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January 2012 Volume 15 Number 1 - Educational Technology ...

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specifically, instructional approaches (F=7.28, p= 0.008) reach a statistically significant effect on the performance of<br />

post- and retention-PSDAT. In summary, the OLSA learning group outperformed the traditional group on postperformance<br />

of Physical Science Dependent Argumentation Test.<br />

Multiple regression analysis<br />

This section examines the relationship between students’ degree of conceptual change and their scientific<br />

argumentation ability. Therefore, the stepwise regression method was used to explore whether the pre- PSDAT or<br />

pre-PSCT test would be most important for predicting the post-PSDAT scores. Results indicated that the best single<br />

predictor for post-PSDAT sores was the pre-PSCT, followed by pre-PSDAT scores. The standardized regression<br />

coefficient for pre-PSCT, and pre-PSDAT were 0.41 and 0.31. Together pre-PSDAT and pre-PSCT accounted for<br />

38.0% of the variance in post-PSDAT scores.<br />

The Quantity and Quality of On-Line Scientific Argumentation<br />

The experimental group’s student on-line scientific argumentation learning process was analyzed in two aspects:<br />

nature and extent of argumentation ability and of conceptual change. The quality and quantity of students’<br />

argumentation and conceptual change were presented in the following in order to manifest the nature and extent of<br />

experimental group’s on-line scientific argumentation process.<br />

Argumentation ability<br />

All argumentation questions were designed to require 10-<strong>15</strong> minutes for students to argue. With an average of six<br />

students in a group, the mean frequency of arguments generated by each group in each question increased<br />

progressively from 7.38 to 18.77 arguments during the 10-<strong>15</strong> minutes from topic 1 to 7 (Figure 3).<br />

20<br />

18<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

Unit1 Unit2 Unit3 Unit4 Unit5 Unit6 Unit7<br />

Figure 3. Distribution of mean frequency of arguments generated by each groups’ students across seven units<br />

Repeated measures of ANOVA were used to examine any increases in mean frequency of arguments from topic 1 to<br />

topic 7. The mean frequency of arguments generated by each student in each question significantly increased from<br />

204

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