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PBL: YEAR ONE ANALYSIS—INTERPRETATION AND VALIDATION
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PBL: YEAR ONE ANALYSIS—INTERPRETATION AND VALIDATION
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Citations: 4
)
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Jackie O'KELLY
,
J Paul GIBSON
We report on the parallel introduction of PBL to years one (CS1) and two (CS2) of an undergraduate computer science degree programme, with the aim of showing the important role of subjective validation of the way in which any data collected is analysed and interpreted. PBL has not been as widely accepted in
computer science education
as one would expect, or wish. This may be due to the scepticism of many CS educators with respect to the way in which claims for the effectiveness of PBL are presented. We will focus on addressing this problem by showing that there is an important role for subjective reasoning in the validation of any (objective) analysis. The key is that it is not possible to carry out perfect scientific experimentation and consequently data gathered can often be interpreted in many different ways. We argue that such interpretation is particularly important when first introducing PBL—where one is restricted by the amount and type of data that can be analysed—and that validation against more subjective criteria is necessary. The report compares two very different approaches to data and analysis: which we will call structured and ad-hoc. The structured approach—where the
data collection
and analysis was well-informed by standard practice in PBL — was used in the introduction of PBL to year 1 students (CS1). The ad-hoc approach — where analysis was primarily subjective based on the experience of the lecturer — was used in year 2 (CS2). Our comparison is fair in the sense that both CS1 and CS2 are concerned with teaching computer programming, and that the students are taken from the same environment. We conclude that both approaches require a complementary mix of objective and subjective analysis. There is little advantage to be gained, in the short term, from the more structured approach. However, an ad-hoc approach will not scale to reasonable analysis over a number of years of PBL teaching.
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Citation Context
(2)
...In order to address this, we implemented a Hybrid Problem-based Learning approach to the CS1 module in the academic year 2003-04: the implementation of this work is reported by O’Kelly[12], with analysis reported by O’Kelly and Gibson[
13
]...
Jackie O'kelly
,
et al.
RoboCode & problem-based learning: a non-prescriptive approach to ...
...In a separate report we analyse the problems in validating such claims[
26
]...
J. Paul Gibson
,
et al.
Software engineering as a model of understanding for learning and prob...
References
(7)
The power of problem-based learning
(
Citations: 102
)
B. Duch
,
S. Gron
,
D. Allen
Published in 2001.
Thought and Knowledge: An Introduction to Critical Thinking
(
Citations: 65
)
Df Halpern
Published in 1993.
An Overview of the Integration of Problem Based Learning into an existing Computer Science Programming Module
(
Citations: 9
)
J. O'Kelly
,
A. Mooney
,
J. Ghent
,
P. Gaughran
,
S. Dunne
,
S. Bergin
Initial findings on the impact of an alternative approach to Problem Based Learning in Computer Science
(
Citations: 8
)
J. O' Kelly
,
S. Bergin
,
S. Dunne
,
P. Gaughran
,
J. Ghent
,
A. Mooney
Published in 2004.
Learning and Teaching Programming: A Review and Discussion
(
Citations: 126
)
Anthony Robins
,
Janet Rountree
,
Nathan Rountree
Journal:
Computer Science Education
, vol. 13, no. 2, pp. 137-172, 2003
Order by:
Citations
(4)
RoboCode & problem-based learning: a non-prescriptive approach to teaching programming
(
Citations: 14
)
Jackie O'kelly
,
J. Paul Gibson
Conference:
Annual Joint Conference Integrating Technology into Computer Science Education - ITiCSE
, pp. 217-221, 2006
Software engineering as a model of understanding for learning and problem solving
(
Citations: 11
)
J. Paul Gibson
,
Jackie O'Kelly
Conference:
International Computing Education Research Workshop - ICER
, pp. 87-97, 2005
5. DESIGNING A HYBRID PROBLEM-BASED LEARNING (PBL) COURSE: A CASE STUDY OF FIRST YEAR COMPUTER SCIENCE IN NUI, MAYNOOTH
(
Citations: 2
)
Jackie O'Kelly
Enhancing Skills Transfer through Problem-based Learning
(
Citations: 1
)
Jackie O'Kelly
,
Rosemary Monahan
,
J. Paul Gibson
,
Stephen Brown