No abstract

The increasing popularity of e-learning has created a need for accurate student achievement prediction mechanisms, allowing instructors to improve the efficiency of their courses by addressing specific needs of their students at an early stage. In this paper, a student achievement prediction method applied to a 10-week introductory level e-learning course is presented. The proposed method uses multiple feed-forward neural networks to dynamically predict students' final achievement and to cluster them in two virtual groups, according to their performance. Multiple-choice test grades were used as the input data set of the networks.This form of test was preferred for its objectivity. Results showed that accurate prediction is possible at an early stage, more specifically at the third week of the 10-week course. In addition, when students were clustered, low misplacement rates demonstrated the adequacy of the approach. The results of the proposed method were compared against those of linear regression and the neural-network approach was found to be more effective in all prediction stages. The proposed methodology is expected to support instructors in providing better educational services as well as customized assistance according to students' predicted level of performance.

No abstract

According to the National Statistical Service of Greece, single-parent families, which emerged after divorce, in 2011 occupied an important place among other family types, endangering a large number of children to display behavioral problems and poor school performance. The purpose of the present study was to investigate the effects of divorce on preschool children. Specifically, we studied the behavior problems and academic performance of children from single-parent families compared with children from nuclear families according to teachers' views. The research sample consisted of 314 students from various urban and suburban parts of Greece, for which their 118 preschool teachers completed the "Pupil Behavior Rating Scale" (PBRS) and a questionnaire with demographic characteristics and data of themselves, their students and their students' parents. The results of the research showed statistically significant correlations between 1) the type of family and occurrence of behavioral problems and 2) the type of family and school performance of the two student groups (single parenthood-nuclear). According to the findings of the present study, it appears that the family pattern affects the emotional development and school progress of children. For this reason, bearing always in mind that each family is unique, they are of particular importance: the assurance of a structured family environment (quality relationships of the members), the regular communication with parents built upon relationships of respect and trust, and finally, the social support and assistance of competent institutions to single-parent families.

No abstract