winters, f., greene, j., & costich, c. (2008). self-regulation of learning within computer-based...

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Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational Psychology Review, 20(4), 429-444. Self-Regulation of Learning within Computer-based Learning Environments: A Critical Analysis Presenter: Hsiao-lan Lee Professor: Ming-Puu Chen Date: 11 / 07 / 2009

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Page 1: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational Psychology Review, 20(4), 429-444.

Self-Regulation of Learning within Computer-based Learning

Environments: A Critical Analysis

Presenter: Hsiao-lan Lee

Professor: Ming-Puu Chen

Date: 11 / 07 / 2009

Page 2: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Introduction (1/3)

Computer-based learning environments (CBLEs) present important opportunities for fostering learning (Lajoie and Azevedo 2006).– Little focus has been placed on understanding how successful

students take advantage of these environments.

– Many students fail to take full advantage of CBLEs, thus necessitating research into ways of promoting effective use of these powerful but often untapped learning environments.

One potential mediator between the potential of CBLEs and academic performance is the quality of students’ self-regulatory learning (SRL) processes (Azevedo 2005b; Lajoie and Azevedo 2006).

Page 3: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Introduction (2/3)

Computer-based Learning Environments– afford several different representations of information a type of

multimedia learning environment

– allow for user selection of links between representations or information hypermedia environment

– allow for direct user manipulation of these representations simulation or microworld

Empirical research has shown that students often struggle when using CBLEs.– It is often up to learners to determine which representations are most

helpful.

– Researchers have turned to SRL models to better understanding what specific SRL processes are associated with learning with CBLEs.

Page 4: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Introduction (3/3)

Self-regulated learning models– Four assumptions:

1) active in constructing their own meanings and goals2) capable of monitoring and controlling3) constrained or facilitated by intraindividual factors as well as

extraindividual influences4) position self-regulated learning as a mediator between personal

and contextual influences and actual learning performance

– Frameworks:1) Pintrich (2000): cognition, motivation, behavior, and context2) Zimmerman (2000, 2001): social cognitive factors3) Winne and Hadwin (1998): the cognitive architecture of SR

– Models of SRL have received a great deal of attention in CBLE research because individuals that can effectively plan, monitor, and control their learning.

Page 5: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Research questions

1. How do learner and task characteristics relate to students’ SRL with CBLEs?

2. Can various learning supports or conditions enhance the quality of students’ SRL as they learn with CBLEs?

3. What conceptual, theoretical, and methodological issues exist for this growing area of research?

Page 6: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Method

Meta-analysis– 33 articles– key words self regulat* along with computer, hypermedia,

multimedia, simulation, and microworld– criteria:

1) empirical and peer-reviewed

2) SRL had to be a primary focus of the study.

3) focus on academic learning

4) CBLE had to be the primary instructional modality.

Page 7: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Research question 1

Learner and task characteristics– High prior knowledge students tended to engage in greater instances

of planning and monitoring.– Students who were more academically successful, or who showed

higher learning gains during a task tended to use more active learning strategies.

– Students working collaboratively supported each other in a regulatory manner, but the success of the collaboration depended in part on the ability and prior knowledge levels of the collaborating students.

Patterns in motivation– Students’ self-efficacy for SRL has been shown to relate positively to

other beliefs critical to academic success.– Goal orientation has been shown to be related to specific SRL

behaviors, such as notetaking.– Students adapted their individual goals and plans in accordance with

changes in task complexity.

Page 8: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Research Question 2

Support tools– Students may have viewed support tools as aiding their SRL.

They did not always use tools and supports available to them.

Conceptual support– Static conceptual learning supports in these studies increased

planning behaviors.– Adaptive scaffolding for conceptual understanding as well as SRL

increased planning, monitoring, and effective strategy use in concert with improved learning outcomes.

Metacognitive support– Self-monitoring, strategy use and interest led to positive learning

outcomes. – Students can be trained to use particular SRL processes that are

considered effective for a given task.

Page 9: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Research Question 3 Conceptual & Theoretical Issues

Focus on a specific theoretical model or framework– 23/33: (1) Zimmerman’s (2000, 2001) three-phase social-cognitive

model, (2) Winne and Hadwin’s (1998) information processing model, and (3) Pintrich’s (2000) framework

– 10/33: treat SRL as a construct without theoretical distinctions– A lack of theoretical focus can produce a lack of clarity about

terminology and definitions in the literature. ex: metacognition and SRL

Different aspects of a particular model or theory– These differences in emphasis on various facets of SRL present a

challenge to determining how all of them may be interrelated and how they may provide evidence for a particular theory or model of SRL.

Page 10: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Research Question 3 Methodological Issues (1/3)

The focus on just one area of SRL– Several studies analyzed trace data on just a few specific learning

strategies, failing to capture SRL in its entirety.

– Most theories and models define SRL as a recursive and recycling process between different phases. Pulling apart individual pieces for scrutiny may not provide an accurate picture of the role the pieces play in the larger construct of SRL.

– The self-report data alone would not have provided as accurate a picture of these students. think-aloud protocol, discourse analysis

Page 11: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Research Question 3 Methodological Issues (2/3)

SRL and learning outcomes– One third of the reviewed studies did not include any type of

measure of student learning.

– Learning is Inherent in the definition of SRL. But what conclusions about SRL is unrelated to learning outcomes.

– This results make clear application and generalization of the results of these studies difficult.

Page 12: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Research Question 3 Methodological Issues (3/3)

SRL scaffolding through peers, tools, and tutors– The scaffolding’s impact on students’ self-regulated learning was

then investigated. However, the question remains as to how much of this regulation was self-initiated.

– If these supports aid students’ SRL, the processes students engage in may more accurately be described as other- rather than self- regulated.

– Support for self-regulation may be necessary in the development of SRL, but at what point should these supports be removed or faded?

Page 13: Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational

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Conclusion and Future Directions

1. The majority of studies failed to measure SRL in all its diversity.

2. Future research should find ways to supplement or replace self-report measures for SRL.

3. There was a lack of focus on the quality of SRL processes used, and future research should strive to address this.

4. Not all studies linked SRL process use with learning outcomes.

5. Many of the studies provided support for different aspects of SRL, either through various tools, through access to tutors or feedback, through prompts, and through peers.

6. There is a need to identify whether the efficacy of particular SRL processes varies according to the type of CBLE used