The development of higher-order cognitive skills such as decision making is a critical component of science education. Two studies assess decisionmaking skills using common cognitive errors and evaluate the impact of computer-based laboratories on the development of these skills. The first establishes the prevalence of cognitive errors among high school students, undergraduates, and Earth Science professionals. The second examines the role of computer-aided instruction in the Earth Science domain on subsequent decision making. High school students took part in either a computer or equivalent paper-and-pencil role-playing exercise requiring students to evaluate the possible eruption of a volcano. Students who used the computer exercise made more consistent decisions than those who used the traditional paper-and-pencil exercise, suggesting that well designed computer-based laboratories can positively impact higher-order cognitive skills.
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References
1.
TIMSS, Third International Mathematics and Science Study, International Study Center, Boston College, 1996.
2.
JacobsonW. and DoranR., Science Education in the United States and Sixteen Countries: A Report to the Public, Teachers College, Columbia University, 1988.
3.
McKnightC., The Underachieving Curriculum, Stipes Publishing Co., Champaign, Illinois, 1987.
4.
N.Y. Times, Americans Flunk Science, A Study Finds, in New York Times, A12, New York, 1996.
5.
MillerJ., Communicating Science to the Public, paper presented at Ciba Foundation Conference, EverdD. and O'ConnorM. (eds.), Wiley, 1987.
6.
McKeachieW. J.ChismN.MengesR.SvinickiM., and WeinsteinC. E., Teaching Tips, D. C. Heath, Lexington, Massachusetts, 1994.
7.
SchroederC. C., New Students—New Learning, Change, 25, pp. 21–26, 1993.
8.
BasuA. and MiddendorfJ., Discovering New Knowledge through Collaborative Learning in Groups, Journal of Geological Education, 43, pp. 317–321, 1995.
9.
SavionL. and MiddendorfJ., Enhancing Concept Comprehension and Retention, National Teaching and Learning Forum, 3, pp. 6–8, 1994.
10.
ReigeluthC. M. and SchwartzE., An Instructional Theory in the Design of Computer-Based Simulations, Journal of Computer-Based Instruction, 16, pp. 1–10, 1989.
11.
BreuerK. and KummerR., Cognitive Effects from Process Learning with Computer-Based Simulations, Computers in Human Behavior, 6, pp. 69–81, 1990.
12.
MacLachlanJ., Psychologically Based Techniques for Improving Learning within Computerized Tutorials, Journal of Computer-Based Instruction, 13, pp. 65–70, 1986.
13.
SizemoreM. H. and PontiousS., CAI Promotes Nursing Student Mastery of Health History Taking, Journal of Computer-Based Instruction, 14, pp. 62–67, 1987.
14.
TjadenB. J. and MartinC. D., Learning Effects of CAI on College Students, Computers in Education, 24, pp. 271–277, 1995.
15.
BitzerM. D. and BitzerD. L., Teaching Nursing by Computer—An Evaluative Study, Computers in Biology and Medicine, 3, pp. 187–204, 1973.
16.
BoettcherE.AldersonS., and SaccucciM., A Comparison of the Effects of Computer-Assisted Instruction versus Printed Instruction on Student Learning in the Cognitive Categories of Knowledge and Application, Journal of Computer-Based Instruction, 8, pp. 13–17, 1981.
17.
KulikJ. A.BangertR. L., and WilliamsG. W., Effects of Computer-Based Teaching on Secondary School Students, Journal of Educational Psychology, 75, pp. 19–26, 1983.
18.
DuplassJ. A., Teaching Software: Is the Supervised Laboratory Effective, Computers in Education, 24, pp. 287–291, 1995.
19.
KulikJ. A. and KulikC. C., Effectiveness of Computer-Based Instruction, School Library Media Quarterly, 17, pp. 19–21, 1989.
20.
HannafinM. J.PhillipsT. J., and TrippS. D., The Effects of Orienting, Processing, and Practicing Activities on Learning from Interactive Video, Journal of Computer-Based Instruction, 13, pp. 134–139, 1986.
21.
SalisburyD. F., Cognitive Psychology and Its Implications for Designing Drill and Practice Programs for Computers, Journal of Computer-Based Instruction, 17, pp. 23–30, 1990.
22.
DaltonD. W., The Efficacy of Computer-Assisted Video Instruction on Rule Learning and Attitudes, Journal of Computer-Based Instruction, 13, pp. 122–125, 1986.
23.
TrowbridgeD., An Investigation of Groups Working at the Computer, in Applications of Cognitive Psychology: Problem Solving, Education and Computing, BergerK.PezdekD. E., and BanksW. (eds.), Erlbaum, Hillsdale, New Jersey, 1987.
24.
AstinA. W., What Matters in College: Four Critical Years Revisited, Jossey-Bass, San Francisco, 1993.
25.
PopperK. R., Conjectures and Refutations: The Growth of Specific Knowledge, Basic Books, New York, 1962.
26.
ValverdeH. H., A Review of Flight Simulator Transfer of Training Studies, Human Factors, 15, pp. 510–523, 1973.
27.
HaysR. T. and SingerM. J., Simulation and Fidelity in Training System Design: Bridging the Gap between Reality and Training, Springer-Verlag, New York, 1989.
28.
HennessyS., Design of a Computer-Augmented Curriculum for Mechanics, International Journal of Science Education, 17, pp. 75–92, 1995.
29.
ShlechterT. M.BessemerD. W., and KoloshK. P., Computer-Based Simulation Systems and Role-Playing: An Effective Combination for Fostering Conditional Knowledge, Journal of Computer-Based Instruction, 19, pp. 110–114, 1992.
30.
WheelerR. R., The Oil Game-Economic Geology Teaching Device, Journal of Geological Education, 23, pp. 164–166, 1975.
31.
McNeillB. J.PaukerS. G.SoxH. C., and TverskyA., On the Elicitation of Preferences for Alternative Therapies, New England Journal of Medicine, 306, pp. 1259–1262, 1982.
32.
SchneiderS. L., Framing and Conflict: Aspiration Level Contingency, the Status Quo, and Current Theories of Risky Choice, Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, pp. 1040–1057, 1992.
33.
KahnemanD. and TverskyA., Choices, Values, and Frames, American Psychologist, 39, pp. 341–350, 1984.
34.
MeyerowitzB. E. and ChaikenS., The Effect of Message Framing on Breast Self-Examination Attitudes, Intentions, and Behavior, Journal of Personality and Social Psychology, 52, pp. 500–510, 1987.
35.
TverskyA. and KahnemanD., The Framing of Decisions and the Psychology of Choice, in New Directions for Methodology of Social and Behavioral Science: Question Framing and Response Consistency, HogarthR. (ed.), Jossey-Bass, San Francisco, California, 1982.
36.
JouJ.ShanteauJ., and HarrisR. J., An Information Processing View of Framing Effects: The Role of Causal Schemas in Decision Making, Memory & Cognition, 24, pp. 1–15, 1996.
37.
RychlakJ. F.BarnardS.WilliamsR. N., and WollmanN., The Recognition and Cognitive Utilization of Oppositionality, Journal of Psycholinguistic Research, 18, pp. 181–199, 1989.
38.
BursikM. I.HodgeD. S., and SheridanM. F., Interactive Computer Modeling of Social and Scientific Issues Related to Volcanic Hazards, Journal of Geological Education, 42, pp. 467–473, 1994.
39.
CervantesN., Books Suffering in Computer Age, The Buffalo News, A1, A14, Buffalo, May 11, 1997.
40.
WagenaarW. A.KerenG., and LichtensteinS., Islanders and Hostages: Deep and Surface Structures of Decision Problems, Acta Psychologica, 67, pp. 175–189, 1988.
41.
TverskyA. and KahnemanD., Extensional versus Intuitive Reasoning: The Conjunction Fallacy in Probability Judgment, Psychological Review, 90, pp. 293–315, 1983.
42.
MorierD. M. and BorgidaF., The Conjunction Fallacy: A Task Specific Phenomenon?Personality and Social Psychology Bulletin, 10, pp. 243–252, 1984.
43.
LehmanD. R.LempertR. O., and NisbettR. E., The Effects of Graduate Training on Reasoning, American Psychologist, 43, pp. 431–442, 1988.
44.
WolfordG.TaylorH. A., and BeckJ. R., The Conjunction Fallacy?Memory & Cognition, 18, pp. 47–53, 1990.
45.
QuattroneG. A. and TverskyA., Contrasting Rational and Psychological Analyses of Political Choice, American Political Science Review, 82, pp. 719–736, 1988.
46.
GriggsR. A. and CoxJ. R., The Elusive Thematic-Materials Effect in Wason's Selection Task, British Journal of Psychology, 73, pp. 407–420, 1982.
47.
MiletiD. S.FitzpatrickC., and FarharB. C., Fostering Preparations for Natural Hazards, Lessons from the Parkfield Earthquake Prediction, Environment, 34, pp. 16–20, 36–39, 1994.
48.
StoopesG. R. and SheridanM. F., Giant Debris Avalanches from the Colima Volcanic Complex, Mexico: Implications for Long-Runout Landslides (> 100km) and Hazard Assessment, Geology, 20, pp. 299–302, 1992.
49.
FairchildV., Radioactive Waste: Finding a Safe Place, Civil Engineering, 61, pp. 48–51, 1991.
50.
TabachnickB. G. and FidellL. S., Using Multivariate Statistics, Harper & Row Publishers, New York, 1989.
51.
GickM. L. and HolyoakK. J., Analogical Problem Solving, Cognitive Psychology, 12, pp. 306–355, 1983.
52.
BassokM. and HolyoakK. J.Pragmatic Knowledge and Conceptual Structure: Determinants of Transfer between Quantitative Domains, in Transfer on Trial: Intelligence, Cognition, and Instruction, DettermanD.K. and SternbergR.J. (eds.), Ablex Publishing Corporation, Norwood, New Jersey, pp. 68–98, 1993.
53.
GreenoJ. G., A Perspective on Thinking, American Psychologist, 44, pp. 1134–141, 1989.
54.
ReedS. K.AckincloseC. C., and VossA. A., Selecting Analogous Problems: Similarity versus Inclusiveness, Memory & Cognition, 18, pp. 83–98, 1990.
55.
SternbergR. J. and FrenschP. A., Mechanisms of Transfer, in Transfer on Trial-Intelligence, Cognition, and Instruction, DettermanD. K. and SternbergR. J. (eds.), Ablex Publishing Corporation, Norwood, New Jersey, pp. 25–38, 1993.
56.
RenshawC. E.TaylorH. A., and ReynoldsC. H., Impact of Computer-Assisted Instruction in Hydrogeology on Critical Thinking Skills, Journal of Geological Education, in press, 1998
