Using heuristic worked examples to promote inquiry-based learning

Learning and Instruction

Volumn 29, Issue , 2014, Pages 56-64

  Mulder, Yvonne G ^a   Lazonder, Ard W ^a   De Jong, Ton ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Inquiry learning; Model progression; Model based learning; Worked examples

Indexed keywords

EID: 84884296487     PISSN: 09594752     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.learninstruc.2013.08.001     Document Type: Article

References (40)

1. Alessi S. Dynamic versus static fidelity in a procedural simulation. Paper presented at the annual meeting of the American Educational Research Association, San Francisco 1995.
2. Alfieri L., Brooks P.J., Aldrich N.J., Tenenbaum H.R. Does discovery-based instruction enhance learning?. Journal of Educational Psychology 2011, 103:1-18. 10.1037/a0021017.
3. Anjewierden A. Explorations in fine-grained learning analytics 2012, Unpublished PhD thesis, University of Twente, Enschede, The Netherlands.
4. Atkinson R.K., Derry S.J., Renkl A., Wortham D. Learning from examples: instructional principles from the worked examples research. Review of Educational Research 2000, 70:181-214. 10.3102/00346543070002181.
5. Atkinson R.K., Renkl A., Merrill M.M. Transitioning from studying examples to solving problems: effects of self-explanation prompts and fading worked-out steps. Journal of Educational Psychology 2003, 95:774-783. 10.1037/0022-0663.95.4.774.
6. Basu S., Dickes A., Kinnebrew J.S., Sengupta P., Biswas G. CTSiM: a computational thinking environment for learning science through simulation and modeling. Proceedings of the 5th International Conference on Computer Supported Education 2013, 369-378. (Aachen, Germany).
7. Chen Z., Klahr D. All other things being equal: children's acquisition of the control of variables strategy. Child Development 1999, 70:1098-1120.
8. Chi M.T.H., Bassok M., Lewis M.W., Reimann P., Glaser R. Self-explanations: how students study and use examples in learning to solve problems. Cognitive Science 1989, 13:145-182. 10.1207/s15516709cog1302_1.
9. Eseryel D., Law V. Promoting learning in complex systems: effect of question prompts versus system dynamics model progressions as a cognitive-regulation scaffold in a simulation-based inquiry-learning environment. Paper presented at the 9th international conferences of the learning sciences, Chicago, IL 2010.
10. van Gog T., Paas F., van Merriënboer J.J.G. Effects of studying sequences of process-oriented and product-oriented worked examples on troubleshooting transfer efficiency. Learning and Instruction 2008, 18:211-222. 10.1016/j.learninstruc.2007.03.003.
11. Hilbert T.S., Renkl A. Learning how to use a computer-based concept-mapping tool: self-explaining examples helps. Computers in Human Behavior 2009, 25:267-274. 10.1016/j.chb.2008.12.006.
12. Hilbert T.S., Renkl A., Kessler S., Reiss K. Learning to prove in geometry: learning from heuristic examples and how it can be supported. Learning and Instruction 2008, 18:54-65. 10.1016/j.learninstruc.2006.10.008.
13. Hogan K., Thomas D. Cognitive comparisons of students' systems modeling in ecology. Journal of Science Education and Technology 2001, 10:319-345. 10.1023/A:1012243102249.
14. Hübner S., Nückles M., Renkl A. Writing learning journals: instructional support to overcome learning-strategy deficits. Learning and Instruction 2010, 20:18-29. 10.1016/j.learninstruc.2008.12.001.
15. de Jong T., van Joolingen W.R. Scientific discovery learning with computer simulations of conceptual domains. Review of Educational Research 1998, 68:179-201. 10.3102/00346543068002179.
16. van Joolingen W.R., de Jong T., Lazonder A.W., Savelsbergh E.R., Manlove S. Co-Lab: research and development of an online learning environment for collaborative scientific discovery learning. Computers in Human Behavior 2005, 21:671-688. 10.1016/j.chb.2004.10.039.
17. de Jong T., Martin E., Zamarro J.M., Esquembre F., Swaak J., van Joolingen W.R. The integration of computer simulation and learning support: an example from the physics domain of collisions. Journal of Research in Science Teaching 1999, 36:597-615. 10.1002/(SICI)1098-2736(199905)36:5<597::AID-TEA6>3.0.CO;2-6.
18. Klahr D., Dunbar K. Dual space search during scientific reasoning. Cognitive Science 1988, 12:1-48. 10.1207/s15516709cog1201_1.
19. Lewis D., Barron A. Animated demonstrations: evidence of improved performance efficiency and the worked example effect. Paper presented at the 1st international conference on human centered design, San Diego, CA 2009.
20. Lusk M.M., Atkinson R.K. Animated pedagogical agents: does their degree of embodiment impact learning from static or animated worked examples?. Applied Cognitive Psychology 2007, 21:747-764. 10.1002/acp.1347.
21. Mackinnon D.P. Introduction to statistical mediation analysis 2008, Erlbaum, Mahwah, NJ.
22. Manlove S., Lazonder A.W., Jong T.d Trends and issues of regulative support use during inquiry learning: patterns from three studies. Computers in Human Behavior 2009, 25:795-803. 10.1016/j.chb.2008.07.010.
23. Minner D.D., Levy A.J., Century J. Inquiry-based science instruction-what is it and does it matter? Results from a research synthesis years 1984 to 2002. Journal of Research in Science Teaching 2010, 47:474-496. 10.1002/tea.20347.
24. Moreno R., Reisslein M., Ozogul G. Optimizing worked-example instruction in electrical engineering: the role of fading and feedback during problem-solving practice. Journal of Engineering Education 2009, 98(1):83-92. 10.1002/j.2168-9830.2009.tb01007.x.
25. Mulder Y.G., Lazonder A.W., de Jong T. Finding out how they find it out: an empirical analysis of inquiry learners' need for support. International Journal of Science Education 2010, 32:2033-2053. 10.1080/09500690903289993.
26. Mulder Y.G., Lazonder A.W., de Jong T. Comparing two types of model progression in an inquiry learning environment with modelling facilities. Learning and Instruction 2011, 21:614-624. 10.1016/j.learninstruc.2011.01.003.
27. Mulder Y.G., Lazonder A.W., de Jong T., Anjewierden A., Bollen L. Validating and optimizing the effects of model progression in simulation-based inquiry learning. Journal of Science Education and Technology 2012, Advance online publication. 10.1007/s10956-011-9360-x.
28. Quinn J., Alessi S. The effects of simulation complexity and hypothesis-generation strategy on learning. Journal of Research on Computing in Education 1994, 27:75-91.
29. Quintana C., Reiser B.J., Davis E.A., Krajcik J., Fretz E., Duncan R.G., Soloway E. Ascaffolding design framework for software to support science inquiry. The Journal of the Learning Sciences 2004, 13:337-386.
30. Renkl A., Hilbert T., Schworm S. Example-based learning in heuristic domains: a cognitive load theory account. Educational Psychology Review 2009, 21:67-78. 10.1007/s10648-008-9093-4.
31. Rieber L.P., Parmley M.W. To teach or not to teach? Comparing the use of computer-based simulations in deductive versus inductive approaches to learning with adults in science. Journal of Educational Computing Research 1995, 13:359-374. 10.2190/M8VX-68BC-1TU2-B6DV.
32. Roscoe R.D., Segedy J.R., Sulcer B., Jeong H., Biswas G. Shallow strategy development in a teachable agent environment designed to support self-regulated learning. Computers & Education 2013, 62:286-297. 10.1016/j.compedu.2012.11.008.
33. Rummel N., Spada H., Hauser S. Learning to collaborate while beingscripted or by observing a model. International Journal of Computer-Supported Collaborative Learning 2009, 4:69-92. 10.1007/s11412-008-9054-4.
34. Stratford S.J., Krajcik J., Soloway E. Secondary students' dynamic modeling processes: analyzing, reasoning about, synthesizing, and testing models of stream ecosystems. Journal of Science Education and Technology 1998, 7:215. 10.1023/A:1021840407112.
35. Swaak J., van Joolingen W.R., de Jong T. Supporting simulation-based learning; the effects of model progression and assignments on definitional and intuitive knowledge. Learning and Instruction 1998, 8:235-252. 10.1016/s0959-4752(98)00018-8.
36. Sweller J., Ayres P., Kalyuga S. Cognitive load theory: Explorations in the learning sciences, instructional systems and performance technologies 2011, Springer, New York, NY.
37. Sweller J., Cooper G.A. The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction 1985, 2:59-89.
38. VanLehn K. Model construction as a learning activity: a design space and review. Interactive Learning Environments 2013, 21:371-413. 10.1080/10494820.2013.803125.
39. White B.Y., Frederiksen J.R. Causal model progressions as a foundation for intelligent learning environments. Artificial Intelligence 1990, 42:99-157. 10.1016/0004-3702(90)90095-h.
40. White B.Y., Shimoda T.A., Frederiksen J.R. Enabling students to construct theories of collaborative inquiry and reflective learning: computer support for metacognitive development. International Journal of Artificial Intelligence in Education 1999, 10:151-182.