pedagogical module cs5034homepage.cem.itesm.mx/juresti/its/diapositivas/tema... · based on: the...
TRANSCRIPT
Curriculum and Instruction
Pedagogical Module
Cs5034
Material preparado por: Dr. Jorge Adolfo Ramírez Uresti
2
Traditional ITS Architecture
Expert module
Student model
Pedagogical module
Userinterface
Student
Revisión 200811
Pedagogical Module
3
Usually associated with a tutoring type of interaction
Other types include: Coach instruction
Group instruction
Learning by teaching
Learning by example
Apprenticeship
Revisión 200811
Tutoring
4
Characteristics:
Exercise control over curriculum – selection and sequencing of material.
Must be able to respond to student’s questions about subject
Must be able to determine when students need help and whatsort of help
Revisión 200811
Central Issues in Tutoring
5
The nature of learning Most approaches assume student do not know anything
about the domain.
Not always true! Students possess wrong skills
Too much knowledge
Tutor must: Eliminate inappropriate knowledge and
Transmit new correct knowledge
Revisión 200811
Central Issues in Tutoring ...
6
The nature of teaching
Unwritten assumption that instruction should be designed
to take best advantage of mechanisms of individual learning.
However, human learn also by cooperation.
Instruction must be seen as a process of communication.
Revisión 200811
Central Issues in Tutoring ...
7
The nature of the subject matter Expository tutors
Factual knowledge and inferential skills.
Students make inferences knowledge.
Problems: maintaining focus and coherence and covering the subject matter in an order
Procedure tutors
Skills and procedures that have application outside the tutorial situation –problems and examples.
More like coaches.
Problems: ordering sub skills of a target skill and, selecting examples and exercises.
Revisión 200811
Curriculum
8
Problem of curriculum can be broken into two problems:
Formulating a representation of the material
Selecting and sequencing particular concepts
Revisión 200811
Selection and Sequencing
9
Topic selection in expository tutors
Two sources of constraints:
1. Topics must be selected to maintain coherence and to convey
the structure of material
2. Selection of a topic for discussion must reflect previous student’s
reaction
Revisión 200811
Selection and Sequencing ...
10
Topic selection in expository tutors...
Solution to constraint 1: Web teaching.
Curricula should conform to the following principles to guide selection of materials:
Relatedness: Give priority to concepts that are closely related to existing knowledge.
Generality: discuss generalities before specifics.
Static framework for curricula
Does not address mechanisms used to formulate and reformulate curricula within a dynamic context.
Revisión 200811
Selection and Sequencing ...
11
Exercise and example selection in procedure tutors
For procedural skills
Standards for the selection:
Manageability: exercises must be solvable and examples must be comprehensible.
Gagné and Briggs method:
Analyse skills into a prerequisite hierarchy of instructional objectives.
Highest level = primary objectives, descendants = prerequisites.
Curriculum should devote a single lesson to each instructional objective.
Matching principle: presentation of both positive and negative instances of the concept to be taught.
Revisión 200811
Selection and Sequencing ...
12
Exercise and example selection ...
Standards for the selection:
Structural transparency: sequence of exercises and examples should reflect structure of procedure being taught and should help students induce the target procedure.
Theories must have two components:
Specify how to derive a sequence of exercises and examples
Explain how a student can interpret the sequence in order to learn something about the procedure
Example: Step theory
Curriculum divided into discrete lessons, each adding a single decision point or step in the procedure to be learned
Examples and exercises in each lesson can use only the step to be learned or previously seen.
Revisión 200811
Selection and Sequencing ...
13
Exercise and example selection ...
Standards for the selection:
Individualization: exercises and examples should be chosen to fit the
pattern of skills and weaknesses that characterize the student.
Manageable with skills already possessed
Easily related to skills already possessed
Revisión 200811
14
Skills Network
30
Print String Literal and
String Variable
68
Print Element of
Numeric Array
28
Print String Literal and
Numeric Variable
04
Print String Variable
02
Print String Literal
03
Print Numeric Variable
A - Analogous to
H - Harder than
S - Same difficulty
P - Prerequisite to
H
P
H
PAH
AP
H
AS
H
P
P
A S
Revisión 200811
15
Student Profile
Skill State
. .
02 Learned
03 Easy
04 Learned
. .
. .
. .
28 Trouble
. .
30 Marginal
. .
. .
. .
68 Unseen
. .
. .
Exercise Library
Exercise Required Skills
. .
. .
. .
17 02,03,13,55
. .
. .
. .
47 02,04,13,14,52,55,62,80
. .
. .
. .
Revisión 200811
Instruction
16
Methods to deliver a curriculum
Initial presentation of material
Way of responding to students’ questions
Condition and content of tutorial intervention
Revisión 200811
Instruction – Presentation Methods
17
Depend on subject matter and instructional objectives
Expository tutoring -> dialogue
Procedural tutoring -> examples and coached exercises to
develop skills
Revisión 200811
Instruction – Presentation Methods
18
Dialogue
Dialogues
Need to be planned to address instructional objectives
Must be sensitive to evolving tutorial context
Type of objectives for conducting tutorial dialogues:
Teaching of facts and concepts
Teaching of rules and functional relations
Teaching of skills for deriving these rules
Revisión 200811
Instruction – Presentation Methods ..
19
Dialogue ... Teaching facts and concepts
Asking for or explaining the material
Based on:
The importance of the material
The student’s knowledge
Teaching of rules Involves inducing student to consider relevant data to formulate rule.
Presenting case data that makes rule clear
Entrapment strategies that enable student to eliminate incorrect versions of the rule.
Revisión 200811
Instruction – Presentation Methods..
20
Dialogue ...
Skills for deriving rules
Taught as procedures broken down into
Components
Exercises and examples that address each sub skill
Revisión 200811
21
Tutorial dialogue Strategies for Different Instructional Objectives
Instructional Objective Strategies
Teach facts and concepts Elicit fact or concept
Explain fact or concept Teach rules and relations
Case selection strategies
Entrapment
Teach induction skills Exercises and examples
oriented to subskills.
Revisión 200811
Instruction – Presentation Methods..
22
Instructional Modelling
Useful for introducing students to procedures they must
learn
Use worked examples or guided practice
Have a formulation and presentation of procedures for working the
examples
Be based on representation needed to acquire target skills
Presented in a manner that shows how each step applies
Revisión 200811
Instruction – Presentation Methods..
23
Instructional Modelling ...
Vehicles to explain procedures
Language
LECOBA
Displays (images) showing concepts
Subtraction
Diagrams of relations
PATSY
Geometric objects
Revisión 200811
Instruction – Answering Questions
24
Essential function of human tutors
Major difficulties: Natural language comprehension and generation
Options:
Menus
Template-matching strategy
Predefined text
Domain knowledge Model of domain
Step by step explanations
Revisión 200811
Instruction – Tutorial Intervention
25
Break student’s ongoing learning activity
Objectives: Speed the course of instruction
Maintain control of tutorial situation
Protect student from exploring paths that are not instructionally useful – are errors useful?
Problems: When to intervene
Formulate the content of intervention
Revisión 200811
Instruction – Tutorial Intervention ...
26
Conditions for intervention
Two major approaches:
Model tracing: intervention whenever the student strays from a
known solution path.
Issue-based tutoring: intervention only when the tutor can make a
positive identification of a particular occasion for intervention
Revisión 200811
Instruction – Tutorial Intervention ...
27
Conditions for intervention... Issue-based better than Model tracing
Does not restrict its intervention to remedial instruction.
Good performance and bad performance are good moments for intervention.
Can be more informative in the content as they “speak” the issue that caused the intervention.
Model tracing will intervene even when the student finds a better approach than the expert module – Issue based remain silent.
Revisión 200811
Instruction – Tutorial Intervention ...
28
Intervention examples:
Never intervene on the first moves so students can
concentrate on the mechanics of problem/game.
Do not offer advice if a player is doomed to lose no matter
what.
Congratulate players on exceptionally good moves.
Wait until the student has committed a certain number of
errors before intervening.
Revisión 200811
Instruction – Tutorial Intervention ...
29
The content of intervention
Correcting the problem that caused the intervention is NEVER used.
Informing low-level actions to recover from a bad situation would waste the opportunity for the tutor to teach students about the situation.
Provide advice at the next higher level of abstraction
Require students to apply this advice to their own concrete situation.
Adapt intervention to the student’s level of sophistication in the task
Neophyte vs. almost expert.
Revisión 200811
LECOBA
30 Revisión 200811
LECOBA ...
31
Teaching / Lecturing
Curriculum divided into levels
Each level has a file divided into paragraphs.
Paragraph every time student presses “OK”
Revisión 200811
LECOBA ...
32
Examples
Presented after lecturing
Similar to teaching: series of paragraphs describing the current
example
At least one example per level
Maximum of 3 examples per level
Selection of examples based on SM
Revisión 200811
LECOBA ...
33
Problems
Tutor selects a problem for the student and the LC to solve
TOGETHER
Student always decides who solves the problem: herself or the
LC
Revisión 200811
LECOBA ...
34
Selection of problem: Use of SM and Mastery Criterion (MC = 0.70) IF PV of a rule >= MC THEN rule learnt
Boolean expressions for problems and examples ordered into 5 proficiency grades.
Average of all taught rules whose PV < MC. Expression selected is the one which if solved correctly will need the use
of all or most of those rules.
An already selected expression can be selected again but not two consecutive times.
Revisión 200811
LECOBA ...
35
Observing
Tutor “disappears” after student has decided who will solve
the problem
Task to monitor progress.
Unobtrusive tutor
Attention of student must focus on the interaction with the LC.
Tutor is controlling the LC’s actions.
Revisión 200811
LECOBA ...
36
Comments Tutor gives feedback to students.
Tutor comments on their performance: Good work!
Comparison of students’ work with tutor’s resolution.
Tutor decides next activity
Advance a level
Solve another problem
Study another example
Study the current lesson again
Revisión 200811
37 Revisión 200811
Tutor’s control of LC
38
LC implemented using simulation techniques = not
actually learning
Revisión 200811
Tutor’s control of LC ...
39
Control of LC done in 2 forms:1. Selection of LC’s expertise
Initial LC set before student starts firsts interaction.
LC mimics the student’s expertise
Knowledge depends on how much student knows.
Weak LC:
Calculate difference between PVs in current SM and PVs in previous SM.
Place rules in one of following lists: Worse, Equal or Better.
Order rules in ascending order.
Equal -= 0.05, Better -= 0.10, Worse no change
InUse = [Worse,Equal,Better]
Different order and less knowledge
Revisión 200811
Tutor’s control of LC ...
40
Control of LC done in 2 forms:1. Selection of LC’s expertise ...
Strong LC:
InUse list of SM is used.
One of the following changes is made:
Student not using all rules taught -> add best rule to use.
Not using restriction of Basic Laws -> add best
Not using correct order suggested by tutor -> order InUse until one more rule is in correct order
Else -> No change to InUse
All rules are added 0.10
Revisión 200811
Tutor’s control of LC ...
41
Control of LC ...
2. Control while collaborating to solve a problem
While the LC is to give a suggestion
Student worsening her performance
Rule decrements more than 50% from beginning of problem ->
suggest that rule
LC will say that “it has consulted the summary”
Revisión 200811
Tutor’s control of LC ...
42
Control of LC ...2. Control while collaborating...
LC working on the problem
Tutor controls LC’s next move if student is worsening
Rule decreases more than 50% -> control moves until PV rises to 25%.
LC will say “I have seen the summary”
Student giving a suggestion
Tutor orders a weak LC to accept a suggestion when student is beginning to learn a rule – weak LC may reject a correct suggestion
Revisión 200811