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ERIC Number: EJ1330319
Record Type: Journal
Publication Date: 2022
Pages: 6
Abstractor: ERIC
ISBN: N/A
ISSN: ISSN-0036-8555
EISSN: N/A
Data at a Distance: Innovative Science Experiments Using the Internet of Things
Van Doren, Seth; Hardy, Lisa; Dixon, Colin; Hsi, Sherry
Science Teacher, v89 n3 p26-31 Jan-Feb 2022
Long before the "Next Generation Science Standards" ("NGSS") were formalized, sensors and other probeware engaged students in science and engineering practices (Metcalf and Tinker 2004). A new generation of probeware based on modern Internet of Things (IoT) technologies is beginning to expand the ways that students can collaborate and conduct scientific investigations (Bondaryk, Hsi, and Van Doren 2021). With IoT, data-driven investigations can happen both in and out of schools, and everywhere in between. Integrated Science Practices Enhanced by Computational Thinking (InSPECT) is a NSF-supported project leveraging IoT to build the next generation of tools for classroom science. The authors observed a second-year teacher, Ms. W., at a public San Francisco Bay Area high school using InSPECT in their ninth-grade biology class, and came away with three key insights into how IoT systems could change science classrooms: (1) IoT offers new ways to learn about the world; (2) technology unleashes student curiosity and creativity; and (3) learning takes place in and out of the classroom. The authors discuss these insights as well as challenges and advantages of implementing IoT systems in the classroom.
National Science Teaching Association. 1840 Wilson Boulevard, Arlington, VA 22201-3000. Tel: 800-722-6782; Fax: 703-243-3924; e-mail: membership@nsta.org; Web site: https://www.nsta.org/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Grade 9; High Schools; Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: California (San Francisco)
Grant or Contract Numbers: N/A