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Integrating Technology in the Problem Based Learning Classroom

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Title: Integrating Technology in the Problem Based Learning Classroom


1
Integrating Technology in the Problem Based
Learning Classroom
  • Samford University
  • Birmingham, Alabama, USA
  • Clara Gerhardt, MBA, PhD. School of Education
    and Professional Studies
  • Mary Sue Baldwin, D.Ed. Director of Assessment
    and the Center for Teaching, Learning
    Scholarship
  • Lisa McNeal, B.A., Director of the Learning
    Applications Group

2
Background
  • Samford University is a private, liberal arts
    university in Birmingham, Alabama, USA. We have
    250 full-time faculty (150 part-time).
  • Total student enrollment about 4,500.
  • This discussion is based on the experiences of
    eight years teaching in a problem-based format
    in a variety of disciplines across campus.
  • Samford faculty have used web based course
    management systems since 1999.
  • Use has grown steadily, mainly to supplement
    classroom-based courses.

3
From Leadership to Partnership
  • The classroom has traditionally provided a
    platform for the instructor to provide
    authoritative leadership.

4
Students Become Problem Solvers
  • With problem-based learning (PBL), this
    leadership is transformed into a partnership
    between students and facilitators (instructors).
  • The knowledge power base is shared - empowering
    the students.
  • This demands greater responsibility from students
    who have to become active problem solvers in the
    teaching/learning process.

5
What is problem based learning?
  • PBL is defined as an instructional method that
    enhances active learning and which can be
    utilized as a modular, course, program or
    curricular framework (1998).
  • The concept behind PBL comes chiefly from the
    constructivist theory of learning
  • (Savery Duffy, 1995 Schmidt, 1993 Hendry
    Murphy, 1995).
  • PBL approaches learning with the understanding
    that learning is contextual.
  • Real-world, complex problems stimulate learning
    via cognitive dissonance and collaboration.

6
Linking PBL and Technology
  • Considering the somewhat unstructured nature of
    problem based learning, technological support is
    crucial to provide continuity, order, and
    information accessibility in student and
    classroom management.
  • The right technological and pedagogical tools
    should enhance and supplement the learning, not
    be an end outcome in itself.

7
Methods Planning and Preparation
  • Planning is crucial.
  • What may seem to be a spontaneous student
    activity is in reality a carefully planned
    component of a structured learning plan, with a
    definite pedagogic goal in mind.

8
Planning Using Models
  • Use an instructional design model, such as the
    Dick Carey model, to set and measure learning
    goals.
  • The choice of model is not as important as the
    decision to carefully plan the activity.

9
Use Technology to Outline Expectations
  • After designing and developing the activity, it
    is recommended to post the objectives and
    outcomes on the course management system so that
    students know what is expected of them.
  • This need is heightened in the online
    environment, where non-verbal communication is
    not possible.
  • (Levin Ben-Jacob, 1998).

10
Interaction is Essential
  • The focus on group interaction in the problem
    based-learning model means that students must
    communicate with group members outside the
    classroom.
  • Instructors can incorporate activities using a
    discussion board or chat tools found in most
    course management systems.
  • This gives students opportunities to negotiate
    and collaborate.

11
Student Responsibility
  • Students are more likely to succeed in the online
    environment of a course management system if they
    are willing and ready to take ownership of their
    own learning.

12
Instructor Responsibility
  • The instructor should track the student activity
    in a variety of ways.
  • A rubric or guide can be developed to decide how
    participation points will be assigned and this
    information is shared with the students.
  • The instructor can use the ARCS Model of
    Motivational Design to incorporate motivational
    concepts into course design.

13
Summary
  • Integration of technology and problem-based
    learning (PBL) has the potential of freeing up
    the instructor (facilitator) to focus on student
    learning outcomes.
  • Using a web based course management system (such
    as Blackboard which incorporated WebCT),
    provides a continuous thread of information which
    is accessible to both students and facilitators.

14
Summary (continued)
  • Structure allows for adequate coverage of
    curriculum.
  • Provides a platform and guidelines for student
    communication outside the classroom.
  • Continuity of learning / teaching goals.
  • Provides transparency to the course.
  • Students can access Web site in their own time,
    and track progress.
  • This creates a sense of ownership and
    responsibility.

15
It Takes Time
  • Be prepared to spend more time.
  • Activities designed from a constructionist point
    of view may be harder to design and grade.

16
It Takes Time (continued)
  • Most faculty find that such activities are well
    worth their time because of the rewards, but be
    aware that more time may be involved.

17
Conclusion
  • Technology should facilitate and strengthen the
    pedagogic processes and should provide the frame
    or skeleton for the classroom process.

18
Conclusion (continued)
  • This structured component of the course imparts a
    sense of security, allows for good time
    management and economic use of limited classroom
    resources.

19
References
  • Albanese, M. A., Mitchell, S. (1993).
    Problem-based learning A review of the
    literature on its
  • outcomes and implementation issues. Academic
    Medicine, 68, 52-81.
  • Ausubel, D. P. (1963). The Psychology of
    Meaningful Verbal Learning. New York Grune and
  • Stratton.
  • Ausubel, D. P. (1968). Educational Psychology A
    Cognitive View. New York Holt, Rinehart
  • and Winston.
  • Ausubel, D. P., J. D. Novak, and H. Hanesian.
    (1978). Educational Psychology A Cognitive
  • View, 2nd ed. New York Holt, Rinehart and
    Winston. Reprinted, New York Warbel Peck, 1986
  • Blackboard Homepage. Retrieved January 5, 2007
    from http//www.blackboard.com/
  • Dick and Carey Model. Retrieved January 5, 2007
    from http//www.positivepractices.com/LearningbyDe
    sign/InstructionalDesignRecipe.htmlFigure1Dickand
    CareyModelo.
  • Driscoll, M. (2000). Psychology of Learning for
    Instruction, (2nd ed.) Needham Heights,
    Massachusetts Allyn Bacon, A Pearson Education
    Company.
  • Felder, R.M., Brent, R. (1996) Navigating the
    Bumpy Road to Student-centered Instruction.
    Retrieved January 5, 2007 from http//www.ncsu.edu
    /felder-public/Papers/Resist.html
  • Gustafson, K.L., Branch, R.M. (2002). Survey of
    Instructional Development Models (4th Edition).
    New York Syracuse University.

20
References
  • Hamada, T., Scott, K. (2000, September).
    Anthropology and international education via the
    internet A
  • collaborative learning model. Journal of
    Electronic Publishing, 6 (1).
  • Lave, J. (1991). Situated Learning in Communities
    of Practice. Perspectives on Socially Shared
    Cognition. Washington, DC, American Psychological
    Association. 63-82.
  • Levin, D.S, Ben-Jacob M. G. (1998). Using
    Collaboration in Support of Distance Learning.
    Presented at WebNet 98 World Conference of the
    WWW, Internet and Intranet Proceedings, Orlando,
    Florida.
  • Norman, G. R., Schmidt, H. G. (1992). The
    psychological basis of problem-based learning A
    review of the evidence. Academic Medicine, 67,
    557-565.
  • Smith, B. L MacGregor, J.T. (1992). What is
    Collaborative Learning? In M. Mahler, V. Tinto,
    B.L. Smith, and J. MacGregor (Eds.),
    Collaborative Learning A Sourcebook for Higher
    Education. University Park, PA National Center
    on Postsecondary Teaching.
  • Readiness Index for Learning Online. Retrieved
    January 5, 2007 from http//www.webct.com/oriente
    d/ViewContent?contentID1811174
  • Wikipedia. Retrieved January 5, 2007 from
    http//en.wikipedia.org/wiki/Main_Page
  • Novak, J. D. (1990). Concept maps and Vee
    diagrams Two metacognitive tools for science and
    mathematics education. Instructional Science, 19,
    29-52.
  • Select references also retrieved from
    http//www.samford.edu/groups/ctls
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