At this time, when many scholars are studying human-computer interaction, there is no dominant paradigm or model of students' conceptions of Human-Computer Interaction (HCI). This article presents an HCI conceptions model that proposes a division between operational errors and underlying conceptions. The two types of operational errors discussed are syntactic and algorithmic. The three types of underlying conceptions discussed are based on natural language reasoning, independent computer reasoning, and alternative or incomplete reasoning. The proposed categories and explanations may be the basis from which a detailed taxonomy of HCI literacy can be developed.
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References
1.
BrownD. E., An Evolving Framework for Interpreting Students' Conceptions, paper presented at the annual meeting of the American Educational Research Association, San Francisco, California, April 1992.
2.
BrownD. E., Refocusing Core Intuitions: A Concretizing Role for Analogy in Conceptual Change, Journal of Research in Science Teaching, 30: 10, pp. 1273–1290, 1993.
3.
BaymanP. and MayerR. E., A Diagnosis of Beginning Programmers' Misconceptions of BASIC Programming Statements, Communications of the ACM, 26: 9, pp. 677–679, 1983.
4.
MayerR. E., Cognitive Aspects of Learning and Using a Programming Language, in Interfacing Thought: Cognitive Aspects of Human-Computer Interactions, CarrollJ. N. (ed.), MIT Press, Cambridge, Massachusetts, pp. 61–79, 1987.
5.
Du BoulayB., Some Difficulties of Learning to Program, Journal of Educational Computing Research, 2: 1, pp. 57–73, 1986.
6.
SegalJ.AhmadK., and RogersM., The Role of Systematic Errors in Developmental Studies of Programming Language Learners, Journal of Educational Computing Research, 8: 2, pp. 129–153, 1992.
7.
SpohrerJ. C. and SolowayE., Analyzing the High Frequency Bugs in Novice Programs, in Empirical Studies of Programmers, SolowayE. and IyengarS. (eds.), Ablex, Norwood, New Jersey, pp. 230–251, 1986.
8.
SpohrerJ. C. and SolowayE., Novice Mistakes: Are the Folk Wisdoms Correct?Communications of the ACM, 29: 7, pp. 624–632, 1986.
9.
OliverR., Measuring Hierarchical Levels of Programming Knowledge, Journal of Educational Computing Research, 9: 3, pp. 299–312, 1993.
10.
PeaR. D., Language-Independent Conceptual “Bugs” in Novice Programming, Journal of Educational Computing Research, 2: 1, pp. 25–36, 1986.
11.
BonarJ. and SolowayE., Preprogramming Knowledge: A Major Source of Misconceptions in Novice Programmers, Human-Computer Interaction, 1: 2, pp. 133–161, 1985.
12.
SleemanD.PutnamR. T.BaxterJ. A., and KuspaL. K., Pascal and High School Students: A Study of Errors, Journal of Educational Computing Research, 2: 1, pp. 5–23, 1986.
13.
PutnamR. T.SleemanD.BaxterJ. A., and KuspaL. K., A Summary of Misconceptions of High School BASIC Programmers, Journal of Educational Computing Research, 2: 4, pp. 459–472, 1986.
14.
KurlandD. M. and PeaR. D., Children's Mental Models of Recursive Logo Programs, in Studying the Novice Programmer, SolowayE. and SpohrerJ. C. (eds.), Lawrence Erlbaum, Hillsdale, New Jersey, pp. 315–323, 1989.
15.
KieranC., Concepts Associated with the Equality Symbol, Educational Studies of Mathematics, 12: 3, pp. 317–326, 1981.
16.
SolowayE.EhrlichK.BonarJ., and GreenspanJ., What Do Novices Know about Programming? in Directions in Human-Computer Interaction, BadreA. and ShneidermanB. (eds.), Ablex, Norwood, New Jersey, pp. 27–54, 1982.
17.
KahneyH., What do Novice Programmers Know about Recursion? in Studying the Novice Programmer, SolowayE. and SpohrerJ. C. (eds.), Lawrence Erlbaum, Hillsdale, New Jersey, pp. 209–228, 1989.
18.
KesslerC. M. and AndersonJ. R., Learning Flow of Control: Recursive and Iterative Procedures, Human-Computer Interaction, 2: 2, pp. 135–166, 1988.
19.
PirolliP. and AndersonJ. R., The Role of Learning from Examples in the Acquisition of Recursive Programming Skills, Canadian Journal of Psychology, 39: 2, pp. 240–272, 1985.
20.
SinhaA. P. and VesseyI., Cognitive Fit: An Empirical Study of Recursion and Iteration, IEEE Transactions on Software Engineering, 18: 5, pp. 368–379, 1992.
