ACM Home Page
Please provide us with feedback. Feedback
The development of an instrument to assess the impact of media use and active learning on faculty performance
Full text PdfPdf (514 KB)
Source Special Interest Group on Computer Personnel Research Annual Conference archive
Proceedings of the 1998 ACM SIGCPR conference on Computer personnel research table of contents
Boston, Massachusetts, United States
Pages: 152 - 155  
Year of Publication: 1998
ISBN:0-89791-959-9
Authors
Mark A. Serva  Information Systems Department, Baylor University, Waco, TX
Mark A. Fuller  Information Systems Department, Baylor University, Waco, TX
Sponsor
SIGCPR: ACM Special Interest Group on Computer Personnel Research
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 0,   Downloads (12 Months): 2,   Citation Count: 0
Additional Information:

references   index terms   collaborative colleagues   peer to peer  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/279179.279203
What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
Astin, A. W. (1985). Achieving educational excellence. San Francisco: Jossey-Bass.
 
3
Bagozzi, R. & Heatherton, T. (1994). A general approach to representing multifacted personality constructs: application to state self-esteem. Structural Equation Modeling, 1, 1, pp. 35-67.
 
4
Bentler, P. (1990). Comparative/it indices in structural models. Psychological Bulletin, 107, pp. 238-246.
 
5
Bonwell, C. C., & Eison, J. (1991). (Report No. ASHE-ERiC Higher Education Report 1). Washin~on, DC: The George Washin~on University School of Education and I/man Development.
 
6
Brox~me, M. & Cudeck, IL (1989). Single-sample cross-validation indices for covariance structures. Multivariate Behavioral Research, 24, pp. 445-455.
 
7
Centra, 3. A. (1973). Effectiveness of student feedback in modifying college instruction. Journal of Educational Psychology, 1973, 65 (3), 395-401.
 
8
Chiekering, 3_ W., & Gamson, Z~ F. (1987). Seven principles for good practice. ~ Bulleting, 39, 3-7.
 
9
Coffman (1954). Determining students' concepts of effective teaching from their ratings of instructors. Journal of Educational Psychology, 1954, 45, 277-285.
 
10
Cross, P. IC (1987). Teaching for learning. Agile Bulletin 39, 283(466), 3-7.
 
11
Erickson, S. C. (1984). The essence of good teaching: helping studens learn and remember what they learn. San Francisco: Jossey-Bass.
 
12
Fomell, C. (1983). Issues in the application of covariance structure analysis: a comment. Journal of Consumer Research, 9, pp. 443448.
 
13
Grussing, P. G. (1994). Sources of error in student evaluation of teaching. American Journal of Pharmaceutical Education, 58 (Fall), 316-318.
 
14
Grussing, P. G., ~aluck, R. J., & Williams, R. G. (1994). Development and validation of behaviorallyanchored rating scales for student evaluation of pharmacy instruction. American Journal of Pharmaceutical Education, 58(Spring), 25-37.
 
15
Guernsey, L. (1997). Um'versity of Delaware library uses web to retrieve journal articles. The Chronicle of Higher Education.
 
16
Hodgson (1958). The general and primary factors in student evaluation of teaching ability. Seattle: University of Washin~on Press, 1958.
 
17
Ives, B., & Jarvenpaa, S. L. (1996). Will the Internet revolutionize business education and research? Sloan Management Review, 37(3), 33.
 
18
Joreskog, K., & Sorbom, D. (1989). LISREL VII user's guide. Mooresville, IN: Scientific Software, Inc.
 
19
Lawley, D. & Maxwell, A. (1971). Factor Analysis as a Statistical Method. London: Butterworth.
 
20
Leidner, D. E., & Jarvenpaa, $. L. (1993). The Information Age Confronts Education: Case Studies on Electronic Classrooms. Information Systems Research, 4(1), 24-54.
 
21
Marsh, H. W. (1982). A reliable, valid, and useful instrument for collecing students' evaluations of university teaching. British Journal of Education Psychology, 52, 77-79.
 
22
McDonald, R. and Marsh, H. (1990). Choosing a multivariate model: Noncentrality and goodness-of-fit. Psychological Bulletin, 107, pp. 247-255.
 
23
Marsh. H. W. (1988). Goodness-of-fit indexes in confirmatory factor analysis: the effect of sample size. Psychological Bulletin, 103, 3, pp. 391410.
 
24
Meyers, C., & Jones, T. B. (1993). Promoting active learning: strategies for the classroom. San Francisco: Jossey-Bass Publishers.
 
25
Phillips, L., & Bagozzi, R. (1986). On measuring organizational properties of distribution channels: Methodological issues in the use of key informants. Research in Marketing, 8, 313-369.
 
26
Seldin, P. (1984). Changing Practices in Faculty Evaluation. San Francisco: Jossey-Bass.
 
27
Tagomori, H. T., & Bishop, L. A. (1995). Student Evaluation of Teaching: Flaws in the Instruments. The NEA Higher Education Journal, 11(1), 63-78.
 
28
Torkzadeh, G. & Koufteros, X. (1996). Structural equation modeling for confirming the self-efficacy instrument. The 1996 Proceedings: Decision Sciences Institute.
 
29
Van Ort, S. (1983). Developing a system for documenting teaching effectiveness. Journal of Nursing Education, 22(8), 324-328.
 
30
Wotruba, T. R., & Wright, P. L. (1975). How to Develop a Teacher-Rating Instrument. Journal of Higher Education, XLVI(6), 653-663.

Collaborative Colleagues:
Mark A. Serva: colleagues
Mark A. Fuller: colleagues

Peer to Peer - Readers of this Article have also read: