Adventure Learning

References

• Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84(3), 261–27.
   Web of Science ®Google Scholar
• Azevedo, R. (2009). Theoretical, methodological, and analytical challenges in the research on metacognition and self-regulation: A commentary. Metacognition & Learning, 4(1), 87–95.
   Web of Science ®Google Scholar
• Azevedo, R., & Witherspoon, A. M. (2009). Self-regulated learning with hypermedia. In D.J. Hacker, J. Dunlcsky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 319–339). Mahwah, NJ: Routledge.
   Google Scholar
• Azevedo, R., Cromley, J. G., & Seibert, D. (2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29, 344–370.
   Web of Science ®Google Scholar
• Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.) (1999). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.
   Google Scholar
• Brophy, J. (2004). Motivating students to learn (2nd ed.). Mahwah, NJ: Erlbaum.
   Google Scholar
• Bruner, J. S. (1961). The act of discovery. Harvard Educational Review, 31(1), 21–32.
   Web of Science ®Google Scholar
• Deci, E., & Ryan, R. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.
   Google Scholar
• Deci, E., & Ryan, R. (2008). Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology, 49, 14–23.
   Web of Science ®Google Scholar
• Dewey, J. (1938). Experience and education. New York: Collier.
   Google Scholar
• Doering, A. (2006). Adventure learning: Transformative hybrid online education. Distance Education, 27(2) 197–215.
   Google Scholar
• Doering, A., & Veletsianos, G. (2008). Hybrid online education: Identifying integration models using adventure learning. Journal of Research on Technology in Education, 41(1), 23–41.
   Google Scholar
• Eccles, J. S., Wigfield, A., & Schiefele, U. (1998). Motivation to succeed. In N. Eisenberg (Ed.), Handbook of child psychology: Volume 3: Social, emotional, and personality development (5th ed., pp. 1017–1095). New York: Wiley.
   Google Scholar
• Edelson, D. C., Gordin, D. N., & Pea, R. D. (1999). Addressing the challenges of inquiry-based learning through technology and curriculum design. Journal of the Learning Sciences, 8(3&4), 391–450.
   Web of Science ®Google Scholar
• Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th ed.). Boston: McGraw-Hill.
   Google Scholar
• Gerjets, P., Scheiter, K., & Catrambone, R. (2006). Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting selfexplanations? Learning and Instruction, 16, 104–121.
   Web of Science ®Google Scholar
• Glasser, B. G. (1978). Theoretical sensitivity. Mill Valley, CA: Sociology Press.
   Google Scholar
• Glesne, C. (2006). Becoming qualitative researchers: An introduction (3rd ed.). Boston: Pearson Education, Inc.
   Google Scholar
• Greene, J. A., & Azevedo, R. (2009). A macro-level analysis of SRL processes and their relations to the acquisition of sophisticated mental models. Contemporary Educational Psychology, 34, 18–29.
   Web of Science ®Google Scholar
• Greeno, J. G., Collins, A. M., & Resnick, L. B. (1996). Cognition and learning. In D. Berliner, & R. Calfee (Eds.), Handbook of Educational Psychology (pp. 15–41). New York: MacMillian.
   Google Scholar
• Guo, R. X., Dobson, T., & Petrina, S. (2008). Digital natives, digital immigrants: An analysis of age and ICT competencies in teacher education. Journal of Educational Computing Research, 38(3), 235–254.
   Web of Science ®Google Scholar
• Järvelä, S., & Järvenoja, H. (2004). Students’ motivation in technology-supported environments: Aspects of self-regulation and volition. In M. Wosnitza, A. Frey, & R.S. Jäger (Eds.), Lernprozess, Lernumgebung und Lerndiagnostik (pp. 139–149). Landau: Verlag Empirische.
   Google Scholar
• Kester, L., Kirschner, P. A, & van Merriënboer, J. J. G. (2005). The management of cognitive load during complex cognitive skill acquisition by means of computer-simulated problem solving. British Journal of Educational Psychology, 75(1), 71–85.
   PubMed Web of Science ®Google Scholar
• Linnenbrink, E. A., & Pintrich, P. R. (2003). The role of self-efficacy beliefs in student engagement and learning in the classroom. Reading & Writing Quarterly, 19(1), 119–137.
   Google Scholar
• Linn, M. C., di Sessa, A., Pea R. D., & Songer, N. B. (1994). Can research on science learning and instruction inform standards for science education? Journal of Science Education and Technology, 3(1), 7–15.
   Google Scholar
• Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43–52.
   Web of Science ®Google Scholar
• Merriam, S. (1998). Qualitative research and case study applications in education. San Francisco, CA: Jossey-Bass Publishers.
   Google Scholar
• Mezirow, J. (2000). Learning as transformation: Critical perspectives on a theory in progress. San Francisco: Jossey Bass.
   Google Scholar
• Moos, D. C. (2009). Note-taking while learning with hypermedia: Cognitive and motivational considerations. Computers in Human Behavior, 25, 1120–1128.
   Web of Science ®Google Scholar
• Moos, D. C. (2010). Self-regulated learning with hypermedia: Too much of a good thing? Journal of Educational Multimedia and Hypermedia, 19(1), 59–77.
   Google Scholar
• Moos, D. C., & Azevedo, R. (2006). The role of goal structure in undergraduates’ use of selfregulatory variables in two hypermedia learning tasks. Journal of Educational Multimedia and Hypermedia, 15(1), 49–86.
   Google Scholar
• Moos, D.C., & Azevedo, R. (2008a). Exploring the fluctuation of motivation and use of selfregulatory processes during learning with hypermedia. Instructional Science, 36, 203–231.
   Web of Science ®Google Scholar
• Moos, D. C., & Azevedo, R. (2008b). Self-regulated learning with hypermedia: The role of prior domain knowledge. Contemporary Educational Psychology, 33, 270–298.
   Web of Science ®Google Scholar
• Moos, D. C., & Azevedo, R. (2008c). Monitoring, planning, and self-efficacy during learning with hypermedia: The impact of conceptual scaffolds. Computers in Human Behavior, 24(4), 1686–1706.
   Web of Science ®Google Scholar
• Moos, D. C., & Azevedo, R. (2009). Self-efficacy and prior domain knowledge: To what extent does monitoring mediate their relationship with hypermedia? Metacognition and Learning, 4(3), 197–216.
   Web of Science ®Google Scholar
• Moos, D. C., & Marroquin, L. (2010). Multimedia, hypermedia, and hypertext: Motivation considered and reconsidered. Computers in Human Behavior, 26, 265–276.
   Web of Science ®Google Scholar
• Murphy, K. P., & Alexander, P. A. (2000). A motivated exploration of motivation terminology. Contemporary Educational Psychology, 25, 3–53.
   PubMed Web of Science ®Google Scholar
• Niemivirta, M. (1998). Individual differences in motivational and cognitive factors affecting self-regulated learning: a pattern-oriented approach. In P. Nenniger, R.S. Jaëger, A. Frey, & M. Wosnitza (Eds.), Advances in motivation (pp. 23–42). Landau, Germany: Verlag Empirische Paëdagogik.
   Google Scholar
• Paas, F., & van Merriënboer, J. G. (1994). Instructional control of cognitive load in the training of complex cognitive tasks. Educational Psychology Review, 4, 51–71.
   Google Scholar
• Pintrich, P. R. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (MSLQ). Educational and Psychological Measurement, 53(1), 801–812.
   Google Scholar
• Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of Educational Psychology, 95(4), 887–686.
   Web of Science ®Google Scholar
• Pintrich, P., & Schunk, D. (1996). Motivation in education: Theory, research, and applications. Englewood Cliffs. NJ: Prentice-Hall.
   Google Scholar
• Pintrich, P., Smith, D.F., Garcia, T., & McKeachie, W.J. (1991). The manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ) (Tech. Rep. No. 91-B-004). Ann Arbor: University of Michigan, School of Education.
   Google Scholar
• Prensky, M. (2001). Digital natives, digital immigrants. NCB University Press, 9(5), 1–6.
   Google Scholar
• Rao, N., & Sachs, J. (1999). Confirmatory factor analysis of the Chinese version of the Motivated Strategies for Learning Questionnaire. Education and Psychological Measurement, 59(6), 1016–1029.
   Web of Science ®Google Scholar
• Scheiter, K., & Gerjets, P. (2007). Learner control in hypermedia environments. Educational Psychology Review, 19, 285–307
   Web of Science ®Google Scholar
• Swan, M. K., & Behmer J. (1994). Educational instruction via interactive video network. Journal of Agricultural Education, 35(1), 13–20.
   Google Scholar
• Sweller, J. (1988). Cognitive load during problem solving: effects on learning. Cognitive Science, 12, 257–285.
   Web of Science ®Google Scholar
• Sweller, J. (1994). Cognitive load theory, learning difficulty and instructional design. Learning and Instruction, 4, 295–312.
   Google Scholar
• Valas, H., & Solvik, N. (1993). Variables affecting students’ intrinsic motivation for school mathematics: Two empirical studies based on Deci and Ryan’s theory of motivation. Learning and Instruction, 3, 281–298.
   Google Scholar
• van Merriënboer, J. J. G., & Ayres, P. (2005). Research on cognitive load theory and its design implications for e-learning. Educational Technology Research and Development, Special Issue: Research on Cognitive Load Theory and Its Design Implications for E-Learning, 53(3), 5–13.
   Google Scholar
• Vye, N.J., Goldman, S. R., Hmelo, C, Voss, J. F., Williams, S., & Cognition and Technology Group at Vanderbilt. (1998). Complex mathematical problem solving by individuals and dyads. Cognition and Instruction, 15(4), 435–484.
   Web of Science ®Google Scholar
• Weiner, B. (1992). Human motivation: Metaphors, theories, and research. Newbury Park, CA: Sage.
   Google Scholar
• Wigfield, A. L., & Eccles, J. S. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–32.
   PubMed Web of Science ®Google Scholar