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Hongzhu Long; Jiangting Liu – SAGE Open, 2025
This study aims to investigate the influence of interaction on undergraduates' continuance intention to use Massive Open Online Courses based on the Expectation Confirmation Model (ECM) and to examine the moderating effect of gender. 235 undergraduates were randomly sampled and surveyed, providing self-reports on 10 constructs (student-student…
Descriptors: MOOCs, Student Attitudes, Undergraduate Students, Peer Relationship
Ismaila Temitayo Sanusi; Enoch Shadrack Cudjoe; Musa Adekunle Ayanwale; Bisola Adepoju – SAGE Open, 2025
The increased trend of incorporating computer programming in the basic education system across countries requires the training of new educators. However, the current effort to increase the number of teachers teaching programming is through professional development programs for computer science (CS) teachers and from other content areas. Meanwhile,…
Descriptors: Preservice Teachers, Student Attitudes, Programming, Computer Science Education
Ana Brömmelhaus – SAGE Open, 2023
In almost all OECD countries, a significant proportion of students drop out of their studies and, despite a long tradition of research, the influence of a partnership has hardly been analyzed in this context. This paper examines whether the expectations and demands (the realistic and idealistic aspirations) of the partner influence the student's…
Descriptors: College Students, Spouses, Interpersonal Relationship, Intimacy
Yinhua Hao; Xiangmin Zeng; Megat Al Imran Yasin; Ng Boon Sim – SAGE Open, 2024
To explore the influencing factors of college students' learning intention to online teaching videos during the pandemic, this study considered 696 college students from Huangshan University in China. The T-test and ANOVA were utilized to analyze gender, grade, and discipline on college students' learning intention, and the regression analysis was…
Descriptors: Foreign Countries, College Students, Intention, Video Technology
Terblanche, Nicky; Kidd, Martin – SAGE Open, 2022
Chatbots are increasingly applied in various contexts including helping professions, such as organizational and life coaching. Coaching facilitates individual wellness, behavioral change, and goal attainment in a reflective, non-directive manner, and is considered one of the fastest-growing professions. The use of knowledge imparting service…
Descriptors: Educational Technology, Computer Software, Coaching (Performance), Age Differences
Si Xu; Pengfei Chen; Ge Zhang – SAGE Open, 2024
Artificial Intelligence (AI) tools are having a significant impact on the field of education, particularly when used by educators. This study aims to explore the acceptance of AI tools among university-level educators. Researchers adapted the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model to the Chinese educational context and…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Intention
Li, Aixia; Islam, A. Y. M. Atiquil; Gu, Xiaoqing – SAGE Open, 2021
This study extended the Expectancy Confirmation model (ECM) to examine the factors that influence online learning stickiness. The structural equation modeling was used to reveal the relationships among the factors through a survey of 395 online consumers. The findings indicate that learning stickiness was significantly impacted by switching cost…
Descriptors: Undergraduate Students, Learner Engagement, Electronic Learning, Online Courses
Wan, Liyong; Xie, Shoumei; Shu, Ai – SAGE Open, 2020
This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task-technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students' continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464…
Descriptors: Foreign Countries, College Students, Student Attitudes, Large Group Instruction
Yu, Chen-Wei; Chao, Cheng-Min; Chang, Che-Fu; Chen, Rueg-Juen; Chen, Po-Chung; Liu, Yi-Xuan – SAGE Open, 2021
This study developed and empirically tested a model to predict the factors affecting patients' behavioral intentions to use a mobile health education website. It explored the behavioral intention to use a mobile health education website from the perspective of consumers by extending the Unified Theory of Acceptance and Use of Technology 2 model…
Descriptors: Intention, Web Sites, Usability, Users (Information)
Mensah, Isaac Kofi; Tianyu, Zhao; Zeng, Guohua; Chuanyong, Luo – SAGE Open, 2019
This research paper examined the continued intention of college students to use DiDi mobile car-sharing services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework while the data analysis was completed with SPSS. The results have demonstrated that performance expectancy, reliability,…
Descriptors: Foreign Countries, College Students, Motor Vehicles, Intention
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
Dakduk, Silvana; Santalla-Banderali, Zuleima; van der Woude, David – SAGE Open, 2018
This article evaluates the factors involved in the acceptance of Blended Learning (BL) with executives based on the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model in executive education. The empirical analysis uses data from 307 responses to an online questionnaire by senior and middle-ranking managers. The confirmatory…
Descriptors: Blended Learning, Management Development, Administrator Attitudes, Motivation