Investigating the influence of students' learning-style preferences on user intentions regarding illustration software
Authors: 
Yu-Hsin Hung, Ray-I ChangAuthors Info & Claims
Yu-Hsin Hung, Ray-I ChangAuthors Info & ClaimsPages 179 - 183
Abstract
With repaid development of web techniques, the Internet brings great innovation to the world. Visualization tools have especially attracted attention from researchers because visual representations such as diagrams and charts can easily express data to receivers. Computer assisted visualization systems are presently used in such industries as medicine, service, and finances, so students equipped with fundamental knowledge of illustration software may enhance their core competencies. In addition, learning style refers to an individual's approach to learning based on preferences, strengths, and weaknesses. This study investigated the influence of learning-style preferences on learners' intentions to use illustration software. The experiment's result showed that different learning styles could affect learners' preferences in illustration software and differences in user satisfaction between "active-reflective" and "global-sequential" learning styles.
References
[1]
Friendly, M., & Denis, D. J. 2001. Milestones in the history of thematic cartography, statistical graphics, and data visualization. http://www.datavis.ca/milestones.
[2]
Ainsworth, S., Prain, V., & Tytler, R. 2011. Drawing to learn in science. representations, 3, 5.
[3]
Van Meter, P., & Garner, J. 2005. The promise and practice of student-generated drawing: Literature review and synthesis. Educational Psychology Review, 17(4), 285--325.
[4]
Stern, E., Aprea, C., & Ebner, H. G. 2003. Improving cross-content transfer in text processing by means of active graphical representation. Learning and Instruction, 13(2), 191--203.
[5]
Latham, A. M., Crockett, K. A., McLean, D. A., Edmonds, B., & O'Shea, K. 2010. Oscar: An intelligent conversational agent tutor to estimate learning styles. In Proceedings of the IEEE world congress on computational intelligence 2010 (pp. 2533--2540). Spain: Barcelona.
[6]
Avgoustinov, N. 2000. VRML as means of expressive 4D illustration in CAM education. Future Generation Computer Systems, 17(1), 39--48.
[7]
Ieronutti, L., & Chittaro, L. 2007. Employing virtual humans for education and training in X3D/VRML worlds. Computers & Education, 49(1), 93--109.
[8]
Keefe, D. F., Acevedo, D., Miles, J., Drury, F., Swartz, S. M., & Laidlaw, D. H. 2008. Scientific sketching for collaborative VR visualization design. IEEE Transactions on Visualization and Computer Graphics, 14(4), 835--847.
[9]
Leenaars, F. A., van Joolingen, W. R., & Bollen, L. 2013. Using self - made drawings to support modelling in science education. British journal of educational technology, 44(1), 82--94.
[10]
Harle, M., & Towns, M. H. 2013. Students' understanding of primary and secondary protein structure: Drawing secondary protein structure reveals student understanding better than simple recognition of structures. Biochemistry and Molecular Biology Education, 41(6), 369--376.
[11]
Van Joolingen, W. R., Bollen, L., Leenaars, F., & Gijlers, H. (2012, January). Drawing-Based modeling for early science education. In Intelligent Tutoring Systems (pp. 689--690). Springer Berlin Heidelberg.
[12]
Diaz, D. P., & Cartnal, R. B. 1999. Students' learning styles in two classes: Online distance learning and equivalent on-campus. College teaching, 47(4), 130--135.
[13]
Graf, S., & Liu, T. C. 2010. Analysis of learners' navigational behaviour and their learning styles in an online course. Journal of Computer Assisted Learning, 26(2), 116--131.
[14]
Graf, S., Viola, S. R., Leo, T. & Kinshuk 2007. In-depth analysis of the felder-silverman learning style dimensions. Journal of Research on Technology in Education, 40(1), 79--93.
[15]
Felder, R. M., & Silverman, L. K. 1988. Learning and teaching styles in engineering education. Engineering education, 78(7), 674--681.
[16]
Felder, R. & Spurlin, J. 2005. Applications, Reliability, and Validity of the Index of Learning Styles, International Journal of Engineering Education 21, 1, pp. 103--112
[17]
Felder, R. M. and Soloman, B. A. 2003. Index of Learning Styles Questionnaire, Available online at http://www.ncsu.edu/felder-public/ILSdir/ilsweb.html.
[18]
Parvez, S. M., & Blank, G. D. 2007. A pedagogical framework to integrate learning styles into intelligent tutoring systems. Journal of Computing Sciences in Colleges, 22(3), 183--189.
[19]
MeeSoft (2014). Available online at http://logicnet.dk/DiagramDesigner/
[20]
Download.com Editors, 2009, Available online at http://download.cnet.com/Diagram-Designer/3000-2191_410429024.htm
[21]
Waterloo University, 2012. Understanding your learning styles: the Soloman-Felder index of learning styles (Retrieved from cte.uwaterloo.ca/teaching_resources/tips/understanding_your_learning_style.html.)
[22]
Huang, E. Y., Lin, S. W., & Huang, T. K. 2012. What type of learning styles leads to online participation in the mixed-mode e-learning environment? A study of software usage instruction. Computers & Education, 58(1), 338--349.
[23]
Deterding, S., Sicart, M., Nacke, L., O'Hara, K., & Dixon, D. (2011, May). Gamification. using game-design elements in non-gaming contexts. In CHI'11 Extended Abstracts on Human Factors in Computing Systems (pp. 2425--2428). ACM.
[24]
Raymer, R., & Design, E. L. 2011. Gamification: Using Game Mechanics to Enhance eLearning. Elearn Magazine, 2011(9), 3.
[25]
Jain, S., & Stephan, F. 2010. Query-based learning. In Encyclopedia of Machine Learning (pp. 820--822). Springer US.
[26]
Chang, R. I., Lin, S. Y., & Hung, Y. 2012. Particle swarm optimization with query-based learning for multi-objective power contract problem. Expert Systems with Applications, 39(3), 3116--3126.
Index Terms
- Investigating the influence of students' learning-style preferences on user intentions regarding illustration software
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Published: 10 January 2019
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- Ministry of Science and Technology (MOST), Taiwan
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IC4E 2019
IC4E 2019: 2019 10th International Conference on E-Education, E-Business, E-Management and E-Learning
January 10 - 13, 2019
Tokyo, Japan
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