The emergence of learning-teaching trajectories in education: A complex dynamic systems approach

Nonlinear Dynamics, Psychology, and Life Sciences

Volumn 17, Issue 2, 2013, Pages 233-267

  Steenbeek, Henderien ^a   van Geert, Paul ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

Complex adaptive system; Computational modeling; Education; Learning

Indexed keywords

ACHIEVEMENT; ARTICLE; ARTIFICIAL INTELLIGENCE; BEHAVIOR; CHILD; COMPUTER SIMULATION; CULTURAL ANTHROPOLOGY; DECISION MAKING; EDUCATIONAL MODEL; EMOTION; HUMAN; HUMAN RELATION; LEARNING; MEMORY; MOTIVATION; PSYCHOLOGICAL ASPECT; SELF CONCEPT; SOCIAL CONTROL; STUDENT; TEACHING;

ACHIEVEMENT; ARTIFICIAL INTELLIGENCE; BEHAVIOR; CHILD; CHOICE BEHAVIOR; COMPUTER SIMULATION; CULTURE; DECISION MAKING; EMOTIONS; GOALS; HUMANS; INTERPERSONAL RELATIONS; LEARNING; MEMORY; MODELS, EDUCATIONAL; SELF CONCEPT; SOCIAL CONTROL, INFORMAL; STUDENTS; TEACHING;

EID: 84875822170     PISSN: 10900578     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (146)

1. Atkinson, J. W., & Birch, D. (1970). The dynamics of action. Oxford, England: John Wiley.
2. Bandura, A. (1977). Social learning theory. Oxford, England: Prentice-Hall.
3. Bergin, C. & Bergin, D. (2009). Attachment in the classroom. Educational Psychology Review, 21, 141-170.
4. Boekaerts, M., & Corno, L. (2005). Self-regulation in the classroom: A Perspective on assessment and intervention. Applied Psychology: An International Review, 54, 199-231.
5. Borsboom, D., Cramer, A. O. J., & Waldorp, L. J., der Maas van. (2010). Comorbidity: A network perspective. Behavioral and Brain Sciences, 33, 137-150.
6. Borsboom, D., Cramer, A. O. J., Schmittmann, V. D., Epskamp, S., & Waldorp, L. J. (2011). The small world of psychopathology. PloS one, 6(11), e27407.
7. Brinbaum, Y, & Cebolla-Boada, H. (2007). The school careers of ethnic minority youth inFrance; Success or disillusion? Ethnicities 7, 445-474.
8. Butler, D. L, Lauscher, H. N., Jarvis-Selinger, S., & Beckingham, B. (2004). Collaboration and self-regulation in teachers' professional development. Teaching and Teacher Education, 20, 435-455.
9. Butler, R., & Shibaz, L. (2008). Achievement goals for teaching as predictors of students' perceptions of instructional practices and students' help seeking and cheating. Learning and Instruction, 18, 453-467.
10. Carver, C. S. & Scheier, M. F. (2000). Autonomy and self regulation. Psychological Inquiry, 11, 284-291.
11. Clements, D. & Sarama, J. (2004). Learning trajectories in mathematics education Mathematical Thinking and Learning, 6, 281-289.
12. Cobb, P. & Yackel, E. (1998). A constructivist perspective on the culture of the mathematics classroom. In F. Seeger, J. Voigt, & U. Waschescio, The culture of the mathematics classroom (pp. 158-190). New York, NY: Cambridge University Press.
13. Cobb, P., Yackel, W., & Wood, T. (1998).The interactive constitution of mathematical meaning in one second grade classroom: An illustrative example. The Journal of Mathematical Behavior, 17, 469-488.
14. Colunga, E. & Smith, L. (2008). Knowledge embedded in process: The self-organization of skilled noun learning. Developmental Science, 11, 195-203.
15. Cowie, H. & van der Aalsvoort, G. M. (2000). Social interaction in learning and instruction: The meaning of discourse for the construction of knowledge. Amsterdam, Netherlands: Pergamon / Elsevier.
16. Cramer, A. O. J., Waldorp, L. J., van der Maas, H., & Borsboom, D. (2010). Complex realities require complex theories: Refining and extending the network approach to mental disorders. Behavioral and Brain Sciences, 33, 178-193.
17. Crosnoe, R., Morrison, F., Burchinal, M., Pianta, R., Keating, D., et al. (2010). Instruction, teacher-student relations, and math achievement trajectories in elementary school. The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Early Child Care Research Network; Journal of Educational Psychology, 102, 407-417.
18. Cziko, G. (2000). The things we do: Using the lessons of Bernard and Darwin to understand the what, how, and why of our behavior. Cambridge, MA: MIT Press.
19. Davis, B., & Sumara, D. (2005). Challenging images of knowing: Complexity science and educational research. International Journal of Qualitative Studies in Education, 18, 305-321.
20. De Weerth, C., van Geert, P., & Hoijtink, H. (1999). Intraindividual variability in infant behavior. Developmental Psychology, 35, 1102-1112.
21. Deci, E. L. & Ryan, R .M. (2002). Self-determination research: Reflections and future directions. In E. L. Deci & R.M. Ryan (Eds.). Handbook of self-determination research (pp. 431-441). Rochester, NY: University of Rochester Press.
22. DePaepe, F., de Corte, E., & Verschaffel, L. (2006). The culture of the mathematics classroom: a complex determinant of students' learning. In J. Elen & R. E. Clark (Eds.), Handling complexity in learning environments: theory and research (pp. 89-106). Oxford, Elsevier.
23. Dinsmore, D. L., Alexander, P. A., & Loughlin, S. M. (2008). Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20, 391-409.
24. Dörnyei, Z. (2009). Individual differences: Interplay of learner characteristics and learning environment. Language Learning, 59, 230-248.
25. Elliot, A. J & Covington, M. V. (2001). Approach and avoidance motivation. Educational Psychology Review, 13, 73-92.
26. Elliot, A. J., & Thrash, T. M. (2001). Achievement goals and the hierarchical model of achievement motivation. Educational Psychology Review, 13, 139-156.
27. Fischer, K. W. & Granott, N. (1995). Beyond one-dimensional change: Parallel, concurrent, socially distributed processes in learning and development. Human Development, 38, 302-314.
28. Flynn, E., & Siegler, R.(2007). Measuring change: Current trends and future directions in microgenetic research. Infant and Child Development, 16, 135-149.
29. Fogel, A. (2009). What is a transaction? In A. Sameroff (Ed.). The transactional model of development: How children and contexts shape each other (pp. 271-280). Washington, DC: American Psychological Association.
30. Fogel, A. (1993). Developing through relationships: Origins of communication, self, and culture. Chicago: University of Chicago Press.
31. Frijda, N. H. (1986). The emotions: Studies in emotion and social interaction. Cambridge, UK: Cambridge University Press.
32. Frijda, N. H. (2001). The self and emotions. In H.A. Bosma & E.S. Kunnen (Eds.), Identity and emotion: Development through self-organization (pp. 39-63). New York, NY: Cambridge University Press.
33. Gilbert, N., & Troitzsch, K. G. (1999). Simulation for the social scientist. Buckingham: Open University Press.
34. Goldspink, C. (2007). Transforming education: Evidential support for a complex systems approach. Transforming Education, 9, 77-92.
35. Goldspink, C., & Kay, R. (2004). Bridging the micro-macro divide: A new basis for social science. Human Relations, 57, 597-618.
36. Gottman, J. M., Murray, J. D., Swanson, C. C.; Tyson, R., & Swanson, K. R. (2002). The mathematics of marriage: Dynamic nonlinear models. Cambridge, MA: MIT Press.
37. Granic, I & Patterson, G. R. (2006). Toward a comprehensive model of antisocial development: A dynamic systems approach. Psychological Review, 113, 101- 131.
38. Granic, I. (2005). Timing is everything: Developmental psychopathology from a dynamic systems perspective. Developmental Review, 25, 386-407.
39. Granott, N. (2002). How microdevelopment creates macrodevelopment: Reiterated sequences, backward transitions, and the Zone of Current Development. In N. Granott & J. Parziale (Eds.), Microdevelopment: Transition processes in development and learning (pp. 213-242). New York, NY: Cambridge University Press
40. Grossen, M. (2009). Commentary. In K. Kumpulainen, C. E. Hmelo-Silver, & M. Cesar, Investigating classroom interaction: methodologies in action (pp. 263-276). Rotterdam: Sense Publishers.
41. Guanglu, Z. (2012). On the Recursion between Teaching and Learning. Complicity: An International Journal of Complexity and Education, 9, 90-97.
42. Guastello, S. J. (2009). Group dynamics: Adaptation, coordination, and the emergence of leaders. In S. J. Guastello, M. Koopmans & D. Pincus (Eds), Chaos and complexity in psychology: The theory of nonlinear dynamical systems (pp. 402- 433). New York, NY: Cambridge University Press.
43. Guastello, S. J., & Liebovitch, L. S. (2009). Introduction to nonlinear dynamics and complexity. In S. J. Guastello, M. Koopmans & D. Pincus (Eds), Chaos and complexity in psychology: The theory of nonlinear dynamical systems (pp. 1- 40). New York, NY: Cambridge University Press.
44. Hamaker, E. L., Dolan, C. V., & Molenaar, P. C. M. (2005). Statistical Modeling of the Individual: Rationale and Application of Multivariate Stationary Time Series Analysis. Multivariate Behavioral Research, 40, 207-233.
45. Han, W. J. (2008). The academic trajectories of children of immigrants and their school environments. Developmental Psychology, 44, 1572-1590.
46. Hidi, S., & Renninger, K. A. (2006). The Four-Phase Model of Interest Development. Educational Psychologist, 41, 111-127.
47. Horner, R. H., Carr, E. G., Halle, J., Mcgee, G., Odom, S., & Wolery, M. (2005). The Use of Single-Subject Research to Identify Evidence-Based Practice in Special Education. Exceptional Children, 71, 165-179.
48. Howe, M. & Lewis, M.D. (2005). The importance of dynamic systems approaches for understanding development. Developmental Review, 25, 247-251.
49. Immordino-Yang, M. H. & Damasio, A. (2008). We feel, therefore we learn: The relevance of affective and social neuroscience to education. In K. Fischer (Introduction by) and M. H. Immordino-Yang (Introduction by), The Jossey- Bass reader on the brain and learning (pp. 183-198). San Francisco: Jossey- Bass.
50. Jorg, T. (2011). New thinking in complexity for the social sciences and humanities: A generative, transdisciplinary approach. New York, NY: Springer.
51. Jorg, T, Davis, B. & Nickmans, G. (2007). Towards a new, complexity science of learning and education. Educational Research Review, 2, 145-156.
52. Kaplan & Maehr (2006). The contribution and prospects of goal theory. Educational Psychology Review, 19, 141-184.
53. Kello, C. T., Brown, G. D. A, Ferrer-I-Cancho, R., Holden, J. G., Linkenkaer-Hansen, K., et al. (2010). Scaling laws in cognitive sciences. Trends in cognitive sciences, 14, 223-32.
54. Koretz, D. (2008). Measuring up. Cambridge, MA: Harvard University Press.
55. Krapp, A. (2005). Basic needs and the development of interest and intrinsic motivational orientations. Learning and Instruction, 15, 381-395.
56. Krapp, A. (2007). An educational-psychological conceptualisation of interest. International Journal for Educational and Vocational Guidance, 7, 5-21.
57. Kumpulainen, K., Hmelo-Silver, C. E., & Cesar, M. (2009). Investigating classroom interaction; methodologies in action. Rotterdam: Sense Publishers.
58. Kunter, M., Tsai, Y., Klusmann, U., Brunner, M., Krauss, S., & Baumert, J. (2008). Students' and mathematics teachers' perceptions of teacher enthusiasm and instruction. Learning and Instruction, 18, 468-482.
59. Lajoie, S. P. (2008). Metacognition, self regulation, and self-regulated learning: A rose by any other name? Educational Psychology Review, 20, 469-475.
60. Larsen-Freeman, D. (1997). Chaos/complexity science and second language acquisition. Applied Linguistics, 18, 141-165.
61. Larsen-Freeman, D., & Cameron, L. (2008). Complex systems and applied linguistics. Oxford, UK: Oxford University Press.
62. Lerman, S. (1998). Cultural perspectives on mathematics and mathematics teaching and learning. In F. Seeger, J. Voigt, & U. Waschescio (Eds.), The culture of the mathematics classroom (pp. 290-307). New York, NY: Cambridge University Press.
63. Lewis, M. D. & Granic, I. (2000). Emotion, development, and self-organization: Dynamic systems approaches to emotional development. New York, NY: Cambridge University Press.
64. Lewis, M. D. (2002). Interacting time scales in personality (and cognitive) development: Intentions, emotions, and emergent forms. In N. Granott & J. Parziale (Eds.). Microdevelopment: Transition processes in development and learning (pp. 183-212). New York, NY: Cambridge University Press.
65. Lichtwarck-Asschof, A., van Geert, P., Bosma, H., & Kunnen, S. (2008). Time and identity: A framework for research and theory formation. Developmental Review, 28, 370-400.
66. Loyens, S. M. M., Magda, J., & Rikers, R.M. (2008). Self-directed learning in problembased learning and its relationships with self-regulated learning. Educational Psychology Review, 20, 411-427.
67. Lunkenheimer, E. & Dishion, T. (2009). Developmental psychopathology: maladaptive and Adaptive attractors in children's close relationships. In S. J. Guastello, M. Koopmans, & D. Pincus (Eds.), Chaos and complexity in psychology: The theory of nonlinear dynamical systems (pp. 282-306). New York, NY: Cambridge University Press.
68. Malmberg, L. (2008). Student teachers' achievement goal orientations during teacher studies: Antecedents, correlates and outcomes. Learning and Instruction, 18, 438-452.
69. Meece, J. L., Anderman, E. M., & Anderman, L. H. (2006). Classroom goal structure, student motivation, and academic achievement. Annual Review of Psychology, 57, 487-503.
70. Mercer, S. (2011). Understanding learner agency as a complex dynamic system. System, 39, 427-436.
71. Meyer, D. K. & Turner, J. C. (2006). Re-conceptualizing emotion and motivation to learn in classroom contexts. Educational Psychology Review, 18, 377-390.
72. Miller, R. B., & Brickman, S. J. (2004). A model of future-oriented motivation and selfregulation. Educational Psychology Review, 16, 9-33.
73. Minnaerts, A., Boekaerts, M., & de Brabander, C. (2007). Autonomy, competence, and social relatedness in task interest within project-based education. Psychological Reports, 101, 574-586.
74. Molenaar, P. C. M. (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement, 2, 201-218.
75. Molenaar, P. C. M., & Campbell, C. G. (2009). The new person-specific paradigm in psychology. Current Directions in Psychological Science, 18, 112-116.
76. Mowat, E., & Davis, B. (2010). Interpreting embodied mathematics using network theory: Implications for mathematics education. Complicity: An International Journal of Complexity and Education, 7, 1-31.
77. Mullis, I. V. S., Martin, M. O., & Foy, P., Olson, J. F., Preuschoff, C. et al. (2008). TIMSS 2007 International mathematics report: Findings from IEA's trends in international mathematics and science study at the fourth and eighth grades. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.
78. Murphy, P. K. (2007). The eye of the beholder: The interplay of social and cognitive components in change. Educational Psychologist, 42, 41-53
79. Nakamura, J., & Csikszentmihalyi, M. (2002). The concept of flow. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 89-105). New York, NY: Oxford University Press
80. Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45, 167.
81. Newman, M. E. J. (2010). Networks: An introduction. Oxford UK: Oxford University Press.
82. Newman, R. S. (2000). Social influences on the development of children's adaptive help seeking: The role of parents, teachers, and peers. Developmental Review, 20, 350-404.
83. Nolen, A. L.(2009). The content of educational psychology: An analysis of top ranked journals from 2003 through 2007. Educational Psychology Review, 21, 3279- 3289.
84. Odom, S. L., Brantlinger, E., Gersten, R., Horner, R. H., Thompson, B., & Harris, K. R. (2005). Research in Special Education: Scientific Methods and Evidence-Based Practices. Exceptional Children, 71, 137-148.
85. Papaioannou, A. G., Simou, T., Kosmidou, E., Milosis, D., & Tsigilis, N. (2009). Goal orientations at the global level of generality and in physical education: Their association with self-regulation, affect, beliefs and behaviours. Psychology of Sport and Exercise, 10, 466-480.
86. Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18, 315-341.
87. Pol, J. v. d., Volman, M., & Beishuizen, J. (2011). Patterns of contingent teaching in teacher-student interaction. Learning and Instruction, 21, 46-57.
88. Powers, W. T. (1992). Living control systems II: Selected papers of William T. Powers. Gravel Switch, KY: Control Systems Group.
89. Radford, M. (2006). Researching classrooms: Complexity and chaos. British Educational Research Journal, 32, 177-190.
90. Radford, M. (2007). Action research and the challenge of complexity. Cambridge Journal of Education, 37, 263-278.
91. Renninger, K. A. (2009). Interest and identity development in instruction: An inductive model. Educational Psychologist, 44, 105-118.
92. Rothbart, M. K., & Jones, L. B. (1998). Temperament, self-regulation and education. School Psychology Review, 27, 479-491.
93. Roussel, P., Elliot, A. J., & Feltman, R. (2010). The influence of achievement goals and social goals on help-seeking from peers in an academic context. Learning and Instruction, 21, 394-402.
94. Rowe, K., (2003). The importance of teacher quality as a key determinant of students' experiences and outcomes of schooling. Retrieved May 25, 2012 from http://research.acer.edu.au/research_conference_2003/3
95. Sarama, J., & Clements, D. H. (2009). Early childhood mathematics education research: Learning trajectories for young children. New York, NY: Routledge.
96. Schunk, D. H. & Zimmerman, B. J. (1994). Self-regulation of learning and performance: Issues and educational applications. Hillsdale, NJ: Lawrence Erlbaum Associates.
97. Schunk, D. H. (2008). Metacognition, self-regulation, and self-regulated learning: Research recommendations. Educational Psychology Review, 20, 463-467.
98. Schunk, D. H. & Zimmerman, B. J. (2000). Motivation and self-regulated learning: Theory, research, and applications. Mahwah, NJ: Lawrence Erlbaum Associates.
99. Schunk, D. H. & Zimmerman, B. J. (2003). Self-regulation and learning. In W. M. Reynolds, W. M. Miller, & G. E. Miller (Eds.), Handbook of psychology: Educational psychology, vol. 7 (pp. 59-78). Hoboken, NJ: Wiley.
100. Schunk, D. H. & Zimmerman, B. J. (2004). Self-regulating intellectual processes and outcomes: A social cognitive perspective. In D. Y. Dai & R. J. Sternberg (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 323-349). Mahwah, NJ: Lawrence Erlbaum Associates.
101. Shapiro, E. S., & Kratochwill, T. R. (2000). Behavioral assessment in schools: Theory,J. (2005). Moving on by backing away. In G. Yancy, & S. Hardly (Eds.). Narrative identities: Psychologists engaged in self-construction (pp. 150-171). London, UK: Jessica Kingsley Publishers.
102. Siegler, R. S. (2007). Cognitive variability. Developmental Science, 10, 104-109.
103. Siegler, R. S., & Stern, E. (1998). Conscious and unconscious strategy discoveries: A microgenetic analysis. Journal of Experimental Psychology, 127, 377-397.
104. Siegler, R. S. (1995). Children's thinking: How does change occur? In F. E. Weinert & W. Schneider (Eds.), Memory performance and competencies: Issues in growth and development (pp. 405-430). Hillsdale, NJ: Lawrence Erlbaum Associates.
105. Simon, M. A., Tzur, R., Heinz, K., & Kinzel, M. (2004). Explicating a Mechanism for Conceptual Learning: Elaborating the Construct of Reflective Abstraction. Journal for Research in Mathematics Education, 35, 305-329.
106. Simons, J., Vansteenkiste, M., Lens, W., & Lacante, M. (2004). Placing motivation and future time perspective theory in a temporal perspective. Educational Psychology Review, 16, 121-139.
107. Slavin, R. E. (2002). Evidence-Based Education Policies: Transforming Educational Practice and Research. Educational Researcher, 31, 15-21.
108. Slavin, R. E. (2008). Perspectives on Evidence-Based Research in Education--What Works? Issues in Synthesizing Educational Program Evaluations. Educational Researcher, 37, 5-14.
109. Smith, L. B. (2005). Cognition as a dynamic system: Principles from embodiment. Developmental Review, 25, 278-298.
110. Sorsana, C. (2008). Developmental co-construction of cognition. European Journal of Developmental Psychology, 5, 537-543.
111. Stake, R.E. (1995). The art of case study research. Thousand Oaks, CA, US: Sage Publications, Inc.
112. Steenbeek, H. & van Geert, P. (2005). A dynamic systems model of dyadic interaction during play of two children. European Journal of Developmental Psychology, 2, 105-145.
113. Steenbeek, H. (2006). Modeling dyadic child-peer interactions; Sociometric status, emotional expressions and instrumental actions during play. Doctoral dissertation, University of Groningen.
114. Steenbeek, H., Jansen, L., & van Geert, P. (2012). Scaffolding dynamics and the emergence of problematic learning trajectories. Learning and Individual Differences, 22, 64-75.
115. Steenbeek, H. W., van der Aalsvoort, D., & Van Geert, P. (2013). Collaborative play in young children as a complex dynamic system; revealing gender related differences. (Manuscript submitted for publication.)
116. Steenbeek, H. W. & van Geert, P. (2006). A theory and dynamic model of dyadic interaction: Concerns, appraisals and contagiousness in a developmental context. Developmental Review, 27, 1- 40.
117. Steenbeek, H. W. & van Geert, P. L. C. (2007). Do you still like to play with him? Variability and the dynamic nature of children's sociometric ratings. Netherlands Journal of Psychology, 3, 86-10.
118. Steenbeek, H. W. & van Geert, P. L. C. (2008). An empirical validation of a dynamic systems model of interaction: Do children of different sociometric statuses differ in their dyadic play? Developmental Science, 11, 253-181.
119. Thelen, E. & Smith, L. B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, MA: The MIT Press.
120. Todman, J. B. & Dugard, P. (2001). Single-case and small-n experimental designs: A practical guide to randomization tests. Mahwah NJ: Larewnce Erlbaum Associates.
121. Uebersax, J. (2005). Statistical methods for rater agreement. Retrieved May 25, 2012 from http://ourworld.compuserve.com/homepages/jsuebersax/agree.htm
122. Urdan, T. & Midgley, C. (2001). Academic self-handicapping: What we know, what more there is to learn. Educational Psychology Review, 13, 115-138.
123. van der Aalsvoort, G., van Geert, P., & Steenbeek, H. (2008). Possibilities and drawbacks of microgenetic methodology related to research on learning and instruction. In K. Kumpulainen, C.E. Hmelo-Silver, & M. Cesar (Eds.), Investigating classroom interaction: Methodologies in action (pp. 203-228). Rotterdam: Sense Publishers.
124. van der Maas, H. L. J., Dolan, C. V., Grasman, R. P., Wicherts, J. M., Huizenga, H. M., & Raijmakers, M. E. J. (2006). A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review, 113, 842-861.
125. van Geert, P. (1991). A dynamic systems model of cognitive and language growth. Psychological Review, 98, 3-53.
126. van Geert, P. (1994). Dynamic systems of development; Change between complexity and chaos. New York, NY: Harvester Wheatsheaf.
127. van Geert, P. (2003). Dynamic systems approaches and modeling of developmental processes. In J. Valsiner & K. J. Conolly (Eds.). Handbook of developmental psychology (pp. 640-672). London: Sage.
128. van Geert, P. (2008). Complex dynamic systems of development. In R. A. Meyers (Ed.), Encyclopedia of complexity and system science, Vol. 2: Applications of physics and mathematics to social science (pp. 1872-1912). New York, NY: Springer.
129. van Geert, P. (2009). Nonlinear complex dynamic systems in developmental psychology. In S. J. Guastello, M. Koopmans, & D. Pincus (Eds.). Chaos and complexity in psychology: The theory of nonlinear dynamical systems (pp. 242-281). Cambridge, UK: Cambridge University Press
130. van Geert, P., & Steenbeek, H. & Van Dijk, M. (2013). A dynamic network model of talent and excellence across the lifespan. (Manuscript submitted for publication.)
131. van Geert, P. & Steenbeek, H. (2005). Explaining after by before; basic aspects of a dynamic systems approach to the study of development. Developmental Review, 25, 408-422
132. van Geert, P. & Steenbeek, H. (2006). The dynamics of scaffolding. New Ideas in Psychology, 23, 115-128.
133. van Geert, P. & van Dijk, M. (2002). Focus on variability; new tools to study intraindividual variability in developmental data. Infant Behavior and Development, 25, 340-374.
134. Vosniadou, S. (2007). Conceptual change and education. Human Development, 50, 47- 54.
135. Walton, E. J. & Wood, R. E. (1992). Self-regulation in organisational psychology. Applied Psychology: An International Review, 41, 154-159.
136. Watt, H. M. G., & Richardson, P. W. (2008). Motivation for teaching. Learning and Instruction, 18, 405-407.
137. Watt, H. M. G., & Richardson, P. W. (2008). Motivations, perceptions, and aspirations concerning teaching as a career for different types of beginning teachers. Learning and Instruction, 18, 408-428.
138. Wehmeyer, M. L., Yeager, D., Bolding, N., Agran, M., & Hughes, C. (2003). The effects of self-regulation strategies on goal attainment for students with developmental disabilities in general education classrooms. Journal of Developmental and Physical Disabilities, 15, 79-91.
139. Weisstein, E. W. (1999). CRC concise encyclopedia of mathematics. Boca Raton, FL: CRC Press.
140. Westermann, G., M. D., Johnson, M. H., Sirois, S., Spratling, M. W., & Thomas, M. S. C. (2007). Neuroconstructivism. Developmental Science, 10, 75-83.
141. Wigfield, A., & Cambria, J. (2010). Students' achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes. Developmental Review, 30, 1-35.
142. Woolfolk, A. (2008). What motivates teachers? Important work on a complex question. Learning and Instruction, 18, 492-498.
143. Wortham, S. (2001). Interactionally situated cognition: A classroom example. New York, NY: Cambridge University Press.
144. Yun-Dai, D. & Sternberg, R. J. (2004). Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development. Mahwah, NJ: Lawrence Erlbaum Associates.
145. Zimmerman, B. J. (2008). Goal setting: A key proactive source of academic selfregulation. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and selfregulated learning: Theory, research, and applications (pp. 267-295). Mahwah, NJ: Lawrence Erlbaum Associates.
146. Zimmerman, B. J. (2001). Reflections on theories of self-regulated learning and academic achievement. In B. J. Zimmerman, & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed.) (pp. 289-307). Mahwah, NJ: Lawrence Erlbaum Associates.