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Chenyue Wang; Chang Lu; Fu Chen; Xueliang Liu; Qin Zhao; Shuai Wang – Education and Information Technologies, 2024
Computational thinking (CT) competency is essential for K-12 students in the digital societies. Understanding the relationship between students' CT and relevant factors contributes to implementing and improving CT education. Most previous studies investigated the effect of demographic or attitudinal factors on CT performance; whereas few research…
Descriptors: Self Efficacy, Thinking Skills, Problem Solving, Computation
Viberg, Olga; Engström, Linda; Saqr, Mohammed; Hrastinski, Stefan – Education and Information Technologies, 2022
In order to successfully implement learning analytics (LA), we need a better understanding of student expectations of such services. Yet, there is still a limited body of research about students' expectations across countries. Student expectations of LA have been predominantly examined from a view that perceives students as a group of individuals…
Descriptors: Learning Analytics, Student Attitudes, Expectation, College Students
Vezne, Rabia; Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Education and Information Technologies, 2023
In this study, the effects of remote learning attitude, extrinsic and intrinsic goal orientation on the dimensions of online engagement were examined. 293 teacher candidates at a state university in Turkey participated in the research. PLS-SEM was used to analyze the data. In all models, relationships related to online collaboration with peers,…
Descriptors: Electronic Learning, Predictor Variables, Learner Engagement, Student Attitudes
Gümüs, Muhammed Murat; Çakir, Recep; Korkmaz, Özgen – Education and Information Technologies, 2023
Today, with digital technologies being in every aspect of our lives, cyberbullying and digital ethics, and digital security violations are emerging as concepts that threaten our digital world. It is thought that displaying ethical behavior and providing digital security in digital environments can increase sensitivity to cyberbullying. Here, it is…
Descriptors: Preservice Teachers, Bullying, Computer Mediated Communication, Ethics
Huang, Tianyang – Education and Information Technologies, 2023
Online course learning is an important part of higher education curriculum. However, the factors influencing college students' online course learning behavior are poorly understood. The purpose of this study is to analyze the factors affecting college students' online course learning behavior. This study integrated the Information System Success…
Descriptors: College Students, Foreign Countries, Online Courses, Learning
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
Chengze Zeng – Education and Information Technologies, 2025
Mathematical literacy is becoming increasingly important and needs to be developed. However, various factors can affect students with different mathematical literacy patterns. This study aims to investigate the effects of students' backgrounds, attitudes toward mathematics, and information and communication technology (ICT) familiarity on the…
Descriptors: Foreign Countries, Secondary School Students, International Assessment, Numeracy
Jin, Hao-Yue; Cutumisu, Maria – Education and Information Technologies, 2023
Computational thinking (CT) skills of pre-service teachers have been explored extensively, but the effectiveness of CT training has yielded mixed results in previous studies. Thus, it is necessary to identify patterns in the relationships between predictors of CT and CT skills to further support CT development. This study developed an online CT…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Predictor Variables
Alam, Syed Shah; Masukujjaman, Mohammad; Ahmad, Maisarah; Jaffor, Romlah – Education and Information Technologies, 2023
Nowadays, the teaching methods are changed from offline to online primarily for the advent of the internet facility. The Industrial Revolution 4.0 ("Education 4.0") stresses offering online courses at the university level. The study aims to find out the factors influencing students' intentions to admit to online distance learning…
Descriptors: Online Courses, Student Attitudes, Intention, Distance Education
Göktepe Yildiz, Sevda; Göktepe Körpeoglu, Seda – Education and Information Technologies, 2023
Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…
Descriptors: Foreign Countries, Students, Student Attitudes, Problem Solving
Vezne, Rabia; Yesilyurt, Etem – Education and Information Technologies, 2023
Lifelong learning (LLL) has gained an important place in the agendas of national and international organizations and the education policies of countries with globalization and digitalization in education. Even though there is a large body of research regarding lifelong learning tendency, web pedagogical content knowledge, attitude towards…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Internet, Student Attitudes
Mensure Alkis Küçükaydin; Hakan Çite; Hakan Ulum – Education and Information Technologies, 2024
Students enter the science, technology, engineering, and mathematics (STEM) pipeline in primary school, but leak out of it over time for various reasons. To prevent leaks, it is important to understand the variables that affect attitudes towards STEM learning from an early age. This study sought to examine the predictors of young students' STEM…
Descriptors: Foreign Countries, Elementary School Students, STEM Education, Student Attitudes
Liao, Hongjian; Zhang, Qianwei; Yang, Lin; Fei, Yuenong – Education and Information Technologies, 2023
This study explored the relationships among regulated learning, teaching presence and student engagement in blended learning. A two-level model was designed based on contextual factors (teaching presence) and individual factors (regulated learning), and experience sampling method was employed to collect intensive longitudinal data on 139…
Descriptors: Metacognition, Teaching Methods, Learner Engagement, Blended Learning
Yesilyurt, Etem; Vezne, Rabia – Education and Information Technologies, 2023
Even though there is an abundance of research on computer supported education (CSE), digital literacy (DL), technological literacy (TL), and internet literacy (IL), the correlation between them and their effect on each other have not been analyzed in the literature. However, no study has been conducted on the correlation between and effect of CSE,…
Descriptors: Preservice Teachers, Digital Literacy, Technological Literacy, Internet
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