No abstract

There has been a sudden increase in the usage of Learning Management Systems applications to support learner's learning process in higher education. Many studies in learning management system evaluation are implemented under complete information, while the real environment has uncertainty aspects. As these systems were described by development organizations with uncertainty terms such as vague, imprecise, ambiguity and inconsistent, that is why traditional evaluation methods may not be effective. This paper suggests neutrosophic logic as a better option to simulate human thinking than fuzzy logic because unlike fuzzy logic, it is able to handle indeterminacy of information which expresses the percentage of unknown parameters. As previous studies suggested neutrosophic decision maker and neutrosophic expert systems as future work in ecommerce and e‐learning applications, this paper presents neutrosphic expert system for learning management systems evaluation. Information for building and validating the neutrosophic expert system is collected from five experts using surveys, and then analysis is done by using Fuzzytech 5.54d software. Finally, the comparison between fuzzy expert system and neutrosophic expert system results show that the neutrosophic logic is capable of representing uncertainty in human thinking for evaluating Learning Management Systems.

With the emergence of the Internet, e-learning has increasingly become the promising solution that continues to grow day after day. Considering students' perception toward e-learning is important in successful development of e-learning in higher education, since attitude of user towards application of information technology is one of the most effective factors. This paper examines perception of virtual students' attitudes towards e-learning in Egypt. Descriptive and inferential statistics were used to analyze the data using SPSS Win13. Questionnaires received were analyzed, putting the students' perceptions in relation to gender, age, knowledge of computers and attitudes to advantages and disadvantages of e-learning. Results showed that students have positive perception to elearning. Liner regression analysis indicated that 68% of variation in virtual students' perceptions of e-learning was determined by the four variables of: Students' assessment about competency of e-learning, access to internet, computer and internet usage and assessment of current higher education system's shortcomings.

No abstract

No abstract