An intelligent tutoring system for computer numerical control programming

International Journal of Engineering Education

Volumn 35, Issue 1, 2018, Pages 252-261

  Li, Qinbo ^a   Hsieh, Sheng Jen ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

Computer integrated manufacturing; Intelligent tutoring system; Mechanical engineering

Indexed keywords

CODES (SYMBOLS); COMPUTER AIDED DESIGN; COMPUTER AIDED INSTRUCTION; COMPUTER INTEGRATED MANUFACTURING; COMPUTER PROGRAMMING LANGUAGES; COMPUTER SYSTEMS PROGRAMMING; CUTTING TOOLS; EDUCATION COMPUTING; FEEDBACK; GENERAL PURPOSE COMPUTERS; HIGHWAY PLANNING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MACHINE TOOLS; MACHINING; MECHANICAL ENGINEERING; NUMERICAL CONTROL SYSTEMS; PROBLEM SOLVING; STUDENTS;

COMPUTER NUMERICAL CONTROL; COMPUTER NUMERICAL CONTROL MACHINES; DATA-DRIVEN APPROACH; INTELLIGENT TUTORING SYSTEM; PROBLEM SOLVING PROCESS; SUBJECTIVE IMPRESSIONS; UNDERGRADUATE STUDENTS; VISUAL LEARNERS;

COMPUTER CONTROL SYSTEMS;

EID: 85060983387     PISSN: 0949149X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. V. Petrushin, Intelligent tutoring systems: architecture and methods of implementation. A survey, Journal of Computer & System Sciences International, 33, 1995, pp. 117–139.
2. V. Tsiriga and M. Virvou, A Framework for the Initialization of Student Models in Web-based Intelligent Tutoring Systems, User Modeling and User-Adapted Interaction, 14, 2004, pp. 289–316.
3. A. C. Graesser, M. W. Conley and A. Olney, Intelligent tutoring systems, APA Educational Psychology Handbook, 3, 2012.
4. S. J. Hsieh and Y.-T. Cheng, Algorithm and intelligent tutoring system design for programmable controller programming, The International Journal of Advanced Manufacturing Technology, 71, 2014, pp. 1099–1115.
5. C. J. Butz, S. Hua and R. B. Maguire, A web-based intelligent tutoring system for computer programming, in Web Intelligence, 2004, WI 2004, Proceedings, IEEE/WIC/ACM International Conference on, ed, 2004, pp. 159–165.
6. I.-H. Hsiao, P. Brusilovsky and S. Sosnovsky, Web-based parameterized questions for object-oriented programming, in Proceedings of World Conference on E-Learning, E-Learn, ed, 2008, pp. 17–21.
7. P. Brusilovsky and S. Sosnovsky, Individualized exercises for self-assessment of programming knowledge: An evaluation of QuizPACK, Journal on Educational Resources in Computing (JERIC), 5, 2005, p. 6.
8. S. Abu-Naser, A. Ahmed, N. Al-Masri, A. Deeb, E. Mosh-taha and M. AbuLamdy, An intelligent tutoring system for learning java objects, International Journal of Artificial Intelligence and Applications (IJAIA), 2, 2011.
9. W. Jin, T. Barnes, J. Stamper, M. J. Eagle, M. W. Johnson and L. Lehmann, Program representation for automatic hint generation for a data-driven novice programming tutor, in International Conference on Intelligent Tutoring Systems, ed, 2012, pp. 304–309.
10. K. Rivers and K. R. Koedinger, A Canonicalizing Model for Building Programming Tutors, in Intelligent Tutoring Systems: 11th International Conference, ITS 2012, Chania, Crete, Greece, June 14–18, 2012. Proceedings, Berlin, Heidelberg, 2012, pp. 591–593.
11. T. Lazar and I. Bratko, Data-Driven Program Synthesis for Hint Generation in Programming Tutors, in Intelligent Tutoring Systems: 12th International Conference, ITS 2014, Honolulu, HI, USA, June 5–9, 2014. Proceedings, Cham, 2014, pp. 306–311.
12. N.-T. Le and W. Menzel, Using Weighted Constraints to Diagnose Errors in Logic Programming-The Case of an Ill-defined Domain, International Journal of Artificial Intelligence in Education, 19, 2009, pp. 381–400.
13. K. Rivers and K. R. Koedinger, Automatic generation of programming feedback: A data-driven approach, in The First Workshop on AI-supported Education for Computer Science (AIEDCS 2013) 50, ed, 2013.
14. A. Overby A, CNC machining handbook: building, programming, and implementation: McGraw-Hill, Inc., 2010.
15. J. Valentino and J. Goldenberg, Introduction to computer numerical control: Pearson, 2012.
16. A. Mitrovic, B. Martin and M. Mayo, Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor, User Modeling and User-Adapted Interaction, 12, 2002, pp. 243–279.
17. S. Gross, B. Mokbel, B. Hammer and N. Pinkwart, Feedback provision strategies in intelligent tutoring systems based on clustered solution spaces, DeLFI 2012: Die 10. e-Learning (S. 27–38)
18. T. R. Kramer, F. M. Proctor and E. Messina, The NIST RS274NGC interpreter-version 3, 2000.
19. R. M. Felder, L. K. Silverman and others, Learning and teaching styles in engineering education, Engineering Education, 78, 1988, pp. 674–681.
20. V. Aleven, B. M. McLaren, J. Sewall and K. R. Koedinger, A new paradigm for intelligent tutoring systems: example-tracing tutors, International Journal of Artificial Intelligence in Education, 19(2), 2009, pp. 105–154.
21. S. J. Hsieh and P. Y. Hsieh, Animations and intelligent tutoring systems for programmable logic controller education, International Journal of Engineering Education, 19(2), 2003, pp. 282–296.
22. R. R Choudhury, H. Yin and A. Fox, Scale-driven automatic hint generation for coding style, 13th International Conference on Intelligent Tutoring Systems (ITS 2016), 9684, 2016.
23. T. W. Price, R. Zhi and T. Barnes, Hint generation under uncertainty: the effect of hint quality on help-seeking behavior, 18th International Conference on Artificial Intelligence in Education, 2017, pp. 311–322.
24. 24. A. Ogan, E. Yarzebinski, P. Fernández and I. Casas, Cognitive tutor use in Chile: understanding classroom and lab culture, 17th International Conference on Artificial Intelligence in Education, 2015, pp. 318–327.
25. H. A. A. Hasanein and S. S. A. Naser, An intelligent tutoring system for cloud computing, International Journal of Academic Research and Development, 2(1), 2017, pp. 76–80.
26. D. Hooshyar, R. B. Ahmad, M. Wang, M. Yousefi, M. Fathi and H. Lim, Development and evaluation of a game-based Bayesian intelligent tutoring system for teaching programming, Journal of Educational Computing Research, 56(6), 2018, pp. 775–801.
27. C. S. González, P. Toledo and V. Muñoz, Enhancing the engagement of intelligent tutorial systems through personalization of gamification, International Journal of Engineering Education, 32(1), 2016, pp. 532–541.