skip to main content
10.1145/318372.318600acmconferencesArticle/Chapter ViewAbstractPublication PagesdocConference Proceedingsconference-collections
Article
Free Access

Intentional learning in an intentional world: new perspectives on audience analysis and instructional system design for successful learning and performance

Published:01 October 1999Publication History

ABSTRACT

How do we support successful, lifelong learners and performers and help them competently respond to rapidly changing opportunities in the 21st century. The answer to this challenging question lies in how well we consider diverse sources for successful learning and explain audiences differentiated by individual learning differences. After years of primarily cognitive traditions, lack of strong theoretical foundations, and imperfect one-size-fits-all designs, our cognitive-rich explanations are missing the significant, higher-order impact of affective, conative, and other factors on learning. In this study the investigator introduces learning orientation (learner-difference profiles) to examine the fundamental sources for individual learning differences from an entirely new perspective. This perspective highlights the importance of intentions and emotions and describes how these dominant factors guide, manage, and sometimes override cognitive (thinking) processes. Using multiple repeated measures univariate ANOVAs, this study exhibits how learning orientation, time, and environments account for significant variance, effects, and interactions. The results demonstrate useful ways to analyze and differentiate the audience before designing solutions and environments for more successful performance.

References

  1. 1.Bereiter, C., & Scardamalia, M. Surpassing ourselves: Inquiry into the nature and implications of expertise. Chicago: Open Court, 1993.Google ScholarGoogle Scholar
  2. 2.Bereiter, C., & Scardamalia, M. Intentional learning as a goal of instruction. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (1989, pp. 36 I-392) Hillsdale, NJ: Erlbaum Associates.Google ScholarGoogle Scholar
  3. 3.Bundemon, C. V. TICCIT learner control language. Paper presented at the IEEE, Region 6 conference, 1975.Google ScholarGoogle Scholar
  4. 4.Como, L. The best laid plans: Modem conceptions of volition and educational research. Educational Researcher, 22(3), (1993), 14-22.Google ScholarGoogle Scholar
  5. 5.Como, L. Self-regulated learning: A volitional analysis. In B. Zimmerman & D. Schunk (Eds.), Self regulated learning and academic achievement ( 1989, pp. lll- 142). New York: Springer-Verlag.Google ScholarGoogle Scholar
  6. 6.Deci, E., Vallerand, R., Pelletier, L., and Ryan, R. Motivation and education: The self-determination perspective. New York: Plenum Press, 199 1.Google ScholarGoogle Scholar
  7. 7.Dweck, C. S. Motivational processes affecting learning. American Psychologist, 4 1, (1986), 1040-48.Google ScholarGoogle Scholar
  8. 8.Flavell, J. Cognitive development: Past, present, and future. Developmental Psychology, 28(6), (1992), 998-1005.Google ScholarGoogle ScholarCross RefCross Ref
  9. 9.Flavell, J. H. Metacognition. American Psychologist, 34, (1979), 906-911.Google ScholarGoogle ScholarCross RefCross Ref
  10. 10.Glaser, R. Education and thinking: The role of knowledge. American Psychologist, 39, (1984), 93- 104.Google ScholarGoogle Scholar
  11. 11.Glaser, R. Individuals and learning: The new aptitudes. Educational Researcher, l(6), (1972), 5-l 3.Google ScholarGoogle Scholar
  12. 12.Goleman, D. Emotional Intelligence: Why it can matter more than IQ. New York: Bantam, 1995.Google ScholarGoogle Scholar
  13. 13.Kuhl, J., and Atkinson, W. Motivation, thought, and action. New York: Praeger, 1986.Google ScholarGoogle Scholar
  14. 14.Ledoux, J. The emotional brain The mysterious underpinnings of emotional life. New York: Touchstone Books, 1998.Google ScholarGoogle Scholar
  15. 15.Littell, R., Freund, R., & Spector, P. SAS systems for linear models, (3rd Ed.). North Carolina: SAS Institute, 199 1.Google ScholarGoogle Scholar
  16. 16.Littell, R., Miliken, G., Stroup, W., & Wolfinger, R. SAS systems for mixed models. North Carolina: SAS Institute, 1996.Google ScholarGoogle Scholar
  17. 17.McCombs. B. Alternative perspectives for motivation. In L. Baker, P. Afflerbach, & D. Reinking (Eds.), Developing engaged readers in school and home communities, (1996, pp. 67-87). Hillsdale, NJ: Erlbaum Associate.Google ScholarGoogle Scholar
  18. 18.McCombs, B. Strategies for assessing and enhancing motivation: Keys to promoting self-regulated learning and performance. In H. F. ONNeil, Jr., & M. DrillingsGoogle ScholarGoogle Scholar

Index Terms

  1. Intentional learning in an intentional world: new perspectives on audience analysis and instructional system design for successful learning and performance

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SIGDOC '99: Proceedings of the 17th annual international conference on Computer documentation
        October 1999
        220 pages
        ISBN:1581130724
        DOI:10.1145/318372

        Copyright © 1999 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 October 1999

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        Overall Acceptance Rate355of582submissions,61%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader