(Anglin, Vaez & Cunnincham, 2004). The failure of visual aids can be attributed to factors such as violating the congruence and apprehension principle, lacking appropriate control functions, and mediation by individual characteristics. Across the board, researchers note the lack of appropriate user-control functions as the keyfactor.

Interactivity, or the user-control mechanisms of animation, is pointed out as a factor for users to better apprehend the knowledge which the visual aid aims to deliver. The functions of stopping, starting and replaying allow students to reinspect the animation. Consequently, students can focus on specific parts and actions of the visual aid. In addition, animations that allow users to control close-ups, zooming, and speed are more likely to facilitate perception and comprehension (Tversky et al, 2002). This study focuses on creating an animated visual aid with appropriate selfcontrolled functions to better help students' learning of introductory statistics. We consider different levels of interaction for mediating students' individual differences.

">

The Design And Development Of A User-Controlled Visual Aid For Improving Students’ Understanding In Introductory Statistics

Brandon K. Vaughn*, Pei-Yu Wang**
* Assistant Professor, The University of Texas at Austin
** Doctoral Candidate, The University of Texas at Austin.
Periodicity:June - August'2009
DOI : https://doi.org/10.26634/jsch.5.1.231

Abstract

The use of visual aids is expected to have a positive effect on students' learning. However, not all visual aids work equally well. A recent meta-analytic research which examined 42 studies has found that the use of animated visuals does not facilitate learning (Anglin, Vaez & Cunnincham, 2004). The failure of visual aids can be attributed to factors such as violating the congruence and apprehension principle, lacking appropriate control functions, and mediation by individual characteristics. Across the board, researchers note the lack of appropriate user-control functions as the keyfactor.

Interactivity, or the user-control mechanisms of animation, is pointed out as a factor for users to better apprehend the knowledge which the visual aid aims to deliver. The functions of stopping, starting and replaying allow students to reinspect the animation. Consequently, students can focus on specific parts and actions of the visual aid. In addition, animations that allow users to control close-ups, zooming, and speed are more likely to facilitate perception and comprehension (Tversky et al, 2002). This study focuses on creating an animated visual aid with appropriate selfcontrolled functions to better help students' learning of introductory statistics. We consider different levels of interaction for mediating students' individual differences.

Keywords

Animated Visual Aid, Statistics Education, Instructional Design, User-control Function.

How to Cite this Article?

Brandon K. Vaughn and Pei-yu (2009). The Design And Development Of A User-Controlled Visual Aid For Improving Students’ Understanding In Introductory Statistics. i-manager’s Journal on School Educational Technology. 5(1), 36-44. https://doi.org/10.26634/jsch.5.1.231

References

[1]. Albert, J. H. (1993). Teaching Bayesian Statistics Using Sampling Methods and MINITAB. The American Statistician, 47(3), 182-191.
[2]. Allen, M.P. (2007). Educational aspects of molecular simulation. Molecular Physics, 105(2), 157-166.
[3]. Anglin, G. J., Vaez, H., & Cunningham, K. L. (2004). Visual representations and learning: The role of static and animated graphics. In D. H. Jonassen (Ed.),Handbook of research for educational communications and technology (2nd ed., pp. 865916): Mahwah, NJ, Lawrence Erlbaum Associates, Publishers.
[4]. Ben-Zvi, D. (2000). Toward understanding the role of technological tools in statistical learning. Mathematical thinking and learning, 2 (1&2), 127-155.
[5]. Boucheix, J. & Schneider, E. (2008). Static and animated presentations in learning dynamic mechanical systems. Retrieved June 10, 2008 from: http://www.sciencedirect.com/science/article/B6VFW- 4S8TW2S-2/2/40057b78cb2557f941e425b66efe7c95
[6]. Dambolena, I.G. (1986). The t distribution and computer simulation. Mathematics and Computer Education, 20(1), 10-13.
[7]. Dambolena, I.G. (1986). Using Simulation in Statistics Courses. Collegiate Microcomputer, 4(4), 339-344.
[8]. Dinov, I. D., Sanchez, J., & Christou, N. (2008). Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses. Journal of Computers & Education, 50, 284300.
[9]. Garfield, J. (1995). How students learn statistics. International Statistics Review, 63(1), 25-34.
[10]. Garfield, J. & Ahlgren, A. (1988). Difficulties in learning basic concepts in probability and statistics: implications for research. Journal for Research in Mathematics Education, 19(1). 44-63.
[11]. Gordon, F. (1987). Computer Graphics Simulation of the Central Limit Theorem. Mathematics and Computer Education, 21(1), 48-55.
[12]. Kamthan,, P. (1999). JAVA applets in education. Retrieved June 10, 2008 from http://www.tech.irt. Org /articles/js151
[13]. Kulik, J. A. (2002). School Mathematics and Science Programs Benefit from Instructional Technology. National Science Foundation, Arlington, VA. Div. of Science Resources Statistics. Retrieved June 10, 2008 from http://www.nsf.gov/sbe/srs/infbrief/nsf03301/start.htm
[14]. Mayer, R.E. (2001). Multimedia learning. Cambridge University Press: Cambridge, MA.
[15]. Nap, T., & etc. (2003). Exploring the role of visualization and engagement in Computer Science Education. Inroads-The SIGCSE Bulletin, 35(2), 131-152.
[16]. Rieber, L. P. (1990). Animation in computer-based instruction. Educational Technology Research and Development, 38(1), 77-86.
[17]. Rosebery, A.S. & Rubin, A. (1990). Teaching Statistical Reasoning with Computers. Teaching Statistics, 12(2), 38-43
[18]. Rosebery, A.S. & Rubin, A. (1989). Reasoning Under Uncertainty: Developing Statistical Reasoning. Journal of Mathematical Behavior, 8, 205-219.
[19]. Savoldelli, G., Naik, V., Hamstra S. & Morgan, p. (2005) Barriers to use of simulation-based education, Can J Anaesth, 52, 944-950.
[20]. Segenchuk, S. (1997). The Role of visualization in education. Retrieved 6/12/2008: http://web.cs.wpi.edu/ ~matt/courses/cs563/talks/education/IEindex.html
[21]. Smith, B. (2003). Using and Evaluating Resampling Simulations in SPSS and Excel. Teaching Sociology, 31(3), 276-287.
[22]. Structural Informatics Group (2007). Digital Anatomist Project .Retrieve 6/12/2008: http://www9.biostr. Washington.edu/da.html
[23]. Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: Can it facilitate? International Journal of HumanComputer Studies, 57, 247-262.
[24]. Vekiri, I. (2002). What is the value of graphical displays in learning? Educational Psychology Review, 14(3), 261-312.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.