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Tian, Hua; Chen, Jie – Education and Information Technologies, 2023
The importance of university students' electronic health (eHealth) literacy has been established in the literature, yet the association with computer skills is absent. In this study, a total of 5,672 university students were recruited from Xinyang University. Data were collected from an online questionnaire, including the Chinese eHealth Literacy…
Descriptors: Electronic Learning, Health Education, Multiple Literacies, Computer Literacy
Lin, Ruyi; Yang, Junfeng; Jiang, Feng; Li, Jiaping – Education and Information Technologies, 2023
With the digital transformation of education, data and digital technologies are regarded as the driving forces for teaching innovation. Teachers' data literacy and digital teaching competence are becoming increasingly important for empowering students' digital capacity, ethically technology usage, and collaboration or communication skills in the…
Descriptors: Elementary School Teachers, Data, Multiple Literacies, Computer Literacy
Yang, Li; Martínez-Abad, Fernando; García-Holgado, Alicia – Education and Information Technologies, 2022
The emergence of the COVID-19 pandemic has accelerated the wave of digital social transformation worldwide and pushed the "Accelerator Key" for the digital transformation of education in 2020. This transformation has also impacted in an all-around way in China. Taking Anhui province as a case study, this research explores…
Descriptors: Preservice Teachers, Teachers, Social Cognition, Digital Literacy
Mensah, Isaac Kofi; Zeng, Guohua; Luo, Chuanyong; Lu, Mengqiu; Xiao, Zhi-Wu – SAGE Open, 2022
This research paper investigated the adoption behavior of college students toward the e-learning system amidst the current COVID-19. The model was developed and validated based on the Technology Acceptance Model (TAM) and the partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data. The data was generated from 316…
Descriptors: Electronic Learning, Intention, College Students, COVID-19
Dan Sun; Fan Ouyang; Yan Li; Chengcong Zhu; Yang Zhou – Journal of Computer Assisted Learning, 2024
Background: With the development of computational literacy, there has been a surge in both research and practice application of text-based and block-based modalities within the field of computer programming education. Despite this trend, little work has actually examined how learners engaging in programming process when utilizing these two major…
Descriptors: Computer Science Education, Programming, Computer Literacy, Comparative Analysis
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Emily Di Zhang; Shulin Yu – Computer Assisted Language Learning, 2025
In this digital age, digital multimodal composing (DMC) has permeated the L2 classroom as a technology-enhanced L2 writing task. Despite the learning potential of DMC for L2 students, instruments that measure L2 students' DMC competence are rare. As such, the present study sought to develop and validate an L2 student DMC competence scale in the…
Descriptors: Foreign Countries, Construct Validity, Second Language Learning, English (Second Language)
Huang, Fang; Teo, Timothy; Scherer, Ronny – Interactive Learning Environments, 2022
As a key variable determining technology acceptance and adoption, the perceived ease of technology use (PEU) has been in the focus of a considerable body of research. This research examined the external factors that influence perceived ease of use, such as computer self-efficacy and perceived enjoyment, but yielded inconsistent findings and…
Descriptors: College Students, Internet, Electronic Learning, Usability
Yue Ma; Huilin Zhang; Li Ni; Da Zhou – International Journal of Computer-Supported Collaborative Learning, 2023
Understanding how individuals collaborate with others is a complex undertaking, because collaborative problem-solving (CPS) is an interactive and dynamic process. We attempt to identify distinct collaborative problem-solver profiles of Chinese 15-year-old students on a computer-based CPS task using process data from the 2015 Program for…
Descriptors: Cooperative Learning, Problem Solving, Profiles, Computer Literacy
Jiang, Haozhe; Islam, A. Y. M. Atiquil; Gu, Xiaoqing; Spector, Jonathan Michael – Education and Information Technologies, 2021
Student satisfaction is of great significance in online learning, but few studies have explored its determinants in emerging countries. This study investigated the determinants of university students' satisfaction with online learning platforms in China through applying the Technology Satisfaction Model during the COVID-19 pandemic, when an…
Descriptors: Foreign Countries, Electronic Learning, Student Satisfaction, College Students
Fuhai An; Jiawei Guo – Education and Information Technologies, 2024
Peer relationships play important roles in middle-school students' individual development. Peer support is indispensable in computer-supported learning contexts. This study is designed to explore the connection between perceived peer support and deeper learning, while examining the mediating role of computer self-efficacy and perceived classroom…
Descriptors: Peer Relationship, Goal Orientation, Mastery Learning, Prediction
Wu, Longkai; Looi, Chee-Kit; Multisilta, Jari; How, Meng-Leong; Choi, Hyungshin; Hsu, Ting-Chia; Tuomi, Pauliina – Asia-Pacific Education Researcher, 2020
Many education systems have recognized the importance of computational thinking and coding skills and are implementing curricular changes to introduce coding into formal school education. A necessary and critical success factor involves the preparation of and support for teachers to teach coding. Thus, understanding the perceptions of teachers…
Descriptors: Foreign Countries, Coding, Computer Science Education, Computation
Qing Guo; Junwen Zhen; Fenglin Wu; Yanting He; Cuilan Qiao – Journal of Educational Computing Research, 2025
The rapid development of large language models (LLMs) presented opportunities for the transformation of science and STEM education. Research on LLMs was in the exploratory phase, characterized by discussions and observations rather than empirical investigations. This study presented a framework for incorporating LLMs into Science and Engineering…
Descriptors: STEM Education, Computational Linguistics, Teaching Methods, Educational Change
Yulin Zhao; Junke Li; Kai Liu – Education and Information Technologies, 2024
Information technology is a significant action to promote education informatization. Currently, there are numerous literature studies on information technology education, but existing research lacks a comparative summary of the research status, research hot spots, and research trend of information technology in China and abroad from an overall…
Descriptors: Foreign Countries, Educational Research, Educational Trends, Information Technology
Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction