An evaluating strategy for student assessment in e-learning

How to accurately assess student´s performance and learning activities online, to minimize a student´s temptation to cheat, and to discourage cheating and plagiarism? A valid, wieldy and reliable evaluating strategy is very important. We describe an evaluating strategy for student´s assessment based on his portfolios, learning objects´ hierarchy and his learning procedure in e-learning. In addition, we analyse the scoring patterns varying as a function of the pragmatic import of student´s score and alternative assessment techniques. Subsequently, we define two functions as marks of student assessment by applying the usage model of Markov, learning objects´ technology and alternative assessment techniques, which is on the basis of learning objects´ hierarchy and learning process. We also discuss the procedure of establishing evaluating model. At last, we probe into the new strategy´s application and evaluate its performance by comparing with the experimental results. We also analyse the problem of the evaluating strategy for student assessment.