Macro-adaptation in conversational intelligent tutoring matters

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8474 LNCS, Issue , 2014, Pages 242-247

  Rus, Vasile ^a   Stefanescu, Dan ^a   Baggett, William ^a   Niraula, Nobal ^a   Franceschetti, Don ^a   Graesser, Arthur C ^a  

^a UNIVERSITY OF MEMPHIS   (United States)

Author keywords

assessment; intelligent tutoring systems; macro adaptation

Indexed keywords

EDUCATION COMPUTING; LEARNING SYSTEMS; SCAFFOLDS;

ASSESSMENT; EXPERIMENTAL DATA ANALYSIS; INTELLIGENT TUTORING; INTELLIGENT TUTORING SYSTEM; INTELLIGENT TUTORS; LEARNING GAIN; MACRO-ADAPTATION;

COMPUTER AIDED INSTRUCTION;

EID: 84958540020     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-07221-0_29     Document Type: Conference Paper

References (14)

1. Alonzo, A.C., Steedle, J.T.: Developing and assessing a force and motion learning progression. Science Education 93, 389-421 (2009)
2. Brusilovsky, P.L.: A Framework for Intelligent Knowledge Sequencing and Task Sequencing. In: Frasson, C., Gauthier, G., McCalla, G.I. (eds.) ITS 1992. LNCS, vol. 608, pp. 499-506. Springer, Heidelberg (1992)
3. Dedic, H., Rosenfield, S., Lasry, N.: Are All Wrong FCI Answers Equivalent? In: Proceedings of the Physics Education Research Conference, Portland, Oregon, July 21-22 (2010)
4. Hestenes, D., Wells, M., Swackhamer, G.: Force concept inventory. Phys. Teach. 30, 141-158 (1992)
5. Evens, M., Michael, J.: One-on-One Tutoring by Humans and Computers. Lawrence Erlbaum Associates, Inc. (2006)
6. Graesser, A.C., VanLehn, K., Rose, C.P., Jordan, P., Harter, D.: Intelligent tutoring systems with conversational dialogue. AI Magazine 22(4), 39-41 (2001)
7. Lehman, B., DMello, S.K., Strain, A.C., Gross, M., Dobbins, A., Wallace, P., Millis, K., Graesser, A.C.: Inducing and tracking confusion with contradictions during critical thinking and scientific reasoning. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds.) AIED 2011. LNCS, vol. 6738, pp. 171-178. Springer, Heidelberg (2011)
8. Rus, V., DMello, S., Hu, X., Graesser, A.C.: Recent Advances in Conversational Intelligent Tutoring Systems. AI Magazine 34(3), 42-54 (2013)
9. Sabo, K.E., Atkinson, R.K., Barrus, A.L., Joseph, S.S., Perez, R.S.: Searching for the two sigma advantage: Evaluating algebra intelligent tutors. Computers in Human Behavior 29(4), 1833-1840 (2013)
10. VanLehn, K.: The Behavior of Tutoring Systems. International Journal of Artificial Intelligence in Education 16, 227-265 (2006)
11. VanLehn, K., Lynch, C., Schulze, K., Shapiro, J.A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A., Wintersgill, M.: The Andes Physics Tutoring System: Lessons Learned. International Journal of Artificial Intelligence and Education 15(3) (2005)
12. VanLehn, K., Jordan, P., Litman, D.: Developing pedagogically effective tutorial dialogue tactics: Experiments and a testbed. In: Proceedings of SLaTE Workshop on Speech and Language Technology in Education (ISCA Tutorial and Research Workshop) (2007)
13. VanLehn, K.: The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist 46(4), 197-221 (2011)
14. Wang, J., Bao, L.: Analyzing Force Concept Inventory with Item Response Theory. Am. J. Phys. 78(10), 1064-1070 (2010)