skip to main content
10.1145/3446590.3446595acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicetmConference Proceedingsconference-collections
research-article

The Influence of Self-Efficacy, Perceived Usefulness, Perceived Ease of Use, and Cognitive Load on Students' Learning Motivation, Learning Attitude, and Learning Satisfaction in Blended Learning Methods

Published: 17 May 2021 Publication History

Abstract

This research explores the relationship between self-efficacy, perceived usefulness, perceived ease of use, cognitive load and students' learning motivation, learning attitude, and learning satisfaction when blended learning is applied to the freshman with interactive game design curriculum of the University of Science and Technology. The questionnaire survey method is applied in this study so that it analyzes the relationship between the research variables and verifies the hypothesis based on the collected 173 valid questionnaires. It obtains the following conclusions: (1) “Perceived usefulness” positively affects “learning motivation”, “learning attitude”, and “learning satisfaction”. (2) “Mental load” negatively affects “learning motivation”, “learning attitude”, and “learning satisfaction”. (3) “Perceived ease of use” positively affects “learning attitude”. (4) The study infers that students believe that the powerful functionality of blended learning is an important factor affecting their learning motivation, attitude, and satisfaction. As for whether students find the learning task difficult when using blended learning methods, this research has also confirmed that if students feel that the load is heavier, their learning motivation, attitude, and satisfaction will also be affected.

References

[1]
Bliuc, A.-M., Goodyear, P., and Ellis, R.A. (2007). “Research focus and methodological choices in studies into students' experiences of blended learning in higher education”. The Internet and Higher Education, 10(4): 231-244.
[2]
Sun, Z., Xie, K., and Anderman, L. H. (2018). “The role of self-regulated learning in students' success in flipped undergraduate math courses”. The Internet and Higher Education, 36: 41-53.
[3]
Singh, H. (2003). “Building effective blended learning programs”. Educational Technology, 43(6): 51-54.
[4]
Osguthorpe, R. T., and Graham, C. R. (2003). “Blended learning environments: definitions and directions”. The Quarterly Review of Distance Education, 4(3): 227-233.
[5]
Johnson, C. S. (2017). “Collaborative technologies, higher order thinking and self-sufficient learning: A case study of adult learners”. Research in Learning Technology, 25: 1-17.
[6]
Castro, R. (2019). “Blended learning in higher education: Trends and capabilities”. Education and Information Technologies, 24: 2523-2546.
[7]
Bandura, A., and Cervone, D. (1986). “Differential engagement of self-reactive influence in cognitive motivation”. Organizational Behavior and Human Decision Processes, 38(1): 92-113.
[8]
Carmichael, C., Callingham, R., Hay, I., and Watson, J. (2010). “Statistical literacy in the middle school: The relationship between interest, self-efficacy and prior mathematics achievement”. Australian Journal of Educational and Developmental Psychology, 10: 83-93.
[9]
Mcconney, A., Oliver, M., Woods-McConney, A., Schibeci, R., and Maor, D. (2014). “Inquiry, engagement, and literacy in science: A retrospective, cross‐national analysis using PISA 2006”. Science Education, 98(6): 963-980.
[10]
Davis, F. D. (1989). “Perceived usefulness, perceived ease of use, and user acceptance of information technology”. MIS Quarterly, 13(3): 319-340.
[11]
Sweller, J. (1988). “Cognitive load during problem solving: effects on learning”. Cognitive science, 12(2): 257-285.
[12]
Sweller, J. (2010). “Element Interactivity and Intrinsic, Extraneous, and Germane Cognitive Load”. Educational Psychology Review, 22: 123-138.
[13]
Hulleman, C. S., Durik, A. M., Schweigert, S. A., and Harackiewicz, J. M. (2008). “Task values, achievement goals, and interest: An integrative analysis”. Journal of Educational Psychology, 100(2): 398-416.
[14]
Glynn, S. M., Aultman, L. P., and Owens, A. M. (2005). “Motivation to learn in general education programs”. The Journal of General Education, 54(2): 150-170.
[15]
Huang, W. D. (2011). “Evaluating learners' motivational and cognitive processing in an online game-based learning environment”. Computers in Human Behavior, 27(2): 694-704.
[16]
Pintrich, P. R. (1999). “The role of motivation in promoting and sustaining self-regulated learning”. International Journal of Educational Research, 31(6): 459-470.
[17]
Oroujlou, N., and Vahedi, M. (2011). “Motivation, attitude, and language learning”. Procedia - Social and Behavioral Sciences, 29: 994-1000.
[18]
Rahimi, M., and Hassani, M. (2012). “Attitude towards EFL textbooks as a predictor of attitude towards learning English as a foreign language”. Procedia-Social and Behavioral Sciences, 31: 66-72.
[19]
Towle, M. (1982). “Learning how to be a student when you have a learning disability”. Journal of Learning Disabilities, 15(2): 7-13.
[20]
Ciampa, K. (2014). “Learning in a mobile age: An investigation of student motivation”. Journal of Computer Assisted Learning, 30(1): 82-96.
[21]
Abraugh, J. B. (2000). “How classroom environment and student engagement affecting in internet-based MBA courses”. Business communication quarterly, 63(4): 9-26.
[22]
David, W. L., and Joao, S. N. (2010). “Determinants of Undergraduate Business Student Satisfaction”. Research in Higher Education Journal, 6(1): 1-26.
[23]
Kuo, Y. C., Walker, A. E., Belland, B. R., and Schroder, K. E. (2013). “A predictive study of student satisfaction in online education programs”. International Review of Research in Open and Distance Learning, 14(1): 16-39.
[24]
Schwarzer, R., and Born, A. (1997). “Optimistic self-beliefs: Assessment of general perceived self-efficacy in thirteen cultures”. World Psychology, 3(1-2): 177-190.
[25]
Hwang, G. J., Yang, L. H., and Wang, S.Y. (2013). “A concept map-embedded educational computer game for improving students’ learning performance in natural science courses”. Computers & Education, 69: 121-130.
[26]
Pierce, R., Stacey, K., and Barkatsas, A. (2007). “A scale for monitoring students’ attitudes to learning mathematics with technology”. Computers & Education, 48: 285-300.
[27]
Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., and Yeh, D. (2008). “What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction”. Computers & Education, 50(4): 1183-1202.

Cited By

View all
  • (2024)Assessing the impact of interactive multimedia learning platforms on dance education outcomesInternational Journal of ADVANCED AND APPLIED SCIENCES10.21833/ijaas.2024.09.00211:9(7-16)Online publication date: Sep-2024
  • (2024)Influence of AI-driven educational tools on critical thinking dispositions among university students in Malaysia: a study of key factors and correlationsEducation and Information Technologies10.1007/s10639-024-13150-8Online publication date: 9-Nov-2024
  • (2023)The impact of entrepreneurship knowledge on students' e-entrepreneurial intention formation and the moderating role of technological innovativenessJournal of Innovation and Entrepreneurship10.1186/s13731-023-00351-712:1Online publication date: 25-Nov-2023
  • Show More Cited By
Index terms have been assigned to the content through auto-classification.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICETM '20: Proceedings of the 2020 3rd International Conference on Education Technology Management
December 2020
161 pages
ISBN:9781450388757
DOI:10.1145/3446590
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 May 2021

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Blended learning
  2. learning attitude
  3. learning motivation
  4. learning satisfaction

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICETM 2020

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)101
  • Downloads (Last 6 weeks)10
Reflects downloads up to 03 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Assessing the impact of interactive multimedia learning platforms on dance education outcomesInternational Journal of ADVANCED AND APPLIED SCIENCES10.21833/ijaas.2024.09.00211:9(7-16)Online publication date: Sep-2024
  • (2024)Influence of AI-driven educational tools on critical thinking dispositions among university students in Malaysia: a study of key factors and correlationsEducation and Information Technologies10.1007/s10639-024-13150-8Online publication date: 9-Nov-2024
  • (2023)The impact of entrepreneurship knowledge on students' e-entrepreneurial intention formation and the moderating role of technological innovativenessJournal of Innovation and Entrepreneurship10.1186/s13731-023-00351-712:1Online publication date: 25-Nov-2023
  • (2023)Students’ online learning adaptability and their continuous usage intention across different disciplinesHumanities and Social Sciences Communications10.1057/s41599-023-02376-510:1Online publication date: 18-Nov-2023
  • (2022)Comparing the Effectiveness of Instructor-Led Versus Video-Based Learning Methods for Online Website Accessibility TrainingHCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games10.1007/978-3-031-22131-6_14(189-206)Online publication date: 26-Jun-2022

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media