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Classroom Strategies to Enhance Academic Engaged Time

Chapter

Abstract

A strong predictor of student achievement is the amount of time students are actively engaged in learning, or academic engaged time (AET). Sustained engagement, in turn, is influenced by the extent to which students are motivated to invest time in learning. Despite the importance of AET, studies reveal that engagement (determined by motivation) may be as low as 45–50% in some classrooms. Beginning with a model developed by Carroll in 1963, several theoretical conceptualizations of school learning have emphasized the critical role of engaged time in determining student achievement. Subsequently, empirical studies focusing on the relationship between time and learning have documented the role of the instructional context in explaining both student motivation (willingness to invest time in learning) and student engagement (actual involvement or participation in learning). In addition to discussing theory and research that implicate time in the teaching-learning process, this chapter describes three groupings of evidence-based practices that contribute to student engagement and motivation, including classroom management, instructional design, and student-mediated strategies.

Keywords

Instructional Design Student Engagement Classroom Management Autonomous Motivation Student Motivation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Adelman, N. E., Haslam, M. B., & Pringle, B. A. (1996). The uses of time for teaching and learning (Vol. 1). Washington, DC: Policy Studies Associates, Inc.Google Scholar
  2. Anderson, L. W. (Ed.). (1984). Time and school learning: Theory, research and practice. New York: St. Martin’s Press.Google Scholar
  3. Anderson, L. W. (Ed.). (1985). Perspectives on school learning: Selected writings of John B. Carroll. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
  4. Aronson, J., Zimmerman, J., & Carlos, L. (1999). Improving student achievement by extending school: Is it just a matter of time? San Francisco: WestEd.Google Scholar
  5. Bandura, A., Martinez-Pons, M., & Zimmerman, B. J. (1992). Self-motivation for academic attainment: The role of self-efficacy beliefs and personal goal setting. American Educational Research Journal, 29, 663–674.Google Scholar
  6. Bangert-Drowns, R. L., Kulik, C. C., Kulik, J. A., & Morgan, M. (1991). The instructional effects of feedback in test-like events. Review of Educational Research, 61, 213–238.Google Scholar
  7. Ben-Peretz, M., & Bromme, R. (Eds.). (1990). The nature of time in schools: Theoretical concepts, practitioner perceptions. New York: Teachers College Press.Google Scholar
  8. Berliner, D. (1990a). What’s all the fuss about instructional time? In M. Ben-Peretz & R. Bromme (Eds.), The nature of time in schools: Theoretical concepts, practitioner perceptions (pp. 3–35). New York: Teachers College Press.Google Scholar
  9. Berliner, D. (1990b). The place of process-product research in developing the agenda for research on teaching thinking. Educational Psychologist, 24, 325–344.CrossRefGoogle Scholar
  10. Black, S. (2002). Time for learning. American School Board Journal, 189, 58–62.Google Scholar
  11. Blatchford, P., Russell, A., Bassett, P., Brown, P., & Martin, C. (2007). The effect of class size on the teaching of pupils aged 7–11 years. School Effectiveness and School Improvement, 18(2), 147–172.CrossRefGoogle Scholar
  12. Block, J. H. (Ed.). (1971). Mastery learning: Theory and practice. New York: Holt, Rinehart, & Winston.Google Scholar
  13. Block, J. H. (1983). Learning rates and mastery learning. Outcomes, 2(3), 18–23.Google Scholar
  14. Block, J. H., & Anderson, L. W. (1975). Mastery learning in classroom instruction. New York: Macmillan.Google Scholar
  15. Bloom, B. S. (1974). Time and learning. American Psychologist, 29, 682–688.CrossRefGoogle Scholar
  16. Borkowski, J. G., & Muthukrishna, N. (1992). Moving metacognition into the classroom: “Working models” and effective strategy teaching. In M. Pressley, K. R. Harris, & J. T. Guthrie (Eds.), Promoting academic competence and literacy in school (pp. 477–501). San Diego, CA: Academic.Google Scholar
  17. Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65, 245–281.Google Scholar
  18. Caldwell, J. H., Huitt, W. G., & Graeber, A. O. (1982). Time spent in learning: Implications from research. The Elementary School Journal, 82, 471–480.CrossRefGoogle Scholar
  19. Carr, S. C., & Punzo, R. P. (1993). The effects of self-monitoring of academic accuracy and productivity on the performance of students with behavioral disorders. Behavior Disorders, 18, 241–250.Google Scholar
  20. Carroll, J. B. (1963). A model of school learning. Teachers College Record, 64, 723–733.Google Scholar
  21. Carroll, J. B. (1984). The model of school learning: Progress of an idea. In L. W. Anderson (Ed.), Time and school learning: Theory, research and practice (pp. 15–46). New York: St. Martin’s Press.Google Scholar
  22. Carroll, J. B. (1989). The Carroll model: A 25-year retrospective and prospective view. Educational Researcher, 18, 26–31.Google Scholar
  23. Chuska, K. (1995). Improving classroom questions: A teacher’s guide to increasing student motivation, participation, and higher level thinking. Bloomington, IN: Phi Delta Kappa Educational Foundation.Google Scholar
  24. Cole, C. L., & Bambara, L. M. (2000). Self-monitoring: Theory and practice. In E. S. Shapiro & T. R. Kratochwill (Eds.), Behavioral assessment in schools: Theory, research, and clinical foundations (2nd ed., pp. 202–232). New York: Guilford Press.Google Scholar
  25. Cole, C. L., Marder, T., & McCann, L. (2000). Self-monitoring. In E. S. Shapiro & T. R. Kratochwill (Eds.), Conducting school-based assessments of child and adolescent behavior (pp. 121–149). New York: Guilford Press.Google Scholar
  26. Cooley, W. W., & Leinhardt, G. (1976). The application of a model for investigating classroom processes. Pittsburgh, PA: University of Pittsburgh, Learning Research & Development Center.Google Scholar
  27. Cooley, W. W., & Leinhardt, G. (1980). The instructional dimensions study. Educational Evaluation and Policy Analysis, 2, 7–26.Google Scholar
  28. Cooper, H., Robinson, J. C., & Patall, A. (2006). Does homework improve academic achievement? A synthesis of research, 1987–2003. Review of Educational Research, 76, 1–62.CrossRefGoogle Scholar
  29. Daly, P. M., & Ranalli, P. (2003). Using Countoons to teach self-monitoring skills. Teaching Exceptional Children, 35(5), 30–35.Google Scholar
  30. Dawson, P. (2007). Best practices in managing homework. In A. Thomas & J. Grimes (Eds.), Best practices in school psychology V (pp. 1073–1084). Bethesda, MD: National Association of School Psychologists.Google Scholar
  31. Deci, E., & Ryan, R. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25, 54–67.PubMedCrossRefGoogle Scholar
  32. Deci, E., & Ryan, R. (2008). Self-determination theory: A macrotheory of human motivation, development and health. Canadian Psychology, 49(3), 182–185.CrossRefGoogle Scholar
  33. Denham, C., & Lieberman, A. (Eds.). (1980). Time to learn. Washington, DC: U.S. Department of Education.Google Scholar
  34. DuPaul, G. J., & Stoner, G. (2003). ADHD in the schools: Assessment and intervention strategies. New York: Guilford Press.Google Scholar
  35. Fisher, C. W., & Berliner, D. C. (1985). Perspectives on instructional time. New York: Longman.Google Scholar
  36. Fisher, D. (2009). The use of instructional time in the typical high school classroom. The Educational Forum, 73, 168–173.CrossRefGoogle Scholar
  37. Fowler, W. (1995). School size and student outcomes. Advances in Educational Productivity, 5, 3–26.Google Scholar
  38. Fredrick, W. C., & Walberg, H. J. (1980). Learning as a function of time. The Journal of Educational Research, 73, 183–194.Google Scholar
  39. Frieberg, H. J., & Driscoll, A. (2000). Universal teaching strategies (3rd ed.). Boston: Allyn & Bacon.Google Scholar
  40. Gall, M. (1984). Synthesis of research on teachers’ questioning. Educational Leadership, 42, 40–47.Google Scholar
  41. Gettinger, M. (1984). Individual differences in time needed for learning: A review of the literature. Educational Psychologist, 19, 15–29.CrossRefGoogle Scholar
  42. Gettinger, M. (1985). Time allocated and time spent relative to time needed for learning as determinants of achievement. Journal of Educational Psychology, 77, 3–11.CrossRefGoogle Scholar
  43. Gettinger, M. (1989). Effects of maximizing time spent and minimizing time needed on pupil achievement. American Educational Research Journal, 26, 73–91.Google Scholar
  44. Gettinger, M., & Ball, C. (2007). Best practices in increasing academic engaged time. In A. Thomas & J. Grimes (Eds.), Best practices in school psychology V (pp. 1043–1075). Bethesda, MD: National Association of School Psychologists.Google Scholar
  45. Gettinger, M., & Kohler, K. (2006). Process-outcome approaches to classroom management and effective teaching. In C. M. Evertson & C. S. Weinstein (Eds.), Handbook of classroom management: Research, practice, and contemporary issues (pp. 73–96). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
  46. Gettinger, M., & Stoiber, K. (2009). Effective teaching and effective schools. In T. B. Gutkin & C. R. Reynolds (Eds.), The handbook of school psychology (4th ed., pp. 769–790). Hoboken, NJ: John Wiley.Google Scholar
  47. Gijselaers, W. H., & Schmidt, H. G. (1995). Effects of quantity of instruction on time spent on learning and achievement. Educational Research and Evaluation, 1, 183–201.CrossRefGoogle Scholar
  48. Good, T. L., & Brophy, J. E. (2003). Looking in classrooms (9th ed.). Boston: Allyn & Bacon.Google Scholar
  49. Goodman, L. (1990). Time and learning in the special education classroom. Albany, NY: State University of New York Press.Google Scholar
  50. Guskey, T. R. (2001). Mastery learning. In N. J. Smelser & P. B. Baltes (Eds.), International encyclopedia of social and behavioral sciences (pp. 9372–9377). Oxford, UK: Elsevier Science.CrossRefGoogle Scholar
  51. Guthrie, J. T., & Wigfield, A. (2000). Engagement and motivation in reading. In M. L. Kamil, P. B. Mosenthal, P. D. Pearson, & R. Barr (Eds.), Handbook of reading research (Vol. 3, pp. 403–424). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
  52. Haertel, G. D., Walberg, H. F., & Weinstein, T. (1983). Psychological models of educational performance: A theoretical synthesis of constructs. Review of Educational Research, 53, 75–91.Google Scholar
  53. Harmin, M., & Toth, M. (2006). Inspiring active learning: A complete handbook for today’s teachers. Alexandria, VA: Association of Supervision and Curriculum Development.Google Scholar
  54. Harnishfeger, A., & Wiley, D. (1976). The teaching-learning process in elementary schools: A synoptic view. Curriculum Inquiry, 6, 5–43.CrossRefGoogle Scholar
  55. Harnishfeger, A., & Wiley, D. (1985). Origins of active learning time. In C. W. Fisher & D. C. Berliner (Eds.), Perspectives on instructional time (pp. 133–156). New York: Longman.Google Scholar
  56. Hollywood, T. M., Salisbury, C. I., Rainforth, B., & Palombaro, M. (1995). Use of instructional time in classrooms serving students with and without severe disabilities. Exceptional Children, 61, 242–254.Google Scholar
  57. Huitt, W. (1995). A systems model of the teaching/learning process. Educational Psychology Interactive. Valdosta, GA: College of Education, Valdosta State University. Retrieved March, 2010, from http://teach.valdosta.edu/whuitt/materials/tchlrnmd.html
  58. Karweit, N. (1989). Time and learning: A review. In R. E. Slavin (Ed.), School and classroom organization (pp. 69–95). Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
  59. Karweit, N., & Slavin, R. E. (1981). Measurement and modeling choices in studies of time and learning. American Educational Research Journal, 18, 151–171.Google Scholar
  60. Kauchak, D. P., & Eggen, P. D. (2003). Learning and teaching: Research-based methods (4th ed.). Boston: Allyn & Bacon.Google Scholar
  61. Kelshaw-Levering, K., Sterling-Turner, H. E., Henry, J. R., & Skinner, C. H. (2000). Randomized interdependent group contingencies. Psychology in the Schools, 37, 523–534.CrossRefGoogle Scholar
  62. Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119, 254–284.CrossRefGoogle Scholar
  63. Kubitschek, W. N., Hallinan, M. T., Arnett, S. M., & Galipeau, K. S. (2005). High school schedule changes and the effect of lost instructional time on achievement. High School Journal, 89, 63–71.CrossRefGoogle Scholar
  64. Leinhardt, G. (1978). Applying a classroom process model to instructional evaluation. Curriculum Inquiry, 8, 155–176.CrossRefGoogle Scholar
  65. Levendoski, L. S., & Cartledge, G. (2000). Self-monitoring for elementary school children with emotional ­disturbances: Classroom application for increased academic responding. Behavioral Disorders, 25, 211–224.Google Scholar
  66. Litow, L., & Pumroy, D. (1975). A brief review of classroom group-oriented contingencies. Journal of Applied Behavior Analysis, 8, 341–347.CrossRefGoogle Scholar
  67. Marks, H. M. (2000). Student engagement in instructional activity: Patterns in the elementary, middle, and high school years. American Educational Research Journal, 37, 153–184.Google Scholar
  68. Marzano, R. J., Pickering, D. J., & Pollock, J. E. (2001). Classroom instruction that works: Research-based strategies for increasing student achievement. Alexandria, VA: Association for Supervision and Curriculum Development.Google Scholar
  69. Mory, E. H. (1992). The use of informational feedback in instruction: Implications for future research. Educational Technology Research and Development, 40, 5–20.CrossRefGoogle Scholar
  70. Moxley, R. A. (1998). Treatment-only designs and student self-recording as strategies for public school teachers. Education and Treatment of Children, 21, 37–61.Google Scholar
  71. Mulholland, R., & Cepello, M. (2006). What teacher candidates need to know about academic learning time. International Journal of Special Education, 21, 63–73.Google Scholar
  72. National Education Commission on Time and Learning (NECTL). (1994). Prisoners of time: Report of the National Commission on Time and Learning. Washington, DC: U.S. Government Printing Office. (reprinted in 2005).Google Scholar
  73. Odden, A. R., & Archibald, S. J. (2009). Doubling student performance…and finding the resources to do it. Thousand Oaks, CA: Corwin.Google Scholar
  74. Ostrosky, M. M., Jung, E. Y., Hemmeter, M. L., & Thomas, D. (2003). Helping children make transitions between activities. Washington, DC: Center on the Social and Emotional Foundations for Early Learning.Google Scholar
  75. Prater, M. A. (1992). Increasing time-on-task in the classroom: Suggestions for improving the amount of time learners spend in on-task behaviors. Intervention in School and Clinic, 28, 22–27.CrossRefGoogle Scholar
  76. Rangel, E. S. (2007). Time to learn. Research Points, 5(2), 104.Google Scholar
  77. Reid, R. (1996). Research in self-monitoring with students with learning disabilities. Journal of Learning Disabilities, 29, 317–331.PubMedCrossRefGoogle Scholar
  78. Rock, M. L. (2005). Use of strategic self-monitoring to enhance academic engagement, productivity, and accuracy of students with and without disabilities. Journal of Positive Behavior Interventions, 7, 3–17.CrossRefGoogle Scholar
  79. Rosenshine, B. (1995). Advances in research on instruction. The Journal of Educational Research, 88, 262–268.CrossRefGoogle Scholar
  80. Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68–78.PubMedCrossRefGoogle Scholar
  81. Shapiro, E. S., & Cole, C. L. (1994). Behavior change in the classroom: Self-management interventions. New York: Guilford Press.Google Scholar
  82. Shimabukuro, S. M., Prater, M. A., Jenkins, A., & Edelen-Smith, P. (1999). The effects of self-monitoring of academic performance on students with learning disabilities and ADD/ADHD. Education and Treatment of Children, 22, 397–414.Google Scholar
  83. Smith, B. A. (2000). Quantity matters: Annual instruction time in an urban school system. Educational Admini­stration Quarterly, 36, 652–682.CrossRefGoogle Scholar
  84. Squires, D., Huitt, W., & Segars, J. (1983). Effective classrooms and schools: A research-based perspective. Washington, DC: Association for Supervision and Curriculum Development.Google Scholar
  85. Stanley, S. O., & Greenwood, C. R. (1981). CISSAR: Code for instructional structure and student academic response. Observer’s manual. Kansas City, KS: University of Kansas, Bureau of Child Research, Juniper Gardens Children’s Project.Google Scholar
  86. Stichter, J. P., Stormont, M., & Lewis, T. J. (2008). Instructional practices and behavior during reading: A descriptive summary and comparison of practices in Title I and non-Title I elementary schools. Psychology in the Schools, 46, 172–183.CrossRefGoogle Scholar
  87. Tomlinson, C. A. (2003). Differentiating instruction for academic diversity. In M. Cooper (Ed.), Classroom teaching skills (7th ed., pp. 134–165). New York: Houghton Mifflin.Google Scholar
  88. Trammel, D. L., Schloss, P. T., & Alper, S. (1994). Using self-recording, evaluation, and graphing to increase completion of homework assignments. Journal of Learning Disabilities, 27, 75–81.PubMedCrossRefGoogle Scholar
  89. van den Hurk, M., Wolfhagen, H., Dolmans, D., & van der Vleuten, C. (1998). The relation between time spent on individual study and academic achievement in a problem-based curriculum. Advances in Health Sciences Education, 3, 43–49.CrossRefGoogle Scholar
  90. Wang, M. C., Haertel, G. D., & Walberg, H. J. (1993). Toward a knowledge base for school learning. Review of Educational Research, 63, 249–294.Google Scholar
  91. Wehmeyer, M. L., Agran, M., Hughes, C., Martin, J. E., Mithaug, D. E., & Palmer, S. B. (2007). Promoting self-determination in students with developmental disabilities. New York: Guilford Press.Google Scholar
  92. Wiley, D. E., & Harnishfeger, A. (1974). Explosion of a myth: Quantity of schooling and exposure to instruction: Major educational vehicles. Educational Researcher, 3, 7–11.Google Scholar
  93. Woelfel, K. (2005). Learning takes time for at-risk students. Education Digest, 71(4), 28–30.Google Scholar
  94. Wyne, M., & Stuck, G. (1982). Time and learning: Implications for the classroom teacher. The Elementary School Journal, 83, 67–75.CrossRefGoogle Scholar
  95. Zimmerman, B., Greenberg, D., & Weinstein, C. (1994). Self-regulating academic study time: A strategy approach. In D. H. Schunk & B. J. Zimmerman (Eds.), Self-regulation of learning and performance: Issues and educational applications (pp. 181–199). Hillsdale, NJ: Lawrence Erlbaum.Google Scholar

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© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Department of Educational PsychologyUniversity of Wisconsin-MadisonMadisonUSA

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