The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Exploring the relationships between learning styles, online participation, learning achievement and course satisfaction: An empirical study of a blended learning course
Abstract
The purpose of this study was twofold: first, to explore the relationship between students' learning styles and their online participation in a blended learning course, and second, to investigate the relationships of students' online participation with their learning achievement and with course satisfaction. A total of 78 undergraduate students from a general education course called D igital C itizenship took part in the study. All the participants were required to participate in four different types of online activity: information access , interactive learning , networked learning and materials development . The study used the method of partial least squares to explore the relationships between different constructs. The results indicate that students' learning styles were significantly related to online participation and that online participation in networked learning and materials development was significantly related to their learning achievement and course satisfaction. This study highlights not only the crucial role of learning styles in online participation but also the importance of individual constructivism and social interaction for effective online learning.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Statistical Power Analysis for the Behavioral Sciences
Muller, K. (1989) · Technometrics · doi:10.1080/00401706.1989.10488618 · Cited by 99,167
(1983) · Cited by 33,192
(2014) · DigitalCommons - Kennesaw State University (Kennesaw State University) · Cited by 12,785
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Blended learning: Uncovering its transformative potential in higher education
Garrison, D. R., & Kanuka, H. (2004) · The Internet and Higher Education · doi:10.1016/j.iheduc.2004.02.001 · Cited by 4,849
Learning and Teaching Styles in Engineering Education.
Felder, R. M., & Silverman, L. K. (1988) · Cited by 3,475
Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y., & Yeh, D. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.11.007 · Cited by 2,726
Editorial: Three types of interaction
Moore, M. G. (1989) · American Journal of Distance Education · doi:10.1080/08923648909526659 · Cited by 2,471
Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008) · Psychological Science in the Public Interest · doi:10.1111/j.1539-6053.2009.01038.x · Cited by 2,147
Online formative assessment in higher education: A review of the literature
Gikandi, J. W., Morrow, D., & Davis, N. E. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.004 · Cited by 1,260
Virtual Classroom Characteristics and Student Satisfaction with Internet-Based MBA Courses
Arbaugh, J. B. (2000) · Journal of Management Education · doi:10.1177/105256290002400104 · Cited by 742
Paechter, M., Maier, B., & Macher, D. (2010) · Computers & Education · doi:10.1016/j.compedu.2009.08.005 · Cited by 731
Usability, quality, value and e-learning continuance decisions
Chiu, C.-M., Hsu, M.-H., Sun, S.-Y., Lin, T.-C., & Sun, P.-C. (2005) · Computers & Education · doi:10.1016/j.compedu.2004.06.001 · Cited by 567
Jung, I., Choi, S., Lim, C., & Leem, J. (2002) · Innovations in Education and Teaching International · doi:10.1080/14703290252934603 · Cited by 566
Collaborating Online: Learning Together in Community
(2006) · Personnel Psychology · doi:10.1111/j.1744-6570.2006.00060_9.x · Cited by 531
A theory of online learning as online participation
Hrastinski, S. (2009) · Computers & Education · doi:10.1016/j.compedu.2008.06.009 · Cited by 528
Performance in e‐learning: online participation and student grades
Davies, J., & Graff, M. (2005) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2005.00542.x · Cited by 525
Lonn, S., & Teasley, S. D. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.04.008 · Cited by 467
Lee, S. J., Srinivasan, S., Trail, T., Lewis, D., & Lopez, S. (2011) · The Internet and Higher Education · doi:10.1016/j.iheduc.2011.04.001 · Cited by 422
Tracking student behavior, persistence, and achievement in online courses
Morris, L. V., Finnegan, C., & Wu, S.-S. (2005) · The Internet and Higher Education · doi:10.1016/j.iheduc.2005.06.009 · Cited by 421
Systems Analysis by Partial Least Squares
Wold, H. (1985) · Measuring the Unmeasurable · doi:10.1007/978-94-009-5079-5_11 · Cited by 420
Carver, C. A., Howard, R. A., & Lane, W. D. (1999) · IEEE Transactions on Education · doi:10.1109/13.746332 · Cited by 411
In-Depth Analysis of the Felder-Silverman Learning Style Dimensions
Sabine Graf, A., Viola, S. R., Leo, T., & Kinshuk (2007) · Journal of Research on Technology in Education · doi:10.1080/15391523.2007.10782498 · Cited by 304
The Utility of the Myers-Briggs Type Indicator
Pittenger, D. J. (1993) · Review of Educational Research · doi:10.2307/1170497 · Cited by 245
Examining student satisfaction with wholly online learning
Palmer, S. R., & Holt, D. M. (2009) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2008.00294.x · Cited by 225
Huang, E. Y., Lin, S. W., & Huang, T. K. (2012) · Computers & Education · doi:10.1016/j.compedu.2011.08.003 · Cited by 203
Effects of teaching and learning styles on students’ reflection levels for ubiquitous learning
Hsieh, S.-W., Jang, Y.-R., Hwang, G.-J., & Chen, N.-S. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.01.004 · Cited by 201
Palmer, S., Holt, D., & Bray, S. (2008) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2007.00780.x · Cited by 182
Browne, T., Jenkins, M. D., & WALKER, R. A. (2006) · Interactive Learning Environments · doi:10.1080/10494820600852795 · Cited by 166
Rovai, A. P., & Baker, J. D. (2005) · Cited by 164
Learning together online: Research on asynchronous learning networks
Nason, M. (2006) · Education and Information Technologies · doi:10.1007/s11134-006-7366-5 · Cited by 162
Teaching and learning online: A beginner's guide to e-learning and e-teaching in higher education
Oliver, R., & Herrington, J. (2001) · Murdoch University Research Portal · Cited by 148
Hui, W., Hu, P. J., Clark, T. H. K., Tam, K. Y., & Milton, J. (2007) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2007.00257.x · Cited by 148
Shaw, R.-S. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.08.013 · Cited by 139
Innovation for Better Teaching and Learning: Adopting the Learning Management System
Alias, N. A., & Zainuddin, A. A. (2005) · Cited by 135
Learning styles and student attitudes toward various aspects of network-based instruction
Federico, P.-A. (2000) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00021-2 · Cited by 131
Investigating university students’ adaptation to a digital learner course portfolio
López-Fernández, O., & Illera, J. L. R. (2008) · Computers & Education · doi:10.1016/j.compedu.2008.11.003 · Cited by 128
AGE AND GENDER DIFFERENCES IN ONLINE BEHAVIOR, SELF-EFFICACY, AND ACADEMIC PERFORMANCE
Chyung, S. Y. (2007) · Quarterly review of distance education · doi:10.1108/qrde-09-2007-0004 · Cited by 112
Who needs to do what where?: Using learning management systems on residential vs. commuter campuses
Lonn, S., Teasley, S. D., & Krumm, A. E. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.10.006 · Cited by 95
Student satisfaction with learning management systems: a lens of critical success factors
Naveh, G., Tubin, D., & Pliskin, N. (2012) · Technology Pedagogy and Education · doi:10.1080/1475939x.2012.720413 · Cited by 91
The effect of learning style on preference for web‐based courses and learning outcomes
Zacharis, N. Z. (2010) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2010.01104.x · Cited by 91
Effects of an Online Visual Procedure on Task Completion, Time, and Attitude
Bradshaw, A. C., & Johari, A. (2003) · Journal of Educational Computing Research · doi:10.2190/0kvf-bnyt-7cpw-wwcy · Cited by 7
Cited by
Challenges in the online component of blended learning: A systematic review
Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103701 · Cited by 1,472
Online Learning: Adoption, Continuance, and Learning Outcome—A Review of Literature
Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.05.005 · Cited by 607
Faculty’s and Students’ Perceptions of Online Learning During COVID-19
Almahasees, Z., Mohsen, K., & Amin, M. O. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.638470 · Cited by 543
She, L., Ma, L., Jan, A., Sharif Nia, H., & Rahmatpour, P. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.743936 · Cited by 170
Evaluating the effectiveness of blended learning using the ARCS model
Ma, L., & Lee, C. S. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12579 · Cited by 132
Metadata
- Authors
- Cheng, G., & Chau, J.
- Venue
- British Journal of Educational Technology
- Publisher
- Wiley
- Published
- 2014-12-22
- Volume
- 47
- Issue
- 2
- Pages
- 257-278
- ISSN
- 0007-1013 (ISSN-L)
- 1467-8535
- OpenAlex
- W1708013612
- Cited by
- 274
- References
- 44
- FWCI
- 20.50
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
