Cheng, P. C. H., & Rojas-Anaya, H. (2008). A Graphical Chunk Production Model: Evaluation Using Graphical Protocol Analysis with Artificial Sentences. In B. C. Love, K. McRae & V. M. Sloutsky (Eds.), Proceedings of the Thirtith Annual Conference of the Cognitive Science Society (pp. 1972-1977). Austin, TX: Cognitive Science Society.
Cheng, P. C. H., & Rojas-Anaya, H. (2007). Measuring Mathematical Formula Writing Competence: An Application of Graphical Protocol Analysis. In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the Twenty Nineth Annual Conference of the Cognitive Science Society (pp. 869-874). Austin, TX: Cognitive Science Society.
Cheng, P. C.-H., & Barone, R. (2007). Representing complex problems: A representational epistemic approach. In D. H. Jonassen (Ed.), Learning to solve complex scientific problems. (pp. 97-130). Mahmah, N.J.: Lawrence Erlbaum Associates.
Cheng, P. C. H., & Rojas-Anaya, H. (2006). A temporal signal reveals chunk structure in the writing of word phrases. In Proceedings of the Twenty Eighth Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.
Wood, S., Cox, R., & Cheng, P. C.-H. (2006). Attention Design: Eight issues to consider. Computers in Human Behaviour, 22(4), 588-602.
Cheng, P. C. H., & Rojas-Anaya, H. (2005). Writing out a temporal signal of chunks: patterns of pauses reflect the induced structure of written number sequences. In B. G. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the Twenty Seventh Annual Conference of the Cognitive Science Society (pp. 424-429). Mahwah, NJ: Lawrence Erlbaum.
Barone, R., & Cheng, P. C.-H. (2004).
Representations for problem solving: on the benefits of integrated
structure. In E. Banissi, K. Börner, C. Chen, et al. (Eds.),
Proceedings of the 8th International Conference on Information
Visualisation (pp. 575-580). Los Alamitos, CA: IEEE.
Peebles, D. J., & Cheng, P. C.-H.
(2003).
Modelling the effect of task and graphical representations on response
latencies in a graph-reading task. Human factors 45(1).
Cheng, P. C.-H., & Shipstone,
D. M. (2003). Supporting learning and promoting conceptual change
with box and AVOW diagrams. Part 1: Representational design and
instructional approaches. International Journal of Science Education,
25(2), 193-204.
Cheng, P. C.-H., & Shipstone,
D. M. (2003). Supporting learning
and promoting conceptual change with box and AVOW diagrams. Part 2:
Their impact on student learning at A-level. International Journal of
Science
Education, 25(3), 291-305.
Cheng, P. C. H. (2003).
Diagrammatic re-codification of probability theory: A representational
epistemological study. In Proceedings of the Twenty Fifth Annual
Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence
Erbaum.
Cheng, P. C.-H., & Pitt,
N.
G. (2003). Diagrams for difficult problems in probability.
Mathematical
Gazette, 87(508), 86-97.
Cheng, P. C.-H. (2002).
Electrifying diagrams for learning: principles for effective
representational systems. Cognitive Science, 26(6), 685-736.
Katz, I. R., Xi, X., Kim, H.-J.,
&
Cheng, P. C. H. (2002). Graph Structure Supports Graph Description.
In W. Gray & C. Schunn (Eds.), Proceedings of the Twenty Fourth
Annual Conference of the Cognitive Science Society (pp. 530-535).
Mahwah, NJ:
Lawrence Erbaum.
Peebles, D. J., & Cheng, P. C.-H.
(2002).
Extending task analytic model of graph-based reasoning: A cognitive
model
of problem solving with Cartesian graphs in ACT-R/PM. Journal of
Cognitive
Systems Research, 2, 77-86.
Cheng, P. C.-H., Barone, R.,
Cowling, P. I., & Ahmadi, S. (2002). Opening the information
bottleneck
in complex scheduling problems with a novel representation: STARK
diagrams. In M. Hegarty, B. Meyer & N. H. Narayanan (Eds.),
Diagrammatic representations and inference: Second International
Conference, Diagrams 2002 (pp. 264-278). Berlin: Springer-Verlag.
Cowling, P. I., Ahmadi, S., Cheng, P.
C.-H., & Barone, R. (2002). Combining human and machine
intelligence to produce effective examination timetables. In
L.Wang, K. Tan, C. Furuhashi., J-H Kim, and X. Yao (Eds.),
Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution
And Learning (SEAL2002), Singapore; (pp 662-666). (ISBN 981-04-7523-3).
Shipstone, D. M., & Cheng,
P. C.-H. (2002). Electric circuits: A
new approach - part 2. School Science Review, 83(304), 73-81.
Shipstone, D. S., & Cheng,
P. C.-H. (2001). Electric circuits: A
new approach - part 1. School Science Review, 83(303), 55-63.
Cheng, P. C.-H., McFadzean, J.,
&
Copeland, L. (2001). Drawing out the temporal structure of induced
perceptual chunks. In J. D. Moore & K. Stenning (Eds.), Proceedings
of the Twenty Third Annual Conference of the Cognitive Science Society
(pp. 200-205). Mahwah, New Jersey: Lawrence Erbaum.
Cheng, P. C.-H. (2001).
Artificial
intelligence: scientific reasoning, computational models. In N. J.
Smelser
& P. B. Baltes (Eds.), International Encyclopedia of the Social and
Behavioral
Sciences (pp. 13731-13733): Elsevier.
Cheng, P. C.-H. (2001). AVOW Diagrams: A Novel Representational
System for Understanding Electricity. In M. Anderson, B. Meyer & P.
Olivier (Eds.), Diagrammatic Representation and Reasoning (pp.
512-534). Berlin: Springer.
Peebles, D. J., & Cheng, P. C.-H. (2001). Graph-based reasoning:
from task analysis to cognitive explanation. In J. D. Moore & K.
Stenning (Eds.), Proceedings of the Twenty Third Annual Conference of
the Cognitive Science Society (pp. 762-767). Mahwah, NJ: Lawrence
Erbaum.
Cheng, P. C.-H., Cupit, J., & Shadbolt, N. R. (2001). Supporting
diagrammatic knowledge acquisition: An ontological analysis of
Cartesian Graphs. International Journal of Human Computer Studies, 54,
457-494.
Cheng, P. C.-H., Lowe, R.
K., & Scaife, M. (2001). Cognitive science approaches to
diagrammatic representations. Artificial Intelligence Review, 15(1-2),
79-94. Anderson, M., Cheng, P. C.-H., & Haarslev, V. (Eds.).
(2000). Theory and Application of Diagrams: First International
Conference, Diagrams 2000. Berlin: Springer.
Gobet, F., Lane, P. C. R., Croker, S., Cheng, P. C.-H., Jones, G., Oliver, I., et al. (2001). Chunking mechanisms in human learning. Trends in Cognitive Science, 5(6), 236-243.
Lane, P., Cheng, P. C.-H., & Gobet, F. (2000). CHREST+:
Investigating how humans learn to solve problems using diagrams. AISB
Quarterly, 103, 24-30.
Lane, P., Gobet, F., & Cheng, P.
C.-H. (2000). Leaning-based constraints on schemata. In L. R.
Gleitman &
A. K. Joshi (Eds.), Proceedings of the 22nd Annual Conference of the
Cognitive Science Society (pp. 776-781). Mahwah, NJ: Lawrence Erlbaum.
Cheng, P. C.-H. (1999). Unlocking
conceptual learning in mathematics and science with effective
representational systems. Computers in Education, 33(2-3), 109-130.
Cheng, P. C.-H. (1999).
Interactive law encoding diagrams for learning and instruction.
Learning and Instruction, 9(4), 309-326.
Cheng, P. C.-H. (1999).
Networks of Law Encoding Diagrams for understanding science. European
Journal of Psychology of Education, 14(2), 167-184. (Tables and Figures)
Cheng, P. C.-H. (1999). (Part a, b, c) Representational analysis and design: What makes an effective representation for learning probability theory? (Technical report No. 65): ESRC Centre for Research in Development, Instruction & Training.
Lane, P. C. R., Cheng, P. C.-H., & Gobet, F. (1999). Learning
perceptual schemas to avoid the utility problem. In M.Bramer,
A.Macintosh & F.Coenen (Eds.), Research and Development in
Intelligent Systems XVI: Proceedings of ES99, the Nineteenth SGES
International Conference on Knowledge Based Systems and Applied
Artificial Intelligence (pp. 72-82). Cambridge, UK: Springer.
Peebles, D. J., Cheng, P. C.-H., & Shadbolt, N. R. (1999). Multiple processes in graph-based reasoning. In M. Hahn & S. C. Stoness (Eds.), Proceedings of the Twenty First Annual Conference of the Cognitive Science Society (pp. 531-536). Hillsdale, NJ: Lawrence Erlbaum.
Cheng, P. C.-H. (1998). A
framework
for scientific reasoning with Law Encoding Diagrams: Analysing
protocols
to assess its utility. In M. A. Gernsbacher & S. J. Derry (Eds.),
Proceedings
of the Twentieth Annual Conference of the Cognitive Science Society
(pp.
232-235). Hillsdale, NJ: Lawrence Erlbaum.
Cheng, P. C.-H. (1997). Components
of
a Cognitive Theory of Problem Solving and Discovery with Law Encoding
Diagrams. In M. Anderson (Ed.), Reasoning with Diagrammatic
Representations: Papers from the 1997 Fall Symposium (pp. 85-93). Menlo
Park, CA: AAAI.
Cheng, P. C.-H. (1996). Scientific discovery with law encoding diagrams. Creativity Research Journal, 9(2&3), 145-162.
Cheng, P. C.-H. (1996). Law encoding diagrams for instructional
systems. Journal of Artificial Intelligence in Education, 7(1), 33-74.
Cheng, P. C.-H. (1996).
Diagrammatic knowledge acquisition: Elicitation, analysis and issues.
In N. R. Shadbolt, H. O'Hara & G. Schreiber (Eds.), Advances in
Knowledge Acquisition: 9th European Knowledge Acquisition Workshop,
EKAW'96. (pp. 179-194). Berlin: Springer-Verlag.
Cheng, P. C.-H. (1996).
Learning qualitative relations in physics with Law Encoding Diagrams.
In G. W.
Cottrell (Ed.), Proceedings of the Eighteenth Annual Conference of the
Cognitive Science Society (pp. 512-517). Hillsdale, NJ: Lawrence
Erlbaum.
Cheng, P. C.-H. (1996). Functional roles for the cognitive analysis of diagrams in problem solving. In G. W. Cottrell (Ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 207-212). Hillsdale, NJ: Lawrence Erlbaum.
Cheng, P. C.-H. (1996). Problem solving and learning with
diagrammatic representations. In D. Peterson (Ed.), Forms of
Representation (pp. 47-66). Exeter, U.K.: Intellect Books.
Cheng, P. C.-H., & Simon, H. A. (1995). Scientific discovery and creative reasoning with diagrams. In S. Smith, T. Ward & R. Finke (Eds.), The Creative Cognition Approach (pp. 205-228). Cambridge, MA: MIT Press.