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  • 标题:Teacher Perceptions of Training and Pedagogical Value of Cross-Reality and Sensor Data from Smart Buildings
  • 本地全文:下载
  • 作者:Shawn Rowe ; Mariapaola Riggio ; Raffaele De Amicis
  • 期刊名称:Education Sciences
  • 电子版ISSN:2227-7102
  • 出版年度:2020
  • 卷号:10
  • 期号:9
  • 页码:234-251
  • DOI:10.3390/educsci10090234
  • 出版社:MDPI Publishing
  • 摘要:This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12 science, technology, engineering, and mathematics (STEM) experiential learning and foster BECE-related career awareness. We conducted surveys and informal questionnaires with 33 primary and secondary teachers attending an annual two-day university-based teacher professional development workshop as part of a statewide STEM afterschool program serving students in rural communities. We assessed teachers’ familiarity with, knowledge about, and appraisal of using cross-reality platforms and sensor data in classrooms and after school curricula. Findings show that, while all teachers reported relatively high interest in learning about sensor applications and innovative interactive techniques, middle school teachers in particular were most likely to see value in using these applications for teaching and learning. Implications for teacher professional development are discussed.
  • 关键词:smart buildings; sensor data; cross-reality; data literacy; STEM education; K-12 education smart buildings ; sensor data ; cross-reality ; data literacy ; STEM education ; K-12 education
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