A Soft Computing Approach to Quality Evaluation of General Chemistry Learning in Higher Education

In contemporary societies higher education must shape individuals able to solve problems in a workable and simpler manner and, therefore, a multidisciplinary view of the problems, with insights in disciplines like psychology, mathematics or computer science becomes mandatory. Undeniably, the great challenge for teachers is to provide a comprehensive training in General Chemistry with high standards of quality, and aiming not only at the promotion of the student’s academic success, but also at the understanding of the competences/skills required to their future doings. Thus, this work will be focused on the development of an intelligent system to assess the Quality-of-General-Chemistry-Learning, based on factors related with subject, teachers and students.

RELATIONSHIPS IN INCLUSIVE CLASSROOMS

Climate in the classroom is one of the determining factors in the development of practices in Inclusive Education. Many factors contribute to the climate in the classroom. However, there are predominance on affective-relational factors, with impact on action, norms and values, social interactions and learning processes. In this paper, the authors reflect on four studies which aim to identify and evaluate the relationship between several agents in the teaching–learning process (regular teachers, special education teachers and peer students) and the students with Autism, Cerebral Palsy, Mental Disability and Attention Deficit Hyperactivity Disorder. The studies were held in Primary Portuguese schools. The results are presented and discussed in their similarities and differences. The discussion shows that relationships between teachers and children with Special Education Needs (SEN) differ from those between teachers and typical children, but also according to different SEN. In general, there are not significant differences between regular teachers and special education teachers