| Synthesis and analysis of automatic assessment methods in CS1: generating intelligent MCQs |
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Technical Symposium on Computer Science Education
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Proceedings of the 36th SIGCSE technical symposium on Computer science education
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St. Louis, Missouri, USA
SESSION: Assessing student learning
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Pages: 495 - 499
Year of Publication: 2005
ISBN:1-58113-997-7
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Authors
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Des Traynor
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National University of Ireland, Maynooth Co. Kildare, Ireland
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J. Paul Gibson
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National University of Ireland, Maynooth Co. Kildare, Ireland
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Downloads (6 Weeks): 1, Downloads (12 Months): 60, Citation Count: 2
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ABSTRACT
This paper describes the use of random code generation and mutation as a method for synthesising multiple choice questions which can be used in automated assessment. Whilst using multiple choice questions has proved to be a feasible method of testing if students have suitable knowledge or comprehension of a programming concept, creating suitable multiple choice questions that accurately test the students' knowledge is time intensive.This paper proposes two methods of generating code which can then be used to closely examine the comprehension ability of students. The first method takes as input a suite of template programs, and performs slight mutations on each program and ask students to comprehend the new program. The second method performs traversals on a syntax tree of possible programs, yielding slightly erratic but compilable code, again with behaviour that students can be questioned about. As well as generating code these methods also yield alternative distracting answers to challenge the students. Finally, this paper discusses the gradual introduction of these automatically generated questions as an assessment method and discusses the relative merits of each technique.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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R. F. Biehler and J. Snowman. Psychology Applied to Teaching. Houghton Mifflin Company, 8th edition, 1997.
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2
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B. S. Bloom and D. R. Krathowl. Taxonomy of educational objectives. McKay & Co, 1956.
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3
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4
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B. duBoulay. Some difficulties of learning to program. In E. Soloway and J. C. Spohrer, editors, Studying the Novice Programmer, chapter 15, pages 283--301. Lawrence Erlbaum Associates, 1989.
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5
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6
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Maria Hristova , Ananya Misra , Megan Rutter , Rebecca Mercuri, Identifying and correcting Java programming errors for introductory computer science students, Proceedings of the 34th SIGCSE technical symposium on Computer science education, February 19-23, 2003, Reno, Navada, USA
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7
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8
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9
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Raymond Lister , John Leaney, Introductory programming, criterion-referencing, and bloom, Proceedings of the 34th SIGCSE technical symposium on Computer science education, February 19-23, 2003, Reno, Navada, USA
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10
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Michael McCracken , Vicki Almstrum , Danny Diaz , Mark Guzdial , Dianne Hagan , Yifat Ben-David Kolikant , Cary Laxer , Lynda Thomas , Ian Utting , Tadeusz Wilusz, A multi-national, multi-institutional study of assessment of programming skills of first-year CS students, ACM SIGCSE Bulletin, v.33 n.4, December 2001
[doi> 10.1145/572139.572181]
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12
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R. Putnam, D. Sleeman, J. Baxter and, and L. Kuspa. A summary of misconceptions of high school BASIC programmers. Journal of Educational Computing Research, 2:459--472, 1986.
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13
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14
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15
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16
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R. C. Sprinthall, N. A. Sprinthall, and S. N. Oja. Educational Psycholgy. McGraw-Hill Education, 7th edition, 1998.
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