Measuring motivational characteristics of courses: Applying Keller's instructional materials motivation survey to a web-based course

Academic Medicine

Volumn 84, Issue 11, 2009, Pages 1505-1509

  Cook, David A ^a   Beckman, Thomas J ^a   Thomas, Kris G ^a   Thompson, Warren G ^a  

^a MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ATTENTION; CORRELATION ANALYSIS; CRONBACH ALPHA COEFFICIENT; EDUCATION PROGRAM; FEMALE; HUMAN; INSTRUCTIONAL MATERIALS MOTIVATION SURVEY; INTERNET; MALE; MEDICAL EDUCATION; MOTIVATION; MULTIPLE CHOICE TEST; NORMAL HUMAN; PRIORITY JOURNAL; RESIDENT; SATISFACTION; SCORING SYSTEM; STATISTICAL SIGNIFICANCE; VALIDITY;

EID: 70449492816     PISSN: 10402446     EISSN: None     Source Type: Journal    
DOI: 10.1097/ACM.0b013e3181baf56d     Document Type: Article

References (17)

1. Maslow AH. A theory of human motivation. Psychol Rev. 1943;50:370-396.
2. Bandura A. Self-efficacy. In: Ramachaudran VS, ed. Encyclopedia of Human Behavior. Vol 4. New York, NY: Academic Press; 1994: 71-81.
3. Gagné RM. The Conditions of Learning and Theory of Instruction. 4th ed. New York, NY: Holt, Rinehart and Winston; 1985.
4. Biggs JB. Good learning: What is it? How can it be fostered? In: Biggs JB, ed. Teaching for Learning: The View From Cognitive Psychology. Hawthorn, Australia: The Australian Council for Educational Research; 1991.
5. Keller JM. Motivation and instructional design: A theoretical perspective. J Instr Dev. 1979;2(4):26-34.
6. Astleitner H, Keller JM. A model for motivationally adaptive computer-assisted instruction. J Res Comput Educ. 1995;27: 270-280.
7. Keller JM. Development and use of the ARCS model of instructional design. J Instr Dev. 1987;10(3):2-10.
8. Jang KS, Park OJ, Hong MS, et al. A study on development of Web-based learning program with multimedia ECG monitoring and its application. J Korean Soc Med Inform. 2003; 9:101-110.
9. Jang KS, Hwang SY, Park SJ, Kim YM, Kim MJ. Effects of a Web-based teaching method on undergraduate nursing students' learning of electrocardiography. J Nurs Educ. 2005;44: 35-39.
10. Messick S. Validity. In: Linn RL, ed. Educational Measurement. 3rd ed. New York, NY: American Council on Education/ Macmillan; 1989.
11. American Educational Research Association; American Psychological Association; National Council on Measurement in Education. Standards for Educational and Psychological Testing. Washington, DC: American Educational Research Association; 1999.
12. Cook DA, Beckman TJ. Current concepts in validity and reliability for psychometric instruments: Theory and application. Am J Med. 2006;119:166.e7- e16.
13. Huang W, Huang W, Diefes-Dux H, Imbrie PK. A preliminary validation of attention, relevance, confidence and satisfaction model-based instructional material motivational survey in a computer-based tutorial setting. Br J Educ Technol. 2006;37: 243-259.
14. Cook DA, Beckman TJ, Thomas KG, Thompson WG. Adapting Web-based instruction to residents' knowledge improves learning efficiency: A randomized controlled trial. J Gen Intern Med. 2008;23: 985-990.
15. Song SH, Keller JM. Effectiveness of motivationally adaptive computer-assisted instruction on the dynamic aspects of motivation. Educ Technol Res Dev. 2001; 49(2):5-22.
16. Gabrielle DM. The Effects of Technology- Mediated Instructional Strategies on Motivation, Performance, and Self-Directed Learning [dissertation]. Tallahassee, Florida: Florida State University; 2003. Available at: (http://etd.lib.fsu.edu/theses/available/etd- 11142003-171019). Accessed July 20, 2009.
17. Campbell DT, Fiske DW. Convergent and discriminant validation by the multitrait- multimethod matrix. Psychol Bull. 1959;56: 81-105.