Working together for better student learning: A multi-university, multi-federal partner program for asynchronous learning module development for radar-based remote sensing systems

Mark B. Yeary, Tian You Yu, Robert D. Palmer, Hector Monroy, Isabelle Ruin, Guifu Zhang, Phillip B. Chilson, Michael Irwin Biggerstaff, Christopher Weiss, Kelly Ann Mitchell, L. Dee Fink

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Students are not exposed to enough real-life data. This paper describes how a community of scholars seeks to remedy this deficiency and gives the pedagogical details of an ongoing project that commenced in the Fall 2004 semester. Fostering deep learning, this multiyear project offers a new active-learning, hands-on interdisciplinary laboratory program in which engineering, geoscience, and meteorology students are encouraged to participate actively. Storms, tornadoes, and hazardous weather cause damage and loss that could be minimized through enhanced radar technologies and longer warning lead times. To study these topics, the program has generated a unique, interdisciplinary research-oriented learning environment that will train future engineers and meteorologists in the full set of competencies needed to take raw radar data and transform them into meaningful interpretations of weather phenomena.

Original languageEnglish
Article number5299239
Pages (from-to)504-515
Number of pages12
JournalIEEE Transactions on Education
Volume53
Issue number3
DOIs
StatePublished - Aug 2010

Keywords

  • Active learning
  • Internet
  • educational modules
  • radar systems
  • remote sensing
  • weather environment

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