Transcript Reactive learning Objects for Distributed e

Reactive learning Objects for
Distributed e-Learning environments
Patrick Duval, Agathe Merceron, Michel Scholl
Computer Science Department
Engineering School Leonard de Vinci (ESILV-GI)
F-92916 Paris La Défense
patrick.duval,agathe.merceron,[email protected]
Outline
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Going away from the information transfer
approach.
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Reactive Learning Objects.
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Architecture model.
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Support for (pro)active learning and teaching.
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Towards a scenario for distributed e-learning
environment.
Going away from the information
transfer approach
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Many current e-learning solutions: make 'passive'
course material available on the web.
What is needed: engage students in activities.
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collaborative work.
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reactive learning objects.
Reactive learning objects: aims
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Encourage students activity, for example in
adopting a learning by doing approach.
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exercises.
Encourage tutors pro activity, for example in
offering them appropriate follow up tools.
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store the right data about learners.
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make appropriate analysis.
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display in a convenient way to tutors.
Reactive learning objects (cont.)
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Exercises should not be only 'poor' exercises.
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programming exercises should require learners to
write real code and have programs executed.
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SQL exercises should require learners to write real
queries and have them executed.
Exercises automatically corrected.
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need of a 'sophisticated' evaluator to check answers.
Integrated into a platform.
Architecture model
Students Interface
E-learning
Guided Tour
exercise-id
student-id
course description
status
exercise
description
Learning Object
DataBase
interface
evaluation log
student
response
response
evaluation
evaluation
logs
course & exercise
descriptions
Evaluation plug-in
Mining
tools
Authoring
tools
External services
evaluation
reports
Graphical
User
Interface
Enhanced Learning Objects
Tutors & Authors Interfaces
Implementation
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Currently two running objects:
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SQL course.
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introductory programming with Java course.
Support learners activities
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Exercises with immediate feedback.
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Automatic correction.
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learn at my pace.
try as many times as needed.
Store all answers, including mistakes.
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consult history, support for reflection.
Example: attempting a Java exercise
Support teachers/tutors (pro) activity
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Tools to follow learners' progress:
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what is done, not done, success, trials, failures.
Tools to follow exercises difficulties:
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easy / difficult exercises.
Example: following a student on one
chapter
First experiences and limits
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Size of the database (that store all answers
including mistakes, time).
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Single server for evaluator.
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No support for collaborative work.
Towards scenarios for distributed eLearning environments
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Learners:
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Teachers/tutors:
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quick access.
adaptative automated correction, taking style into
account for example.
Researchers:
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access numerous data for data mining.
Towards scenarios for distributed elearning environments
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Distribute storage.
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Distribute computing.
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notification, query, coherence.
at least 3 different possible policies.
Web services (whole course, evaluator).
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composition of various Web services (like string
matcher for the evaluator).
Other scenarios ? Your suggestions ?
Thank you.