The Use of Images in Online Learning: A Qualitative Content Analysis

The Use of Images in Online Learning: A Qualitative Content Analysis

Jason D. Bader, Chareen Snelson, Patrick R. Lowenthal, Norm Friesen
Copyright: © 2022 |Pages: 16
DOI: 10.4018/IJOPCD.302088
OnDemand:
(Individual Articles)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Images can improve learning and performance. However, research suggests that many online educators and instructional designers lack the knowledge, skills, and abilities to effectively create and use images when designing online courses and instructional materials. Given this problem, we conducted a qualitative content analysis of images used within 20 different college courses to better understand how images are used in online courses. After creating a new image categorization, we coded 232 images. Results found that while only 27% of images in online courses were educational, other types of images can still serve important roles in online courses. The results were used to create a new framework for image use in online learning. We conclude the paper with recommendations that can help online educators and instructional designers select images for the online courses they design and teach.
Article Preview
Top

Literature Review

In the following section, we briefly summarize the literature on images’ effect on learning, the different types and effective use of educational images, and challenges educators face creating and using images in online learning.

Images Effect on Learning

Using images in education is not new (Mietzner et al., 2005). Researchers have been investigating the educational uses of images for decades dating back to the 1970s (Jordaan & Jordaan, 2013). One of the breakthroughs was Paivio’s (1986) dual coding theory of cognitive processing (see Figure 1) which suggests that the primary purpose of using images is for meaning-making (Daley, 2003; Eisner, 2002; Nuzzaci, 2019). Using words and visuals in tandem exemplify possibilities for polysemic understanding of the ability to exploit multiple information channels (Mackay, 2003), and in turn can have a profound effect on learning (Davis, 2015; Dirksen, 2015; Lohr, 2008). Based on theories like dual coding, Mayer developed a theory of multimedia learning positing that students learn best from a combination of text and images rather than from words or images alone (Mayer, 2020).

Figure 1.

Illustration of the Dual Coding Theory Note: Copyright 2020 by Bader

IJOPCD.302088.f01

However, using images in education is a complicated process that requires attention to both the content of the image and the context of the image’s surroundings (West et al., 2020). Further, being visually literate is more than being able to interpret (i.e., decode) visuals; people, and educators, in particular, need to be able to create (i.e., encode) visuals. In fact, Braden (1996) conceptualized visual literacy as the ability to efficiently analyze, compose, and create visual images. To help educators become visually literate and specifically to be able to create educational images, Lohr (2008) developed the ACE model. The ACE model stands for the three stages of image creation: analyze, create, and evaluate.

Complete Article List

Search this Journal:
Reset
Volume 14: 1 Issue (2024)
Volume 13: 1 Issue (2023)
Volume 12: 4 Issues (2022)
Volume 11: 4 Issues (2021)
Volume 10: 4 Issues (2020)
Volume 9: 4 Issues (2019)
Volume 8: 4 Issues (2018)
Volume 7: 4 Issues (2017)
Volume 6: 4 Issues (2016)
Volume 5: 4 Issues (2015)
Volume 4: 4 Issues (2014)
Volume 3: 4 Issues (2013)
Volume 2: 4 Issues (2012)
Volume 1: 4 Issues (2011)
View Complete Journal Contents Listing