A Feasibility Study of the Kasi Learning System to Support Independent Use of STEM Diagrams by Students with Visual Impairments
Sarah E. Wegwerth*, Gianna Manchester, and Julia E. Winter
Abstract
Introduction: Visual model comprehension and application are important for success in STEM courses. As educational materials shift to primarily digital content with dynamic interactive visuals, students with visual impairments are at risk for being disadvantaged as few interactives are born accessible. To fill this gap of accessible digital STEM learning tools we designed and tested the Kasi Learning System. Kasi uses tactile manipulatives and computer vision with audio-based augmented reality algorithms to provide a multisensory experience of a digital interactive. Methods: Ten high school students who are blind or visually impaired participated in an underpowered random control study to evaluate the feasibility and usability of Kasi by completing an active learning lesson. The control group was instructed by a human whereas the Kasi group was instructed by a computer. Follow-up interviews with both students and their instructors provided further insight. Results: Comparing the experiences of the two groups suggest that Kasi is an effective instructor for completing the activity. Comparison of students who chose to use braille versus large print pieces revealed that braille users found the system to be easier to use. Discussion: All students efficiently identified the pieces. Regarding the audio, students who do not typically use a screen reader repeated the prompts more frequently and took longer to adapt to the system. Those in the Kasi group demonstrated increased engagement as shown by the increase in submitted answers. Overall, Kasi users’ performance improved significantly during the lesson. Implications for practitioners: Kasi is most readily adapted andused by those who do not rely on vision. However, students with low but usable vision may benefit from using a tool like Kasi earlier in their schooling to strengthen their auditory and tactile skills. Kasi appears to have the potential to provide students independence in studying STEM diagrams.
Introduction/Background
The understanding and use of visual models and diagrams, such as molecular structure and interactions between molecules, are important skills for success in STEM courses (Wu & Shah, 2004). Since diagrams, whether visual or tactile, are valuable tools for practicing scientists,both for problem solving and expressing understanding, they are a necessary part of STEM curricula (Kozma & Russell, 2005; Cooper et al., 2017). Indeed, even chemists with blindness and low vision value diagrams and have taken the time to report the best methods they have found to make tactile versions of diagrams and images for success in post-secondary courses (Supalo & Kennedy, 2014; Laconsay et al., 2020). The importance of understanding visuals has been supported by a chemistry education research study which found a correlation between visual model comprehension and student success in chemistry courses (Dickmann et al., 2019). Recently, it has been shown that development of comprehension is supported by drawing and sketching models (Stieff & DeSutter, 2021), but for students who are blind or visually impaired, this “drawing-to-learn” method is severely restricted (Maneki, 2019; Zebehazy & Wilton, 2014). It has been hypothesized that an inability to master visual model comprehension leads to drop-out of science studies and by extension, may also explain in part why students who are blind or visually impaired do not feel enabled to pursue science careers (Laconsay et al., 2020).
If not done properly, the current shift from paper textbooks to digital media could further reduce the science self-efficacy of students who are blind or visually impaired (McKenzie, 2019). The digital screen enables students to explore and draw visual models of ideas that are impossible to directly observe. For example, students can now investigate abstract ideas, such as molecular interactions and chemical reactivity, through dynamic visuals on a screen and receive real-time feedback (Wegwerth et al., 2021; Winter et al., 2020). Problematically, equitable experiences for students who are blind or visually impaired have, for the most part, either not been included or added in after production to meet minimum requirements set by WCAG (Web
Content Accessibility Guidelines) (Burton, 2021).
When included, accessibility features to meet WCAG guidelines typically consist of alternative text for static images or keyboard controls and audio cues for interactives (How to meet WCAG (Quick Reference), n.d.). These adaptions primarily rely on audio feedback which if paired with only verbal instruction, such as text-to-speech or lecture, is arguably inadequate for learning new concepts in chemistry. Based on a review of case studies of students who are blind or visually impaired in chemistry courses, it was recently concluded that “proper accommodation requires the use of tactile and audible materials” (Teke & Sozbilir, 2019). Likely, the tactile and audible materials act like visuals, which are believed to be valuable for novice chemistry students as they provide a concrete object that can be connected with and used to explain imperceptible concepts (Stieff & Ryan, 2013). This aligns with cognitive science’s Dual Coding Theory which predicts that when a concept is dually represented with both a verbal (e.g. the word “atom”) and a visual cue (a diagram of an atom) it is more easily learned and recalled (Paivio, 1990; Stieff & Ryan, 2013). Ainsworth (2006) extends this assumption to learning with multiple external representations, to include any combination of two or more external representations that complement each other or constrain each other’s interpretation. Therefore, a more comparable learning experience for students who are blind or visually impaired could be provided with a tool that provides both tactile and audio feedback, which indeed has been shown to increase an individual’s ability to visualize representations (Grabowski & Barner, 1998).
Digital interactives, defined herein as dynamic virtual environments that allow users to manipulate set variables and receive feedback, are becoming increasingly commonplace in the classroom. To bridge the gap of effectiveness of digital interactives between sighted students andstudents who are blind or visually impaired, we proposed and built the Kasi Learning System. Kasi replaces the screen and mouse user interface with tactile manipulatives and audio feedback to provide a multisensory experience. The core design of the Kasi system is the interlinking of three components:
1. A digital interactive, complete with a pedagogy and formative assessment
2. Tactile magnetic pieces that match the digital interactive’s user interface
3. Audio feedback provided through a combination of Computer Vision (CV) and audio-based Augmented Reality (AR) algorithms. Computer vision is a process that can be used to program a computer to extract and analyze information from an image. Kasi uses CV to detect the tactile pieces in images captured by an external webcam.
To use Kasi, the pieces are placed on a magnetic whiteboard positioned under a webcam that is connected to a computer running the digital interactive through a web-browser, as shown in Figure 1. Students can use the manipulatives to build, explore, and apply science diagrams. On command, Kasi uses CV to “read” the pieces and input the image into the digital interactive. Then AR software provides audio feedback to the student. In essence, Kasi (which is the Finnish word for hand) allows inexpensive tactile pieces to “talk” to students and control the digital interactive. Additionally, the pieces, which are visually appealing and comprehendible, can readily facilitate participation and communication using diagrams between students who are blind or visually impaired with their sighted peers and instructors and vice versa.
Figure 1: A photograph of the Kasi Learnign Sytem in use on the left and a photograph of the atom pieces on the right.
The study presented in this article sought to investigate the initial feasibility and usability of a prototype of the Kasi Learning System for supplementing high school chemistry courses. The prototype adapted an interactive for balancing chemical reactions using particle diagrams. To investigate Kasi’s usability, participants, high school students who are blind or visually impaired,used Kasi during an active learning session where instruction was intertwined with prompts. After an introduction to the tactile pieces and topic, half of the participants completed the lesson under the guidance of an in-person instructor (the interviewer) while the other half completed thelesson using Kasi. The primary research questions were:
1. How do users manipulate and interact with the physical pieces?
2. What is the effect of adding audio-based AR to physical manipulatives on student independence?
3. How is using Kasi equivalent to and how is it different from an in-person instructor?
Method
Materials
Prior to recruitment, the study was reviewed and approved by Sterling IRB. A survey of high school chemistry textbooks was used to devise the pedagogy for the active learning lesson. The learning objectives for the lesson were:
1. Construct models of molecules from individual atoms
2. Build a balanced chemical reaction for the reaction described
To complete the lesson, students used Kasi’s tactile pieces which include 3D-printed circles to represent the atoms Hydrogen, Carbon, Nitrogen, and Oxygen (Figure 1). The circles were about the size of a quarter and color coded by atom type following chemistry’s designated system for particle diagrams. Additionally, the pieces were labeled with their atomic symbol. To keep the pieces smaller, two sets were made, one with braille and one with a large print letter that is embossed due to the 3D printing process. All pieces of this prototype set were 3D-printed due to the availability of manufacturing methods during research and development. Readability was confirmed by a consultant, who was a recent college STEM major with congenital blindness. Each set contained eight white hydrogens labeled H, four black carbons labeled C, eight red oxygens labeled O, and four blue nitrogens labeled N. The remaining hardware, a whiteboard, webcam, and laptop computer were off-the-shelf items.
To enable Kasi to deliver the lesson, prompts in the pedagogy were pre-written and embedded into Kasi, then delivered using the Web Speech API for text-to-speech services to provide audio feedback (Web Speech API, n.d.). Students used keyboard controls to activate audio prompts and check their work. Commands to navigate through the pedagogy included the down arrow to repeat a prompt, the left arrow to go back to the previous prompt, and the right arrow to advance to the next prompt. To activate the CV and audio-AR, the space bar read the board and provided a description of the image, and the up arrow checked the student’s answer and provided a hint if incorrect.
Procedure
Both teachers of students with visual impairments (TVIs) and students participated in the study to provide a more comprehensive understanding of the feasibility of Kasi. TVIs observed their student(s) using Kasi and provided feedback in a semi-structured follow-up interview. Students participated in an active learning lesson over the course of two sessions. During the firstsession, students learned how-to and practiced building molecules and balancing chemical reactions. For the second session, usually on a second day, students completed one review problem on balancing chemical reactions. During the lesson, the researcher took on the role of in-person instructor and delivered the pedagogy for the sections that Kasi was not used. All researchers are experienced chemistry instructors and led the lesson to improve consistency in delivery of the pedagogy. Since accommodations for students with visual impairments are individualized based on students’ need and availability of resources, there is no standard method to which Kasi can be compared, thus a need for a control group was determined. To identify which differences are a direct result of the full Kasi system versus the Kasi pieces alone, an underpowered randomized control study was designed. During recruitment, students were surveyed about their visual acuityand the science courses they had completed. This information was used to make pairs of similar students. One from each pair was randomly assigned to the control and the other to the Kasi group. The researchers then traveled to students’ schools to lead the active learning lesson. Both groups started with using just the tactile pieces and following directions given by the in-person instructor (Table 1). Introduction of the full system was staggered between groups. After the lesson, students participated in a semi-structured follow-up interview. Both the active learning lesson and follow-up interviews were video- and audio-recorded. All data was de-identified priorto storage and analysis.
Table 1 : Overview of the Design and Purpose of Each Section of the Active Learning Lesson
An accessible version of Table 1 can be found Here.
Participants
Students were sourced through state-wide outreach to TVIs in Minnesota and Michigan, and at a school for the blind. Inclusion criteria for students were as follows:
1. They were enrolled in a high school
2. They receive accommodations for blindness or low vision
3. They had no serious cognitive or other sensory disabilities that would impact their ability to use Kasi as determined by their assigned TVI
Prior to engaging in research activities, assent and consent were collected for all participants. A total of 10 students were included in the study with varying degrees of vision and experience in chemistry. Five attended the same school for the blind and their science TVI participated. The other five attended a local public school, four rural and one suburban, and their assigned TVI participated in the study. Four students had completed a chemistry course whereas the remaining six were currently taking or had not yet taken a chemistry course. The study took place during a fall semester, which is typically prior to the coverage of balancing equations for those enrolled inchemistry. Visual acuity varied between participants: two were blind with no light perception, two had profound visual impairment (Snellen visual acuity = 20/500 to 20/1000), five had severevisual impairment (Snellen visual acuity = 20/200 to 20/400), and one had moderate visual impairment (Snellen visual acuity = 20/70 to 20/160). During the study, four participants chose to use the braille labeled pieces and the other six opted for the large print pieces.
Analysis
The usability of Kasi was evaluated based on student activity during the active learning session and answers to Likert questions during the follow-up interview. Each session recording was reviewed, and specific events were tallied. Events included: additional hint provided, incorrect answer submitted, and Kasi activation to read board or repeat the prompt. Notes were also taken to record error types, if Kasi hints were helpful in guiding students to the correct answer, and instances when additional reminders regarding the keyboard controls were needed. For each set of prompts, the percent of correct answers submitted was calculated to give a score. Scores were used to assign a relative proficiency value for cross-comparison of demonstrated student ability for each section of the activity. Proficiency definitions were as follow: high proficiency was a score greater than 90%, medium proficiency was between 75-90%, and low proficiency was less than 75%.
The active learning lesson was split into four sections, Parts A–D (Table 1). Due to the low incidence population and underpowered nature of this study, data was analyzed through qualitative comparisons between the control and Kasi groups.
Answers to Likert scale questions were tabulated and averaged. Student and TVI interviews were reviewed, and key quotes transcribed. These data were used to help understand observations of student use and feasibility of the system in educational settings.
Results
Active Learning Lesson
There were five participants in the control group and five participants in the Kasi group. In each group, two participants chose to use the braille labeled pieces and three chose to use the large print pieces.
In Part A, the procedures for both groups were identical. Participants were presented withKasi’s physical manipulatives as the concepts of atoms and molecules were introduced by an in-person instructor who provided verbal instructions on how to build various molecules. All students who selected to use the large print pieces were able to correctly identify each atom and place it on the board when prompted. The participants who opted to use the braille pieces at first struggled to distinguish between the 3D-printed O (o) and N (N) braille, as these letters are similar in braille and differ by only the presence or absence of dot 4. Two of the TVIs confirmed that they have found braille stickers to be easier to read than 3D-printed labels and based on these findings other methods to create braille letters will be investigated. Three braille users wereable to adapt and identify the pieces reliably throughout the activity, while one occasionally asked for verification that the intended piece was being used. The identical procedures for Part A provided an opportunity to compare the participants’ relative proficiency for completing each prompt between the two groups. In the Kasi group, three out of five participants demonstrated low proficiency whereas the control group had zero participants demonstrating low proficiency. In each group, one demonstrated medium, and one demonstrated high proficiency. This finding indicated that direct comparison between groups would be difficult as student abilities appeared to be unbalanced between groups.
Part B of the lesson consisted of two tutorials on how to construct representations of and balance chemical reactions. Completing the tasks for this section was more dependent on following directions than applying conceptual knowledge, providing an opportunity to evaluate the impact of the audio component of Kasi. For Parts C and D, participants followed instructions to build specific chemical reactions, then were prompted to balance the reaction. Balancing required problem solving and applying concepts learned in Part B. Part C served as a comparisonfor experience between the two groups. After a break, typically one day, all participants used the full Kasi system to complete Part D.
The clearest trend was uncovered by plotting the average score for each group, shown in Figure 2. To account for the lower proficiency of participants in the Kasi group and change in difficulty between prompts, comparison of the difference between the average scores was the focus of analysis. The control group has a higher average score throughout Parts A-C. Besides Reaction 1, the difference between the lines remains relatively constant. Between Reactions 3 and 4 at the end of Part C, the difference begins to decrease significantly. Then, at Part D the Kasi group has a higher average score.
Figure 2 : Average Scores During the Active Learning Lesson
Follow-Up Interviews
To measure impressions of the prototype, students were asked five Likert scale questions regarding use of Kasi (Table 2). All participants either strongly agreed or agreed that they would recommend Kasi to other students. Similarly, nine of ten students strongly agreed or agreed with each of the statements that Kasi is enjoyable, is easy to use, and has easy to understand audio. For each of the aforementioned prompts, one student, which varied for each prompt, was neutral. Upon probing why neutral scores were given for enjoyment and ease of use, students said it was because of a couple technical bugs that were encountered during use. In probing the neutral response regarding ease of understanding voice prompts, the student reported difficulty hearing the synthetic speech but the ability to repeat prompts helped significantly. Students also did not find the lesson hard to complete because of the tactile manipulatives except for one who did not offer additional explanation for the rating. In looking at average scores for responses (Table 2), relatively larger differences were found between braille and print letter users than comparing the control and Kasi group. The biggest differences were the braille users found it easier to understand the voice prompts, that the pieces did not make the lesson difficult to complete, and these students enjoyed using Kasi more.
Table 2: Averages for Students' Responses to Follow-up Liket Question
An accessible version of Table 2 can be found Here
Discussion
In hindsight, the underpowered randomized control study was perhaps a naïve approach, as learned firsthand during data collection, students who are blind or visually impaired are diverse in terms of abilities, preferences, and attitudes, resulting in a vast number of variables that make direct comparisons between students difficult. In terms of usability of Kasi, it was noted there were significant differences between participants who opted to use the braille pieces versus those who chose the large print pieces. The discussion below highlights when differences between the control and Kasi groups or the braille and large print users was more significant.
RQ1: How do users interact with and manipulate the physical pieces?
Throughout the lesson, differences were observed between the four students who opted touse braille versus the six who used large print pieces. Those that chose the braille relied on touchto determine both the identity and arrangement of the pieces and did so with higher accuracy. Conversely, the large print users relied on vision, even if just a pinhole, to look at the pieces when identifying and arranging the atoms. This posed a challenge when making sure the atoms were touching - which is necessary for the computer vision to recognize a molecule - due to the low contrast between the white borders of the pieces and the white board they were placed on. As some became more familiar with the pieces, they began relying on their sense of touch to identify the atoms based on the large print letters, which were embossed, throughout the activity. Despite some initial challenges, during the follow-up interview nine of the participants indicated that the physical pieces did not make the lesson harder to complete.Braille users also reported stronger disagreement with the statement “I found it hard to complete the lesson because of the physical pieces”. This finding is likely a reflection of the frequency with which each group uses tactile resources and are accustomed to relying on touch. As one participant who was blind with no light perception explained, “keeping track of the
pieces for the bigger ones was tricky but not hard. Had to keep a mental image in head but super helpful that the magnets kept the pieces from moving which makes it easier to count and read them.” This contrasts with students with low vision who reported they could produce drawings and use it for problem solving, thereby reducing the need for Kasi’s tactile pieces. Yet, many others, including TVIs, recognized the value of using manipulatives during learning and voiced the belief that the pieces could be beneficial for all students, not just those who are blind or visually impaired.
RQ2: What is the effect of adding audio-based AR to physical manipulatives on student
independence?
Comparing the performance of the control group to the Kasi group after the introduction of the audio component of Kasi, delivering instructions through a computer versus a human appears to have little to no effect. In looking at the graph in Figure 2, the gap between the average score between the two groups remains relatively constant from Part A, where proceduresare identical, through Part B, the tutorials. This suggests that delivery of the pedagogy through the system is as useful as in-person instruction.
Additional findings come from comparing the braille users versus the large print users. All four participants who read braille strongly agreed (gave a five on a five-point scale) that they could understand the audio prompts, whereas large print users on average just agreed (four on a five-point scale) with the statement. During the lesson, it was noted that large print users in the Kasi group repeat the audio four times more often than the braille users. These findings are presumed to be a reflection of tools regularly used by each group of students. The students who used the braille pieces also regularly used a screen reader and are thus more accustomed to listening to the directions and feedback, especially regarding the robotic nature of synthetic speech. Contrarily, some students who relied on vision exhibited an aversion to listening to Kasi.Interviews with TVIs support this hypothesis. One TVI noted that synthetic speech can be a barrier for students because, “they don’t even wanna listen to it... kids that have partial sight or are legally blind, but not completely blind, that is a huge hurdle to get past.” Similarly, a student expressed that using Kasi was different because, “I had to listen. That was really weird for me... I'm a visual [person]. I use my eyes more. For Kasi, I use my ears, so it's a lot different for me.” Even though some students appeared to struggle to listen to the synthetic speech at first, they appeared to adapt, and eventually perform as well as others. However, it is also recognized that students are more likely to use a learning tool if it provides an enjoyable experience. Kasi is envisioned to be improved by exploring options to tailor the synthetic speech to meet the user’s preference.
RQ3: How is using Kasi equivalent to and how is it different from an in-person instructor?
It is envisioned that the first versions of Kasi will be used during in-class activities where the instructor is moving around the room. In this case, a student could use Kasi to access the digital activity and submit answers independently but raise his or her hand for additional help as needed, same as the rest of the class. In terms of delivery of the pedagogy and instructions, some students with visual impairments who do not regularly use screen readers struggled to listen to the synthetic speech initially. This challenge seemed to be overcome by repeating prompts. Students also reported liking the ability to control the prompts and pace with keyboard controls and found them intuitive.
The biggest difference was the ability for the in-person instructor to provide tailored hintsand guidance based on student answers. Currently Kasi hints are based on correcting most common incorrect answers. Even so, 57 percent of hints given by Kasi were followed by students submitting a correct answer. As the system is further developed it is hoped that “smart hints” can be included, especially those that can ask a student to check the position of specific pieces for unintended errors due to placement of pieces. Interestingly, Kasi users demonstrated increased engagement with the activity and submitted more answers than the control participants. It is hypothesized that this is due to students being more willing to attempt different solutions when submitting responses to a computer rather than to a human. If this is true, then a secondary hypothesis is that the ability to learn through experimentation led to greater learning gains for the Kasi users. From Figure 2, it is remarkable to see how Kasi average scores significantly improved from Reaction 3 through the end of the lesson even though the prompts were getting harder. After the break between sessions, the students in the Kasi group scored on average higher than the control group. In contrast, the control group’s average stayed relatively constant from Reaction 3 to the end. Even the TVIs and researchers noted their surprise of watching some students from the Kasi group struggle with the concepts of building molecules and balancing chemical equations through PartsA-C then come back later to Part D and solve the problem with little to no challenge. The improvement of Kasi users from Part A to Part D indicates that Kasi may be a useful learning tool which will be further investigated in an efficacy study spanning a whole year of chemistry.
Finally, in response to what do you like about Kasi, students highlighted Kasi’s hints and feedback system, the audio responses, that it was fun and easy to use, helped with learning, and could be used by all students regardless of visual ability.
Implications for Practice
Students who are blind or visually impaired vary greatly in how they access visual materials and their comfort level in using different tools. From our usability study, we have observed that Kasi is most readily adapted to and used by those who are blind. The more functioning vision a student has though, the more effort that was required to acclimate to and usethe tactile and audio features of Kasi (Lloyd-Esenkaya et al., 2020). Based on our limited findings though, we are encouraged that the learning curve to using the tool appears to be short and by the end of Part D all participants in the Kasi group were able to use the system efficiently to balance chemical reactions.
In interviews, TVIs also voiced that often their students with low vision have underdeveloped auditory skills. Many also stated the need to incorporate tools like Kasi earlier so when students reach secondary courses, the grades of which are important for applications to higher education institutions, the tactile and audio skills Kasi utilizes are well developed. As one TVI highlighted, “familiarizing them with voice output would be an added benefit of using [Kasi] and getting them comfortable with that technology.”
Beyond knowledge acquisition, a system like Kasi has the potential to help students feel included and able to persist in STEM courses (Laconsay et al., 2020). Often resources students use make them feel different or belittled, as one TVI put it, “I feel bad for kids that are low vision because so many things are visual and you can’t always pull out something tactile that doesn’t look like second grade little yellow cubes and bars... it’s nice to have an adultish lookingitem.” Additionally, Kasi generates images that sighted peers and instructors can readily read, unlike a purely braille tactile diagram, which is important for fostering inclusion (Laconsay et al., 2020). Another TVI noted the potential Kasi has to improve self-esteem and support meaningful participation of students with visual impairments in group work. “It is important for them to have independence and feel good about what they can do, this could help them gain confidence in using [their] auditory channel. Also would help [them] be a part of group settings rather than wait and not get a part to play.” Developed using the Universal Design for Learning Framework (CAST, n.d.), Kasi is a system with a goal of providing an essentially equivalent experience to students regardless of their visual ability.
Limitations
The study presented utilized an early prototype of the Kasi Learning System with a high-level goal of answering the general question “can it work?” (Bowen et al., 2010), which is answered based on findings to the research questions presented earlier in the manuscript. Inherently, the study has limited external validity in exchange for a time- and cost-effective method for testing for proof-of-concept. As such, there are limitations to the study design and methods.
Regarding demographics, sufficient information to clearly define students’ degree of visual field loss, etiology of visual impairment, and accommodation preferences (example enlargement of images vs tactile representation, and frequency of use of a screen reader) was not collected. To respect participants’ privacy, researchers did not ask to see or be given specific information from students’ individualized education plans (IEPs). Rather, the research team described the Kasi system and the inclusion criteria to the TVIs who then identified students that would fit the study. While no additional disabilities that could impact use of Kasi were reported or noticed by the research team, it is possible that some participants had additional minor disabilities that were not disclosed. Due to the limited demographic information collected, a detailed understanding of how a student’s profile relates to the usability of Kasi could not be gained. Additionally, due to the small sample size and large number of variables between students, including vision level, grade, science background, type of school attending, and motivation, the results of this study are not generalizable. The findings reported herein are indicators of what parts of Kasi can work and where improvements should be made.
Unintentionally, usability regarding readability of the pieces may be obscured due to the use of a 3D printer. All pieces of this prototype set were 3D-printed due to the availability of manufacturing methods during research and development. While the braille labeled pieces had been tested with a consultant who is congenitally blind, the large print labeled pieces were not tested with a low vision consultant prior to the study. Due to the 3D printing process, the large print letter ends up being embossed because the letter is a different color from the background and therefore needs to be printed as a separate layer. However, the letters were large print so that students with low vision could read the pieces. Additionally, the contrasting backgrounds of the pieces also appeared to be useful for some of the students with remaining vision. It is possible that the embossed nature of the print letter pieces presented an unfamiliar medium to the participants with low vision and impacted their experience with the Kasi system. For some participants, it may have been the first time they encountered embossed letters which may have been distracting or impacted how they read the pieces. Similarly, the braille users may have struggled unnecessarily to read the pieces as braille produced using a 3D printer can be more difficult to perceive. Work is currently underway to create flat pieces to which clear braille label stickers can be placed on top. Usability may also have been impacted by the limited ability for students to tailor the synthetic speech to their preferences.
Student use of Kasi was external to a chemistry course and short in time. Therefore, this study cannot make any claims about feasibility in a real classroom setting or long-term impacts. Finally, the results are limited to visuals that are two-dimensional representations and further work would be needed to investigate the feasibility of using Kasi to connect three-dimensional visuals to two-dimensional representations.
Future Research
Based on this usability study, improvements to the usability and feasibility of the Kasi system will be made. The pedagogy will be expanded to cover an entire general chemistry course. To support new diagram types, additional pieces will be designed and produced. These improvements will be iteratively developed and evaluated through a usability and feasibility study. The final product will be evaluated in a pilot study that will utilize a multiple baseline single-case design (MB SCD). The low-incidence of students who are blind or visually impaired (National Center for Education Statistics., 2021) makes conducting experimental group design studies with adequate statistical power cost prohibitive (Odom et al., 2005). To date, the majorityof research focused on interventions designed for students who are blind or visually impaired hasemployed single-case designs (Sutter, et al., 2020). A MB SCD design is particularly appropriatefor the proposed future study because there is variation in the degree of sightedness across students with visual impairments, so a MB SCD will provide information on the effectiveness of Kasi for students with different profiles, which could potentially be otherwise obscured in an under-powered group design approach.(Horner et al., 2005; Kazdin, 2010) This study will evaluate the extent to which Kasi improves the science self-efficacy and chemistry content knowledge of students who are blind or visually impaired in high school general education chemistry classrooms.
Declaration of Conflicting Interests
The authors declare the following competing financial interest(s): The Kasi Learning System is aproduct of Alchemie Solutions, Inc, and authors Wegwerth, Manchester, and Winter have received compensation for work performed as employees of Alchemie Solutions, Inc.
Funding
Funding for this project was provided by the Institute of Education Sciences, U.S. Department ofEducation, through the Small Business Innovation Research (SBIR) program contracts #91990021C0031 and #91990018C0001 to Alchemie Solutions, Inc. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education.
References
Ainsworth, S. (2006). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16(3), 183–198. https://doi.org/10.1016/j.learninstruc.2006.03.001
Bowen, D. J., Kreuter, M., Spring, B., Linnan, L., Weiner, D., Bakken, S., Kaplan, C. P., Squiers, L., & Fabrizio, C. (2010). How we design feasibility studies. National Institutes of Health Public Access, 36(5), 452–457. https://doi.org/10.1016/j.amepre.2009.02.002
Burton, D. (2021). Should WCAG compliance be your goal? The Viscardi Center. Retrieved March 9, 2022, from https://www.viscardicenter.org/should-wcag-compliance-be-your-goal/
CAST. (n.d.). Universal design for learning guidelines (version 2.2.). Retrieved January 5, 2022,from http://udlguidelines.org
Cooper, M. M., Stieff, M., & DeSutter, D. (2017). Sketching the invisible to predict the visible: From drawing to modeling in chemistry. Topics in Cognitive Science, 9(4), 902–920. https://doi.org/10.1111/tops.12285
Dickmann, T., Opfermann, M., Dammann, E., Lang, M., & Rumann, S. (2019). What you see is what you learn? The role of visual model comprehension for academic success in chemistry.Chemistry Education Research and Practice, 20(4), 804–820. https://doi.org/10.1039/c9rp00016j
Grabowski, N. A., & Barner, K. E. (1998). Data visualization methods for the blind using force feedback and sonification. Proceedings SPIE, 3524. https://doi.org/10.1117/12.333677
Horner, R. H., Carr, E. G., Halle, J., McGee, G., Odom, S., & Wolery, M. (2005). The use of single-subject research to identify evidence-based practice in special education. Exceptional
Children, 71(2), 165–179. https://doi.org/10.1177/001440290507100203How to meet WCAG (Quick Reference). (n.d.). Retrieved February 12, 2022, from
https://www.w3.org/WAI/WCAG21/quickref/
Kazdin, A. E. (2010). Single-case research designs: Methods for clinical and applied settings (2nd ed.). Oxford University Press.
Laconsay, C. J., Wedler, H. B., & Tantillo, D. J. (2020). Visualization without vision – How blind and visually impaired students and researchers engage with molecular structures. The Journal of Science Education for Students with Disabilities, 23(1), 1–21. https://doi.org/10.14448/jsesd.12.0012
Lloyd-Esenkaya, T., Lloyd-Esenkaya, V., O’Neill, E., & Proulx, M. J. (2020). Multisensory inclusive design with sensory substitution. Cogntive Research: Principles and Implications, 5, Article 37. https://doi.org/10.1186/s41235-020-00240-7Maneki, A. (2019). Teaching blind kids to draw: What have we learned so far. American Action Fund for Blind Children and Adults, Future Reflections, Special Issue on Tactile Fluency. Retrieved January 8, 2022, from https://nfb.org/images/nfb/publications/fr/fr38/2/fr380207.htm
McKenzie, L. (2019). Pearson’s next chapter. Inside Higher Ed. Retrieved from https://www.insidehighered.com/digital-learning/article/2019/07/16/pearson-goes-all-digital-first-strategy-textbooks
National Center for Education Statistics. (2021). Annual reports and information staff: Students with disabilities. Institution of Education Sciences. https://nces.ed.gov/programs/coe/indicator/cggOdom, S. L., Brantlinger, E., Gersten, R., Horner, R. H., Thompson, B., & Harris, K. R. (2005).
Research in special education: Scientific methods and evidence-based practices. Exceptional Children, 71(2), 137–148. https://doi.org/10.1177/001440290507100201
Paivio, A. (1990). Mental representations: A dual coding approach. In Oxford Psychology Series. https://doi.org/10.1093/acprof:oso/9780195066661.001.0001
Kozma, R., & Russell, J. (2005). Students becoming chemists: Developing representationl competence. In J. K. Gilbert (Eds.), Visualization in science education. Models and modeling in science education (vol 1). Springer, Dordrecht. https://doi.org/10.1007/1-4020-3613-2_8
Stieff, M., & DeSutter, D. (2021). Sketching, not representational competence, predicts improved science learning. Journal of Research in Science Teaching, 58(1), 128–156. https://doi.org/https://doi.org/10.1002/tea.21650
Stieff, M., & Ryan, S. (2013). Pedagogic roles of animations and simulations in chemsitry courses. In Explanatory Models for the Research & Development of Chemistry Visualizations, (pp. 15–41).
Supalo, C. A., & Kennedy, S. H. (2014). Using commercially available techniques to make organic chemistry representations tactile and more accessible to students with blindness or low vision. Journal of Chemical Education, 91(10), 1745–1747. https://doi.org/10.1021/ed4005936
Sutter, C., Demchak, M., Grumstrup, B., Forsyth, A., & Grattan, J. (2020). Research designs and literature in the field of visual impairment: What informs our practices? Journal of Visual Impairment & Blindness, 114(5), 356–369. https://doi.org/10.1177/0145482X20958886
Teke, D., & Sozbilir, M. (2019). Teaching energy in living systems to a blind student in an inclusive classroom environment. Chemistry Education Research and Practice, 20(4), 890–