More Like this

1. Computational Thinking into K-12 Classrooms: Experiences and Challenges fromProfessional Learning Experiences

   Liu, Zhichun; Gearty, Zarina; Richard, Eleanor; Orrill, Chandra; Kayumova, Shakhnoza; Balasubramanian, Ramprasad (June 2022, Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022)

   China, C.' Tan; Chan, C.; Kali, Y. (Ed.)

   Teachers often find it challenging to learn computational thinking (CT) and integrate it with classroom learning. In this systematic review, we focus on how professional learning experiences have supported K-12 teachers to integrate CT into their classrooms. The findings suggest some effective strategies for building professional learning experiences but highlight the need for more agreement about the nature of CT. 

   more » « less
2. Leveraging Early Algebraic Experiences

   https://doi.org/10.5951/MTLT.2023.0347  

   Walton, Margaret; Walkoe, Janet (May 2025, Mathematics Teacher: Learning and Teaching PK-12)

   Understand how to consider your students’ informal algebraic experiences from early childhood to support their formal learning of algebra. 

   more » « less
3. Assessment of Adverse Childhood Experiences, Adverse Professional Experiences, Depression, and Burnout in US Physicians

   https://doi.org/10.1016/j.mayocp.2023.03.021  

   Trockel, Mickey T; West, Colin P; Dyrbye, Liselotte N; Sinsky, Christine A; Tutty, Michael; Wang, Hanhan; Carlasare, Lindsey E; Menon, Nikitha K; Shanafelt, Tait D (December 2023, Mayo Clinic Proceedings)
4. Ookami: Deployment and Initial Experiences

   https://doi.org/10.1145/3437359.3465578  

   Burford, Andrew; Calder, Alan; Carlson, David; Chapman, Barbara; Coskun, Firat; Curtis, Tony; Feldman, Catherine; Harrison, Robert; Kang, Yan; Michalowicz, Benjamin; et al (July 2021, PEARC '21: Practice and Experience in Advanced Research Computing)

   null (Ed.)

   Ookami [3] is a computer technology testbed supported by the United States National Science Foundation. It provides researchers with access to the A64FX processor developed by Fujitsu [17] in collaboration with RIKΞN [35, 37] for the Japanese path to exascale computing, as deployed in Fugaku [36], the fastest computer in the world [34]. By focusing on crucial architectural details, the ARM-based, multi-core, 512-bit SIMD-vector processor with ultrahigh-bandwidth memory promises to retain familiar and successful programming models while achieving very high performance for a wide range of applications. We review relevant technology and system details, and the main body of the paper focuses on initial experiences with the hardware and software ecosystem for micro-benchmarks, mini-apps, and full applications, and starts to answer questions about where such technologies fit into the NSF ecosystem. 

   more » « less
5. Dashboarding Research Experiences for Undergraduates

   Ravitz, Jason; Gallos, Lazaros; Ravitz-Dworkin, Amelia (January 2022, AECT 2022 45th Convention Proceedings)