Abstract: This research assesses the influence of the teaching methodology on the emotions that a group of 126 students of the Primary Education Bachelor students experience in the learning of scientific contents. The study was carried out during the course 2015/16 with the students enrolled in the Didactics of Matter and Energy subject, taught in the second year of the Degree of Primary Education of the University of Extremadura. The aim of this research is to evaluate the emotions that the students have while learning sciences, precisely physics and chemistry, considering two different instruction methodologies. The study compared the emotions assessed while using a traditional methodology, based on the classroom, and those obtained by applying an inverted methodology or flipped-classroom. This latter methodology is characterized by the inversion of a traditional classroom setting. Preliminary results of the study indicate that the use of a flipped methodology encourages positive emotions and reduces negative emotions. This effect is more pronounced in students who did not take science classes in pre-university courses.

Resumen: Este trabajo evalúa como influye la metodología de enseñanza seguida sobre las emociones que experimentan un grupo de 126 estudiantes del Grado de Educación Primaria en el aprendizaje de contenidos científicos. El estudio se ha llevado a cabo durante el curso 2015/16 en la asignatura Didáctica de la Materia y la Energía impartida en el segundo curso del Grado de Educación Primaria de la Universidad de Extremadura. Se evalúa la influencia de la metodología seguida, en las emociones que tienen los estudiantes sobre el aprendizaje de contenidos de física y química, dependiendo de la modalidad de bachillerato cursada. Para este estudio se han comparado los resultados de una metodología de enseñanza tradicional, basada en la clase presencial, y los obtenidos al aplicar una metodología de enseñanza invertida o flipped-classroom. Esta última constituye un modo de aprendizaje en el cual se invierte el formato tradicional de una clase. Los resultados preliminares del estudio indican que el empleo de una metodología flipped genera más emociones positivas y reduce las negativas, siendo este efecto más acentuado en los estudiantes que no habían cursado un bachillerato de ciencias en su etapa pre-universitaria.

In general, laboratory activities are costly in terms of time, space, and money. As such, the ability to provide realistically simulated laboratory data that enables students to practice data analysis techniques as a complementary activity would be expected to reduce these costs while opening up very interesting possibilities. In the present work, a novel methodology is presented for design of analytical chemistry instrumental analysis exercises that can be automatically personalized for each student and the results evaluated immediately. The proposed system provides each student with a different set of experimental data generated randomly while satisfying a set of constraints, rather than using data obtained from actual laboratory work. This allows the instructor to provide students with a set of practical problems to complement their regular laboratory work along with the corresponding feedback provided by the system's automatic evaluation process. To this end, the Goodle Grading Management System (GMS), an innovative web-based educational tool for automating the collection and assessment of practical exercises for engineering and scientific courses, was developed. The proposed methodology takes full advantage of the Goodle GMS fusion code architecture. The design of a particular exercise is provided ad hoc by the instructor and requires basic Matlab knowledge. The system has been employed with satisfactory results in several university courses. To demonstrate the automatic evaluation process, three exercises are presented in detail. The first exercise involves a linear regression analysis of data and the calculation of the quality parameters of an instrumental analysis method. The second and third exercises address two different comparison tests, a comparison test of the mean and a t-paired test.