Multimedia learning with intelligent tutoring systems

The Cambridge Handbook of Multimedia Learning, Second Edition

Volumn , Issue , 2014, Pages 705-728

  Nye, Benjamin D ^a   Graesser, Arthur C ^a   Hu, Xiangen ^a  

^a UNIVERSITY OF MEMPHIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84947500479     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9781139547369.035     Document Type: Chapter

References (77)

1. Adams, D. M., Mayer, R. E., MacNamara, A., Koenig, A., & Wainess, R. (2012). Narrative games for learning: Testing the discovery and narrative hypotheses. Journal of Educational Psychology,104(1), 235-239
2. Ainsworth, S. (2008). How do animations inl uence learning?. In D. Robinson & G. Schraw (Eds.), Current perspectives on cognition, learning, and instruction: Recent innovations in educational technology that facilitate student learning(pp 37-67). Charlotte, NC: Information Age.
3. Aleven, V., McLaren, B. M., Sewall, J., & Koedinger, K. R. (2009). A new paradigm for intelligent tutoring systems: Example-tracing tutors. International Journal of Artificial Intelligence in Education,19(2), 105-154
4. Aleven, V., Stahl, E., Schworm, S., Fischer, F., & Wallace, R. (2003). Help seeking and help design in interactive learning environments. Review of Educational Research,73(3), 277-320.
5. Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. Journal of the Learning Sciences,4(2), 167-207.
6. Anderson, J. R., & Gluck, K. (2001). What role do cognitive architectures play in intelligent tutoring systems? In D. Klahr & S. M. Carver (Eds.), Cognition & instruction: Twenty-five years of progress(pp. 227-262). Hillsdale, NJ: Lawrence Erlbaum.
7. Arroyo, I., Royer, J. M., & Woolf, B. P. (2011). Using an intelligent tutor and math l uency training to improve math performance. International Journal of Artificial Intelligence in Education,21(1), 135-152.
8. Azevedo, R., et al.(2012). The effectiveness of pedagogical agents’ prompting and feedback in facilitating co-adapted learning with MetaTutor. In S. A. Cerri, & B. Clancey (Eds.), Proceedings of Intelligent Tutoring Systems (ITS) 2012(pp. 256-261). Berlin: Springer.
9. Baker, R. S., Corbett, A. T., Roll, I., & Koedinger, K.R. (2008) Developing a generalizable detector of when students game the system. User Modeling and User-Adapted Interaction,18(3), 287-314.
10. Baker, R. S., D’Mello, S. K., Rodrigo, M. T., & Graesser, A.C. (2010). Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive-affective states during interactions with three different computer-based learning environments. International Journal of Human-Computer Studies,68(2), 223-241.
11. Baker, R. S., Goldstein, A. B., & Heffernan, N. T. (2011). Detecting learning moment-by-moment. International Journal of Artificial Intelligence in Education,21(1), 5-25.
12. Bickmore, T., Schulman, D., & Vardoulakis, L. (in press). Tinker: A relational agent museum guide. Autonomous Agents and Multi-Agent Systems.
13. Biswas, G., Jeong, H., Kinnebrew, J., Sulcer, B., & Roscoe, R. (2010). Measuring selfregulated learning skills through social interactions in a teachable agent environment. Research and Practice in Technology-Enhanced Learning,5 (02), 123-152.
14. Clark, R. C., & Mayer, R. E. (2003). e-Learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. San Francisco: Jossey-Bass.
15. D’Mello, S. K., Dowell, N., & Graesser, A. (2011). Does it really matter whether students’ contributions are spoken versus typed in an intelligent tutoring system with natural language? Journal of Experimental Psychology-Applied,17(1), 1-17.
16. D’Mello, S. K., & Graesser, A. C. (2012). Dynamics of affective states during complex learning. Learning and Instruction,22(2), 145-157.
17. D’Mello, S. K., Lehman, B., Pekrun, R., & Graesser, A.C. (in press). Confusion can be beneificial for learning. Learning and Instruction.
18. D’Mello, S. K., Olney, A., Williams, C., & Hays, P. (2012). Gaze tutor: A gaze-reactive intelligent tutoring system. International Journal of Human-Computer Studies,70 (5), 377-398.
19. Dodds, P., & Fletcher, J. D. (2004). Opportunities for new “smart” learning environments enabled by next-generation web capabilities. Journal of Educational Multimedia and Hypermedia,13(4), 391-404.
20. Fournier-Viger, P., Nkambou, R., & Mayers, A. (2008). Evaluating spatial representations and skills in a simulator-based tutoring system. IEEE Transactions on Learning Technologies,1(1), 63-74.
21. Gong, Y., Beck, J. E., Heffernan, N. T., & Forbes-Summers, E. (2010). The i negrained impact of gaming (?) on learning. In V. Aleven, J. Kay, & J. Mostow (Eds.), Proceedings of Intelligent Tutoring Systems (ITS)2010(pp. 194-203). Berlin: Springer.
22. Graesser, A. C., Chipman, P., Haynes, B., & Olney, A. (2005). AutoTutor: An intelligent tutoring system with mixed-initiative dialogue. IEEE Transactions on Education,48(4), 612-618.
23. Graesser, A. C., Conley, M. W., & Olney, A. (2012). Intelligent tutoring systems. In K. R. Harris, S. Graham, T. Urdan, A. G. Bus, S. Major, & H. L. Swanson (Eds.), APA educational psychology handbook, vol. 3: Application to learning and teaching(pp. 451-473). Washington, DC: American Psychology Association.
24. Graesser, A. C., D’Mello, S. K., Hu, X., Cai, Z., Olney, A., & Morgan, B. (2012). AutoTutor. In P. McCarthy and C. Boonthum-Denecke (Eds.), Applied natural language processing: Identification, investigation, and resolution (pp. 169-187). Hershey, PA: IGI Global.
25. Graesser, A. C., Jeon, M., & Dufty, D. (2008). Agent technologies designed to facilitate interactive knowledge construction. Discourse Processes,45(4-5), 298-322.
26. Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H. H., Ventura, M., Olney, A., & Louwerse, M. M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavior Research Methods, Instruments, and Computers,36(2), 180-192.
27. Graesser, A. C., McNamara, D. S., & VanLehn, K. (2005). Scaffolding deep comprehension strategies through Point&Query, AutoTutor, and iSTART. Educational Psychologist,40(4), 225-234.
28. Graesser, A. C., Moreno, K., Marineau, J., Adcock, A., Olney, A., & Person, N. (2003). AutoTutor improves deep learning of computer literacy: Is it the dialog or the talking head? In U. Hoppe, F. Verdejo, & J. Kay (Eds.), Proceedings of Artificial Intelligence in Education (AIED) 2003(pp. 47-54). Amsterdam: IOS Press.
29. Graesser, A. C., & Person, N. K. (1994). Question asking during tutoring. American Educational Research Journal,31(1), 104-137.
30. Halpern, D. F., Millis, K., Graesser, A. C., Butler, H., Forsyth, C., & Cai, Z. (2012). Operation ARA: A computerized learning game that teaches critical thinking and scientific reasoning. Thinking Skills and Creativity,7(2), 93-100.
31. Hays, M., Lane, H. C., Auerbach, D., Core, M. G., Gomboc, D., & Rosenberg, M. (2009). Feedback specificity and the learning of intercultural communication skills. In V. Dimitrova, R. Mizoguchi, B. DuBoulay, & A. Graesser (Eds.), Proceedings of Artificial Intelligence in Education (AIED) 2009(pp. 391-398). Amsterdam: IOS Press.
32. Heffernan, N. T., Koedinger, K. R., & Razzaq, L. (2008) Expanding the modeltracing architecture: A 3rd generation intelligent tutor for algebra symbolization. International Journal of Artificial Intelligence in Education,18(2), 153-178.
33. Hegarty, M., Kriz, S., & Cate, C. (2003). The roles of mental animations and external animations in understanding mechanical systems. Cognition and Instruction,21(4), 209-249.
34. Hu, X., Craig, S. D., Bargagliotti A. E., Graesser, A. C., Okwumabua, T., Anderson, C., Cheney, K. R., & Sterbinsky, A. (2012). The effects of a traditional and technology-based after-school program on 6th grade students’ mathematics skills. Journal of Computers in Mathematics and Science Teaching,31(1), 17-38.
35. Hu, X., & Graesser, A. C. (2004). Human Use Regulatory Affairs Advisor (HURAA): Learning about research ethics with intelligent learning modules. Behavior Research Methods, Instruments, and Computers,36(2), 241-249.
36. Jackson, G. T., Dempsey, K. B., & McNamara, D. S. (2011). Short and long term benei ts of enjoyment and learning within a serious game. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Proceedings of Artificial Intelligence in Education (AIED) 2011(pp. 139-146). Berlin: Springer.
37. Johnson, W. L. (2010). Serious use of a serious game for language learning. International Journal of Artificial Intelligence in Education,20(2), 175-195.
38. Johnson, W. L., Rickel, J. W., and Lester, J. C. (2000). Animated pedagogical agents: Face-to-face interaction in interactive learning environments. International Journal of Artificial Intelligence in Education,11(1), 47-78.
39. Kalra, N., Lauwers, T., Dewey, D., Stepleton, T., & Dias, M. B. (2009). Design of a Braille writing tutor to combat illiteracy. Information Systems Frontiers,11(2), 117-128.
40. Koedinger, K. R., McLaughlin, E. A., & Heffernan, N. T. (2010). A quasiexperimental evaluation of an on-line formative assessment and tutoring system. Journal of Educational Computing Research,43(4), 489-510.
41. Kopp, K. J., Britt, M. A., Millis, K., & Graesser, A. C. (2012). Improving the efi-ciency of dialogue in tutoring. Learning and Instruction,22(5), 320-330.
42. Landauer, T. K., McNamara, D. S., Dennis, S. E., & Kintsch, W. E. (2007). Handbook of latent semantic analysis. Hillsdale, NJ: Lawrence Erlbaum.
43. Lesgold, A., Lajoie, S., Bunzo, M., & Eggan, G. (1988). Sherlock: A coached practice environment for an electronics troubleshooting job. In J. Larkin, R. Chabay, & C. Scheftic (Eds.), Computer-assisted instruction and intelligent tutoring systems: Establishing communication and collaboration. Hillsdale, NJ: Lawrence Erlbaum.
44. Lomas, D., Stamper, J., Muller, R., Patel, K., & Koedinger, K. R. (2012). The effects of adaptive sequencing algorithms on player engagement within an online game. In S. A. Cerri & B. Clancey (Eds.), Proceedings of Intelligent Tutoring Systems (ITS) 2012(pp. 588-590). Berlin: Springer.
45. Matsuda, N., Yarzebinski, E., Keiser, V., Raizada, R., William, W. C., Stylianides, G. J., & Koedinger, K. R. (in press). Cognitive anatomy of tutor learning: Lessons learned with SimStudent. Journal of Educational Psychology.
46. Mavrikis, M., Gutierrez-Santos, S., Geraniou, E., & Noss (2012). Design requirements, student perception indicators and validation metrics for intelligent exploratory learning environments. Personal and Ubiquitous Computing. Springer OnlineFirst. doi: 10.1007/s00779-012-0524-3, 1-16.
47. Mayer, R. E. (2009). Multimedia learning (2d ed.). New York: Cambridge University Press.
48. McLaren, B. M., DeLeeuw, K. E., & Mayer, R. E. (2011). A politeness effect in learning with web-based intelligent tutors. International Journal of Human-Computer Studies, 69(1-2), 70-79.
49. McNamara, D. S., O’Reilly, T., Best, R., & Ozuru, Y. (2006). Improving adolescent students’ reading comprehension with iSTART.Journal of Educational Computing Research,34(2), 147-171.
50. Millis, K, Forsyth, C., Butler, H., Wallace, P., Graesser, A., & Halpern, D. (2011). Operation ARIES! A serious game for teaching scientific inquiry. In M. Ma, A. Oikonomou, & J. Lakhmi (Eds.), Serious games and edutainment applications(pp. 169-196). London: Springer.
51. Moreno, R., & Mayer, R. E (2005). Role of guidance, rel ection, and interactivity in an agent-based multimedia game. Journal of Educational Psychology,97(1), 117-128.
52. Moreno, R., & Mayer, R. E. (2007). Interactive multimodal learning environments. Educational Psychology Review,19(3), 309-326.
53. National Research Council (2010). The role of simulations and games in science assessment. In M. A. Honey & M. Hilton (Eds.), Learning science through computer games and simulations(pp. 87-104). Washington, DC: National Academies Press.
54. Olney, A., D’Mello, S., Person, N., Cade, W., Hayes, P., Williams, C., Lehman, B., & Graesser, A.C. (2012). Guru: A computer tutor that models expert human tutors. In S. A. Cerri & B. Clancey (Eds.), Proceedings of Intelligent Tutoring Systems (ITS) 2012(pp. 256-261). Berlin: Springer.
55. O’Neil, H. F., & Perez, R. S. (2008). Computer games and team and individual learning. Amsterdam: Elsevier.
56. Pardos, Z. A., Dailey, M. D., & Heffernan, N. T. (2011). Learning what works in ITS from non-traditional randomized controlled trial data. International Journal of Artificial Intelligence in Education,21(1), 47-63.
57. Razzaq, L., & Heffernan, N. T. (2010). Hints: Is it better to give or wait to be asked? In V. Aleven, J. Kay, & J. Mostow (Eds.) Proceedings of Intelligent Tutoring Systems (ITS)2010(pp. 349-358). Berlin: Springer.
58. Ritter, S., Anderson, J. R., Koedinger, K. R., & Corbett, A. (2007). Cognitive Tutor: Applied research in mathematics education. Psychonomic Bulletin & Review,14(2), 249-255.
59. Roll, I., Aleven, V., McLaren, B. M., & Koedinger, K. R. (2011). Improving students’ help-seeking skills using metacognitive feedback in an intelligent tutoring system. Learning and Instruction,21(2), 267-280.
60. Rowe, J. P., Shores, L. R., Mott, B. W., & Lester, J. C. (2011). Integrating learning, problem solving, and engagement in narrative-centered learning environments. International Journal of Artificial Intelligence in Education,21(1-2), 115-133.
61. Schatz, S., Oakes, C., Folsom-Kovarik, J. T., & Dolletski-Lazar, R. (2012). ITS + SBT: A review of operational situated tutors. Military Psychology,24(2, SI), 166-193.
62. Schnotz, W., & Bannert, M. (2003). Construction and interference in learning from multiple representation. Learning and instruction,13(2), 141-156.
63. Shih, C. (2012). Zero tolerance cue angle analysis and its effect on successive sink rate of a low cost billiard reposition control tutoring system. Knowledge-Based Systems,30, 17-34.
64. Shute, V.J. (2008). Focus on formative feedback. Review of Educational Research,78, 153-189.
65. Silverman, B. G., Pietrocola, D., Nye, B. D., Weyer, N., Osin, O., Johnson, D., & Weaver, R. (2012). Rich socio-cognitive agents for immersive training environments: Case of NonKin Village. Autonomous Agents and Multi-Agent Systems,24(2), 312-343.
66. Singh, R., et al. (2011). Feedback during web-based homework: The role of hints. In G. Biswas, S. Bull, J. Kay, & A. Mitrovic (Eds.), Proceedings of Artificial Intelligence in Education (AIED) 2011(pp. 328-336). Berlin: Springer.
67. Steenbergen-Hu, S., & Cooper, H. (in press). A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning. Journal of Educational Psychology.
68. Stottler, R., & Panichas, S. (2006). A new generation of tactical action oficer intelligent tutoring system (ITS). In Proceedings of Interservice/Industry Training, Simulation and Education Conference(I/ITSEC) 2006. Orlando, FL.
69. Suraweera, P., & Mitrovic, A. (2004). An intelligent tutoring system for entity relationship modelling. International Journal of Artificial Intelligence in Education,14(3-4), 375-417.
70. U. S. Department of Education, Institute of Education Sciences (2009). Cognitive Tutor Algebra 1. What Works Clearinghouse. Retrieved from ies.ed.gov/ncee/wwc/pdf/intervention_reports/wwc_cogtutor_072809.pdf.
71. VanLehn, K. (2006). The behavior of tutoring systems. International Journal of Artificial Intelligence in Education,16(3), 227-265.
72. VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist,46(4), 197-221.
73. VanLehn, K., Graesser, A. C., Jackson, G. T., Jordan, P., Olney, A., & Rose, C. P. (2007). When are tutorial dialogues more effective than reading? Cognitive Science,31, 3-62.
74. VanLehn, K., et al. (2005). The Andes physics tutoring system: Five years of evaluations. In G. I. McCalla and C.-K. Looi (Eds.), Proceedings of the Artificial Intelligence in Education (AIED) 2005(pp. 678-685). Amsterdam: IOS Press.
75. Wang, Y. H., Young, S. S. C., & Jang, J.-S. (2009). Evaluation of tangible learning companion/robot for English language learning. In Proceedings of the International Conference on Advanced Learning Technologies (ICALT) 2009(pp. 322-326). Riga, Latvia: IEEE Press.
76. Ward, W., Cole, R., Bolaños, D., Buchenroth-Martin, C., Svirsky, E., van Vuuren, S., Weston, T., Zheng, J., & Becker, L. (2011). My Science Tutor: A conversational multimedia virtual tutor for elementary school science. ACM Transactions of Speech and Language Processing,13, 4-16.
77. Woolf, B. P. (2009). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Burlington, MA: Elsevier.