LEARNING TO SOLVE MATHEMATICS PROBLEMS IN GROUP WORK SETTINGS Abstracts (Poster Presentations) (

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Abstracts (Poster Presentations)
LEARNING TO SOLVE MATHEMATICS
PROBLEMS IN GROUP WORK SETTINGS
Endah Retnowati (e.retno@uny.ac.id)
School of Education, University of New South Wales, Sydney NSW 2032, Australia
Department of Mathematics Education, Yogyakarta State University, Indonesia
KEYWORDS: group-work, mathematics, problem solving, cognitive load
ABSTRACT
The use of group-work settings at schools has recently become more popular compared to the individual settings. It might be
due to the assumption that students need to practice working in groups as various workplaces apparently require collaborative
skills. Mathematics is studied by most students worldwide. The study reported in this article aimed at testing if students could
learn solving mathematics better in group-work compared to in individual settings. Worked-example instructions to learn novel
arithmetic problems for seven graders, part-to-part and part-to-whole comparisons, were developed based on Cognitive Load
Theory. The investigation included whether the worked-example instruction provided a powerful tool for learning mathematics in
group-work settings compare to problem solving instruction. The results showed that students were benefited from learning in
group-work as much as those in individual setting. Moreover, students who were provided worked-example instructions
performed significantly better that those who learned solving problems without the worked-example.
Proceedings of the Australian Conference on Science and Mathematics Education, University of Melbourne, Sept 28th to Sept
30th, 2011, page 28, ISBN Number 978-0-9871834-0-8.
28
ACSME Proceedings 2011 | Teaching for Diversity – Challenges and Strategies
Learning to Solve Mathematics
Problems in Group Work Settings
Endah Retnowati
e.retno@uny.ac.id
Australian Conference on Science and Mathematics Education at University of Melbourne, 2011
Problem Solving
Arithmetic Problems for Year 7 Students
Mathematics is often learned by
solving mathematical problems.
A problem solving instruction
consists of problems designed for
students to learn mathematical
concepts, procedures, logic or
reasoning. Students need to search
or discover how to solve the
problem by themselves or in groups.
Part-to-part Ratio
We need 2 cups of flour to make 3 muffins. How many cups of flour needed to
make 10 muffins?
Part-to-whole Ratio
The ratio between the number of boys and girls in the 7th grade is 2 : 3. If the
total number of the students is 30, how many boys are in the 7th grade?
How many girls are in the 7th grade?
Worked Examples
Experimental Design
A worked example instructions
consists of pairs of worked example
and similar problems to practice
designed for students to learn
mathematical concepts, procedures,
logic or reasoning.
INDIVIDUAL
INDIVIDUAL
INDIVIDUAL
INDIVIDUAL
WORKED EXAMPLE
PROBLEM SOLVING
WORKED EXAMPLE
PROBLEM SOLVING
Learning Part B:
Part-to-whole
Ratio
Learning Part A:
Part-to-part Ratio
A Cognitive Load Theory has
developed principles to design
effective worked examples and
proved the effectiveness for learning
particularly novel (unfamiliar/new)
materials.
GROUP WORK
4 students)
GROUP WORK
(3-4 students)
GROUP WORK
(3-4 students)
WORKED EXAMPLE
PROBLEM SOLVING
(3-
WORKED EXAMPLE
GROUP WORK
4 students)
(3-
PROBLEM SOLVING
Results were analysed using Repeated Measures Analysis on SPSS
Research Question
Similar Test Performances
Group work
Could the worked example instruction
be effective for learning mathematics in
group work settings?
Individual
0,82
Transfer Test Performances
Group work
0,76
Individual
0,51
0,61
0,39
0,34
0,42
0,51
Cognitive Load Theory
Part-to-part
is an instructional design theory based
on human cognitive architecture.
Problem solving
UNSW
SYDNEY, AUSTRALIA
Part-to-whole
Ratio problems
Problem solving
Worked example
0,76
Worked example
0,54
0,82
0,48
0,64
0,35
0,38
0,38
Changes of knowledge is facilitated
when cognitive load is well-managed in
working memory. WM has limited
capacity when dealing with novel
information.
PHD CANDIDATE
SCHOOL OF EDUCATION
Part-to-part
Ratio problems
Learning is defined as changes of
knowledge in long term memory. LTM
stores unlimited knowledge that can be
retrieved to perceive new information.
Instructors should focus on intrinsic
cognitive load generated by the
learning
material
and
reduce
extraneous cognitive load from the
instructional design in order to facilitate
effective learning
Part-to-whole
Part-to-part
Part-to-part
Part-to-whole
Part-to-whole
Ratio problems
Ratio problems
Findings
☺Significant difference between the instructions where students who were provided
the worked example instruction performed better that those with the problem solving
instruction
☺Students in different settings did not show significant different in performances
SPONSORED BY
YOGYAKARTA STATE
UNIVERSITY
DEPARTMENT OF
MATHEMATICS EDUCATION
YOGYAKARTA, INDONESIA
Conclusion
The worked example instruction were more advantageous for students
either learning individually or in group work, compared to the problem
solving instruction
Page 1 of 1
Dear Endah,
Re: Invitation to present a poster
Thank you for your submission to this year’s Australian Conference on Science and Mathematics Education.
This year we have been delighted at the number and breadth of submissions that have been received. Over
70 Submissions were received! To accommodate the theme of the conference, distribution of submissions
from different disciplines and institutions, your submission had been accepted as a POSTER PRESENTATION.
We will send you a proof of your abstract that will be published in the conference proceedings for you to
check in the next week or so.
Early Bird registrations close on 18 August 2011 so we encourage you to register before then.
You will be contacted closer to the date of the conference regarding your needs for the actual presentation.
Looking forward to seeing you at the conference!
Best wishes,
Alex
-----Dr Alexandra Yeung |
Associate Director, Advancing Science by Enhancing Learning in the Laboratory (ASELL) Project
Manager, Institute for Innovation in Science and Mathematics Education (IISME)
THE UNIVERSITY OF SYDNEY
Rm No 410, School of Chemistry, F11 | The University of Sydney | NSW | 2006 | Australia
T +61 2 9351 4852 | F +61 2 9351 3329 | M +61438874435
E a.yeung@chem.usyd.edu.au |
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