The performance of distant students in a simulation exercise for a Small Business Management (SBM) course was compared with that of internal students and the demographic and psychological variables associated with the performance of each student group were examined. Distant students matched or exceeded the performance of internal students in spite of the setbacks associated with distance learning. Work experience and rational information processing were associated with the performance of distant students but not with that of internal students. Distant students proved more able to achieve the multiple learning objectives of the course. Effective online interaction among students can help reduce the setbacks associated with independent learning for distant students and the work experience gap for internal students.
AdamsA. J.HancockT. (2000), ‘Work experience as a predictor of MBA performance’, College Student JournalVol 34, No 2, p 211.
2.
AndersonP.H.BeveridgeD.A.ScottT.W.HofmeisterD.W. (2003), Threshold Competitor: A Management Simulation, Version 3, Prentice-Hall, Saddle River, NJ.
3.
AndersonP.H.LawtonL. (1997), ‘Demonstrating the learning effectiveness of simulations: Where we are and where we need to go’, Developments in Business Simulations and Experiential Exercises, Vol 24, pp 68–73.
4.
BloomB.S.EnglehartM.D.FurstE.J.DrathwohlD.K. (1959), Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook I: Cognitive Domain, David McKay, New York.
5.
BordeS.F. (1998), ‘Predictors of student academic performance in the introductory marketing course’, Journal of Education for Business, Vol 73, No 5, pp 302–307.
6.
CarnevaleD. (2002), ‘Online students don't fare as well as classroom counterparts’, The Chronicle of Higher Education, Information Technology Section, Vol 48, No 27, p 38.
7.
ChanK.C.ShumC. (1997), ‘Class attendance and student performance in principles of finance’, Financial Practice and Education, Vol 7, No 2, pp 58–65.
8.
CheungL.KanA.C. (2002), ‘Evaluation of factors related to student performance in a distance-learning communication course’, Journal of Education for Business, Vol 77, No 5, pp 257–264.
9.
Denes-RajV.EpsteinS. (1994), ‘Conflict between experiential and rational processing: When people behave against their better judgment’, Journal of Personality and Social Psychology, Vol 66, pp 819–829.
10.
DevadossS.FoltzJ. (1996), ‘Evaluation of factors influencing student class attendance and performance’, American Journal of Agricultural Economics, Vol 78, No 3, pp 499–507.
11.
DidiaD.HasnatB. (1998), ‘The determinants of performance in the university introductory finance course’, Financial Practice and Education, Vol 8, No 1, pp 102–107.
12.
DyerW. G.JrHandlerW. (1994), ‘Entrepreneurship and family business: Exploring the connections’, Entrepreneurship Theory and Practice, Vol 19, pp 71–83.
13.
EpsteinS.PaciniR. (2001), ‘The influence of visualization on intuitive and analytical information processing’, Imagination, Cognition and Personality, Vol 20, No 3, pp 195–216.
14.
EpsteinS.PaciniR.Denes-RajV.HeierH. (1996), ‘Individual differences in intuitive-experiential and analytical-rational thinking styles’, Journal of Personality and Social Psychology, Vol 71, No 2, pp 390–405.
15.
EpsteinS. (1994), ‘Integration of the cognitive and the psychodynamic unconscious’, American Psychologist, Vol 49, pp 709–724.
16.
GubernickL.EbelingA. (1997), ‘I got my degree by email’, Forbes, Vol 159, No 12, pp 84–92.
17.
HechtL.W.ManningW.H.SwintonS.S.BraunH.I. (1989), Assessing Older Applicants for Admission to Graduate Study in Management: The Role of GMAT Scores and Undergraduate Grades, Occasional Paper, Graduate Management Admission Council, Los Angeles, CA.
18.
KlaczynskiP. A.RobinsonB. (2000), ‘Personal theories, intellectual ability and epistemological beliefs: Adult age differences in everyday reasoning biases’, Psychology and Aging, Vol 15, No 3, pp 400–416.
19.
KlaczynskiP.A.FauthJ.M.SwangerA, (1998), ‘Adolescent identity: Rational vs experiential processing, formal operations, and critical thinking beliefs’, Journal of Youth and Adolescence, Vol 27, No 2, pp 185–207.
20.
LauniusM. H. (1997), ‘College student attendance: Attitudes and academic performance’, College Student Journal, Vol 31, No 1, pp 86–92.
21.
LoganE.L.AugustyniakR.ReesA. (2002), ‘Distance education as different education: A student-centered investigation of distance learning experience’, Journal of Education for Library and Information Science, Vol 43, No 1, p 32.
22.
PaciniR.EpsteinS. (1999), ‘The relation of rational and experiential information processing styles to personality, basic beliefs and the ratio-bias phenomenon’, Journal of Personality and Social Psychology, Vol 76, No 6, pp 972–987.
23.
PalmerJ.C.WrightR.E. (1996), ‘Predicting academic performance in graduate business programs: When does age make a difference?’, Delta Pi Epsilon Journal, Vol 38, p 72.
24.
PeiperlM. A.TrevelyanR. (1997), ‘Predictors of performance at business school and beyond: Demographic factors and the contrast between individual and group outcomes’, Journal of Management Development, Vol 16, No 5, p 354.
25.
PoolP. (1996), ‘Teaching via interactive television: An examination of teaching and student satisfaction’, Journal of Education for Business, Vol 71, No 2, pp 78–80.
26.
SoonerB.S. (1999), ‘Success in the capstone business course: Assessing the effectiveness of distance learning’, Journal of Education for Business, Vol 74, No 1, pp 243–248.
27.
ThompsonA.A.StricklandA.J. (2003), Strategic Management: Concepts and Cases, 13th edition, McGraw-Hill, Irwin, CA.
