Experimental and Quasi-Experimental Approaches to the Study of New Literacies

Handbook of Research on New Literacies

Volumn , Issue , 2014, Pages 179-205

  Kulikowich, Jonna M ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84890151548     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4324/9781410618894-9     Document Type: Chapter

References (82)

1. Ainsworth, S. (1999). The functions of multiple representations. Computers and Education, 33, 131-152.
2. Ainsworth, S., Bibby, P., and Wood, D. (2002). Examining the effects of different multiple representational systems in learning primary mathematics. The Journal of the Learning Sciences, 11(1), 25-6.
3. Alexander, P. A., and Judy, J. E. (1988). The interaction of domain-specific and strategic knowledge in academic performance. Review of Educational Research, 58, 375-404.
4. Alexander, P. A., Kulikowich, J. M., and Jetton, T. L. (1995). The role of subject-matter knowledge and interest in the processing of linear and nonlinear texts. Review of Educational Research, 64, 201-252.
5. Allenby, B. (2001). Earth systems engineering and management. IEEE Technology and Society Magazine, 19(4), 10-21.
6. Allenby, B. (2004). Technology at the global scale: Integrative cognitivism and earth systems engineering and management. In M. E. Gorman, R. D. Tweney, D. C. Gooding, and A. P. Kincannon (Eds.), Scientific and technological thinking (pp. 303-343). Mahwah, NJ:Lawrence Erlbaum Associates.
7. Althaus, S. (1997). Computer-mediated communication in the university classroom: An experiment with on-line discussions. Communication Education, 46, 158-174.
8. Angleli, C., and Cunningham, D. J. (1998). Bubble dialogue: Tools for supporting literacy and mind. In C. J. Bonk and K. S. King (Eds.), Electronic collaborations: Learner-centered technologies for literacy, apprenticeship, and discourse (pp. 81-101). Mahwah, NJ:Lawrence Erlbaum Associates.
9. Azevedo, R., and Cromley, J. G. (2004). Does training on self-regulated learning facilitate students’ learning with hypermedia? Journal of Educational Psychology, 96(3), 523-535.
10. Azevedo, R., Cromley, J. G., and Seibert, D. (2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29, 344-370.
11. Barab, S. A., Hay, K. E., Barnett, M., and Squire, K. (2001). Constructing virtual worlds: Tracing the historical development of learner practices. Cognition and Instruction, 19(1), 47-94.
12. Barron, B. (2000). Achieving coordination in collaborative problem-solving groups. The Journal of the Learning Sciences, 9(4), 403-436.
13. Beck, I. L., McKeown, M. G., and Omanson, R. C. (1987). The effects and uses of diverse vocabulary instructional techniques. In M. G. McKeown and M. E. Curtis (Eds.), The nature of vocabulary acquisition (pp. 147-183). Hillsdale, NJ: Lawrence Erlbaum Associates.
14. Beck, I. L., Perfetti, C. A., and McKeown, M. G. (1982). Effects of long-term vocabulary instruction on lexical access and reading comprehension. Journal of Educational Psychology, 74, 506-521.
15. Beretvas, S. N. (2004). Using hierarchical linear modeling for literacy research under No Child Left Behind. Reading Research Quarterly, 39(1), 95-99.
16. Braten, I., Stromso, H. I., and Samuelstuen, M. S. (2005). The relationship between Internetspecific epistemological beliefs and learning with Internet technologies. Journal of Educational Computing Research, 33(2), 141-171.
17. Campbell, D. T., and Stanley, J. C. (1966). Experimental and quasi-experimental designs for research. Chicago: Rand McNally.
18. Chi, M. T. H., Feltovich, P. J., and Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121-152.
19. Cognition and Technology Group at Vanderbilt (CTGV). (1990). Anchored instruction and its relationship to situated cognition. Educational Researcher, 19(6), 2-10.
20. Cognition and Technology Group at Vanderbilt (CTGV). (1997). The Jasper project: Lessons in curriculum, instruction, assessment, and professional development. Mahwah, NJ:Lawrence Erlbaum Associates.
21. Cook, T. D., and Campbell, D. T. (1979). Quasi-experimentation: Design and analysis for field settings. Chicago: Rand McNally.
22. Cronbach, L. J. (1982). Designing evaluations of educational and social programs. San Francisco:Jossey-Bass.
23. Davis, E. A. (2003). Prompting middle school science students for productive reflection:Generic and directed prompts. The Journal of the Learning Sciences, 12(1), 91-142.
24. Foltz, P. W., Kintsch, W., and Landauer, T. K. (1998). The measurement of textual coherence with latent semantic analysis. Discourse Processes, 25, 285-307.
25. Francis, D. J., Shaywitz, S. E., Stuebing, K. K., Shaywitz, B. A., and Fletcher, J. M. (1996).Developmental lag versus deficit models of reading disability: A longitudinal, individual growth curves analysis. Journal of Educational Psychology, 88(1), 3-17.
26. Embretson, S. E., and Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum Associates.
27. Garner, R., Alexander, P. A., Gillingham, M. G., Kulikowich, J. M., and Brown, R. (1991). Interest and learning from text. American Educational Research Journal, 28, 643-659.
28. Gibson, J. J. (1979). The ecological approach to visual perception. New York: Berkeley Publications Group.
29. Glass, G. V. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5, 3-8.
30. Glass, G. V., and Hopkins, K. D. (1996). Statistical methods in education and psychology (3rd ed.). Boston: Allyn and Bacon.
31. Glenberg, A. M., Gutierrez, T., Levin, J. R., Japuntich, S., and Kaschak, M. P. (2004). Activity and imagined activity can enhance young children’s reading comprehension. Journal of Educational Psychology, 96(3), 424-436.
32. Goldman, S. R., Wiley, J., and Graesser, A. C. (2005, April). Learning in a knowledge society:Constructing meaning from multiple information sources. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
33. Gorman, M. E. (2005). Levels of expertise and trading zones: Combining cognitive and social approaches to technology studies. In M. E. Gorman, R. D. Tweney, D. C. Gooding, and A. P. Kincannon (Eds.), Scientific and technological thinking (pp. 287-302). Mahwah, NJ: Lawrence Erlbaum Associates.
34. Jacobson, M. J., and Archodidou, A. (2000). The design of hypermedia tools for learning:Fostering conceptual change and transfer of complex scientific knowledge. The Journal of the Learning Sciences, 9, 145-199.
35. Jacobson, M. J. (1994). Issues in hypertext and hypermedia research: Toward a framework for linking theory-to-design. Journal of Educational Multimedia and Hypermedia, 3(2), 141-154.
36. Jacobson, M. J., Maouri, C., Mishra, P., and Kolar, C. (1996). Learning with hypertext learning environments: Theory, design, and research. Journal of Educational Multimedia and Hypermedia, 5(3, 4), 239-281.
37. Kintsch, W., and van Dijk, T. A. (1978). Toward a model of text comprehension and production. Psychological Review, 85, 363-394.
38. Kulikowich, J. M. (2005). Educational psychology: Measuring change over time. In B. S. Everitt and D. C. Howell (Eds.), Encyclopedia of statistics in behavioral science (pp. 527-532). Chichester, U.K.: John Wiley and Sons, Ltd.
39. Lawless, K. A., Mills, R., and Brown, S. W. (2002). Children’s hypermedia navigational strategies. Journal of Research on Computing in Education, 34, 274-284.
40. Leander, K. M. (2003). Writing travelers’ tales on new literacyscapes. Reading Research Quarterly, 38(3), 392-397.
41. Leu, D. J., Jr., Castek, J., Hartman, D. K., Coiro, J., Henry, L. A., Kulikowich, J. M., et al. (2005, June). Evaluating the development of scientific knowledge and new forms of reading comprehension during online learning. Paper presented at the annual meeting of the North Central Regional Educational Laboratory/Learning Points Associates, Chicago, IL.
42. Leu, D. J., Jr., Kinzer, C. K., Coiro, J., and Cammack, D. (2004). Toward a theory of new literacies emerging from the Internet and other information and communication technologies. In R. B. Ruddell and N. Unrau (Eds.), Theoretical models and processes of reading (5th ed., pp. 1568-1611). Newark, DE: International Reading Association.
43. Linn, M. C. (1992). The computer as learning partner: Can computer tools teach science? In K. Sheingold, L. G. Roberts, and S. M. Malcolm (Eds.), Technology for teaching and learning. Washington, DC: American Association for the Advancement of Science.
44. Linn, M. C., Bell, P., and Hsi, S. (2001). Lifelong science learning on the Internet: The knowledge integration environment. Interactive Learning Environments., 6, 4-38.
45. Linn, M. C., Davis, E. A., and Bell, P. (2004). Inquiry and technology. In M. C. Linn, E. A.Davis, and P. Bell (Eds.), Internet environments for science education (pp. 3-27). Mahwah, NJ: Lawrence Erlbaum Associates.
46. Lorch, R. F., Jr. (1989). Text-signaling devices and their effects on reading and memory processes. Educational Psychology Review, 1, 209-234.
47. Lorch, R. F., Jr., and Pugzles Lorch, E. (1996). Effects of organizational signals on free recall of expository text. Journal of Educational Psychology, 88(1), 38-48.
48. Lomax, R. G. (2004). Whither the future of quantitative literacy research? Reading Research Quarterly, 39(1), 107-112.
49. Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions? Educational Psychologist, 32, 1-19.
50. Mayer, R. E. (2001). Multimedia learning. New York: Cambridge University Press.
51. Mayer, R. E. (2003). Learning environments: The case for evidence-based practice and issuedriven research. Educational Psychology Review, 15(4), 359-366.
52. Mayer, R. E., Mautone, P. D., and Prothero, W. (2002). Pictorial aids for learning by doing in a multimedia geology simulation game. Journal of Educational Psychology, 94, 171-185.
53. Mayer, R. E., Moreno, R., Boire, M., and Vagge, S. (1999). Maximizing constructivist learning from multimedia communications by minimizing cognitive load. Journal of Educational Psychology, 91, 638-643.
54. Media and Online Literacy Studies (2003). Reading Research Quarterly, 38 (3), 386-413.
55. McNamara, D. S., and Kintsch, W. (1996). Learning from text: Effect of prior knowledge and text coherence. Discourse Processes, 22, 247-288.
56. McNamara, D. S., Kintsch, E., Songer, N., and Kintsch, W. (1996). Are good texts always better? Interaction of text coherence, background knowledge, and levels of understanding in learning from text. Cognition and Instruction, 14, 1-42.
57. Moerbeek, M. (2004). The consequence of ignoring a level of nesting in multilevel analysis. Multivariate Behavioral Research, 39, 129-149.
58. Moreno, R., and Mayer, R. E. (1999). Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology, 91, 358-368.
59. Moreno, R., and Mayer, R. E. (2002). Learning science in virtual reality multimedia environments:Role of methods and media. Journal of Educational Psychology, 94, 598-610.
60. Niederhauser, D. S., Reynolds, R. E., Salmen, D. J., and Skolmoski, P. (2000). The influence of cognitive load on learning from hypertext. Journal of Educational Computing Research, 23, 237-255.
61. Nixon, H. (2003). New research literacies for contemporary research into literacy and new media? Reading Research Quarterly, 38(3), 407-413.
62. Paivio, A. (1986). Mental representation: A dual coding approach. Oxford, U.K.: Oxford University Press.
63. Palincsar, A. S., and Brown, A. L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and Instruction, 2, 117-175.
64. Pressley, M., Wharton-McDonald, R., Hampson, J. M., and Echevarria, M. (1998). The nature of literacy instruction in ten grade-4/5 classrooms in upstate New York. Scientific Studies of Reading, 2, 159-194.
65. Puntambekar, S., Stylianou, A., and Hubscher, R. (2003). Improving navigation and learning in hypertext environments with navigable concept maps. Human-Computer Interaction, 18, 395-428.
66. Raudenbush, S. W., and Bryk, A. S. (2002). Hierarchical linear models. London: Sage.
67. Roschelle, J. (1992). Learning by collaborating: Convergent conceptual change. Journal of the Learning Sciences, 2, 235-276.
68. Salmerón, L., Cañas, J. J., Kintsch, W., and Fajardo, I. (2005). Reading strategies and hypertext comprehension. Discourse Processes, 40(3), 171-191.
69. Singer, J. D. (1998). Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics, 24(4), 323-355.
70. Slotta, J. D. (2004). The Web-based Inquiry Science Environment (WISE): Scaffolding knowledge integration in the science classroom. In M. C. Linn, E. A. Davis, and P. Bell (Eds.), Internet environments for science education (pp. 203-231). Mahwah, NJ: Lawrence Erlbaum Associates.
71. Slotta, J. D., and Chi, M. T. H. (2006). Helping students understand challenging topics in science through ontology training. Cognition and Instruction, 24, 261-289.
72. Slotta, J. D., and Linn, M. C. (2000). The knowledge integration environment: Helping students use the Internet effectively. In M. J. Jacobson and R. B. Kozma (Eds.), Innovations in science and mathematics education (pp. 193-226). Mahwah, NJ: Lawrence Erlbaum Associates.
73. Spiro, R. J., Feltovich, P. J., Jacobson, M. J., and Coulson, R. L. (1992). Cognitive flexibility, constructivism, and hypertext: Random access instruction for advanced knowledge acquisition in ill-structured domains. In T. M. Duffy and D. H. Jonassen (Eds.), Constructivism and the technology of instruction: A conversation (pp. 57-75). Hillsdale, NJ: Lawrence Erlbaum Associates.
74. Spiro, R. J., and Jehng, J. C. (1990). Cognitive flexibility and hypertext: Theory and technology for the nonlinear and multidimensional traversal of complex subject matter. In D. Nix and R. Spiro (Eds.), Cognition, education, and multimedia (pp. 163-205). Hillsdale, NJ: Lawrence Erlbaum Associates.
75. Walker, K. (2000). “It’s difficult to hide it”: The presentation of self on Internet home pages. Qualitative Sociology, 23(1), 99-120.
76. Whitehurst, G. J., Zevenbergen, A. A., Crone, D. A., Schultz, M. D., Velting, O. N., and Fischel, J. E. (1999). Outcomes of an emergent literacy intervention from Head Start through second grade. Journal of Educational Psychology, 91(2), 261-272.
77. Winne, P. H., and Stockley, D. (1998). Computing technologies as sites for developing self-regulated learning. In D. Schunk and B. Zimmerman (Eds.), Self-regulated learning: From teaching to self-reflective practice (pp. 106-136). New York: Guilford Press.
78. Wittrock, M. C. (1990). Generative processes in reading comprehension. Educational Psychologist, 24, 345-376.
79. Woloshyn, V. E., Pressley, M., and Schneider, W. (1992). Elaborative interrogation and prior knowledge effects of learning facts. Journal of Educational Psychology, 82, 115-124.
80. Wu, D., and Hiltz, S. R. (2004). Predicting learning from asynchronous online discussions. Journal of Asynchronous Learning Networks, 8, 139-152.
81. Young, M. F. (1993). Instructional design for situated learning. Educational Technology Research and Development, 41, 43-58.
82. Young, M. F., Kulikowich, J. M., and Barab, S. A. (1997). The unit of analysis for situated assessment. Instructional Science, 25, 133-150.