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ABSTRACT BackgroundIn recent years, computer science education has emerged as a necessary part of school curricula for students of all ages. With such momentum in this direction, it is essential that program designers, educators, and researchers ensure that computer science education is designed to be inclusive, effective, and engaging for all students. ObjectiveAccordingly, this paper reports on the design and implementation of an inclusive digital learning platform and accompanying curriculum for scaffolding and integrating coding into writing instruction for elementary‐aged students (approximately ages 9–12). In this paper, we report on teachers' uses of the Compose and Code (CoCo) platform and curriculum, how students used its features, and its influence on students' computational thinking skills and attitudes about coding. MethodData analysed in this mixed‐methods study come from 11 teachers and 595 students in Grades 3–6. Data sources included teacher reflections and interviews, an assessment of computational thinking for students, and a coding attitudes survey for students. Quantitative data were analysed descriptively and using paired samplet‐tests. Qualitative data were analysed inductively using open coding to determine emergent categories. Results and ConclusionFindings indicate that (1) a majority of students effectively used the CoCo platform to plan their work and code in Scratch, with a smaller percentage using the self‐evaluation and self‐monitoring features, (2) teachers indicated overall positive perceptions of the CoCo platform and curriculum, with strong support for using it in the future, (3) students' computational thinking skills improved over the course of the project, with results indicating a large effect size (g = 1.24), and (4) student attitudinal results were mixed, providing insights to the barriers that students face when learning to code. Overall, this study indicates that the CoCo platform and curriculum show promise as a scaffolded, structured, and integrated tool for teaching elementary computer science to elementary grade students. 

When schools and universities across the world transitioned online due to the COVID-19 pandemic, Ed+gineering, a National Science Foundation (NSF) project that partners engineering and education undergraduates to design and deliver engineering lessons to elementary students, also had to shift its hands-on lessons to a virtual format. Through the lens of social cognitive theory (SCT), this study investigates engineering and education students’ experiences during the shift to online instruction to understand how they perceived its influence on their learning. As a result of modifying their lessons for online delivery, students reported learning professional skills, including skills for teaching online and educational technology skills, as well as Science, Technology, Engineering, and Mathematics (STEM) content. Some also lamented missed learning opportunities, like practice presenting face-to-face. Students’ affective responses were often associated with preparing and delivering their lessons. SCT sheds light on how the mid-semester change in their environment, caused by the shift in designing and teaching from face-to-face to online, affected the undergraduate engineering and education students’ personal experiences and affect. Overall, the transition to fully online was effective for students’ perceived learning and teaching of engineering. Though students experienced many challenges developing multimedia content for delivering hands-on lessons online, they reported learning new skills and knowledge and expressed positive affective responses. From the gains reported by undergraduates, we believe that this cross-disciplinary virtual team assignment was a successful strategy for helping undergraduates build competencies in virtual skills. We posit that similar assignment structures and opportunities post-pandemic will also continue to prepare future students for the post-pandemic workplace. 

This article reports results from the implementation of a model of professional development (PD) to help K-5 teachers develop the knowledge and skills to teach Computer Science (CS) in classrooms of diverse students, including students with high-incidence disabilities. This article describes our Inclusive CS model of PD, how we made the PD model available to teachers during a pandemic and presents quantitative and qualitative results about the impact of the PD on teachers’ knowledge, comfort, and beliefs related to teaching computer science to students. Results indicate that the teachers’ knowledge, comfort, beliefs and perceptions about teaching CS to students with disabilities significantly improved. Teachers’ knowledge and understanding of Universal Design for Learning for supporting students in learning about CS also improved. 

This study explores undergraduate engineering and education students’ perspectives on their interdisciplinary teams throughout the rapid transition to online learning and instruction from a face-to-face to a virtual format. In this qualitative study, students’ reflections and focus groups from three interdisciplinary collaborations were analyzed using the lens of Social Cognitive Theory. COVID-19 created a dramatic change in the environment such that the most immediate and direct impact on students’ experiences was on the environmental aspects of Bandura’s triadic reciprocal determinism model, which then triggered behavioral and personal responses to adapt to the new environment. Subsequent evidence of reciprocal effects between environmental, behavioral, and personal factors took place as students continued to adapt. Results suggest that the modifications made to transition the project fully online were meaningful experiences for students’ learning and teaching of engineering through teams. This interdisciplinary partnership provided both pre-service teachers and undergraduate engineering students with the opportunity to learn and practice content and professional skills that will be essential for success in future work environments.