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Learning to program = learning to construct mechanisms and explanations

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E. SolowayAuthors Info & Claims

Communications of the ACM, Volume 29, Issue 9

Pages 850 - 858

https://doi.org/10.1145/6592.6594

Published: 01 September 1986 Publication History

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Abstract

Teaching effective problem-solving skills in the context of teaching programming necessitates a revised curriculum for introductory computer programming courses.

References

[1]

Adelson. B. Problem solving and tht: development of abstract categories in programming languages. Mem. Cognitior~ 9 (1981), 422-433.

Crossref

Google Scholar

[2]

Adelson. B., and Soloway. E. The role of domain experience in software design. IEEE Trans. Softw. Eng. (Nov. 1975).

Digital Library

Google Scholar

[3]

Bartlett, F.C. Remembering. University Press. Cambridge, Mass., 1932.

Google Scholar

[4]

Bower, G.H., Black, J.B., and Turner. T. Scripts in memory for text. Cognitive Psychd. 17 (1979). 177-220.

Google Scholar

[5]

Brooks. R. Towards a theory of the comprehension of computer programs. ItIt. J. Man-Mach. Stud. 18 (1983), 543-554.

Crossref

Google Scholar

[6]

Chase, W.C. and Simon, H. Perception in chess. Cognitive Psychol. 4 (19731, 55-81.

Crossref

Google Scholar

[7]

Collins, A. Explicating the tacit knowledge in teaching and learning. Tech. Rep. 3889. Bolt, Beranek and Newman, Cambridge, Mass., 1978.

Google Scholar

[8]

Curtis. B. Tutorial: Human Factors in Software Development. IEEE Computer Society, 1985.

Digital Library

Google Scholar

[9]

Graesser, A.C. Prose Comprehension beyond the Word. Springer-Verlag. New York, 1981.

Crossref

Google Scholar

[10]

Howe. J.A.M. O'Shea, T., and Plane, J. Teaching mathematics through Logo programming. Tech. Rep. 115, Artificial Intelligence, Univ. of Edinburgh, Scotland. 1979.

Google Scholar

[11]

Johnson, W.L. Intention-based diagnosis of errors in novice programs. Ph.D. thesis 246. Dept. of Computer Science, Yale Univ., New Haven, Corm. 1985.

Digital Library

Google Scholar

[12]

Joni. S. and Soloway. E. But my program runs! Discourse rules for novice programmers. J. Educ. Comput. Res. To be published.

Google Scholar

[13]

Kant. E. and Newell. A. Problem solving techniques for the design of algorithms. Tech. Rep. CMU-C S-82-145, Dept. of Computer Science, Carnegie-Mellon Univ., Pittsburgh, Pa., 198'2.

Google Scholar

[14]

Kernighan. B. and Plauger. P. The EJements of Style. McGraw-Hill, New York. 1978.

Google Scholar

[15]

Larkin. I. McDermott. I., Simon, D. and Simon. H. Expert and novice performance in solving physics problems. Science 208 (198), 140-156.

Google Scholar

[16]

Ledgard. H., Hueras, J. and Nagin, P. Pascal with Style: Programming Proverbs. Hayden Book Co., Rochelle Park, N.J., 1979.

Google Scholar

[17]

Linn. MC. The cognitive consequences of programming instruction in classrooms. Educ. Res. 14, 5 (1985). 14-29.

Crossref

Google Scholar

[18]

Littman, D., Pinto. I., Letovsky, S., and Soloway, E. Software maintenance and mental models. In Empirical Studies of Programmers, E. Soloway and S. lyengar. Eds. Ablex, New York, 1986.

Digital Library

Google Scholar

[19]

McKeithen. K.B. Reitman, J.S. Rueter. H.H., and Hirtle, S.C. Knowledge organization and skill differences in computer programmers. Cognifiue Psychol. 13 (1981), 307-325.

Crossref

Google Scholar

[20]

Michener. E.R. Understanding understanding mathematics. Cognitive Sci. 2 (1978). 283-327.

Google Scholar

[21]

Papert. S. Mindstorms, Children, Compufers and Powerful Ideas. Basic Books, New York, 1980.

Digital Library

Google Scholar

[22]

Parnas, D. Software aspects of strategic defense systems. Am. Sci. 73 (1985). 432-440.

Google Scholar

[23]

Pea. R., and Kurland, D. Logo programming and the development of planning skills. Tech. Rep. 16, Center for Children and Technology, Bank Street College of Education, New York, 1984.

Google Scholar

[24]

Resnick, L. Mathematics and science learning: A new conception. Science 220 (19831, 477-478.

Crossref

Google Scholar

[25]

Rich. C. Inspection methods in programming. Tech. Rep. AI-TR-604, AI Laboratory, MIT, Cambridge, Mass., 1981.

Digital Library

Google Scholar

[26]

Schank. R.C., and Abelson, R. Scripts, Plans, Goals and Understanding. Lawrence Erlbaum Associates, Hillsdale, N.J., 1977.

Google Scholar

[27]

Shneiderman, B. Exploratory experiments in programmer behavior. Jut. 1. Comput. Juf. Sri. 5, 2 (1976). 123-143.

Google Scholar

[28]

Shneiderman, B. Software Psychology: Human Factors in Compufer and Information Systems. Winthrop Publishers. Cambridge, Mass. 1980.

Digital Library

Google Scholar

[29]

Soloway, E. From problems to programs via plans: The content and structure of knowledge for introductory LISP programming. I. Educ. Comput. Res. (Summer 1985).

Google Scholar

[30]

Soloway, E. Programming and problem solving in Pascal. In preparation.

Google Scholar

[31]

Soloway, E., and Ehrlich, K. Empirical studies of programming knowledge. IEEE Trans. Softw. Eng. SE-IO. 5 (1984). 595-609.

Google Scholar

[32]

Soloway, E., and Iyengar. S. Empirical Studies of Programmers. Ablex, New York, 1986.

Digital Library

Google Scholar

[33]

Soloway. E., Lochhead, J. and Clement, J. Does computer programming enhance problem solving ability? Some positive evidence on algebra word problems. In Computer Literacy, R. Seidel, B. Hunter, and R. Anderson, Eds. Academic Press, New York, 1982, pp. 171-215.

Google Scholar

[34]

Soloway. E. Ehrlich, K. Bonar, J. and Greenspan. J. What do novices know about programming? In Directions in Human-Computer Interactions, A. Badre and B. Shneiderman. Eds. Ablex. New York, 1982.

Google Scholar

[35]

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

Digital Library

Google Scholar

[36]

Spohrer, J., and Soloway. E. Analyzing the high-frequency bugs in novice programs. In Empirical Studies of Programmers, E. Soloway and S. Iyengar. Eds. Ablex. New York, 1986.

Digital Library

Google Scholar

[37]

Spohrer. J., Soloway, E., and Pope, E. A goal/plan analysis of buggy Pascal programs. Hum.-Comput, Inferaction 1, 2 (1985).

Google Scholar

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Learning to program = learning to construct mechanisms and explanations

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Published In

Communications of the ACM Volume 29, Issue 9

Sept. 1986

82 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/6592

Editor:
P. J. Denning
NASA Ames Research Center. Moffett Field, CA

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 September 1986

Published in CACM Volume 29, Issue 9

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References

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Index Terms

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Project-based learning in a virtual internship programme

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