COMPUTER AIDED EVALUATION OF HIGHER EDUCATION TUTORS' PERFORMANCE

Studies in Educational Evaluation

Volumn 33, Issue 2, 2007, Pages 175-196

  Xenos, Michalis ^a   Papadopoulos, Thanos ^b  

^a HELLENIC OPEN UNIVERSITY   (Greece)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34247347846     PISSN: 0191491X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.stueduc.2007.04.005     Document Type: Article

References (27)

1. Acid S., De Campos L.M., Fernández-Luna J.M., Rodríguez S., Rodríguez J.M., and Salcedo J.L. A comparison of learning algorithms for Bayesian Networks: A case study based on data from an emergency medical service. Artificial Intelligence in Medicine 30 3 (2004) 215-232
2. Beijaard D., and Verloop N. Assessing teachers' practical knowledge. Studies in Educational Evaluation 22 3 (1996) 275-286
3. Coffey M., and Gibbs G. Measuring teachers' repertoire of teaching methods. Assessment and Evaluation in Higher Education 27 4 (2002) 383-390
4. Chen Y., and Hoshower L. Student evaluation of teaching effectiveness: An assessment of student perception and motivation. Assessment and Evaluation in Higher Education 28 1 (2003) 71-88
5. Cowell, R.G., Dawid, A.P., Lauritzen, S.L., & Spiegelhalter, D.J. (1999). Probabilistic networks and expert systems. Statistics for engineering and information sciences. New York: Springer-Verlag.
6. Ellsworth J' A., and Monahan A. Teaching and learning: Evaluating the novice teacher. Studies in Educational Evaluation 24 1 (1998) 71-86
7. Fenton, N., Krause, P., & Neil, M. (2002). Software measurement: Uncertainty and causal modeling. IEEE Software July - August.
8. Fuhrmann-Greimel B., and Geyer A. Students' evaluation of teachers and instructional quality - Analysis of relevant factors based on empirical evaluation research. Assessment and Evaluation in Higher Education 28 3 (2003) 229-238
9. Getoor L., Rhee J.T., Koller D., and Small P. Understanding tuberculosis epidemiology using structured statistical models. Artificial Intelligence in Medicine 30 3 (2004) 233-256
10. Gibbs G., and Coffey M. Training university teachers: What are trainers trying to achieve and how could their success be measured?. Teacher Development 4 1 (2000) 31-44
11. Jensen F.V. (1996). An introduction to Bayesian Networks. New York: Springer-Verlag.
12. Jensen, F.V. (2001). Bayesian Networks and decision graphs. New York: Springer-Verlag.
13. Kschischang, F., Frey, B., & Loeliger, H. (2001). Factor graphs and the sum product algorithm. IEEE transactions on Information Theory, February.
14. Kwan K.P. How fair are student ratings in assessing the teaching performance of university teachers?. Assessment and Evaluation in Higher Education 24 2 (1999) 181-195
15. Lauritzen S., and Spiegelhalter D. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society 50 (1988) 157-224
16. Lucas P.J.F., Van der Gaag L.C., and Abu-Hanna A. Bayesian Networks in biomedicine and health-care. Artificial Intelligence in Medicine 30 3 (2004) 201-214
17. Neil M., Fenton N.E., Forey S., and Harris R. Using Bayesian belief networks to predict the reliability of military vehicles. IEEE Computing and Control Engineering 12 1 (2001) 11-20
18. Neil M., Fenton N., and Tailor M. Using Bayesian Networks to model expected and unexpected operational losses. Risk Analysis 25 4 (2005) 963-972
19. Pearl, J. (1988). Probabilistic reasoning in intelligent systems: Networks of plausible inference. San Mateo, CA: Morgan Kaufmann.
20. Pierrakeas C., Xenos M., and Pintelas P. Evaluating and improving educational material and tutoring aspects of Distance Learning Systems. Studies in Educational Evaluation 29 4 (2003) 335-349
21. Race, P., (1995). The open learning handbook. Promoting quality in designing and delivering flexible learning (2nd ed.), London: Kogan Page.
22. Scriven M. A unified theory approach to teacher evaluation. Studies in Educational Evaluation 21 2 (1995) 111-129
23. Teerajarmorn J., Jamornmann U., and Rowlinson P. The development of a methodology for scoring university instructors' performance: A case study involving two Thai universities. Quality in Higher Education 9 1 (2003) 55-68
24. Varis O. A belief network approach to optimization and parameter estimation: Application to resource and environmental management. Artificial Intelligence 101 1-2 (1998) 135-163
25. Villa A., and Calvete E. Development of the teacher self-concept evaluation scale and its relation to burnout. Studies in Educational Evaluation 27 3 (2001) 239-255
26. Xenos M., Pierrakeas C., and Pintelas P. A survey on student dropout rates and dropout causes concerning the students in the course of informatics of the Hellenic Open University. Computers and Education 39 4 (2002) 361-377
27. Xenos M. Prediction and assessment of student behaviour in open and distance education in computers using Bayesian Networks. Computers and Education 43 4 (2003) 345-359