دورية أكاديمية

Extending Technology Acceptance Model to Higher-Education Students' Use of Digital Academic Reading Tools on Computers

التفاصيل البيبلوغرافية
العنوان: Extending Technology Acceptance Model to Higher-Education Students' Use of Digital Academic Reading Tools on Computers
اللغة: English
المؤلفون: Lin, Yupeng (ORCID 0000-0002-3182-2459), Yu, Zhonggen (ORCID 0000-0002-3873-980X)
المصدر: International Journal of Educational Technology in Higher Education. 2023 20.
الإتاحة: BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences
Peer Reviewed: Y
Page Count: 24
تاريخ النشر: 2023
نوع الوثيقة: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Reading Processes
Usability
Prediction
Student Attitudes
Academic Achievement
Cooperative Learning
Self Efficacy
Academic Language
Educational Benefits
Computer Software
College Faculty
College Students
Technology Uses in Education
Negative Attitudes
Positive Attitudes
Instructional Design
DOI: 10.1186/s41239-023-00403-8
تدمد: 2365-9440
مستخلص: Digital academic reading tools on computers bring multiple benefits to higher-education students. Through structural equation modeling methods, this study contributes to the following findings: (1) Perceived ease of use, perceived usefulness, and lecturers' positive responses significantly predict students' positive attitudes toward digital academic reading tools on computers; (2) perceived ease of use, lectures' positive responses, and expectations of academic achievement are significantly positive predictors of students' perceived usefulness of these tools; (3) attitudes and expectations of academic achievement significantly predict students' positive intentions to use these tools; (4) academic experience significantly predicts students' negative attitudes toward these tools; (5) perceived ease for collaborative learning and self-efficacy are significantly positive predictors of students' perceived ease of using these tools. Findings in this study may contribute to understanding the external factors influencing students' acceptance and use of digital academic reading tools on computers with a substantial explanatory power of the proposed model (R[superscript 2] = 64.70-84.20%), which may benefit researchers, instructors, students, and technology designers.
Abstractor: As Provided
Entry Date: 2023
رقم الأكسشن: EJ1381450
قاعدة البيانات: ERIC
الوصف
تدمد:2365-9440
DOI:10.1186/s41239-023-00403-8