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Creating a KnowledgeCentered Learning Environment for the Instruction of Stochastic Processes

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Title: Creating a KnowledgeCentered Learning Environment for the Instruction of Stochastic Processes


1
Creating a Knowledge-Centered Learning
Environment for the Instruction of Stochastic
Processes
  • Timothy I. Matis, New Mexico State University
  • Linda A. Riley, William Rogers University
  • James H. Matis, Texas AM University

2
Project Sponsor
  • National Science Foundation
  • Directorate for Education and Human Resources
  • Division of Undergraduate Education
  • Course Curriculum and Lab Improvement Program
  • Educational Materials Development
  • Proof-of-Concept Project 0230643

3
Pedagogy
  • Based on the How People Learn educational
    research compilation of the National Research
    Council
  • Utilize collaborating industrial partners and DVD
    visual media to enhance student learning through
    the creation of a knowledge-centered learning
    environment

4
Creating a Knowledge-Centered Learning Environment
  • Start with what the student knows or believes to
    be correct
  • Create (possibly multiple) contexts for the
    students to organize knowledge
  • Refine their base of knowledge through an
    iterative problem solving process
  • Refer to these contexts when lecturing for the
    placement of newly acquired information

5
Learning Outcomes
  • Conceptualization of past and future information
    acquired about stochastic processes (i.e. What is
    the difference between continuous and discrete
    time processes?, What does the Markov Property
    really mean?)
  • Promotion of knowledge-transfer from the
    classroom to real-world problem solving

6
Undergraduate Modules
  • Students presented with a non-trivial
    real-world application of stochastic processes
  • Problem is solved in teams through an iterative
    model building, testing, parmeterizing, and
    analyzing process
  • Each modules spans 3-4 weeks time
  • Modules may replace tests as a student assessment
    tool.

7
Industrial Partners
  • Fort Bliss Federal Credit Union
  • Sandia National Labs
  • Celestica
  • B. Weaver Apiaries

8
K-12 Modules
  • Initial Problem and Solution Presented
  • Students Challenged with Solving an Extension to
    the Problem
  • H.S. teachers trained in the use of the modules
    through workshops

9
Module Evaluations
  • Modules reviewed by peer-educators, students, and
    professional evaluators
  • Initial findings suggest that the modules do
    promote learning and knowledge transfer, yet are
    a bit challenging to the students
  • Future modules will be shorter in length, less
    open-ended in solution, and available via
    web-streaming

10
Questions ??
  • Project Website http//engr.nmsu.edu/csm/nsf-proj
    ect
  • E-mail Address tmatis_at_nmsu.edu
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