Cognitive Characteristics for Learning C++

Bibliography

• Andrew, A.W. “The Differential Roles of Right and Left Sides of the Brain in Memory Formation,” Behavioral Brain Research, 98:2, 1999, pp. 289–295.
   PubMed Web of Science ®Google Scholar
• Azzedine, A. “The Relationship of Cognitive Development, Cognitive Style and Experience to Performance on Selected Computer Programming Tasks: An Exploration,” Dissertation Abstracts B48(6), 1987, p. 1799.
   Google Scholar
• Brainard, C.J. Piaget's Theory of Intelligence. Englewood Cliffs, NJ: Prentice-Hall, 1978.
   Google Scholar
• Bryden, M.P. “Choosing Sides: The Left and Right of the Normal Brain,” Canadian Psychology, 31:4, 1990, pp. 297–309.
   Web of Science ®Google Scholar
• Cafolla, R. “The Relationship of Piagetian Formal Operations and Other Cognitive Factors to Computer Programming Ability (Development). Dissertations Abstracts A47(7), 1987, p. 2506.
   Google Scholar
• Carthey, J.H. “Relationship Between Learning Styles and Academic Achievement and Brain Hemispheric Dominance and Academic Performance in Business and Accounting Courses,” ERIC, ED374412, 1993.
   Google Scholar
• Clement, C.A., D.M. Kurland, R. Mawby, and R.D. Pea. “Analogical Reasoning and Computer Programming,” Journal of Educational Computing Research, 2:4, 1986, pp. 473–486.
   Google Scholar
• Dalbey, J. and M.C. Linn. “The Demands and Requirements of Computer Programming: A Literature Review,” Journal of Educational Computing Research, 1:3, 1985, pp. 253–274.
   Google Scholar
• Diehl, H.L. “Learning Style and Brain Hemisphere Dominance: Interrelationships and Influences on Organizational Role Selection,” Dissertation Abstracts, 50:5, November 1986, p. 1363.
   Google Scholar
• Dumas, R. and A. Morgan. “EEG Asymmetry as a Function of Occupation, Task and Task Difficulty,” Neuropsychologia, 13, 1975, pp. 219–228.
   PubMed Web of Science ®Google Scholar
• Enyeart, M.A. “Relationships Among Propositional Logic, Analytical Reasoning, and Piagetian Level,” Dissertation Abstracts International, A4(09), 1981, p. 397.
   Google Scholar
• Evans, G.E. and M.G. Simkin. “What Best Predicts Computer Proficiency?” Communications of the ACM, 32:11, November 1989, pp. 1322–1327.
   Web of Science ®Google Scholar
• Fletcher, S.H. “Cognitive Abilities and Computer Programming,” EDRS(ED249700), 1984.
   Google Scholar
• Folk, M.J. “Influences of Developmental Level on a Child's Ability to Learn Concepts of Computer Programming,” Dissertation Abstracts International, 34:3, 1973, p. 1125a.
   Google Scholar
• Galton, A. “Logic as a Formal Method,” Computer Journal, 35:5, 1992, pp. 431–440.
   Web of Science ®Google Scholar
• Gibbons, P. “A Cognitive Processing Account of Individual Differences in Novice Logo Programmers' Conceptualization and Use of Recursion,” Journal of Educational Computing Research, 13:3, 1995, pp. 211–226.
   Web of Science ®Google Scholar
• Gibbs, H. and A.B. Tucker. “A Model Curriculum for a Liberal Arts Degree in Computer Science,” Communications of the ACM, 29:3, 1986, pp. 202–210.
   Web of Science ®Google Scholar
• Hartman, S. and J. Yyton. “Estimates of Validity and Reliability for the Hemispheric Mode Indicator,” Perceptual and Motor Skills, 85:3, part 2, 1997, pp. 1355–1364.
   PubMed Web of Science ®Google Scholar
• Herrmann, N. “The Creative Brain,” Training & Development Journal, 35:10, October 1981, pp. 10–16.
   Google Scholar
• Herrmann, N. “The Creative Brain,” NASSP Bulletin, 66:455, 1982, pp. 31–46.
   Google Scholar
• Hudak, M.A. and D.E. Anderson. “Formal Operations and Learning Style Predict Success in Statistics and Computer Science Courses,” Teaching of Psychology, 17:4, 1990, pp. 231–234.
   Web of Science ®Google Scholar
• Ignatuk, N. “An Analysis of the Effects of Computer Programming on Analytical and Mathematical Skills of High School Students,” Dissertation Abstracts A47(3), 1986, p. 854.
   Google Scholar
• Inhelder, B. and J. Piaget. The Growth of Logical Thinking from Childhood to Adolescence. New York: Basic Books, 1958.
   Google Scholar
• Irons, D.M. “Predicting Programming Performance in Novice Programmers by Measures of Cognitive Abilities,” Dissertation Abstracts B43(4), 1982, p. 1283.
   Google Scholar
• Kim, Y. The Reasoning Ability and Achievement of College Level Students Enrolled in a Logic Class in Computer Science. Austin: University of Texas, 1995.
   Google Scholar
• Kraft, R.H. “An EEG Study: Hemispheric Brain Functioning of Six to Eight Year Old Children During Piagetian and Curriculum Tasks with Variation in Presentation Mode,” ERIC, ER137070, 1976.
   Google Scholar
• Lawson A.E. and W.T. Wollman. “Hemispheric Dominance, Conservation Reasoning and the Dominant Eye,” EDRS, ED130778, 1975a.
   Google Scholar
• Lieberman, M.G. The Hemispheric Mode Indicator Technical Notes. Barrington, IL: EXCEL, Inc., 1986.
   Google Scholar
• Little, L.F. “The Influence of Structured Programming, Gender, Cognitive Development and Engagement on the Computer Programming Achievement and Logical Thinking Skills of Secondary Students,” Dissertation Abstracts, A45(6), 1984, p. 1708.
   Google Scholar
• Losh, C.L. “The Relationship of Student Hemisphericity to Performance in Computer Programming Courses,” Dissertation Abstracts A44(7), 1984, p. 2127.
   Google Scholar
• Mains, M.G. “The Effects of Learning a Programming Language on Logical Thinking Skills,” Unpublished Thesis, University of Nevada, Las Vegas, 1997.
   Google Scholar
• McCluskey, J.J. “An Exploratory Study of the Possible Impact of Cerebral Hemisphericity on the Performance of Select Linear, Non-linear, and Spatial Computer Tasks,” Journal of Educational Computing Research, 16:3, 1997, pp. 269–279.
   Web of Science ®Google Scholar
• Monfort, M., S.A. Martin, and W. Frederickson. “Information-processing Differences and Laterality of Students from Different Colleges and Disciplines,” Perceptual & Motor Skills, 70:1, 1990, pp. 163–172.
   PubMed Web of Science ®Google Scholar
• Myers, J.P. “The Central Role of Mathematical Logic in Computer Science,” SIGCSE Bulletin, 22:1, 1990, pp. 22–26.
   Google Scholar
• Myers, J.P. and M. Brita. “Cognitive Style and Achievement in Imperative and Functional Programming Language Courses,” ERIC ED398892, 1996.
   Google Scholar
• Ott, C.F.P. “Predicting Achievement in Computer Science Through Selected Academic, Cognitive and Demographic Variables,” Dissertation Abstracts A49(10), 1989, p. 2988.
   Google Scholar
• Pibum, M.D. “Reasoning About Logical Propositions and Success in Science,” Journal of Research in Science Teaching, 27:9, 1990, pp. 887–900.
   Web of Science ®Google Scholar
• Pibum, M.D. “Reliability and Validity of the Prepositional Logic Test,” Educational and Psychological Measurement, 49, 1989, pp. 667–672.
   Web of Science ®Google Scholar
• Ricardo, C.M. “Identifying Student Entering Characteristics Desirable for a First Course in Computer Programming,” Dissertation Abstracts, A44(1), 1983, p. 96.
   Google Scholar
• Rosson, M.B., J.M. Carrol, and R.K.E. Bellamy. “A Case Study in Minimalist Instruction,” Human Factors in Computing Systems, CHI'90 Conference, 1990, pp. 423–429.
   Google Scholar
• Rotenberg, V.S. and V.V. Arshavsky. “Right and Left Brain Hemispheres Activation in the Representatives of Two Different Cultures,” Homeostasis in Health & Disease, 38:2, 1997, pp. 49–57.
   Google Scholar
• Saleh, A. and A. Iran-Nejad. “Wholetheme Constructivism and Whole Brain Education: Educational Implications of the Research on Left and Right Brain Hemispheres,” ERIC, ED393896, 1995.
   Google Scholar
• Scholtz, J., S. Chidamber, R. Glass, A. Goemer, M.B. Rosson, M. Stark, and I. Vessey. “Object-oriented Programming: The Promise and the Reality,” Journal of Systems Software, 23, 1993, pp. 199–204.
   Web of Science ®Google Scholar
• Sein, M.K. and R.P. Bostrom. “Individual Differences and Conceptual Models in Training Novice Users,” Human-Computer Interaction, 4, 1989, pp. 197–229.
   Google Scholar
• Sheetz, S., G. Irwin, D. Tegarden, H.J. Nelson, and D.E. Monarchhi. “Exploring the Difficulties of Learning Object-oriented Technique,” Journal of Management Information Systems, 14:2, 1997, pp. 103–131.
   Google Scholar
• Sperschneider, V. and G. Antoniou. Logic: A Foundation for Computer Science. Reading, MA: Addison-Wesley, 1991.
   Google Scholar
• SPSS Base 10.0 Application Guide. Chicago: SPSS, Inc., 1999, p. 28.
   Google Scholar
• Stager-Snow, D.B. “Analytical Ability, Logical Reasoning and Attitude as Predictors of Success in an Introductory Course in Computer Science for Non-Computer Science Majors,” Dissertation Abstracts, A45(8), 1985, p. 2473.
   Google Scholar
• Supprian, T. and E. Hofmann. “The Fornix of the Human Brain: Evidence of Left/Right Asymmetry on Axial MRI Scans,” Surgical and Radiological Anatomy, 19:2, 1997, p. 105.
   PubMed Web of Science ®Google Scholar
• Wu, C.C. “Conceptual Models and Individual Cognitive Learning Styles in Teaching Recursion to Novices,” Unpublished Dissertation, University of Texas, Austin, 1993.
   Google Scholar