Transcript Lecture 2a

The Interactive Lecture
1
ADDRESSING DIFFERENT LEARNING STYLES
BA 9200 Course Overview
2
Teaching
Philosophy
Students Abilities
Course Level
and Scope
Desired Learning Levels
Write Course and Topic
Objectives
How Students
Learn
Select Effective Teaching
Methods
The Lecture
Testing and Grading
Active Learning
Learning Objectives
3
After this session, you should be able to:
1. Explain the four dimensions of MBTI in your own words.
2. Link personality types and learning preferences.
3. Design an Interactive Lecture that incorporates various learning
preferences among students.
4. Create a concept map and an opening application.
Four Dimensions Underlying MBTI
4
Dimension
Energy
Option 1
Extravert
“Learn by
Speaking”
Option 2
Introvert
“Learning by
Thinking”
Four Dimensions Underlying MBTI
5
Dimension
Option 1
Option 2
Energy
Perception
/ Data
Collection
Sensing
“Why Before
What”
Intuitive
“See the Big
Picture”
Four Dimensions Underlying MBTI
6
Dimension
Option 1
Option 2
Thinking
“Show Me the
Objectives ”
Feeling
“Group Time”
Energy
Data
Collect
Decision
Making
Four Dimensions Underlying MBTI
7
Dimension
Option 1
Option 2
Energy
Perception
/ Data
Decisions
Preference
Judger
“Set Deadlines”
Perceptor
“Procrastinator’s
Club”
Faculty and UG Business Student
Comparisons
8
UG Business
Business Faculty
Population
80%
70%
60%
50%
40%
30%
20%
10%
0%
Extravert
Sensing
Thinking
Judging
Breakdown of 16 Styles for
Undergraudates
9
ST
SF
NF
NT
IJ
2
IP
4
Relatively Rare
Combinations
EP
Most Likely
EJ
1
3
The Lecture Outline
10
Introduction
Sensing
(Why before What)
Opening Application
Lecture Outline
Thinking
State Objectives
Body
Extravert
25 minute rule
TAPPS
Summary
Introvert
2 minute paper
Concept map
The Introduction
11
Straight
Lecture
Introduction
Body
Summary
Interactive
Lecture
Them What You
Create Interest Plus
Are Going To Tell Share Expectations
Them
Plus Tell Them
Application-Opening (Hook)
for Probability
12
Male
Female
Total
Promoted
80
40
120
Not
Promoted
30
50
80
Total
110
90
200
Is there Gender Discrimination in promotions ?
Application-Opening (Hook) for
Lecture on Cognitive Biases
13
 From 1998 – 2001, in which year did the least plane crashes occur?
The least deaths in such crashes?
 Who Will Invest More? A Person Who Makes $50,000 or One Who
Makes $40,000 Plus a $10,000 Bonus?
 The Size of the State of Georgia Demo.
The Body
14
Straight
Lecture
Interactive
Lecture
Introduction
Them What You Are
Going To Tell Them
Create Interest Plus
Share Expectations
Plus Tell Them
Body
Tell them
Plus have them
tell each other
Summary
The Lecture Outline
15
Introduction
Sensing
(Why before What)
Opening Application
Lecture Outline
Thinking
State Objectives
Body
Extravert
25 minute rule
TAPPS
Summary
Introvert
2 minute paper
Concept map
Extraverted Students and the
25-Minute Rule
16
 Maximize Student-to-Student Interaction.

Student Talk-Time.
 Use Structured Small Group Exercises.


Avoid “Free Rider” and “Rich Get Richer Effects.”
Example: Thinking Aloud Paired Problem Solving (TAPPS)
Thinking Aloud Paired Problem Solving
(TAPPS)
17
 Uses Explainer and Listener (Polite Questioner).
 Quiet Phase, Interaction, Teacher Closure.
 Explainer Explains Concept or Exercise.
 Listener Seeks Clarification, Disagrees, or Gives Hints.
 Teacher Manages Learning Exercise.
The Summary
18
Straight
Lecture
Introduction Them What You
Are Going To Tell
Them
Interactive
Lecture
Create Interest Plus
Share Expectations
Plus Tell Them
Body
Tell them
Plus have them tell
each other
Summary
Tell them you
told them
Have them
uncover key
ideas
The Lecture Outline
19
Introduction
Sensing
(Why before What)
Opening Application
Lecture Outline
Thinking
State Objectives
Body
Extravert
25 minute rule
TAPPS
Summary
Introvert
2 minute paper
Concept map
Introverted Students and Concept Maps
20
What the teacher does:

Distribute a list of “Nodes” that describe topic.

Have students build a map using those Nodes plus any additional Nodes
they may wish to include.
Knowledge Nodes in Data Mining
21
 Data Cleaning
 Sample Time Frame
 Data Visualization
 Binary Dependent
 Outcome Period
 Validation Sample
 Discriminant Analysis
 KS Test
 Neural Networks
 Initial Client Meeting
 Classification Trees
 Monitoring Reports
 Social Network Analysis
 Logistic Regression
 Market Basket Analysis
Concept Map by a Student
22
Introverted Students and the
2-Minute Paper
24
 Most Important Idea?
 Major Confusion?
 Relate to Previous Material?
 Value to Me (Student)?
 Develop a Prototype Question.
 How Am I (Teacher) Doing?
Additional Readings
25
 Brightman, H. and R. Hightower. “Improving Teaching in
the EMBA Classroom: Some Empirical Findings”.
Organizational Behavior Teaching Review, 14(1), pg. 115-130,
1989.
 Brightman, H. “GSU Master Teacher Program – On Learning
Styles”.
 Myers, I. and M. McCaulley. Manual: A Guide to the
Development and Use of the Myers-Briggs Type Indicator.
Consulting Psychologists Press, Palo Alto, CA. 1985.
BA 9200 Course Overview
26
Teaching
Philosophy
Students Abilities
Course Level
and Scope
Desired Learning Levels
Write Course and Topic
Objectives
How Students
Learn
Select Effective Teaching
Methods
The Lecture
Testing and Grading
Active Learning