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

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prompted to consider how their beliefs, experiences and knowledge have shaped the theories they apply to teaching<br />

and learning. Working from awareness and understanding of their own metacognitive strategies and beliefs, student<br />

teachers can then be challenged to consider a wider range of discourses, an aspect that Phelan (2001) argues is vital<br />

in recognizing the discourses that shape and often restrict thinking. From our study, it could be possible to conclude<br />

that the focus for reflection on metacognitive strategies and beliefs could shape or restrict students’ reflection during<br />

the reflective practices.<br />

A similar study is conducted by Andre (1979) who investigates the effects of asking students questions at different<br />

levels of cognitive complexity during learning. It is shown that higher level questions can have facilitative effects on<br />

both reproductive and productive knowledge, but the conditions under which such facilitation occurs are not well<br />

understood. A more recent study by Chen et al. (2009) finds that the main factor affecting reflection levels is high<br />

level prompts followed by high quality observation that has a moderating effect on learners' reflection levels.<br />

Conclusion<br />

Overall, the results of the study suggest that the use of agent tutee as an active and inquisitive learning partner to ask<br />

meaningful questions could be some helpful to students learn by reflective teaching. The preliminary quantitative<br />

and qualitative results suggest that the use of an agent prompts as computer-based scaffolds, could be useful in<br />

particular ways, such as improving students’ learning outcomes and eliciting higher levels of reflection.<br />

The study suggests that generic prompts could be more beneficial in fostering double-loop learning. There remains<br />

significant support challenges that must be overcome before a system similar to that used in this study, with agent<br />

prompts, can be incorporated into regular classroom use. Generally, the goal of supporting students needs to shift<br />

from a notion of leading to one of facilitating and enabling. This means designing intelligent tutee systems that are<br />

not necessarily recipients of information but, rather, they are designed to promote reflection. Instead of attempting to<br />

create an agent tutee that will always know the correct answer, designers need to design agent tutee systems that<br />

encourage students to do both reflection-in-action and reflection-on-action (Schön, 1987) and pay attention to<br />

double-loop reflection (Argyris and Schön, 1974, 1978, 1996), i.e., thinking out of the box.<br />

Acknowledgements<br />

We thank Dr. Gautam Biswas in Vanderbilt for providing the Teachable Agent software.<br />

References<br />

Akbar, H. (2003). Knowledge Levels and their Transformation: Towards the Integration of Knowledge Creation and Individual<br />

Learning. Journal of Management Studies, 40(8), 1997-2001.<br />

Aleven, V. A. W. M. M., & Koedinger, K. R. (2002). An effective metacognitive strategy: learning by doing and explaining with<br />

a computer-based cognitive tutor. Cognitive Science, 26, 33.<br />

Amulya, J. (2004). What is Reflective Practice? Retrieved 18 April 2009, from<br />

http://www.itslifejimbutnotasweknowit.org.uk/files/whatisreflectivepractice.pdf<br />

Andre, T. (1979). Does Answering Higher-Level Questions WhileReading Facilitate Productive Learning? Review of <strong>Educational</strong><br />

Research, 49(2), 280-318.<br />

Argyris, C., & Schön, D. (1974). Theory in practice: Increasing professional effectiveness. San Francisco: Jossey-Bass.<br />

Argyris, C., & Schön, D. (1978). Organizational learning: A theory of action perspective Reading. Mass: Addison Wesley.<br />

Argyris, C., & Schön, D. (1996). Organizational learning II: Theory, method and practice Reading. Mass: Addison Wesley.<br />

Azevedo, R., & Hadwin, A. F. (2005). Scaffolding self-regulated learning and metacognition - Implications for the design of<br />

computer-based scaffolds. Instructional Science, 33, 367--379.<br />

Biggs, J., & Collis, K. (1982). Evaluating the Quality of Learning: the SOLO taxonomy New York: Academic Press.<br />

351

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