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LEARNING

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LEARNING e-Learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning-ch1&2 Clark, R. C. & Mayer, R. E. (2002) – PowerPoint PPT presentation

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Title: LEARNING


1
LEARNING
  • e-Learning and the science of instruction Proven
    guidelines for consumers and designers of
    multimedia learning-ch12
  • Clark, R. C. Mayer, R. E. (2002)

Advisor Ming-Puu Chen Reporter Chia-Yen Feng
2
Chapter 1e-Learning promise pitfalls
3
Outline
  • Definition of e-Learning
  • A description of different types of e-Learning
  • Potential benefits and drawbacks to e-Learning

4
What is e-Learning?
  • What
  • Includes content (information)
  • Uses instructional methods (techniques)
  • How
  • Uses media elements
  • Why
  • Builds new knowledge and skills

e - Learning
5
e-Learning development process
  • Performance analysis
  • Help meet important organizational goals by
    filling a gap in knowledge and skills
  • e-learning is the best delivery solution
  • Defining e-Learning content
  • Job or content analysis
  • Content types
  • Fact, concept, process, procedures, principles
  • Design
  • Create a course blueprint
  • Development
  • Testing implementation
  • Defining the instructional methods media
    elements
  • How delivery platforms influence instructional
    methods and media elements

6
Five types of content in e-Learning
  • Fact
  • Specific and unique data or instance
  • Concept
  • A category that includes multiple examples
  • Process
  • A flow of events or activities
  • Procedure
  • Take performed with step-by-step actions
  • Principle
  • Task perform by adopting guidelines

7
e-Learning goals
  • Inform programs
  • Build awareness or provides information
  • Perform programs
  • Build specific skills
  • Two types
  • Procedural (near transfer,?????)
  • Principle-based (far transfer,?????)

8
Is e-Learning better? Media comparison research
  • The hundreds of media comparison studies have
    shown no difference in learning
  • All the media comparison research is that its
    not the medium ? the instructional methods that
    cause learning
  • Each medium offers unique opportunities to
    deliver instructional method ? effectively
    support human learning

9
What make e-Learning unique?
  • Practice with feedback
  • Responds with hints or feedback supporting
    immediate correction or errors
  • Collaboration in self-study
  • There is a growing research base on the benefits
    of learning together versus solo
  • Use of simulation to accelerate expertise

10
e-Learning the pitfalls
  • Failure to base e-Learning on job analysis
  • Lessons do not build knowledge and skills that
    transfer to the job
  • Failure to accommodate human learning processes(
    human learning limits and strengths)
  • Lesson overload cognitive process and learning is
    disrupted
  • E-learning dropout
  • Learner do not complete their instruction

11
What is good e-Courseware
  • Training goals
  • Inform student, perform procedure, perform
    principle
  • Learner difference (the prior knowledge)
  • Instructional methods appropriate to the
    learners characteristics( e.g learning styles,
    prior knowledge)
  • Training environment
  • Technical constraint
  • Cultural factors
  • Pragmatic constraint (e.g. budge, time,
    management expectations)

12
Three types of e-Learning
  • Receptive information acquisition
  • Receptive instruction (show-and-tell)
  • Include lots of information with limited practice
    opportunities
  • Designed for inform goals
  • Directive response strengthening
  • Directive instruction (show-and -do)
  • Require frequent responses from learners with
    immediate feedback
  • Drill and practice
  • Designed for perform-procedure goals
  • Guided discovery knowledge construction
  • Provide job-realistic problems and supporting
    resources
  • Designed for perform-principle goals

13
Chapter2 how people learn from e-Course
14
Outline
  • How do people learn
  • How e-Lessons affect human learning
  • What is good research

15
How do people learn?(1/3)
  • Two channelsvisual auditory
  • Limited capacity for processing information
  • Learning occurs by active processing in memory
    information
  • New knowledge and skills ? retrieved form LTM
  • ?transfer to job

16
How do people learn?(2/3)
  • The center of cognition since all active thinking
    take places there
  • A limited of capacity memory

17
How do people learn?(3/3)
  • Encoding
  • Rehearsal
  • retrieval

18
How e-lessons affect human learning (1/2)
  • Selection of the importance information in the
    lesson
  • Management of the limited capacity in working
    memory to allow the rehearsal needed for learning
  • Coherence principle (ch7)
  • Methods for integration
  • Contiguity principle (ch4)

19
How e-lessons affect human learning (2/2)
  • Methods for retrieval and transfer
  • Methods for metacognitive monitoring
  • Management of all of these process via
    metacognitive skills
  • Self-check to asses oneself skill acquisition

20
Summary of learning processes
  • Focus on key graphics and words in the lesson to
    select what will be processed
  • Rehearse information in working memory to
    organize and integrate it with existing knowledge
    in LTM? apply cognitive load reduction tecniques
  • New knowledge stored in LTM must be retrieved
    back on the job?transfer of learning
  • Metacognitive skills manage and adjust these
    processes

21
What is good research?
  • Informal studies (observational studies)
  • Conclusion bases on feedback from and
    observations of students
  • Controlled studies (experimental studies)
  • Conclusion bases on outcome comparison of
    randomly assigned participants to groups with
    different treatments
  • Clinical trials (controlled field testing)
  • Conclusion bases on outcome of lessons taken in
    actual learning settings

22
How can you identify relevant research
  • How similar are the learners in the research
    study to your learner?
  • Are the conclusions based on an experimental
    research design?
  • Are the experimental results replicated?
  • Is learning measured by tests that measure
    application?
  • Does the data analysis reflect statistical
    significance as well as practical significance?

23
Interpretation of research statistics
  • Means
  • Standard deviation
  • High averages and low SD
  • Probability
  • Effect size
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