... Some resources focus on integrating science through physical computing to teach concepts related to the function of a four-chambered heart (TI, 2017a), plant physiology (Sacay & Molisani, 2016), irrigation systems (TI, 2017b), automated farming (Simpson, 2017), smart greenhouses (Jackson et al., 2022), and composting ecosystems (Chakarov et al., 2021). Additionally, some resources have focused on integrating physical computing from a T&E lens, addressing applications such as smart home devices (Love, Tomlinson, & Dunn, 2016), manufacturing systems (Brinkmeier & Kalbreyer, 2016), autonomous vehicles (Love & Bhatty, 2019), micro electric vehicles (Bartholomew et al., 2020), e-textiles (Kafai et al., 2014;Litts et al., 2017;Lui et al., 2020;Peppler, 2016;Strimel et al., 2019), the engineering design process (Love & Griess, 2020), and robotics (Berland & Wilensky, 2015;Schulz & Pinkwart, 2016). Physical computing learning experiences have been shown to be appropriate in elementary (e.g., Love & Griess, 2020;Plaza et al., 2018;Strimel et al., 2019), middle school (e.g., Berland & Wilensky, 2015;Cederqvist, 2021;Chakarov et al., 2021;Jackson et al., 2022;Love & Bhatty, 2019;Peppler, 2016;Sentance, Waite, Hodges, MacLeod, & Yeomans, 2017) and high school (Brinkmeier & Kalbreyer, 2016;Kafai et al., 2014;Litts et al., 2017;Lui et al., 2020;Sacay & Molisani, 2016;Schulz & Pinkwart, 2016;TI, 2017aTI, , 2017b settings. ...