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1. WySLICE - Integrating Computer Science throughout Existing K-12 Core Disciplinary Areas

   Borowczak, Mike ; Burrows, Andrea C. ; Johnson, Mason ( July 2021 , 2021 ASEE Virtual Annual Conference Content Access)

   Wyoming recently mandated that computer science instruction be provided in K-12 schools by 2022, and there is an urgent need for designing instruction that can integrate computer science into the teaching of other subjects. This project assembles a network improvement community comprised of partners from the University of Wyoming, community colleges, Wyoming school districts, the Wyoming Library System, the Wyoming Department of Education, and local software development firms. The community meets once monthly over the duration of the project to collaborate stakeholder agendas for meeting the project goals. The community enlists K-8 teachers from across the state to experience professional development and collaborate on integrating computer science into their instruction of STEM and social science topics. The project is producing units for teachers, who are implementing these units with support from master teachers and educational scholars. The community serves as a forum for teachers to debrief and learn from each other about ways to improve their instruction and design of the curricular units. Libraries in the state system act as partners for dissemination to rural areas of the innovative instructional approaches. WySLICE prepares 150 K-8 teachers and state librarians from all disciplines to integrate computer science into their teaching. The project is reaching almost half of all K-8 students in Wyoming. The research questions address how teachers use modeling practices as supports for student understanding of algorithms and coding in a variety of ways. The curricula involve cybersecurity as well as other topics relevant to measurement in mathematics and social studies topics that involve social concerns like voting. Data sources include teacher lesson plans and recordings of their instructional implementation, scoring of each of these according to a rubric, meeting notes of monthly meetings, and results from pre-post student assessments. The evaluation focuses on the meeting of project goals and the quality of the management of the network improvement community. This project is jointly funded by CS for All and the Established Program to Stimulate Competitive Research (EPSCoR). This work is supported by the National Science Foundation under DRL Grant #1923542 "CS For All:RPP - Booting Up Computer Science in Wyoming." 

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2. Learning with Leadership: Perspectives from a Statewide Research-Practice Partnership Focused on Equity-Oriented Computing Professional Development for K-12 Administrators

   Ryoo, J.J. ; Flapan, J. ; Hadad, R. ; Margolis, J. ; Amalong, J. ; Aranguren, L. ; Campos, E. ; Knudson, J. ; Lee, M. ; Zuchowicz, M. ( January 2021 , Proceedings of the Annual SIGCSE Conference on Innovation and Technology in Computer Science Education)

   null (Ed.)

   While the Computer Science for All (CS for All) movement has led to valuable advancements in equity-oriented curricula and teacher professional development, critical questions remain about how to build the capacity of school and district leadership to implement equitable CS education. How can administrators be supported in decision-making practices so that their school policies facilitaterather than hinder CS for All efforts? Our statewide research-practice partnership (RPP)—representing fourteen different urban, rural, and suburban local education agencies (LEAs) across the state—sought to tackle this question by collaboratively developing, implementing, and iteratively improving upon a guide and workshop for administrators seeking to bring CS into their schools, as well as a multi-stakeholder PD for teachers, counselors, and principals. Both researcher and administrator panelists will share how we built an RPP, lessons learned in creating administrator resources, and details about effective multi-stakeholder PD. In line with SIGCSE’s 2021 call, this panel will inform audience members about how RPPs and a focus on leadership can expand computing education opportunities for more students in K-12 public schools. 

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3. A Year in K-12 AI Education

   https://doi.org/10.1609/aimag.v40i4.5289  

   Touretzky, David ; Gardner-McCune, Christina ; Breazeal, Cynthia ; Martin, Fred ; Seehorn, Deborah ( January 2020 , AI Magazine)

   The time is ripe to consider what 21st-century digital citizens should know about artificial intelligence (AI). Efforts are under way in the USA, China, and many other countries to promote AI education in kindergarten through high school (K–12). The past year has seen the release of new curricula and online resources for the K–12 audience, and new professional development opportunities for K–12 teachers to learn the basics of AI. This column surveys the current state of K–12 AI education and introduces the work of the AI4K12 Initiative, which is developing national guidelines for AI education in the USA.   A Note to the Reader This is the inaugural column on AI education. It aims to inform the AAAI community of current and future developments in AI education. We hope that the reader finds the columns to be informative and that they stimulate debate. It is our fond hope that this and subsequent columns inspire the reader to get involved in the broad field of AI education, by volunteering their expertise in their local school district, by providing level-headed input when discussing AI with family and friends or by lending their considerable expertise to various decision makers. We welcome your feedback, whether in the form of a response to an article or a suggestion for a future article. – Michael Wollowski, AI in Education Column Editor 

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4. An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms.

   Zhang, H. ; Lee, I. ; Moore, K. S ( February 2024 , Proceedings of the EAAI-24: The 14th Symposium on Educational Advances in Artificial Intelligence.)

   Artificial intelligence (AI) has rapidly pervaded and reshaped almost all walks of life, but efforts to promote AI literacy in K-12 schools remain limited. There is a knowledge gap in how to prepare teachers to teach AI literacy in inclusive classrooms and how teacher-led classroom implementations can impact students. This paper reports a comparison study to investigate the effectiveness of an AI literacy curriculum when taught by classroom teachers. The experimental group included 89 middle school students who learned an AI literacy curriculum during regular school hours. The comparison group consisted of 69 students who did not learn the curriculum. Both groups completed the same pre and post-test. The results show that students in the experimental group developed a deeper understanding of AI concepts and more positive attitudes toward AI and its impact on future careers after the curriculum than those in the comparison group. This shows that the teacher-led classroom implementation successfully equipped students with a conceptual understanding of AI. Students achieved significant gains in recognizing how AI is relevant to their lives and felt empowered to thrive in the age of AI. Overall this study confirms the potential of preparing K-12 classroom teachers to offer AI education in classrooms in order to reach learners of diverse backgrounds and broaden participation in AI literacy education among young learners. 

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5. Developing a Model of Disciplinary Literacy Instruction for K-12 Engineering Education: Comparing the Literacy Practices of Electrical and Mechanical Engineers (Fundamental)

   Green, T. ; Wilson-Lopez, A. ; Minichiello, A. ( July 2019 , ASEE Annual Conference proceedings)

   Despite efforts to diversify the engineering workforce, the field remains dominated by White, male engineers. Research shows that underrepresented groups, including women and minorities, are less likely to identify and engage with scientific texts and literacy practices. Often, children of minority groups and/or working-class families do not receive the same kinds of exposure to science, technology, engineering, and mathematics (STEM) knowledge and practices as those from majority groups. Consequently, these children are less likely to engage in school subjects that provide pathways to engineering careers. Therefore, to mitigate the lack of diversity in engineering, new approaches able to broadly support engineering literacy are needed. One promising approach is disciplinary literacy instruction (DLI). DLI is a method for teaching students how advanced practitioners in a given field generate, interpret, and evaluate discipline-specific texts. DLI helps teachers provide access to to high quality, discipline-specific content to all students, regardless of race, ethnicity, gender, or socio-economic status, Therefore, DLI has potential to reduce literacy-based barriers that discourage underrepresented students from pursuing engineering careers. While models of DLI have been developed and implemented in history, science, and mathematics, little is known about DLI in engineering. The purpose of this research is to identify the authentic texts, practices, and evaluative frameworks employed by professional engineers to inform a model of DLI in engineering. While critiques of this approach may suggest that a DLI model will reflect the literacy practices of majority engineering groups, (i.e., White male engineers), we argue that a DLI model can directly empower diverse K-16 students to become engineers by instructing them in the normed knowledge and practices of engineering. This paper presents a comparative case study conducted to investigate the literacy practices of electrical and mechanical engineers. We scaffolded our research using situated learning theory and rhetorical genre studies and considered the engineering profession as a community of practice. We generated multiple types of data with four participants (i.e., two electrical and two mechanical engineers). Specifically, we generated qualitative data, including written field notes of engineer observations, interview transcripts, think-aloud protocols, and engineer logs of literacy practices. We used constant comparative analysis (CCA) coding techniques to examine how electrical and mechanical engineers read, wrote, and evaluated texts to identify the frameworks that guide their literacy practices. We then conducted within-group and cross-group constant comparative analyses (CCA) to compare and contrast the literacy practices specific to each sub-discipline Findings suggest that there are two types of engineering literacy practices: those that resonate across both mechanical and electrical engineering disciplines and those that are specific to each discipline. For example, both electrical and mechanical engineers used test procedures to review and assess steps taken to evaluate electrical or mechanical system performance. In contrast, engineers from the two sub-disciplines used different forms of representation when depicting components and arrangements of engineering systems. While practices that are common across sub-disciplines will inform a model of DLI in engineering for K-12 settings, discipline-specific practices can be used to develop and/or improve undergraduate engineering curricula. 

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