Assessing Online Student Performance via participation, and Examinations as Alternative Measures
DOI:
https://doi.org/10.14738/assrj.83.9838Keywords:
Student performance, class participation, online homework, examination, alternative measureAbstract
Online homework is a relatively new instruction and evaluation technique. While it appears to be an effective tool, empirical studies of its efficacy suggests they have not been done. This paper analyzes correlations among systematic class participation scores, online homework scores and test results from two sections of Effective People Management and two sections of Advanced Human Resource Management taught at a Middle Eastern University – University of Kurdistan Hewler in fall semester 2017.Collection of data were made in four classes of two modules with the outcomes and implications suggesting students were expected to attempt to work on each homework problem three times and were allowed as many attempts as they wished within time limits set by the instructor. Homework problems were made available for extra credit immediately after a new chapter was introduced
References
Airasian, P.W. & Miranda, H. (2002). The role of assessment in the revised taxonomy. Theory Into Practice, 41, 249-
Anderson, L.W. (1999). Rethinking Bloom's taxonomy: Implications for testing and assessment. (ERIC Document Reproduction Service No. ED435630).
Andrade, H.G. (2005). Teaching with rubrics: The good, the bad, and the ugly. College Teaching, 53, 27-30.
Banci, M and Soren, H (2008) Students’ opinion on blended learning Turkish Online Journal of Distance Education 10(10, 21-35. . Betul Yimaz, M, Orhan, F (2011). “Evaluation of University students’ academic achievements, web materials using behaviours, and attendances in respect to their learning approaches in a blended learning environment”, vol. 8, no. 2, pp. 1027-1048, International Journal of Human Sciences
Bmaldi, A. (1998). Implementing performance assessment in the classroom. Practical Assessment, Research, and Evaluation, 6. Retrieved March 15, 2020, from http://PAREonline.net/get'n.asp?v=6&n=2.
Bloom, B.S., Engelhart, M.D., Fürst, E.J., Hiss, W.H., & Krathwohl,D.R. (Eds.) (1956).Taxonomy of educational objectives. The classification of education goals. Handbook I: Cognitive Domain. New York: Longmans. 227
Clark, R.T and Meyer, R.E (2003). E-learning and the science of instruction, San Francisco, CA: Feiffer Publishing.
Eber, P. (2007). Assessments, rubrics, and Bloom's taxonomy. Retrieved March 10 15, 2020, from http:/7tisers.ipfw.edu/eberp/blooms.htm.
Crooks, T.J. (1998). Impact of classroom evaluation on student. Review of Education Research, 58, 438-481.
Erikson, E. H. (1968). Identity: Youth and crisis. New York: Norton.
Evans, N. J. (1996). Theories of student development. In S. R. Komi & D. B. Woodard (Eds.), Student services: A handbook for the profession (3rd ed., pp. 164-187). San Francisco: Jossey-Bass.
Kohlberg, L. (1969). Stage and sequence: The cognitive development approach to socialization.
In D. Goslin (Ed.), Handbook of socialization theory and research (pp. 347-480). Chicago: Rand McNally Lal, Z and Jundi, A (2010), “The trend towards e-learning among male and female teachers of secondary schools in Jeddah, Saudi Arabia,” Journal of Umm Al-Qura University for Educational and Psychological Sciences, vol. II, no. 2
Marra, R. & Palmer, B. (2004). Encouraging intellectual growth: Senior college student profiles. Joumal of Adult Development, 11, 111-122.
Ma Xiufang and Ke Quingchao (2008). “Assessment of Learning: A Framework for design and Implementation”, CSSE. Vol. 5., pp.598-601, International Conference on Cmputer Scienceand Software Engineering.
Nuno, J.A (2005), “Is computer-assisted instruction an effective tool in the reading-writing Classroom?,” Dissertation Abstract International, vol. 43, no. 5.
Pajtek, A. C, (2002) “Computer-based versus paper-based instruction: effectiveness and motivation,” Dissertation Abstract International, vol. 41, no. 2.
Perry, W.G. (1970). Forms of intellectual and ethical development in the college years: a scheme. New York: Holt, Rinehart and Winston.
Unsal, H (2007). Multi-Level Evaluation of the Effectiveness of Blended Learning Unpublished Doctorate Dissertation, Ankara Gazi University, Graduate School of Eigitim
Vatterott, C. (2010). Five hallmarks of good homework. Educational Leadership, 68(1), 10–15.
Whittington, M. S. & Newcomb, L.H. (1993). Aspired cognitive level of instruction, assessed cognitive level of instruction and attitude toward teaching at higher cognitive levels. Summary of Research, 70, 2-13.
Wiggins, G. (1990). The case for authentic assessment. Practical Assessment, Research, and Evaluation, 2. Retrieved February 20, 2020, from http://PAREonline.net/getvn.asp?v=2&n=2.
Brownstone Learning (1999-2003), McGraw-Hill’s Homework Manager Instructor’s Guide Brownstone Learning.
Ivancevich, J.M and Konopaske, R (2013) Human Resource Management, 12th. Edition McGraw-Hill
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