged as the use of the internet and other digital media has increased in recent years. The purpose of this study is to determine the extent of secondary school students' cyberbullying and cyber victimization…
Descriptors: Computer Mediated Communication, Bullying, Victims, Secondary School Students
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Kaplan-Rakowski, Regina; Dhimolea, Tetyana Kucher; Khukalenko, Iuliia Sergeevna – Education and Information Technologies, 2023
Using Virtual Reality (VR) in educational contexts is becoming increasingly common. The ability of VR to provide authentic learning experiences is making it a particularly promising platform for language learning, but the research on its acceptance among language teachers is scarce. This paper reports the results obtained from a large-scale (N =…
Descriptors: Computer Simulation, Educational Technology, Language Teachers, Teacher Attitudes
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