Self-regulated learning: Difference between revisions

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According to Bandura [[Self-regulation]] strongly depends [[self-efficacy theory]] self-efficacy beliefs. {{quotation | Perceived self-efficacy influences the level of goal challenge people set for themselves, the amount of effort they mobilize, and their pesistence in the face of difficulties. Perceived self-efficacy is theorized to invludence performance accomplishments both directly and indirectly through its influences on self-set goals.}} Zimmerman et al. (1992: 665)
According to Bandura [[Self-regulation]] strongly depends [[self-efficacy theory]] self-efficacy beliefs. {{quotation | Perceived self-efficacy influences the level of goal challenge people set for themselves, the amount of effort they mobilize, and their pesistence in the face of difficulties. Perceived self-efficacy is theorized to invludence performance accomplishments both directly and indirectly through its influences on self-set goals.}} Zimmerman et al. (1992: 665)
For Alpert Sleigh (1997) self-regulation includes several components:
* motivation to monitor and control learning
* the learner's epistemic beliefs on learning
* [[metacognition]]
* [[Cognitive strategy | cognitive]]and [[Learning strategy | learning strategies]]
* prior knowledge and mental models to scaffold new knowledge
* self-efficacy


According to Zimmerman et al. (1992: 664), self-regulated learners direct their learning processes and attainments by
According to Zimmerman et al. (1992: 664), self-regulated learners direct their learning processes and attainments by
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* applying appropriate strategies to achieve their goals,
* applying appropriate strategies to achieve their goals,
* and by enlisting self-regulative invludences that motivate and guide their efforts.
* and by enlisting self-regulative invludences that motivate and guide their efforts.
In addition, {{quotation | self-regulated learners exhibit a high sens of efficacy in their capabilities, which influences the knowledge and skill goals they set for tehmselves and their commitment to fulfill these challenges [...]. This conception of self.directed learning not only encompasses the cognitive skills emphasized by metacognitive theorits, but also extends beyond to include the self-regulation of movtivation, the learning envionment, and social supports for self-directedness.}} (Zimmerman et al. (1992: 664)
In addition, {{quotation | self-regulated learners exhibit a high sense of efficacy in their capabilities, which influences the knowledge and skill goals they set for tehmselves and their commitment to fulfill these challenges [...]. This conception of self.directed learning not only encompasses the cognitive skills emphasized by metacognitive theorits, but also extends beyond to include the self-regulation of movtivation, the learning envionment, and social supports for self-directedness.}} (Zimmerman et al. (1992: 664)


== Self-regulation tools ==
== Self-regulation tools ==
[[Intelligent tutoring system | ITS]]s and [[Intelligent learning environment | ILE]]s can provide built in tools to facilitate self-regulation in learning processes by providing dynamic and intelligent regulatory feedback (Winne, 2005). [[Visualization]]s, assessments, [[Blog | reflective journaling]], models and [[simulation]]s are some options to enhancing self-regulation.
Jermann et al. (2004), describing collaboration management tool design options, distinguish between three types of regulation tools:  
Jermann et al. (2004), describing collaboration management tool design options, distinguish between three types of regulation tools:  
* '''mirroring tools:''' reflect information on an interaction with no evaluation
* '''mirroring tools:''' reflect information on an interaction with no evaluation
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* '''guiding systems:''' comparison of the current state with the desired state is assessed by the system internally and guidance is provided accordingly.  
* '''guiding systems:''' comparison of the current state with the desired state is assessed by the system internally and guidance is provided accordingly.  


Related topics: [[Open learner model]], [[cognitive tool]]
Related topics: [[Open learner model]], [[cognitive tool]], [[metacognition]]


== Instructional design models that emphasize self-regulation ==
== Instructional design models that emphasize self-regulation ==
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== References ==
== References ==
* Alpert Sleight, D. (1997). Self-Regulated Learning during Non-Linear Self-Instruction, Educational Psychology, Michigan State University. [http://www.msu.edu/~sleightd/srl.html].


* Boekaerts, M., Pintrich, P. R., & Zeidner, M. (Eds.). (2000)Handbook of Self-regulation. San Diego: Academic Press.
* Boekaerts, M., Pintrich, P. R., & Zeidner, M. (Eds.). (2000)Handbook of Self-regulation. San Diego: Academic Press.
Line 58: Line 69:


* Virtanen, P., & Niemi, H. (2002). Online Tutoring to Support Student's Self-regulation and Learning Skills in Virtual Learning Environments. Paper presented at the Education and Cultural Diversities NERA's 30th Congress 7.-9. March 2002, Tallinn, Estonia.
* Virtanen, P., & Niemi, H. (2002). Online Tutoring to Support Student's Self-regulation and Learning Skills in Virtual Learning Environments. Paper presented at the Education and Cultural Diversities NERA's 30th Congress 7.-9. March 2002, Tallinn, Estonia.
* Winne, P. (2005) A perspective on state-of-the-art research on self-regulated learning. Instructional Science. 33: 559–565


* Zimmerman, Barry J. (2000): Self-Regulatory Cycles of Learning. In: Gerald A. Straka (Ed.): Conceptions of Self-Directed Learning. Münster: Waxmann, 221 - 234.
* Zimmerman, Barry J. (2000): Self-Regulatory Cycles of Learning. In: Gerald A. Straka (Ed.): Conceptions of Self-Directed Learning. Münster: Waxmann, 221 - 234.

Revision as of 17:56, 12 January 2007

Draft

Definition

  • Educational design should design learning environments that engage students in appropriate self-regulative activities

Zimmerman et al. specified three important characteristics:

  • self-observation (monitoring one's activities);
  • self-judgement (self-evaluation of one's performance) and
  • self-reactions (reactions to performance outcomes)

See also: Self-directed learning

Interest for instruction

According to Bandura Self-regulation strongly depends self-efficacy theory self-efficacy beliefs. “Perceived self-efficacy influences the level of goal challenge people set for themselves, the amount of effort they mobilize, and their pesistence in the face of difficulties. Perceived self-efficacy is theorized to invludence performance accomplishments both directly and indirectly through its influences on self-set goals.” Zimmerman et al. (1992: 665)

For Alpert Sleigh (1997) self-regulation includes several components:

According to Zimmerman et al. (1992: 664), self-regulated learners direct their learning processes and attainments by

  • setting challenging goals for themselves
  • applying appropriate strategies to achieve their goals,
  • and by enlisting self-regulative invludences that motivate and guide their efforts.

In addition, “self-regulated learners exhibit a high sense of efficacy in their capabilities, which influences the knowledge and skill goals they set for tehmselves and their commitment to fulfill these challenges [...]. This conception of self.directed learning not only encompasses the cognitive skills emphasized by metacognitive theorits, but also extends beyond to include the self-regulation of movtivation, the learning envionment, and social supports for self-directedness.” (Zimmerman et al. (1992: 664)

Self-regulation tools

ITSs and ILEs can provide built in tools to facilitate self-regulation in learning processes by providing dynamic and intelligent regulatory feedback (Winne, 2005). Visualizations, assessments, reflective journaling, models and simulations are some options to enhancing self-regulation.

Jermann et al. (2004), describing collaboration management tool design options, distinguish between three types of regulation tools:

  • mirroring tools: reflect information on an interaction with no evaluation
  • metacognitive tools: propose possible courses of action with a comparison to a reference model
  • guiding systems: comparison of the current state with the desired state is assessed by the system internally and guidance is provided accordingly.

Related topics: Open learner model, cognitive tool, metacognition

Instructional design models that emphasize self-regulation

  • POME
  • ... (other entries needed here)

References

  • Alpert Sleight, D. (1997). Self-Regulated Learning during Non-Linear Self-Instruction, Educational Psychology, Michigan State University. [1].
  • Boekaerts, M., Pintrich, P. R., & Zeidner, M. (Eds.). (2000)Handbook of Self-regulation. San Diego: Academic Press.
  • Fetterman, D. M. (2001). Foundations of empowerment evaluation. Thousand Oaks, California: Sage Publications.
  • Niemi, H., Launonen, A. & Raehalme, O. (2002). Towards self-regulation and social navigation in virtual learning spaces. A paper presented at the European Conference on Educational Research 11-14 September 2002. University of Lisbon, Portugal. Paper available in Education-line database: HTML
  • Pintrich, P. R. (Ed.). (1995). "Current Issues in Research on Self-regulated Learning: A discussion with Commentaries (Special Issue)". Educational Psychologist, 30 (4).
  • Pintrich, P. R. (1999). The Role of Motivation in Promoting and Sustaining Self-regulated Learning. International Journal of Educational Research, 31 (6), 459-470.
  • Pintrich, P. R. (2000). The Role of Goal Orientation in Self-regulated Learning. In Monique Boekaerts, Paul R. Pintrich and Moshe Zeidner (Ed.) Handbook of Self-regulation (pp. 452-502). San Diego: Academic Press.
  • Pintrich, P. R., & Garcia, T. (1991). Students Goal Orientation and Self-regulation in the College Classroom. In M. L. Maer, & P. R. Pintrich (Eds.), Advances in motivation and achievement: Goals and self-regulatory processes (pp. 371-42). Greenwich, CT: JAI Press, (Vol.7).
  • Päivi Virtanen, Hannele Niemi, Anne Nevgi, Outi Raehalme and Anna Launonen (2003), Towards strategic learning skills through self-assessment and tutoring in web-based environment, Paper presented at the European Conference on Educational Research, University of Hamburg, 17-20 September 2003 HTML
  • Pintrich, P. R., & Ruohotie, P. (2000). Conative Constructs and Self-regulated Learning. RCVE: Hämeenlinna, Finland.
  • Virtanen, P., & Niemi, H. (2002). Online Tutoring to Support Student's Self-regulation and Learning Skills in Virtual Learning Environments. Paper presented at the Education and Cultural Diversities NERA's 30th Congress 7.-9. March 2002, Tallinn, Estonia.
  • Winne, P. (2005) A perspective on state-of-the-art research on self-regulated learning. Instructional Science. 33: 559–565
  • Zimmerman, Barry J. (2000): Self-Regulatory Cycles of Learning. In: Gerald A. Straka (Ed.): Conceptions of Self-Directed Learning. Münster: Waxmann, 221 - 234.
  • Zimmerman, Barry J. (1989): Models of Self-Regulated Learning and Academic Achievement. In: Barry J. Zimmerman, Dale H. Schunk (Eds.): Self-Regulated Learning and Academic Achievement: theory, research and practice. New York: Springer, 1-25.
  • Barry J. Zimmerman; Albert Bandura; Manuel Martinez-Pons (1992). Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting, American Educational Research Journal, Vol. 29, No. 3. (Autumn, 1992), pp. 663-676. PDF (Access restricted)
  • Barry J. Zimmerman; Manuel Martinez Pons, Development of a Structured Interview for Assessing Student Use of Self-Regulated Learning Strategies, American Educational Research Journal, Vol. 23, No. 4. (Winter, 1986), pp. 614-628. PDF (Access restricted)