Search for: All records

Among ongoing eforts to broaden participation in K–12 computer science (CS) education, the Advanced Placement (AP) Computer Science Principles (CSP) course receives a lot of attention. While prior research has shown increased participation among some his- torically underrepresented groups, little is known about how the course serves students with disabilities. This study examines participation patterns of students with dis- abilities in CSP courses across 230 public schools in Pennsylvania during the 2022–2023 academic year. Drawing on statewide enroll- ment data from 306 CSP courses, we conducted a series of statistical analyses to investigate relationships between student participation and school-level capacity factors identifed by the Capacity, Ac- cess, Participation, and Experience (CAPE) framework, including teacher experience, school funding, and locale. Findings show that many factors have a small, but statistically signifcant infuence. However, CSP courses labeled as AP were associated with signif- cantly lower participation rates among students with disabilities, compared to CSP courses without the designation. These fndings suggest that course labeling and underlying assumptions about aca- demic rigor may unintentionally limit opportunities for students with disabilities. 

Parsons problems have become a mainstay of computer science education. They are heavily used among students, especially in K-12 and provide a small puzzle-like experience for students to practice their skills. Today, while prior work has explored com- plex issues with accessibility and block languages in general, the 2024 changes to accessibility regulations by the U.S. Department of Justice includes new rules around mobile platforms. These rules are ill-defned and in need of evaluation. In this work, we make several contributions. First, we conducted an evaluation of existing blocks with respect to their regulatory compliance and discuss a new blocks technology that we developed that meets these new mobile guidelines. Second, we conducted three empirical studies using Parsons problems to evaluate the usability of the technology with teachers of the visually impaired (n = 32), high-school students with diverse disabilities (n = 28), and high-school students with blindness or low vision (n = 13). 

Objective To meaningfully organize scientific computing based on evidence gathered through user feedback, build a statistical package based on the findings and provide a replication packet to run similar studies on people with different backgrounds. Method A randomized controlled trial using a weighted, ranked choice survey (n = 118) with between-subjects design having two independent variables: Language Group (Matlab, Python and R) and Method Name options. Our dependent variable was a normalized preference rating. Findings There was a very small interaction between Language Group and Method Name. Language Group did not have a statistically significant effect, but Method Name did (F(4, 27037) = 2211.23, p < .001)(𝜂2 𝑝 = .247). Finally, many names in Matlab, Python and R were ranked so poorly that they were not statistically significantly different from a random word in 63.0%, 62.2% and 30.4% of concepts respectively. Implications We found organized and structured names were ranked by a large margin, suggesting statistical programming today likely needs considerable improvement. Finally, we outline a statistical package built using these principles, provide comparison scripts and describe some of the challenges from going from simple surveys to in-practice libraries. 

Despite the interest in equity, little research has considered students with disabilities in PreK-12 computer science education. The 2022 Computer Science Teachers Association and Kapor Center facilitated Landscape Survey of PreK-12 CS Teachers, which had over 2200 responses, gives us new insight. There were few significant differences between the experiences and perceptions of teachers with disabilities and those without. Accessibility was the least taught computing concept. Furthermore, teachers reported on a variety of barriers that students with disabilities encounter related to structural barriers, students choosing note to take CS, and teachers' perceptions of student ability. The findings point to the need for interventions related to resources, outreach, and policy. 

The introduction of block-based programming has gradually changed the landscape of programming education, particularly for school children. Block languages today, however, have serious technical barriers to students with disabilities. For example, block languages are generally not screen reader accessible, incompatible with braille, and contain serious problems for users with motor impairments. No student with a disability should ever be denied access to learning computer science and they do not have to be. To help rectify this, we present a new approach to the design of block languages called Quorum Blocks. Quorum Blocks uses a custom hardware accelerated graphical rendering pipeline that takes into account how screen readers and other devices work under the hood. We discuss these technical details and demonstrate that accessibility support can be fully achieved without meaningfully losing either the look of modern blocks or their visual output. We present the results from focus groups that highlight the barriers students faced with a variety of disabilities when using the first version of Quorum Blocks. We focus especially on challenges with low vision users, screen reader users, or those using no mouse and only one hand to type. Block languages built using either our techniques, or on top of our libraries, would become accessible out of the box. 

The CSforALL movement to bring computational thinking to K-12 has been a boon for practitioners and language developers. This panel features three educators passionate about a particular lan- guage that has been successful with K-12 audiences. Each will demonstrate their language, describe what makes it unique, and share some of the fun and engaging projects students have created. 

Polyglot programming, the use of multiple programming languages during the development process, is common practice in modern software development. This study investigates this practice through a randomized controlled trial conducted under the context of database programming. Participants in the study were given coding tasks written in Java and one of three SQL-like embedded languages. One was plain SQL in strings, one was in Java only, and the third was a hybrid embedded language that was closer to the host language. We recorded 109 valid data points. Results showed significant differences in how developers of different experience levels code using polyglot techniques. Notably, less experienced programmers wrote correct programs faster in the hybrid condition (frequent, but less severe, switches), while more experienced developers that already knew both languages performed better in traditional SQL (less frequent, but more complete, switches). The results indicate that the productivity impact of polyglot programming is complex and experience level dependent. 

Introduction: Informational graphics and data representations (e.g., charts and figures) are critical for accessing educational content. Novel technologies, such as the multimodal touchscreen which displays audio, haptic, and visual information, are promising for being platforms of diverse means to access digital content. This work evaluated educational graphics rendered on a touchscreen compared to the current standard for accessing graphical content. Method: Three bar charts and geometry figures were evaluated on student ( N = 20) ability to orient to and extract information from the touchscreen and print. Participants explored the graphics and then were administered a set of questions (11–12 depending on graphic group). In addition, participants’ attitudes using the mediums were assessed. Results: Participants performed statistically significantly better on questions assessing information orientation using the touchscreen than print for both bar chart and geometry figures. No statistically significant difference in information extraction ability was found between mediums on either graphic type. Participants responded significantly more favorably to the touchscreen than the print graphics, indicating them as more helpful, interesting, fun, and less confusing. Discussion: Accessing and orienting to information was highly successful by participants using the touchscreen, and was the preferred means of accessing graphical information when compared to the print image for both geometry figures and bar charts. This study highlights challenges in presenting graphics both on touchscreens and in print. Implications for Practitioners: This study offers preliminary support for the use of multimodal, touchscreen tablets as educational tools. Student ability using touchscreen-based graphics seems to be comparable to traditional types of graphics (large print and embossed, tactile graphics), although further investigation may be necessary for tactile graphic users. In summary, educators of students with blindness and visual impairments should consider ways to utilize new technologies, such as touchscreens, to provide more diverse access to graphical information. 

Approximately 10% of computer science and engineering majors have a disability. Students with disabilities face a variety of challenges including those related to stigma around disability, inaccessible tools and instruction, disability disclosure, and a lack of mentors. This BOF will bring together individuals who are interested in increasing the representation of students with disabilities in computing and improving their success. Participants will share strategies to help each other do a better job of including these students in our classes and research projects. Resources related to accessible tools and instruction, universal design of learning, opportunities for students, and more will be shared.