This is a bibliography accreted over years for many reasons.
It is not and never will be complete.
Paul Brna
Computing Department
Lancaster
Cognition and Cognitive Modelling
- Anderson, J.R.
(1983).
-
The Architecture of Cognition.
Harvard University Press, Cambridge, Mass.
- Anzai, Y. and Uesato, Y.
(1982).
-
Learning recursive procedures by middleschool children.
In Proceedings of the Fourth Annual Conference of the Cognitive
Science Society, pages 100-102.
- Artificial Intelligence Laboratory, The University of Michigan,
Ann Arbor. (1992).
- SoarSIM: A Soar Simulation-Building
Tool User's Manual.
- Ausubel, D.P., Novak, J.D. and Hanesian, H.
(1978).
-
Educational Psychology: A Cognitive View.
Holt, Rinehart and Winston, New York.
- Bhaskar, R. and H.A., Simon.
(1977).
-
Problem solving in semantically rich domains:an example from
engineering thermodynamics.
Cognitive Science, 1:193-215.
- Boulanger, F.D.
(1976).
-
The effects of training in the proportional reasoning associated with
the concept of speed.
Journal of Research in Science Teaching, 13(2):145-154.
- Bruner, J.S.
(1959).
-
Inhelder and Piaget's the growth of logical thinking: 1. a
psychologists's viewpoint.
Brit. J. Psych., 50:363-370.
- Bruner, J.S.
(1966).
-
Towards a Theory of Instruction.
Harvard University Press.
- Chi, M.T.H., Bassok, M., Lewis, M.W., Reimann, P. and Glaser, R.
(1989).
-
Self explanations: How students study and use examples in learning to
solve problems.
Cognitive Science, 13(2):145-183.
- Clancey, W.J.
(1989).
-
The frame of reference problem in cognitive modelling.
In Proceedings of the 11th Annual Conference of the Cognitive
Science Society, pages 107-114.
- Ehri, L.C. and Muzio, I.M.
(1974).
-
Cognitive style and reasoning about speed.
Journal of Educational Psychology, 66:569-571.
- Ehrlich, K., Soloway, E. and Abbott, V.
(1982).
-
Styles of thinking: From algebra words problems to programming via
procedurality.
In Proceedings of the Fourth Annual Conference of the Cognitive
Science Society, pages 125-127.
- Entwistle, N.J.
(1978).
-
Knowledge structures and styles of learning: A summary of Pask's
recent research.
British Journal of Educational Psychology, 48:255-265.
- Feurzeig, W. and Ritter, F.
(1988).
-
Understanding reflective problem solving.
In Psotka, J., Massey, L.D. and Mutter, S.A., (eds.),
Intelligent Tutoring Systems: Lessons Learned, chapter 16, pages 435-450.
Lawrence Erlbaum Associates.
- Freed, M., Krulwich, B., Birnbaum, L. and Collins, G.
(1992).
-
Reasoning about performance intentions.
In Proceedings of the 14th Annual Conference of the Cognitive
Science Society. Lawrence Erlbaum Associates.
- Gagne, R.M.
(1977).
-
The Conditions of Learning.
Holt-Saunders, 3rd edition.
- Goldweic, P. and Hammond, K.J.
(1992).
-
Multi-agent interactions: A vocabulary of engagement.
In Proceedings of the 14th Annual Conference of the Cognitive
Science Society. Lawrence Erlbaum Associates.
- Hagert, G. and Hansson, A.
(1983).
-
Logic modelling of cognitive reasoning.
Technical Report 21, Computing Science Department, Uppsala
University.
- Hagert, G. and Hansson, A.
(1984).
-
Reasoning models within a logical framework.
UPMAIL Technical Report 25, Computing Science Department,
Uppsala University.
- Howe, J.A.M.
(1977).
-
Developmental stages in learning to program.
In Klix, F. and Hoffman, J., (eds.), Cognition and Memory:
Interdisciplinary Research of Human Memory Activities. North-Holland,
Amsterdam.
- Jansweijer, W.N.H. and Weilinga, B.J.
(1984).
-
Modelling novice problem solving behaviour.
In O'Shea, T., (ed.), ECAI-84: Advances in AI. Elsevier Science
Publishers.
- Jansweijer, W.N.H., Konst, L., Elshout, J.J. and Wielinga, B.J.
(1982).
-
Simulation of novice problem solving in physics.
In Proceedings of the nth European Conference on Artificial
Intelligence.
- Jansweijer, W.N.H., Elshout, J.J. and Weilinga, B.J.
(1985a).
-
Simulation of novice problem solving in physics.
VF-Memo 50, Institute for Cognitive Studies, University of Amsterdam.
- Jansweijer, W.N.H., Elshout, J.J. and Wielinga, B.J.
(1985b).
-
Simulation of novice problem solving in physics.
In Proceedings of the 9th International Joint Conference on
Artificial Intelligence.
- Jansweijer, W., Elshout, J.J. and Wielinga, B.
(1990).
-
On the multiplicity of learning to solve problems.
In Mandl, H., de Corte, E., Bennett, N. and Friedrich, H.F., (eds.),
Learning and Instruction: European Research in an International
Context, volume 2.1, pages 127-145. Pergamon Press, Oxford.
- Jones, R.M. and VanLehn, K.
(1991).
-
Strategy shifts without impasses: A computational model of the
sum-to-min transition.
In Proceedings of the 13th Annual Conference of the Cognitive
Science Society. Lawrence Erlbaum Associates.
- Jones, K. R.M. amd Vanlehn.
(1992).
-
A fine-grained model of skill acquisition: Fitting Cascade to
individual subjects.
In Proceedings of the 14th Annual Conference of the Cognitive
Science Society. Lawrence Erlbaum Associates.
- Katz, I. R. and Anderson, J.R.
(1987).
-
Debugging: An analysis of bug-location strategies.
Human-Computer Interaction, 3(4):351-399.
- Kessler, C.M. and Anderson, J.R.
(1986b).
-
A model of novice debugging in LISP.
In Soloway, E. and Iyengar, S., (eds.), Empirical Studies of
Programmers, chapter 14, pages 198-212. Ablex, Norwood, NJ.
- Koedinger, K.R. and Tabachneck, H.J.M.
(1994).
-
Two strategies are better than one: Multiple strategy use in word
problem solving.
Submitted to AERA'94.
- Lane, D.S.
(1986).
-
Systematic investigation of critical variables within a conditional
reasoning instructional system used with preadolescents.
Journal of Early Adolescence, 6(2):155-171.
- Langley, P. and Ohlsson, S.
(1984).
-
Automated cognitive modeling.
In Proceedings of the 4th National Conference on Artificial
Intelligence, pages 193-197, Los Altos, California. American Association
for Artificial Intelligence, William Kaufman.
- Larkin, J.
(1981).
-
Cognition of learning physics.
American Journal of Physics, 49(6):534-541.
- Larkin, J.H.
(1982).
-
A general knowledge structure for learning or teaching science.
C.I.P. 435, Carnegie-Mellon University.
- Larkin, J.H.
(1983).
-
The role of problem representation in physics.
In Gentner, D. and Stevens, A., (eds.), Mental Models. Lawrence
Erlbaum Press.
- Larkin, J., McDermott, J., Simon, D.P. and Simon, H.A.
p (1980a).
-
Expert and novice performance in solving physics problems.
Science, 208:1335-1342.
- Larkin, J.H., McDermott, J., Simon, D.P. and Simon, H.A.
(1980b).
-
Models of competence in solving physics problems.
Cognitive Science, 4:317-349.
- Lawson, A.E. and Renner, J.
(1975).
-
Relationship of science subject matter and development levels of
learners.
Journal of Research in Science Teaching, 12:347-358.
- Lawson, A.E. and Wollman, W.T.
(1976).
-
Encouraging the transition fron concrete to formal cognitive
functioning -an experiment.
Journal of Research in Science Teaching, 13:413-430.
- Lawson, A.E.
(1979).
-
Comment on cognitive level and college physics achievement.
American Journal of Physics, 47(7):652.
- Lefevre, J. and Dxion, P.
(1986).
-
Do written instructions always need examples.
Cognition and Instruction, 3:1-30.
- Longuet-Higgins, H.C.
(1987).
-
Mental Processes: Studies in Cognitive Science.
MIT Press, London.
- Marton, F. and Saljo, R.
(1976).
-
On qualitative differences in learning i - outcome and process.
Br. J. Ed. Psych, 46:4-11.
- Matsuno, T.
(1987).
-
Cognitive style and representational strategies in categorical
syllogisttic reasoning.
Tohoku Psychologica Folia, 46(1-4):97-102.
- Mayer, R.E.
(1976a).
-
Comprehension as affected by structure of problem representation.
Memory & Cognition, 4(3):249-255.
- Mayer, R.E.
(1976b).
-
Some conditions of meaningful learning for computer programming:
Advance organisers and subject control of frame order.
J. Ed. Psych., 68(2):143-150.
- Mayer, R.E.
(1987).
-
Learnable Aspects of Problem Solving: Some Examples, volume
Applications of Cognitive Psychology: Problem Solving, Education, and
Computing, chapter 9, pages 109-122.
Lawrence Erlbaum Associates.
- McDermott, J. and Larkin, J.
(1978).
-
Representing textbook physics problems.
In 2nd Conference of the Canadian Society for Computational
Studies of Intelligence, pages 156-164. University of Toronto Press.
- McKendree, J.
(1990).
-
Effective feedback content for tutoring complex skills.
Human-Comuter Interaction, 5(4):381-413.
- McKendree, J., Reader, W. and Hammond, N.
(1995).
-
Ready for committment: Constraining tools for learning.
- Megalagaki, O. and Tiberghien, A.
(1995).
-
Apprentissage de la modelisation par la resolution successive de
problemes.
In Proceedings of the European Conference on Cognitive Science
ECCS-95.
- Newell, A.
(1965).
-
Limitations of the current stock of ideas about problem solving.
In Kent, A. and Taulbee, O., (eds.), Electronic Information
Handling. Spartan Books.
- Novak, G.
(1977).
-
Representation of knowledge in a program for solving physics
problems.
In Reddy, R., (ed.), Proceedings of IJCAI-77. International
Joint Conference on Artificial Intelligence.
- Novick, L.R.
(1990).
-
Representational transfer in problem solving.
Psychological Science, 1(2):128-132.
- Ogborn, J.
(1987).
-
Computational modelling in science.
In Lewis, R. and Tagg, E.D., (eds.), Trends in Computer Assisted
Education, pages 148-166. Blackwell Scientic Publications, Oxford.
- O'Malley, C.
(May 1987).
-
Understanding explanation.
Cognitive Science Research Paper CSPR-088, Cognitive Studies
Programme, University of Sussex.
- Parsons, C.
(1960).
-
Inhelder and Piaget's the growth of logical thinking: A
logician's viewpoint.
British Journal of Psychology, 51:75-84.
- Payne, S.J. and Green, T.R.G.
(1986).
-
Task-action grammars: A model of the mental representation of task
languages.
Human-Computer Interaction, 2(2):93-133.
- Payne, S.J. and Squibb, H.R.
(1985).
-
Understanding algebra errors: the pyschological status of mal-rules.
CERCLE Technical Report 43, Departments of Psychology and Computing,
University of Lancaster.
- Payne, S.J. and Squibb, H.R.
(1990).
-
Algebra mal-rules and cognitive accounts of error.
Cognitive Science, 14(3):445-481.
- Payne, S.J., Squibb, H.R. and Howes, A.
(1990).
-
The nature of device models: The yoked state space hypothesis and
some experiments with text editors.
Human-Computer Interaction, 5(4):415-444.
- Pea, R.D. and Kurland, D.M.
(1983).
-
On the cognitive effects of learning computer programming.
Technical Report 9, Center for Children and Technology, Bank Street
College, New York.
- Piaget, J.
(1970).
-
The Child's Conception of Movement and Speed.
Routledge and Kegan Paul, London.
- Picciarelli, V. et al.
(1991a).
-
A study of university students' understanding of simple electric
circuits. part 1: Current in d.c. circuits.
European Journal of Engineering Education, 16(1):41-56.
- Picciarelli, V. et al.
(1991b).
-
A study of university students' understanding of simple electric
circuits. part 2: Batteries, ohm's law, power dissipated, resistors in
parallel.
European Journal of Engineering Education, 16(1):57-72.
- Polich, J.M. and Schwartz, S.H.
(1974).
-
The effect of problem size on representation in deductive problem
solving.
Memory & Cognition, 2(4):683-686.
- Rae, G., Carnie, T.R., Leonard, E.M., McCall, J. and Wilson, J.M.
(1977).
-
Acceleration in `O' grade physics.
Technical report, Aberdeen College of Education.
- Reimann, P.
(in press).
-
Modeling active, hypothesis-driven learning from worked-out examples.
In Corte, De et al, (eds.), Problem Solving and Computer
Environments. Springer-Verlag.
- Ross, B.H. and Kennedy, P.T.
(1990).
-
Generalizing from the use of earlier examples in problem solving.
Journal of Experimental Psychology: Learning, Memory and
Instruction, 16:42-55.
- Ross, B.H.
(1987a).
-
This is like that: the use of earlier problems and the separation of
similarity effects.
Journal of Experimental Psychology: Learning, Memory and
Instruction, 13:629-639.
- Scanlon, E. and O'Shea, T.
(1987).
-
Cognitive economy in physics reasoning: Implications for designing
instructional material.
Mandl, H. and Lesgold, A. (Editors) Learning Issues for Intelligent
Tutoring Systems.
- Scanlon, E. and O'Shea, T.
(1988).
-
Cognitive Economy in Physics Reasoning: Implications for
Designing Instructional Materials, chapter 11, pages 258-277.
Springer-Verlag, New York.
- Scanlon, E. and Smith, R.B.
(1987).
-
A rational reconstruction of a bubble chamber simulation using the
Alternate Reality Kit.
Technical Report 62, CAL Research Group, Open University.
- Scanlon, E.
(1982).
-
Improving problem solving in physics.
Technical Report 22, CAL Research Group, Open University.
- Scanlon, E., Hawkridge, C., Evertz, R. and O'Shea, T.
(1984).
-
Novice physics problem solving behaviour.
In O'Shea, T., (ed.), ECAI-84: Advances in AI. Elsevier Science
Publishers.
- Schrager, J. and Klahr, D.
(1986).
-
Instructionless learning about a complex device: the paradigm and
observations.
International Journal of Man-Machine Studies, 25:153-189.
- Sharples, M.
(1984).
-
Cognition, Computers and Creative Writing.
Unpublished Ph.D. thesis, Department of Artificial Intelligence,
Edinburgh.
- Sharples, M.
(1993).
-
A study of breakdowns and repairs in a computer-mediated
communication system.
Interacting with Computers, 5(1):61-77.
- Siegel, B. and Raven, R.
(1971).
-
The effect of manipulation of the compensatory concepts of speed,
force and work.
Journal of Research in Science Teaching, 8:373-378.
- Simon, D.P. and Simon, H.A.
(1978).
-
Individual differences in solving physics problems.
In Siegler, R., (ed.), Children's Thinking: What develops?
Lawrence Erlbaum, Hillsdale N.J.
- Simon, H., Langley, P.W. and Bradshaw, G.L.
(1980).
-
Scientific discovery as problem solving.
C.I.P. 424, Carnegie-Mellon University.
- Singley, M., Anderson, J.R., Gevins, J.S. and Hoffman, D.
(1989).
-
The algebra word problem tutor.
In Bierman, D., Breuker, J. and Sandberg, J., (eds.),
Artificial Intelligence: Synthesis and Reflection, pages 267-275,
Amsterdam. IOS.
- Skemp, R.R.
(1979).
-
Intelligence, Learning and Action.
John Wiley and Sons.
- Spohrer, J.C. and Soloway, E.
(1989).
-
Simulating student programmers.
In Sridharan, N.S., (ed.), Proceedings of the Eleventh
International Joint Conference on Artificial Intelligence, pages 543-549,
San Mateo. Morgan Kaufmann.
- Spohrer, J.C.
(1989).
-
MARCEL: A Generate-Test-and-Debug (GTD) Impasse/Repair Model
of Student Programmers.
Unpublished Ph.D. thesis, Yale University.
- Stich, S.P.
(1983).
-
From Folk Psychology to Cognitive Science: The Case Against
Belief.
MIT Press, London.
- Suchman, L. A.
(1987).
-
Plans and Situated Actions: The Problem of Human-Machine
Communication.
Learning in Doing: Social, Cognitive and Computational Perspectives.
Cambridge University Press, New York.
- Svennson, L.
(1977).
-
On qualitative differences in learning. iii -study skill and
learning.
Br. J. Ed. Psych., 47:233-243.
- Thagard, P.
(1982).
-
Programs, theories and models.
In Proceedings of the Fourth Annual Conference of the Cognitive
Science Society, pages 155-157.
- Tiberghien, A. and Delacote, G.
(1976).
-
Manipulations et representations de circuits electrique simples chez
les enfants de 7 a 12 ans.
Revue Francais de Pedagogie, 34.
- Tiberghien, A.
(1994).
-
Modeling as the basis for analyzing teaching-learning situations.
Learning and Instruction, 4:71-87.
- Towler, J.O. and Wheatley, G.
(1971).
-
Conservation concepts in college students: A replication and
critique.
J. Genetic Psychol., 118:265-270.
- Trowbridge, D.E. and McDermott, L.C.
(1980).
-
Investigation of student understanding of the concept of velocity in
one dimension.
American Journal of Physics, 48(12):1020-1028.
- Trowbridge, D.E. and McDermott, L.C.
(1981).
-
Investigation of student understanding of the concept of acceleration
in one dimension.
American Journal of Physics, 49(3):242-253.
- VanLehn, K. and Garlick, S.
(1987).
-
Cirrus: An automated protocol analysis tool.
In Langley, P., (ed.), Proceedings of the Fourth International
Workshop on Machine Learning, pages 205-217. Morgan Kaufman.
- VanLehn, K.
(1983).
-
Felicity conditions for human skill acquisition: Validating an
AI-based theory.
Technical Report CIS-21, Palo Alto Research Center, Xerox.
- VanLehn, K.
(1988).
-
Student modelling.
In Polson, M.C. and Richardson, J.J., (eds.), Foundations of
Intelligent Tutoring Systems, chapter 3, pages 55-78. Lawrence
Erlbaum Associates, Hillsdale, New Jersey.
- VanLehn, K.
(1989).
-
Towards a theory of impasse-driven learning.
In Mandl, H. and Lesgold, A., (eds.), Learning Issues for
Intelligent Tutoring Systems, chapter 2, pages 19-41. Springer-Verlag, New
York.
- VanLehn, K., Ball, W. and Kowalski, B.
(1990).
-
Explanation-based learning of correctness: Towards of a model of the
self-explanation effect.
In Proceedings of the 12th Annual Conference of the Cognitive
Science Society, pages 717-724, Hillsdale, New Jersey. Lawrence Erlbaum
Associates.
- VanLehn, K., Jones, R.M. and Chi, M.T.H.
(1991).
-
Modeling the self-explanation effect with cascade 3.
In Proceedings of the 13th Annual Conference of the Cognitive
Science Society. Lawrence Erlbaum Associates.
- von Rhoeneck, C. and Grob, K.
(1990).
-
Psychological aspects of learning about electricity.
In Mandl, H., de Corte, E., Bennett, N. and Friedrich, H.F., (eds.),
Learning and Instruction: European Research in an International
Context, volume 2.2, pages 589-603. Pergamon Press, Oxford.
- White, R.T. and Clark, R.M.
(1973).
-
A test of inclusion which allows for errors of measurement.
Psychometrika, 38(1):77-86.
- White, B.Y.
(1989).
-
The role of intermediate abstractions in understanding science and
mathematics.
In Proceedings of the 11th Annual Conference of the Cognitive
Science Society, pages 972-979.
- Wilkening, F.
(1981).
-
Integrating velocity, time and distance information: A developmental
study.
Cognitive Psychology, 13:231-247.
- Wilkinson, D.
(1973).
-
A study of some concepts involving electricity.
Unpublished M.Sc. thesis, University of Leeds.
- Williams, D.J.
(1976).
-
A study of some aspects of the growth in GCE O level candidates
of the concept of momentum.
Unpublished M.Sc. thesis, University of Leeds.
- Williams, M.D.
(1983).
-
Human reasoning about a simple physical system.
In Gentner, D. and Stevens, A., (eds.), Mental Models. Lawrence
Erlbaum Press.
- Young, R. and O'Shea, T.
(1981).
-
Errors in children's subtraction.
Cognitive Science, 5:153-177.
- Young, R.M.
(1983).
-
Surrogates and mappings: Two kinds of conceptual models for
interactive devices.
In Gentner, D. and Stevens, A., (eds.), Mental Models. Lawrence
Erlbaum Press.
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