Considerations in the development of an ontology for a Generalized Intelligent Framework for tutoring

International Defense and Homeland Security Simulation Workshop, DHSS 2012, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2012

Volumn , Issue , 2012, Pages 19-25

  Sottilare, Robert A ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Adaptive computer based tutoring; Assessment; Authoring; Frameworks; Instruction; Ontology

Indexed keywords

COMPUTER SIMULATION; NATIONAL SECURITY; ONTOLOGY; SECURITY SYSTEMS;

ADAPTIVE COMPUTER-BASED TUTORING; ASSESSMENT; AUTHORING; FRAMEWORKS; INSTRUCTION;

TOOLS;

EID: 84898892685     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Branson, R. K., Rayner, G. T., Cox, J. L., Furman, J. P., King, F. J., Hannum, W. H. (1975). Interservice procedures for instructional systems development. (5 vols.) (TRADOC Pam 350-30 NAVEDTRA 106A). Ft. Monroe, VA: U.S. Army Training and Doctrine Command, August 1975. (NTIS No. ADA 019 486 through ADA 019 490).
2. du Boulay, B. and Luckin, R. (2001). Modelling human teaching tactics and strategies. International Journal of Artificial Intelligence in Education, Vol 12: 235-256, 2001.
3. Fournier-Viger, P., Nkambou, R., Mayers., A.: A Framework for Evaluating Semantic Knowledge in Problem-Solving- Based Intelligent Tutoring Systems. In: Proc. of FLAIRS 2008, pp. 409-414. AAAI press, Menlo Park (2008).
4. Harrer, A., Malzahn, N. and Wichmann, A. (2008). The remote control approach - An architecture for adaptive scripting across collaborative learning environments. Journal of Universal Computer Science, vol. 14, no. 1 (2008), 148-173.
5. Koedinger, K. R., Aleven, V., Heffernan, N., McLaren, B., & Hockenberry, M. (2004). Opening the door to nonprogrammers: Authoring intelligent tutor behavior by demonstration. In Proceedings of Seventh International Conference on Intelligent Tutoring Systems, ITS 2004 (pp. 162-174). Berlin: Springer Verlag.
6. Lepper, M. R., Drake, M., & O'Donnell-Johnson, T. M. (1997). Scaffolding techniques of expert human tutors. In K. Hogan & M. Pressley (Eds), Scaffolding student learning: Instructional approaches and issues (pp. 108- 144). New York: Brookline Books.
7. Lepper, M. and Woolverton, M. (2002). The Wisdom of Practice: Lessons Learned from the Study of Highly Effective Tutors. In J. Aronson (Ed) Improving academic achievement: impact of psychological factors on education (pp. 135-158). New York: Academic Press.
8. Loftin, B., Mastaglio, T., & Kenney, P. (2004), Outstanding Research Issues in Intelligent Tutoring Systems, study commissioned by the Research Development and Engineering Command (RDECOM), Orlando, Florida, USA under contract N61339-03-C-0156, Retrieved from http://www.mymicsurveys.com/site/ files/pub-4.pdf.
9. Martens, A., and Uhrmacher, A.M. (2004). A formal tutoring process model for intelligent tutoring systems. In Proceedings of the 16th European Conference on Artificial Intelligence, ECAI 2004, 124-128, 2004.
10. Maslow, A.H. (1943). "A Theory of Human Motivation, " Psychological Review 50(4): 370-96.
11. Murray, T. (1999). Authoring intelligent tutoring systems: An analysis of the state of the art. International Journal of Artificial Intelligence in Education, 10(1):98-129.
12. Murray, T. (2003). An Overview of Intelligent Tutoring System Authoring Tools: Updated analysis of the state of the art. Authoring tools for advanced technology learning environments. 2003, 491-545.
13. Riccucci, S., Carbonaro, A., and Casadei, G. An architecture for knowledge management in intelligent tutoring system. In Cognition and Exploratory Learning in Digital Age (Porto, Portugal, December 2005), pp. 473-476.
14. Sottilare, R. & Proctor, M. (2012). Classifying student mood within intelligent tutoring systems (ITS). Journal of Educational Technology, 15 (2), 101-114.
15. U.S. Training and Doctrine Command (2003). Pamphlet 350- 70-2 Appendix K (Checklist 9).