The teaching and learning of programming: A survey of supporting software tools

Computer Journal

Volumn 48, Issue 2, 2005, Pages 130-144

  Gómez Albarrán, Mercedes ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER PROGRAMMING LANGUAGES; COMPUTER SCIENCE; LISP (PROGRAMMING LANGUAGE); SEMANTICS; STUDENTS; TEACHING; WORLD WIDE WEB;

LEARNING-OF-PROGRAMMING; TEACHING-OF-PROGRAMMING;

COMPUTER PROGRAMMING;

EID: 15744399606     PISSN: 00104620     EISSN: None     Source Type: Journal    
DOI: 10.1093/comjnl/bxh080     Document Type: Review

References (104)

1. Milne, I. and Rowe, G. (2003) Difficulties in learning and teaching programming - views of students and tutors. Education and Information Technologies, 7, 55-66.
2. Brusilovsky, P., Calabrese, E., Hvorecky, J., Kouchnirenko, A. and Miller, P. (1997) Mini-languages: a way to learn programming principles. Education and Information Technologies, 2, 65-83.
3. du Boulay, B. (1989) Some difficulties of learning to program. In Soloway, E. and Sprohrer, J. (eds) Studying the Novice Programmer. Lawrence Erlbaum Associates, New Jersey.
4. Johnson, W. L. (1990) Understanding and debugging novice programs, Artif. Intell., 41, 51-97.
5. Johnson, W. L. and Soloway, E. (1985) PROUST: knowledge-based program understanding. IEEE Trans. Software Eng., 11, 369-380.
6. Anderson, J. R. and Reiser, B. J. (1985) The Lisp tutor. Byte, 10, 159-175.
7. Corbett, A. T., Anderson, J. R. and Patterson, E. G. (1990) Student modelling and tutoring flexibility in the LISP Intelligent Tutoring System. In Frasson, C. and Gauthier, G. (eds) Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education. Ablex, Norwood, NJ.
8. Rich, C. and Waters, R. C. (1988) The programmer's apprentice: a research overview. Computer, 21, 10-25.
9. Rich, C. and Waters, R. C. (1990) The Programmer's Apprentice. Addison-Wesley, New York.
10. Freund, S. N. and Roberts, E. S. (1996) THETIS: an Ansi C programming environment designed for introductory use. In Proc. 27th SIGCSE Technical Symp. on Computer Science Education, Philadelphia, PA, February 15-17, pp. 300-304. ACM Press, New York.
11. Satratzemi, M., Daglilelis, V. and Evagelidis, G. (2001) A system for program visualization and problem-solving path assessment of novice programmers. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education, Canterbury, UK, June 25-27, pp. 137-140. ACM Press, New York.
12. Dagdilelis, V., Satratzemi, M. and Evangelidis, G. (2002) What they really do? Attempting (once again) to model novice programmers' behavior. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education, Aarhus, Denmark, June 24-28, pp. 244. ACM Press, New York.
13. AnimPascal WEB, http://macedonia.uom.gr/~maya/AnimPascal/docs/ AnimPascal.htm.
14. Barnes, D. J. and Kölling, M. (2003) Objects First with Java - A Practical Introduction using BlueJ. Prentice Hall, London.
15. Kölling, M. and Rosenberg, J. (2001) Guidelines for Teaching Object Orientation with Java. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education, Canterbury, United Kingdom, June 25-27, pp. 33-36. ACM Press, New York.
16. Kölling, M., Quig, B., Patterson, A. and Rosenberg, J. (2003) The BlueJ system and its pedagogy. Journal of Computer Science Education Special Issue on Learning and Teaching Object Technology, 13, 249-268.
17. Kölling, M. (1999) Teaching object orientation with the blue environment. Journal of Object-Oriented Programming, 12, 14-23.
18. Kölling, M. and Rosenberg, J. (1996) Blue - a language for teaching object-oriented programming. In Proc. 27th SIGCSE Technical Symp. on Computer Science Education, Philadelphia, PA, February 15-17, pp. 190-194. ACM Press, New York.
19. Culwin, F. (1999) Objects imperatives! In Proc. 30th SIGCSE Technical Symp. on Computer Science Education, New Orleans, LA, March 24-28, pp. 31-36. ACM Press, New York.
20. Lewis, J. (2000) Myths about object-orientation and its pedagogy. In Proc. 31st SIGCSE Technical Symp. on Computer Science Education, Austin, TX, March 7-12, pp. 245-249. ACM Press, New York.
21. BlueJ WEB, http://www.bluej.org.
22. Allen, E., Cartwright, R. and Stoler, B. (2002) DrJava: a lightweight pedagogic environment for Java. In Proc. 33rd SIGCSE Technical Symp. on Computer Science Education, Covington, KY, February 27-March 3, pp. 137-141. ACM Press, New York.
23. Reis, C. and Cartwright, R. (2004) Taming a professional IDE for the classroom. In Proc. 35th SIGCSE Technical Symp. on Computer Science Education, Norfolk, VA, March 3-7, pp. 156-160. ACM Press, New York.
24. Generic Java WEB, http://www.jcp.org/aboutJava/communityprocess/review/ jsr014/.
25. JUnit WEB, http://www.junit.org/index.htm.
26. DrJava WEB, http://drjava.org.
27. Brusilovsky, P. and Weber, G. (1996) Collaborative example selection in an intelligent example-based programming environment. In Proc. Int. Conf. on Learning Sciences, Evanston/Chicago, IL, July 24-27, pp. 357-362. AACE Press, Charlottesville, VA.
28. Guzdial, M. (1995) Software-realized scaffolding to facilitate programming for science learning. Interactive Learning Environments 4, 1-44.
29. Neal, L. R. (1989) A system for example-based programming. In Proc. Human Factors in Computing Systems, Austin, TX, April 30-May 4, pp. 63-68. ACM Press, New York.
30. Faries, J. M. and Reiser, B. J. (1988) Access and use of previous solutions in a problem solving situation. In Proc. 10th Ann. Conf. Cognitive Science Society, Montreal, Quebec, Canada, August 17-19, pp. 433-439. Laurence Erlbaum Associates, New Jersey.
31. Weber, G. (1996) Individual selection of examples in an intelligent programming environment. Journal of Artificial Intelligence in Education, 7, 3-31.
32. Weber, G. (1996) Episodic learner modeling. Cognitive Science, 20, 195-236.
33. Weber, G. and Specht, M. (1997) User modeling and adaptive navigation support in WWW-based tutoring systems. In Proc. User Modeling, Chia Laguna, Sardinia, Italy, June 2-5, pp. 289-300. Springer Wien, New York.
34. Weber, G. and Brusilovsky, P. (2001) ELM-ART: an adaptive versatile system for Web-based instruction. International Journal of Artificial Intelligence in Education, Special Issue on Adaptive and Intelligent Web-based Educational Systems, 12, 351-384.
35. ELM-ART WEB, http://apsymac33.uni-trier.de:8080/Lisp-Course.
36. Brusilovsky, P. (2001) WebEx: learning from examples in a programming course. In Proc. World Conf. of the WWW and Internet, Orlando, FL, October 23-27, pp. 124-129. AACE Press, New York.
37. Gómez-Martín, P. P., Gómez-Martín, M. A. and González-Calero, P. A. (2003) Javy: virtual environment for case-based teaching of Java Virtual Machine. In Proc. Conf. on Knowledge-Based Intelligent Information and Engineering Systems, Oxford, UK, September 3-5, pp. 906-913. Springer Verlag, Berlin.
38. Jiménez-Díaz, G., Gómez-Albarrán, M. and González-Calero, P. A. (2004) Applying case-based teaching to object-oriented framework training. In Onaindia, E. and Staab, S. (eds), Frontiers in Artificial Intelligence and Applications. Vol. 109, IOS Press, Amsterdam.
39. Stasko, J., Domingue, J., Price, B. A. and Brown, M. H. (1998) Software Visualization: Programming as a Multimedia Experience. MIT Press, Cambridge, MA.
40. Baecker, R. M. and Sherman, D. (1981) Sorting Out Sorting. 30-minute 16mm colour sound film. Presented at the ACM SIGGRAPH conference, Dallas, TX, August 3-7.
41. Baecker, R. M. (1998) Sorting out sorting: a case study of software visualization for teaching computer science. In Stasko, J., Domingue, J., Price, B. A. and Brown, M. H. (eds) Software Visualization: Programming as a Multimedia Experience. MIT Press, Cambridge, MA.
42. Algorithm animation compendium, http://www.cs.hope.edu/~alganim/ccaa/ index.html.
43. Boroni, C. M., Goosey, F. W., Grinder, M. T. and Ross, R. J. (2001) Engaging students with active learning resources: hypertextbooks for the web. In Proc. 32nd SIGCSE Technical Symposium on Computer Science Education, Charlotte, NC, February 21-25, pp. 65-69. ACM Press, New York.
44. Rößling, G. and Freisleben, B. (2000) Approaches for generating animations for lectures. In Proc. 11th Int. Society for Information Technology and Teacher Education Conference, Atlanta, GA, March 1-6, pp. 809-814. AACE Press, Charlottesville, VA.
45. Rößling, G. (2003) Key decisions in adopting algorithm animation for teaching. In van Weert, T. J. and Munro, R. K. (eds) Informatics and the Digital Society. Kluwer Academic Publishers, London.
46. Rößling, G. and Freisleben, B. (2002) ANIMAL: a system for supporting multiple roles in algorithm animation. Journal of Visual Languages and Visualization, 13, 341-354.
47. Rößling, G., Schüller, M. and Freisleben, B. (2000) The ANIMAL algorithm animation tool. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education, Helsinki, Finland, July 11-13, pp. 37-40. ACM Press, New York.
48. Rößling, G. and Freisleben, B. (2001) ANIMALSCRIPT: an extensible scripting language for algorithm animation. In Proc. 32nd SIGCSE Technical Symp. on Computer Science Education, Charlotte, NC, February 21-25, pp. 70-74. ACM Press, New York.
49. ANIMAL WEB, http://www.animal.ahrgr.de/.
50. Crescenzi, P., Demetrescu, C., Finocchi, I. and Petreschi, R. (2000) Reversible execution and visualization of programs with Leonardo. J. Visual Lang. Comput., 11, 125-150.
51. Demetrescu, C. and Finocchi, I. (2001) Smooth animation of algorithms in a declarative framework. J. Visual Lang. Comput., 12, 253-281.
52. Demetrescu, C. and Finocchi, I. (1999) A general-purpose logic-based visualization framework. In Proc. Int. Conf. in Central Europe on Computer Graphics, Visualization and Interactive Digital Media, Plzen-Bory, Czech Republic, February 8-12, pp. 55-62. University of West Bohemia Press, Czech Republic, Plzen.
53. LEONARDO WEB, http://www.dis.uniromal.it/~demetres/Leonardo/ Leonardo.html.
54. Stasko, J. (1998) Smooth continuous animation for portraying algorithms and processes. In Stasko, J., Domingue, J., Price, B. A. and Brown, M. H. (eds) Software Visualization: Programming as a Multimedia Experience. MIT Press, Cambridge, MA.
55. Stasko, J. and Kraemer, E. (1992) A Methodology for Building Application Specific Visualizations of Parallel Programs. Technical Report GIT-GVU-92-10, Georgia Institute of Technology. Available at http://www.cc.gatech.edu/gvu/softviz/algoanim/.
56. Stasko, J., Badre, A. and Lewis, C. (1993) Do algorithm animations assist learning? An empirical study and analysis. In Proc. Conf. on Human Factors in Computing Systems, Amsterdam, The Netherlands, April 24-29, pp. 61-66. ACM Press, New York.
57. Stasko, J. (1990) TANGO: a framework and system for algorithm animation. Computer, 23, 27-39.
58. Stasko, J. (1990) The path-transition paradigm: a practical methodology for adding animation to program interfaces. J. Visual Lang. Comput. 1, 213-236.
59. XTANGO and POLKA WEB, http://www.cc.gatech.edu/gvu/softviz/algoanim/.
60. Naps, T., Eagan, J. and Norton, L. (2000) JHAVÉ an environment to actively engage students in web-based algorithm visualization. In Proc. 31st SIGCSE Technical Symp. on Computer Science Education, Austin, TX, March 7-12, pp. 109-113. ACM Press, New York.
61. JHAVÉ WEB, http://csf11.acs.uwosh.edu/.
62. George, C. E. (2000) EROSI - visualizing recursion and discovering new errors. In Proc. 31st SIGCSE Technical Symp. on Computer Science Education, Austin, TX, March 7-12, pp. 305-309. ACM Press, New York.
63. Khuri, S. and Hsu, H. (2000) Interactive packages for learning image compression algorithms. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education, Helsinki, Finland, July 11-13, pp. 73-76. ACM Press, New York.
64. Bruce-Lockhart, M. P. and Norwell, T. S. (2000) Lifting the hood of the computer: program animation with the teaching machine. In Proc. Canadian Electrical and Computer Engineering Conf., Helifax Nova Scotia, Canada, May 7-10, pp. 831-835. IEEE Computer Society Press, Los Alamitos, CA.
65. The Teaching Machine of C++, http://www.engr.mun.ca/~theo/TM.
66. Lahtinen, S., Sutinen, E. and Tarhio, J. (1998) Automated animation of algorithms with Eliot. J. Visual Lang. Comput., 9, 337-349.
67. Haajanen, J., Pesonius, M., Sutinen, E., Tarhio, J., Teräsvirta, T. and Vaninen, P. (1997) Animation of user algorithms on the web. In Proc. IEEE Symp. on Visual Languages, Isle of Capri, Italy, April 23-26, pp. 360-367. IEEE Computer Society Press, Los Alamitos, CA.
68. Levy, R., Ben-Ari, M. and Uronen, P. (2003) The Jeliot 2000 Program Animation System. Computer & Education, 40, 1-15.
69. Ben-Ari, M., Myller, N., Sutinen, E. and Tarhio, J. (2002) Perspectives on program animation with Jeliot. In Proc. Software Visualization: Int. Seminar, Dagstuhl Castle, Germany, May 20-25, pp. 31-45. Springer Verlag, Berlin.
70. Jeliot family WEB, http://cs.joensuu.fi/jeliot/www/.
71. Dagdilelis, V. and Satratzemi, M. (2001) Post's machine: a didactic microworld as an introduction to formal programming. Education and Information Technologies, 6, 123-141.
72. Crosby, M. E. and Stelovsky, J. (1995) From multimedia instruction to multimedia evaluation. Journal of Educational Multimedia and Hypermedia, 4, 147-162.
73. Rößling, G. and Freisleben, B. (2000) Experiences in using animations in introductory computer science lectures. In Proc. 31st SIGCSE Technical Symp. on Computer Science Education, Austin, TX, March 7-12, pp. 134-138. ACM Press, New York.
74. Lawrence, A. W., Badre, A. M. and Stasko, J. (1994) Empirically evaluating the use of animations to teach algorithms. In Proc. IEEE Symp. on Visual Languages, St. Louis, MO, October 4-7, pp. 48-54. IEEE Computer Society Press, Los Alamitos, CA.
75. Kehoe, C., Stasko, J. and Taylor, A. (2001) Rethinking the evaluation of algorithm animations as learning aids: an observational study. Int. J. Hum-Comput. St., 54, 265-284.
76. Stasko, J. (1993) A methodology for building application specific visualizations of parallel programs. J. Parallel Distr. Comput., 18 258-264.
77. Byrne, M. D., Catrambone, R. and Stasko, J. (1999) Evaluating animations as students aids in learning computer algorithms. Computers & Education, 33, 253-278.
78. Hundhausen, C., Douglas, S. and Stasko, J. (2002) A meta-study of algorithm visualization effectiveness. J. Visual Lang. Comput., 13, 259-290.
79. Grissom, S., McNally, M. and Naps, T. (2003) Algorithm visualization in CS education: comparing levels of student engagement. In Proc. ACM Symp. on Software Visualization, San Diego, CA, June 11-13, pp. 87-94. ACM Press, New York.
80. Hübscher-Younger, T. and Narayanan, N. (2003) Dancing hamsters and marble statues: characterizing student visualizations of algorithms. In Proc. ACM Symp. on Software Visualization, San Diego, CA, June 11-13, pp. 95-104. ACM Press, New York.
81. Naps, T. et al. (2003) Exploring the role of visualization and engagement in computer science education. Report of the ITiCSE Working Group on 'Improving the Educational Impact of Algorithm Visualization'. ACM SIGCSE Bulletin Inroads, 35, 131-152.
82. Rößling, G. (2003) Key Decisions in adopting algorithm animation for teaching. In van Weert, T. J. and Munro, R. K. (eds) Informatics and the Digital Society. Kluwer Academic Publishers, London.
83. Rößling, G. and Naps, T. (2002) A testbed for pedagogical requirements in algorithm visualizations. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education, Aarhus, Denmark, June 24-28, pp. 96-100. ACM Press, New York.
84. Saraiya, P., Schaffer, C. A., McCrickard, D. S. and North, C. (2004) Effective features of algorithm visualizations. In Proc. 35th SIGCSE Technical Symp. on Computer Science Education, Norfolk, VA, March 3-7, pp. 382-386. ACM Press, New York.
85. Hundhausen, C. and Douglas, S. (2002) Low-fidelity algorithm visualization. J. Visual Lang. Comput., 13, 449-470.
86. Jarc, D., Feldman, M. B. and Heller, R. S. (2000) Assessing the benefits of interactive prediction using web-based algorithm animation courseware. In Proc. 31st SIGCSE Technical Symp. on Computer Science Education, Austin, TX, March 7-12, pp. 377-381. ACM Press, New York.
87. Naps, T. et al. (2003) Evaluating the educational impact of visualization. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education, Thessaloniki, Greece, June 30-July 2, pp. 124-136. ACM Press, New York.
88. Pattis, R. (1981) Karel the Robot. John Wiley & Sons, New York.
89. Karel WEB, http://karel.sourceforge.net.
90. Bergin, J., Stehlik, M., Roberts, J. and Pattis, R. (1997) Karel++ - A Gentle Introduction to the Art of Object-Oriented Programming. John Wiley & Sons, New York.
91. Bergin, J. (2000) Introducing Objects with Karel J. Robot. Position paper at the Workshop 'Tools and Environments for Understanding Object-Oriented Concepts'. In Proc. Eur. Conf. on Object-Oriented Programming, Sophia Antipolis, France, June 8. Available at http://www.csis.pace.edu/~bergin/.
92. Bergin, J., Stehlik, M., Roberts, J. and Pattis, R. (2003) Karel J. Robot - a gentle introduction to the art of object-oriented programming in Java. Available at http://csis.pace.edu/~bergin/KarelJava/ Karel++JavaEdition.html.
93. Buck, D. and Stucki, D. J. (2001) JKarelRobot: a case study in supporting levels of cognitive development in the computer science curriculum. In Proc. 32nd SIGCSE Technical Symp. on Computer Science Education, Charlotte, NC, February 21-25, pp. 16-20. ACM Press, New York.
94. Dann, W., Cooper, S. and Pausch, R. (2000) Making the connection: programming with animated small world. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education, Helsinki, Finland, July 11-13, pp. 41-44. ACM Press, New York.
95. Cooper, S., Dann, W. and Pausch, R. (2003) Using animated 3D graphics to prepare novices for CS1. Computer Science Education, 13, 3-32.
96. Cooper, S., Dann, W. and Pausch, R. (2003) Teaching objects-first in introductory computer science. In Proc. 34th SIGCSE Technical Symp. on Computer Science Education, Reno, NV, February 19-23, pp. 191-195. ACM Press, New York.
97. Alice WEB, http://www.alice.org.
98. Alice textbook online (draft), http://www.ithaca.edu/wpdann/alice2002/ alicebook.html.
99. Ceebot, COLOBOT WEB, http://www.epsitec.ch/.
100. Rodger, S. H. (1996) Integrating animations into courses. In Proc. Ann. Conf. on Innovation and Technology in Computer Science Education Barcelona, Spain, June 2-6, pp. 72-74. ACM Press, New York.
101. Börstler, J., Johansson, T. and Nordström, M. (2002) Teaching OO concepts - a case study using CRC-cards and BlueJ. In Proc. 32nd ASEE/ IEEE Frontiers in Education Conf., Boston, MA, November 6-9, pp. T2G1-T2G6. IEEE Computer Society Press, Los Alamitos, CA.
102. Smith, P. and Webb, G. (2000) The efficacy of a low-level program visualization tool for teaching programming concepts to novice C programmers. Journal of Educational Computing Research, 22, 187-215.
103. Dorn, B. and Sanders, D. (2003) Using Jeroo to introduce object-oriented programming. In Proc. 33rd ASEE/IEEE Frontiers in Education Conference, Boulder, CO, November 5-8, pp. T4C22-T4C27. IEEE Computer Society Press, Los Alamitos, CA.
104. Lauer, T., Müller, R. and Ottmann, T. (2001) Animations for teaching purposes: now and tomorrow. Journal of Universal Computer Science, 7, 420-433.