Evaluation of two intelligent tutoring system authoring tool paradigms graphical user interface-based and text-based

21st Annual Conference on Behavior Representation in Modeling and Simulation 2012, BRiMS 2012

Volumn , Issue , 2012, Pages 51-58

  Devasani, Shrenik ^a   Gilbert, Stephen B ^a   Blessing, Stephen B ^b  

^a Iowa State University   (United States)

^b UNIVERSITY OF TAMPA   (United States)

Author keywords

Authoring tool; Graphical user interface; Intelligent tutoring system

Indexed keywords

2-GROUP; AUTHORING SYSTEMS; AUTHORING TOOL; COGNITIVE DIMENSIONS; DESIGN GUIDANCE; INTELLIGENT TUTORING SYSTEM; TEXT-BASED APPROACH; TWO DOMAINS;

COMPUTER AIDED INSTRUCTION; COMPUTER PROGRAMMING; COMPUTER SIMULATION; GRAPHICAL USER INTERFACES;

EDUCATION COMPUTING;

EID: 84872464356     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Aleven, V., McLaren, B., Sewall, J., & Koedinger, K. R. (2009). A new paradigm for intelligent tutoring systems: Example-tracing tutors. International Journal of Artificial Intelligence in Education, 19, 105-154.
2. Blessing, S. B., Gilbert, S., Blankenship, L., & Sanghvi, B. (2009). From SDK to xPST: A new way to overlay a tutor on existing software.
3. Day, R. S. (1988). Alternative representations. The Psychology of Learning and Motivation: Advances in Research and Theory, 22, 261-305.
4. Green, T. R. G., & Petre, M. (1996). Usability Analysis of Visual Programming environments: A 'cognitive dimensions' framework. Journal of Visual Languages and Computing, 7, 131-174.
5. Gilbert, S. B., Devasani, S., Kodavali, S., & Blessing, S. B. (2011). Easy authoring of intelligent tutoring systems for synthetic environments. Paper presented at the Proceedings of the Twentieth Conference on Behavior Representation in Modeling and Simulation.
6. Koedinger, K. R., Aleven, V., Heffernan, N., McLaren, B., & Hockenberry, M. (2004). Opening the door to non-programmers: Authoring intelligent tutor behavior by demonstration. Paper presented at the Proceedings of Seventh International Conference on Intelligent Tutoring Systems, Berlin.
7. Koedinger, K. R., Aleven, V. A., & Heffernan, N. (2003). Toward a rapid development environment for cognitive tutors. Artificial intelligence in education: Shaping the Future of Learning Through Intelligent Technologies, 97, 455.
8. Maass, J., & Blessing, S. (2011). xSTAT: An intelligent homework helper for students. Paper presented at the Georgia Undergraduate Research in Psychology Conference.
9. Murray, T. (1999). Authoring intelligent tutoring systems: An analysis of the state of the art. International Journal of Artificial Intelligence in Education, 70(1), 98-129.
10. Nevill-Manning, C. G. (1993). Programming by demonstration. New Zealand Journal of Computing, 4(2), 15-24.
11. Polich, J. M., & Schwartz, S. H. (1974). The effect of problem size on representation in deductive problem solving. Memory & Cognition, 2(4), 683-686.
12. Whitley, K. N. (1997). Visual programming languages and the empirical evidence for and against. Journal of Visual Languages and Computing, 8(1), 109-142.
13. Woolf, B. P., & Cunningham, P. (1987). Building a community memory for intelligent tutoring systems.