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8/8/2019 Understanding The Case Method
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UNDERSTANDING THE
CASE METHOD
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Effectiveness of Case Teaching
Classification of Case Methods
Characteristics of Cases Educational Objectives of Cases
Roles of Participants in Cases
Data Dimensions of Cases
Analytical Methods for Cases
Value Dimensions of Cases
Tabular Summary
CONTENTS OF THE PRESENTATION
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Case teaching is more effective than lecture
teaching with regard to attaining cognitive as well
as motivational aims in the classroom.
Franz Bocker
EFFECTIVENESS OF CASE TEACHING
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Case studies bring problems and approaches from
managerial world to the classroom.
Cases provide tools that allow students to simulate
managing a company.
Due to their inductive nature, Case methods enable
students acquire cognitive skills and managerial
abilities more comprehensively than through lecture
teaching.
EFFECTIVENESS OF CASE TEACHING
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Research Study by Franz Bocker
Hypothesis 1 : Case teaching develops the ability to
reproduce knowledge and learned skills better than lecture
teaching.
Hypothesis 2: Case teaching develops the ability to apply
knowledge and learned skills better than lecture teaching.
Hypothesis 3 : Case teaching motivates students to learn
managerial information more than lecture teaching does.
EFFECTIVENESS OF CASE TEACHING
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Research Study by Franz Bocker
Outcome :
Case motivates students to learn, thus yields better
results. However, case teaching requires teacher to spend
more time preparing the course, and it requires more
time for students to get through a specific topic. Thus,
the question of teaching efficiency (i.e. result/output) is
still open.
EFFECTIVENESS OF CASE TEACHING
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Deductive Teaching Process Cases are used to demonstrate
real-world practices and to liven up the teaching.
Inductive Teaching Process Cases can be used as the
foundation of an integrated inductively driven teaching
process.
CLASSIFICATION OF CASE METHODS
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CLASSIFICATION OF CASE METHODS
Deductive Case Method Inductive Case Method
* Teacher starts with ageneral rule and derivesspecific recommendationsfrom the cases.
Students are asked todevelop general rules ofproblem solving fromspecific experiences.
* Student is a passiverecipient.
Student is an activerecipient.
* Lecturers can follow logicalstructure of the studymaterial.
Course material needs to beclustered and aggregated ina way that facilitatesinductive learning.
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CLASSIFICATION OF CASE METHODS
Deductive Case Method Inductive Case Method
* One problem can be treatedmore or less exhaustivelybefore another problem isattacked.
All problems withindiscussion are dealt with inparallel due to closeinterdependencies.
* The onus of driving theteaching lies primarily on the
shoulders of the professor.
Student and professor sharethe responsibility for driving
the inductive process: theymust interactively gauge theongoing flow of content andprocess.
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CHARACTERISTICS OF CASES
Cases can be characterized by :
The amount and nature of the facts presented.
Type of pedagogy they facilitate: student-involvement or supplementary to Lecture.
The signals they convey about appropriate
analytical methods or techniques.
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CHARACTERISTICS OF CASES
Cases can be characterized by :
The value systems under which the case problemor issue may be resolved.
Cases can also be particularized by course topic,level of problem focus, and a host of other
elements, including whether they deal with largeor small business, local or international markets,etc.
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EDUCATIONAL OBJECTIVES OF CASES
Category Educational Objective Case Description
Vi Acquire skills in
synthesis of actionplans
Problem with clear
emphasis on action
VII Develop usefulattitudes
V, VI, VII with emphasison key executives
VIII Develop maturejudgments, wisdom
Complex, realisticunstructured problem
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ROLE OF PARTICIPANTS IN CASES
Case Writer
Decide level of abstraction of facts
Provide scope for analysis.
Give space for value judgment.
Avoid explicitly introducing narrow profit-oriented value system
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There are two major faces of data dimensions
of cases :
1. Amount of data included (in tables, caseparagraphs, etc.)
2. Clustering / Aggregation of the data to signal
inherent message
DATA DIMENSIONS OF CASES
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In the early stages, facts are conveniently
clustered to help the student understand the
exact message the writer sends.
At advanced levels, less structured, disperseddata and facts are included to make student
asses the possibility of alternate analytical
techniques and value systems.
Sometimes case may deliberately containirrelevant data to judge the students ability to
identify important facts from a welter of stimuli
competing for attention.
DATA DIMENSIONS OF CASES
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In early stages, an appropriate case should be at
the level of worked-out example, in which all the
facts are fitted neatly into place.
As the class becomes more and more skilled in
technique, case should become less and less
organized.
ANALYTICAL METHODS FOR CASES
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At advanced levels, students should be expected
to try out number of analytical techniques to see
which one best makes sense of case data.
At the extreme levels entire onus of learning
shifts to the student as Wisdom Cant Be
Told. Gragg
ANALYTICAL METHODS FOR CASES
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In the basic levels, objective functions and value
judgments can be explicitly stated and could be
as plain as efficiency(cost minimization) orprofitability(profit maximization).
As soon as class is ready to acquire skills, the
choice of objective function should be as open as
the choice of analytical method.
VALUE DIMENSIONS OF CASES
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As the class evolves, the cases should move
towards intractable business problems where
two or more value systems are in conflict.
Example: A case can introduce a profit oriented
value system against externalities such as
pollution control and energy conservation.
VALUE DIMENSIONS OF CASES
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Category
EducationalObjective
CaseDescription
DataDimension
AnalyticalMethods
ValueDimensions
I & II Developconcepts
Exposition ofproblem inBusiness
Facts clusteredto highlightcause-effectrelationship
Worked-outexample
Objectivefunctionsmade explicit
III Understandtechniques
IV Acquireskills in useof technique
Short,realistic,structuredProblem
Facts selectedfor relevance,not clustered
Method justsignaled
Valuesystemsclear(usuallyprofitoriented) but
objectivefunctionopen forchoice bystudent
TABULAR SUMMARY OF CASE CHARACTERISTICS
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Cate
gory
Educational
Objective
Case Description Data Dimension Analytical
Methods
Value
Dimensions
V Acquire skillsin analysis ofbusinessproblems
Complex,unstructuredslice of life
More facts areadded mainlywithin one valuesystem butamenable tomore than one
analyticalmethod
No clearsignals formethods,analyticaltechniqueopen to
studentschoice,includingmixed andsequentialanalysis
Valuesystemsclear(usually profitoriented)but
objectivefunctionopen forchoice bystudent
Vi Acquire skillsin synthesis of
action plans
Problem withclear emphasis
on action
VII Develop
usefulattitudes
V, VI, VII with
emphasis on keyexecutives
Facts related to
more than onevalue system,heavy use ofopinions of casecharacteristics
Choice of
valuesystemsleft open tostudent
VIII Developmaturejudgments,wisdom
Complex,realisticunstructuredproblem
No knownsatisfactorytechnique
TABULAR SUMMARY OF CASE CHARACTERISTICS
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THANK YOU!
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