User menu

The growth trend in learning strategies during the transition from secondary to higher education in Flanders

Bibliographic reference Coertjens, Liesje ; Donche, Vincent ; De Maeyer, Sven ; van Daal, Tine ; Van Petegem, Peter. The growth trend in learning strategies during the transition from secondary to higher education in Flanders. In: Higher Education : the international journal of higher education and educational planning, Vol. 73, no.3, p. 499-518 (2017)
Permanent URL
  1. Bollen Kenneth A., Structural Equations with Latent Variables : Bollen/Structural Equations with Latent Variables, ISBN:9781118619179, 10.1002/9781118619179
  2. Bollen, K. A., & Curran, P. J. (2006). Latent curve models: a structural equation approach. Hoboken, NJ: Wiley.
  3. Busato Vittorio V., Prins Frans J., Elshout Jan J., Hamaker Christiaan, Learning styles: a cross-sectional and longitudinal study in higher education, 10.1111/j.2044-8279.1998.tb01302.x
  4. Byrne, B. M. (2010). Structural equation modeling with AMOS. New York, NY: Routledge.
  5. Christie Hazel, Tett Lyn, Cree Vivienne E., Hounsell Jenny, McCune Velda, ‘A real rollercoaster of confidence and emotions’: learning to be a university student, 10.1080/03075070802373040
  6. Cliff Alan F., Dissonance in first-year students’ reflections on their learning, 10.1007/bf03173166
  7. Coertjens Liesje, Donche Vincent, De Maeyer Sven, Vanthournout Gert, Van Petegem Peter, Modeling Change in Learning Strategies throughout Higher Education: A Multi-Indicator Latent Growth Perspective, 10.1371/journal.pone.0067854
  8. Cortina Jose M., What is coefficient alpha? An examination of theory and applications., 10.1037/0021-9010.78.1.98
  9. Cree Viviene, Hounsell Jenny, Christie Hazel, McCune Velda, Tett Lyn, From Further Education to Higher Education: Social Work Students' Experiences of Transition to an Ancient, Research‐Led University, 10.1080/02615470902736741
  10. Donche, V., & Van Petegem, P. (2008). Variability and consistency of learning patterns in teacher education. In E. Cools, H. Van den Broeck, C. Evans, & T. Redmond (Eds.), Style and cultural differences: how can organisations, regions and countries take advantages of style differences (pp. 65–74). Gent: Vlerick Leuven Gent management school.
  11. Duncan, T., Duncan, S., & Strycker, L. (2006). An introduction to latent variable growth curve modeling. Concepts, issues and applications. London: Erlbaum.
  12. Grimm Kevin J., Ram Nilam, Nonlinear Growth Models in Mplusand SAS, 10.1080/10705510903206055
  13. Hogeronderwijsadministratie (2008). Studiesucces generatiestudenten 2007–2008 [Study success of generation students 2007–2008].
  14. Hultberg John, Plos Kaety, Hendry Graham D., Kjellgren Karin I., Scaffolding students' transition to higher education: parallel introductory courses for students and teachers, 10.1080/03098770701781440
  15. Jung Tony, Wickrama K. A. S., An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling, 10.1111/j.1751-9004.2007.00054.x
  16. Kim Su-Young, Kim Jee-Seon, Investigating Stage-Sequential Growth Mixture Models with Multiphase Longitudinal Data, 10.1080/10705511.2012.659632
  17. Lindblom-Ylänne Sari, Lonka Kirsti, Individual ways of interacting with the learning environment — are they related to study success?, 10.1016/s0959-4752(98)00025-5
  18. Mäkinen Jarkko, Olkinuora Erkki, Lonka Kirsti, Students at risk: Students' general study orientations and abandoning/prolonging the course of studies, 10.1023/b:high.0000034312.79289.ab
  19. Marambe, K. (2007). Patterns of student learning in medical education—a Sri Lankan study in a traditional curriculum. Unpublished doctoral dissertation. Maastricht: University of Maastricht.
  20. Muthén LK, & Muthén BO (2010). Growth modeling with latent variable using Mplus: Advanced growth models, survival analysis and missing data. Mplus Short Courses.
  21. OECD (2013). Education at a glance: OECD indicators.
  22. Phan Huy P., Deep Processing Strategies and Critical Thinking: Developmental Trajectories Using Latent Growth Analyses, 10.1080/00220671003739382
  23. Richardson John T.E., Research issues in evaluating learning pattern development in higher education, 10.1016/j.stueduc.2012.11.003
  24. Segers Mien, Nijhuis Jan, Gijselaers Wim, Redesigning a learning and assessment environment: The influence on students' perceptions of assessment demands and their learning strategies, 10.1016/j.stueduc.2006.08.004
  25. Severiens Sabine, Ten Dam Geert, Van Hout Wolters Bernadette, 10.1023/a:1012227619770
  26. Smith Lorraine, Saini Bandana, Krass Ines, Chen Timothy, Bosnic-Anticevich Sinthia, Sainsbury Erica, Pharmacy Students' Approaches to Learning in an Australian University, 10.5688/aj7106120
  27. TOOTH D., TONGE K., McMANUS I. C., Anxiety and study methods in preclinical students: causal relation to examination performance, 10.1111/j.1365-2923.1989.tb00896.x
  28. Torenbeek Marjolein, Jansen Ellen, Hofman Adriaan, The effect of the fit between secondary and university education on first‐year student achievement, 10.1080/03075070903222625
  29. Vanthournout, G. (2011). Patterns in student learning: exploring a person-oriented and longitudinal research-perspective (Institute for Education and Information Sciences). Antwerp: Garant.
  30. Vanthournout, G., Donche, V., Gijbels, D., & Van Petegem, P. (2011). Further understanding learning in higher education: a systematic review on longitudinal research using Vermunt’s learning pattern model. In S. Rayner & E. Cools (Eds.), Style differences in cognition, learning and management: theory, research and practice (pp. 78–96). London: Routledge.
  31. Vanthournout Gert, Gijbels David, Coertjens Liesje, Donche Vincent, Van Petegem Peter, Students' Persistence and Academic Success in a First-Year Professional Bachelor Program: The Influence of Students' Learning Strategies and Academic Motivation, 10.1155/2012/152747
  32. Vermunt Jan D., Relations between student learning patterns and personal and contextual factors and academic performance, 10.1007/s10734-004-6664-2
  33. Vermunt Jan, Minnaert Alexander, Dissonance in Student Learning Patterns: When to revise theory?, 10.1080/03075070309301
  34. Vermunt Jan D., Vermetten Yvonne J., Patterns in Student Learning: Relationships Between Learning Strategies, Conceptions of Learning, and Learning Orientations, 10.1007/s10648-004-0005-y
  35. Wang Jichuan, Wang Xiaoqian, Structural Equation Modeling : Applications Using Mplus, ISBN:9781118356258, 10.1002/9781118356258
  36. Wothke, W. (2000). Longitudinal and multigroup modeling with missing data. In T. D. Little, K. U. Schnabel, & J. Baumert (Eds.), Modeling longitudinal and multilevel data. Practical issues, applied approaches, and specific examples. Mahwah, NJ: Lawrence Erlbaum Associates.
  37. Wu Amery D., Liu Yan, Gadermann Anne M., Zumbo Bruno D., Multiple-Indicator Multilevel Growth Model: A Solution to Multiple Methodological Challenges in Longitudinal Studies, 10.1007/s11205-009-9496-8