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Parameter passing: the rules the students construct

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Ann E. FleuryAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 23, Issue 1

Pages 283 - 286

https://doi.org/10.1145/107005.107066

Published: 01 March 1991 Publication History

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References

[1]

Carrasquel, J., Roberts, J.,g~ Pane, J. (1989). The design tree: A visual approach to top-down design and data flow. SIGCSE Bulletin, 21(1), 17-21.

Digital Library

Google Scholar

[2]

Du Boulay, B. (1986). Some difficulties of learning to program. Journal of Educational Computing Research, 2(1), 57-73.

Crossref

Google Scholar

[3]

Eylon, B. & Lima, M. (1988). Learning and instruction: An examination of four research perspectives in science education. Review of Educational Research, 58(3), 251-301.

Crossref

Google Scholar

[4]

Forman, G. & Pufall, P. (1988). Constructivism in the computer age: A reconstructive epilogue. In G. Forman & P. Pufall (Eds.), Constructivism in the computer age (pp. 235-250). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google Scholar

[5]

Mayer, R. (1975). Different problem-solving competencies established in learning computer programming with and without meaningful models. Journal of Educational Psychology, 67(6), 725-734.

Crossref

Google Scholar

[6]

PapeR, S. (1988). The conservation of Piaget: The computer as grist to the eonstructivist mill. In G. Forman & P. Pufall (Eds.), Constructivism in the comouter age (pp. 3-13). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google Scholar

[7]

Pea, R., & Kurland, D. M. (1987). On the cognitive effects of learning computer programming. In R. Pea & K. Sheingold (Eds.), Mirrors of minds: Patterns of experience in educational comouting (pp. 147-177). Norwood, NJ: Ablex.

Digital Library

Google Scholar

[8]

Sleeman, D., Putnam, R., Baxter, J., & Kuspa, L. (1986). Pascal and high-school students: A study of errors. Journal of Educational Com_outing Research, 2(1), 5-23.

Crossref

Google Scholar

[9]

Soloway, E., Bonar, J., & Ehrlich, K. (1983). Cognitive strategies and looping constructs: An empirical study. Communications of the ACM, 26(I 1), 853-860.

Digital Library

Google Scholar

[10]

Soloway, E. & Ehrlich, K. (1984). Empirical studies of programming knowledge. IEEE Transactions on Software Engineering, 10(5), 595-609.

Digital Library

Google Scholar

[11]

Soloway, E., Ehrlich, K., Bonar, J., & Greenspan, J. (1982). What do novices know about programming? In B. Shneiderman & A. Badre (Eds.), Directions in human-computer interactions (pp. 27-54). Norwood, NJ: Ablex.

Google Scholar

[12]

Spohrer, J., & Soloway, E. (1986). Novice mistakes: Are the folk wisdoms correct? Communications of the ACM, 29(7), 624-632.

Digital Library

Google Scholar

Cited By

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Vieira CVásquez AMeza FQuintero-Manes RGodoy P(2024)Identifying Difficult Questions and Student Difficulties in a Spanish Version of a Programming Assessment Instrument (SCS1)ACM Transactions on Computing Education10.1145/366592124:3(1-17)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3665921
Zhang ATang XOney SChen YJoyner DKim MWang XXia M(2024)CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at ScaleProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3662025(188-199)Online publication date: 9-Jul-2024
https://dl.acm.org/doi/10.1145/3657604.3662025
Lu KKrishnamurthi S(2024)Identifying and Correcting Programming Language Behavior MisconceptionsProceedings of the ACM on Programming Languages10.1145/36498238:OOPSLA1(334-361)Online publication date: 29-Apr-2024
https://dl.acm.org/doi/10.1145/3649823
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Index Terms

Parameter passing: the rules the students construct
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language features
      2. Language types

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Published: 01 March 1991

Published in SIGCSE Volume 23, Issue 1

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Vieira CVásquez AMeza FQuintero-Manes RGodoy P(2024)Identifying Difficult Questions and Student Difficulties in a Spanish Version of a Programming Assessment Instrument (SCS1)ACM Transactions on Computing Education10.1145/366592124:3(1-17)Online publication date: 14-Jun-2024
https://dl.acm.org/doi/10.1145/3665921
Zhang ATang XOney SChen YJoyner DKim MWang XXia M(2024)CFlow: Supporting Semantic Flow Analysis of Students' Code in Programming Problems at ScaleProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3662025(188-199)Online publication date: 9-Jul-2024
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Lu KKrishnamurthi S(2024)Identifying and Correcting Programming Language Behavior MisconceptionsProceedings of the ACM on Programming Languages10.1145/36498238:OOPSLA1(334-361)Online publication date: 29-Apr-2024
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Fisler KKrishnamurthi STunnell Wilson PCaspersen MEdwards SBarnes TGarcia D(2017)Assessing and Teaching Scope, Mutation, and Aliasing in Upper-Level UndergraduatesProceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education10.1145/3017680.3017777(213-218)Online publication date: 8-Mar-2017
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An empirical study on API parameter rules

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