How we build a weighted network of a classroom.
Students are represented as nodes in a network. In this example assume 9 students and 3-member groups. To compute the dissimilarity between two students, we use the information from the questionnaire answered by each student. We use two different questionnaires: CHAEA and LML, introducing an extra question for gender. We choose those questionnaires because they have been used in other studies to determine different attributes of students, for instance Cela-Ranilla et al. [The Honey-Alonso (CHAEA) questionnaire [The Let Me Learn (LML) [To compute the dissimilarity between two students we compute the difference between two vectors, and we compute a normalized weighted squared sum to obtain a unique value from the vector difference. Then to compute the dissimilarity between students i and j we use the following equation:
In the latter example, we obtain a vector difference of This example is illustrated in 