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Technology Innovation Pedagogy

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Online Sys. Graphics. Graphics. Networks. Prog Lang ... Convenience of watching movies on laptop. Community service; received grant. Fun! April 4, 2003 ... – PowerPoint PPT presentation

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Title: Technology Innovation Pedagogy


1
Technology Innovation Pedagogy
  • Bill Moss
  • Roy Pargas
  • Larry Grimes
  • Barbara Weaver

2
Studio Calculus III and Differential Equations
  • Bill Moss
  • Department of Mathematical Sciences

3
Studio Calculus III Diff Eq
  • Visualization is a strand that runs through both
    courses.
  • Calculus III students build 3D solids by
    constructing their bounding surfaces, one surface
    at a time.
  • This course is more technicallyadvanced than the
    traditionalpencil and paper course.

4
Characteristics
  • Reduced lecture 10-15 mini-lectures
  • Course journal and Maple tutorials (TA graded)
  • Tutorials submitted via WebCT
  • Low-stakes quizzes, individual and team
  • Team projects (peer instruction)
  • Coaching by instructor
  • Practice exams

5
Maple Tutorials Include
  • Instructional Objectives with suggested problems
    for each objective
  • Main mathematical points with examples worked by
    hand and with Maple
  • Course journal homework assignments
  • Maple problems to be worked at the end of the
    tutorial
  • Click to see a tutorial

6
Pedagogy
  • Students take responsibility for learning.
  • Coaching enhances formative assessment.
  • Taking attendance and learning names is easy,
    e-mail absentees during studio time.
  • Frequent quizzes increase engagement.
  • Peer instruction is a goal ofteam projects.
  • Studio time mixes individualand cooperative
    learning.

7
Data Structures and Algorithms
  • Roy Pargas
  • Department of Computer Science

8
Data Structures and Algorithms
  • Third Computer Science course (required) for CS
    majors
  • Also required in other Science and Engineering
    curricula
  • Sophomore-level
  • Prerequisite for most junior- and senior-level CS
    courses

Architecture
More
Theory
Oper Sys
Online Sys
Graphics
Networks
Graphics
Compilers
Prog Lang
Data Structures And Algorithms
Comp Sci II
Comp Sci I
9
Data Structures and Algorithms
  • Data Structure Software Tool
  • For each structure, students
  • Learn behavior of data structure
  • Analyze structure complexity
  • Develop code implementing structure
  • Use code in application program
  • Data Structure Building Block
  • Student
  • Learn how to piece different structures together
    to work seamlessly in a single application

10
Data Structures and Algorithms
  • Data Structure Dynamic
  • Starts empty
  • Grows and shrinks as software application
    executes
  • Sample Java Applet Demonstration
  • Binary Search Tree

11
Course Organization (Fall 2003)
  • Lecture
  • 1 section, 100 students
  • Taught by one professor, 6 TAs
  • Meets 3 hrs/week
  • Labs
  • 1 lab, 100 students
  • Taught by same professor and TAs
  • Meets 2 hours/week lab
  • Coordination among professor and TAs planned in
    weekly meetings

Lecture Sessions
Lab Session
12
Lecture Organization (75 mins)
  • After one year of experimentation
  • Large studio model
  • 1 professor, 6 TAs (17 students/TA)
  • Format
  • 5-10 minute quiz/survey
  • 20-30 minute lecture
  • 30-40 minute structured laptop exercise
  • 5-10 minute quiz/survey

13
Sample Laptop Exercise
  • Student downloads exercise packet
  • Works Java applet describing structure
  • Binary Search Tree
  • Student activity guided by leading questions in
    packet
  • Student uploads responses to questions
  • Student responses automatically evaluated (as
    much as possible)

14
Lab Organization (110 mins)
  • Format
  • 5-10 minute quiz/survey
  • 15-30 minute lecture
  • Length depends on outcome of quiz/survey
  • 60-90 minute structured lab exercise
  • Development/Analysis/Testing of Programs

15
Conclusions
  • Distinction blurs between lecture and lab
  • Can use longer lab period for tests
  • Can use lecture period for smaller, more focused,
    lab exercises
  • More efficient use of resources
  • TAs can handle most (simple) questions from
    students
  • Professor called upon if question too difficult
    for TA to handle

16
Conclusions
  • Studio format works in Data Structures
  • Skills building course
  • Identifying candidate data structures
  • Evaluating candidate data structures
  • Selecting best data structure
  • Using data structure to develop application
  • Laptop and lab exercises hone student skills
  • Frequent individual coaching and frequent
    assessment identify potential problems early

17
Conclusions
  • Technology provides opportunities to experiment
    with new and better ways to educate students

18
Microsoft NetMeeting in the Classroom
  • Larry Grimes
  • Department of Experimental Statistics
  • Click Here

19
Written, Oral, and Digital Communication
  • Barbara Weaver
  • OTEI/CLE Laptop Faculty Training Program
  • and
  • Department of Communication Studies

20
Laptop Courses
  • English 101 Composition I
  • English 102 Composition II
  • English 209 Contemporary Literature
  • Communication Studies 250 Public Speaking

21
Contemporary Literature
  • Beat Generation Poets
  • Watched documentary
  • Formed teams
  • Selected poets
  • Researched
  • Internet and CU libraries
  • Biographical sketch and photo
  • Poetry

22
Arts in April
  • Class collaborated with Linda Dzuriss carillon
    students
  • Based title on Bob Dylans song All Along the
    Watch Tower and CUs Tillman Hall where carillon
    is located
  • Created program

23
All Along the Bell Tower
  • Created team multimedia presentations
  • Presented in class other teams critiqued
  • Class determined organizational pattern, slide
    design, and merged all into one

24
An Evening of Song and Poetry
  • Carillon students performed first
  • Literature students followed in amphitheater
  • Music between team presentations provided by
    students
  • Everyone wore Beat attire all black,
    sunglasses, beret, etc.
  • Served coffee and doughnut holes

25
The Benefits for Students
  • Led, created, and performed
  • Developed strong relationships with classmates
    and me
  • Experienced cross-discipline collaboration
  • Experienced public speaking
  • Served the community
  • Retained more information
  • Had fun!

26
Benefits for Me
  • Mentored/coached rather than lectured
  • Developed strong relationships with students
  • Collaborated with Linda Dzuris
  • Learned new information through students
    perspectives
  • Served the community received grant
  • Had fun!

27
Public Speaking
  • SC Botanical Garden Nature-Based Sculpture
    Program
  • Watched documentary
  • Toured garden
  • Formed teams
  • Selected elementary class

28
Research
  • Internet previous sculptures
  • Vita
  • Public lecture, wrote critique
  • Interviews/discussions with Yolanda
  • Helping Yolanda with installation

29
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34
Informative Speech to Elementary School Children
  • Analyzed audience
  • Planned hands-on project for children with
    Yolanda
  • Developed slides
  • Practiced in class
  • Traveled to schools

35
Their Performance
  • Recorded digitally (one team also filmed for next
    documentary)
  • Uploaded movie files to CU network
  • Watched movies on their laptops
  • Wrote self-critique

36
Benefits for Students
  • Varied research
  • Authentic audience students rise to the
    occasion say they learn more
  • Exposure to nature and art
  • Physical exercise
  • Opportunity to be in documentary
  • Community service
  • Convenience of watching movie on laptop
  • Fun!

37
Benefits for Me
  • Mini-lectures and mentoring/coaching
  • Exposure to nature and art
  • Physical exercise
  • Interesting, better speeches to grade students
    rise to the occasion
  • Convenience of watching movies on laptop
  • Community service received grant
  • Fun!

38
Questions?
  • laptopfaculty.clemson.edu
  • www.math.clemson.edu/bmoss
  • www.clemson.edu/exst
  • www.cs.clemson.edu/pargas
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