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Showing 1 to 15 of 35 results Save | Export
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Ayça Fidan; Yasemin Koçak Usluel – Education and Information Technologies, 2024
It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a complex and multifaceted concept, researchers have stated that engagement is effected by many factors (environmental conditions and learner characteristics) and changes according to the context. Among…
Descriptors: Online Courses, Electronic Learning, Metacognition, Emotional Response
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Kheira Ouassif; Benameur Ziani – Education and Information Technologies, 2025
The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…
Descriptors: Predictor Variables, College Students, Majors (Students), Decision Making
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Zhengze Li; Hui Chen; Xin Gao – Education and Information Technologies, 2024
Online supplementary education has been prevalent in recent years due to the advent of technology (e.g., live streaming) and the COVID-19 pandemic. However, the performance of students in this mode of education varies greatly, and the underlying reasons are yet to be investigated. This study aims to understand the impact of various factors and…
Descriptors: Predictor Variables, Elementary School Students, Electronic Learning, Supplementary Education
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Kadioglu-Akbulut, Cansel; Cetin-Dindar, Ayla; Acar-Sesen, Burçin; Küçük, Sevda – Education and Information Technologies, 2023
Designing effective and efficient learning environments by integrating recent educational technologies into the teaching process has become an important goal of education for nearly two decades. However, earlier studies showed that a higher level of technology knowledge does not guarantee the development of TPACK. At this point, studies guided by…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Educational Technology
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Sha Tian; Wenjiao Yang – Education and Information Technologies, 2024
The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is unclear what factors may contribute to students' behavioral use and the consequent effects of using it. With the addition of three external factors (motivation, task-technology fit, and technology…
Descriptors: Translation, Educational Technology, Technology Integration, Technology Uses in Education
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María García de Blanes Sebastián; José Ramón Sarmiento Guede; Alberto Azuara Grande; Antonio Ferrao Filipe – Education and Information Technologies, 2025
During COVID-19 pandemic, Mobile learning (M-learning) was implemented in many universities to continue teaching. Consequently, its use has increased drastically, facing new challenges and benefits. The main aim of this research is to adopt the Unified Theory of Acceptance and Use of Extended Technology (UTAUT-2) to determine the intention of…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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Milutinovic, Verica – Education and Information Technologies, 2022
Many seem to believe that today's pre-service teachers as born after 1980 are digital natives, or that they are "native speakers" of the digital language. Nevertheless, there is no evidence that their digital native characteristics determine whether or not they would use technology in the classroom. Although not widely evaluated, the…
Descriptors: Preservice Teachers, Technological Literacy, Intention, Technology Uses in Education
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Granic, Andrina – Education and Information Technologies, 2022
During the past decades a respectable number and variety of theoretical perspectives and practical approaches have been advanced for studying determinants for prediction and explanation of user's behavior towards acceptance and adoption of educational technology. Aiming to identify the most prominent factors affecting and reliably predicting…
Descriptors: Educational Technology, Technology Integration, Predictor Variables, Electronic Learning
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Xia, Qi; Chiu, Thomas K. F.; Chai, Ching Sing – Education and Information Technologies, 2023
Artificial intelligence (AI) has the potential to support self-regulated learning (SRL) because of its strong anthropomorphic characteristics. However, most studies of AI in education have focused on cognitive outcomes in higher education, and little research has examined how psychological needs affect SRL with AI in the K-12 setting. SRL is a…
Descriptors: Artificial Intelligence, Grade 9, Student Needs, Gender Differences
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Kuo, Yu-Chun; Kuo, Yu-Tung; Abi-El-Mona, Issam – Education and Information Technologies, 2023
This study investigated pre-service teachers' perceptions of using iPads in teaching, with a focus on motivation to adopt iPads, iPad-integration self-efficacy, and intention to adopt iPads for future teaching. Changes of pre-service teachers' perceptions of using iPads over time as well as the relationships of motivation, self-efficacy, and…
Descriptors: Telecommunications, Tablet Computers, Preservice Teachers, Student Attitudes
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Sinan Bilici; Rabia Meryem Yilmaz – Education and Information Technologies, 2024
The purpose of the study is to investigate the effect of the use of digital storytelling on academic achievement, critical thinking dispositions, co-regulation, and narrative skills of 10th grade students. To this end, the study was conducted using a semi-experimental design with a convenience sample. The participants consisted of 64 students (33…
Descriptors: Educational Technology, Story Telling, Cooperative Learning, Academic Achievement
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Zacharis, Georgios; Nikolopoulou, Kleopatra – Education and Information Technologies, 2022
The use of eLearning platforms has made it possible to continue the learning process in universities, and other educational institutions, during the COVID pandemic. Students' acceptance of eLearning is important because it is associated with their engagement in the online teaching--learning environment. This study used the Unified Theory of…
Descriptors: Predictor Variables, College Students, Student Attitudes, Intention
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Oyelere, Solomon Sunday; Olaleye, Sunday Adewale; Balogun, Oluwafemi Samson; Tomczyk, Lukasz – Education and Information Technologies, 2021
This study uses the quantitative research approach to examine the connection between students' teamwork experience, self-regulated learning, technology self-efficacy, and performance in an online educational technology course. Sixty-three (63) students participated in this study. The study data were collected through an online questionnaire that…
Descriptors: Teamwork, Student Experience, Learning Strategies, Academic Achievement
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Çevik, Mustafa; Bakioglu, Büsra – Education and Information Technologies, 2022
With the COVID-19 pandemic affecting the world, the vast majority of students in various educational institutions around the world have changed their learning styles from the physical classroom to digital learning education. Especially the fact that university students take their lessons with e-learning in times of crisis (COVID-19 pandemic) has…
Descriptors: COVID-19, Pandemics, School Closing, Distance Education
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Balouchi, Shima; Samad, Arshad Abdul – Education and Information Technologies, 2021
There is a wealth of research investigating language learners' adoption of digital technology in higher education. To date, however, research primarily focuses on the implementation of technology in formal learning either inside or outside of the classroom, and the associations between factors influencing learners' informal English learning in…
Descriptors: Second Language Learning, English (Second Language), Informal Education, Intention
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