Abstract:

The main objective of the European Higher Education Area is to turn European university systems into an international benchmark for the quality of the teaching provided. To achieve this objective, it is necessary to adapt classic teaching methodologies and their organization to the new teaching framework, which in turn entails the establishment of techniques and practices that allow teaching to be fully evaluated.

In this sense, continuous evaluation is the best and most appropriate instrument for evaluating the knowledge learned by students. Continuous evaluation allows teachers to know and manage the differences among students and to clarify the concepts. In fact, it has been observed that students who participate in this type of evaluation have greater guarantees of passing the subjects than the rest of the students. Therefore, applying this continuous evaluation model means carrying out, throughout the academic year, certain periodicity evaluable activities, which make it easier to assimilate the concepts and the progressive development of the contents and the competencies that must be achieved. To improve the management of the correction of all activities, tools based on artificial intelligence emerged, such as Gradescope, which makes it possible to speed up grading with less supervision by teachers and guarantee the quality of their evaluations of all types of teaching activities and exams. The type of teaching activities that will be graded are multiple-choice, solving numerical calculation problems, submitting practice reports, and solving short or long-answer questionnaires.

The objectives of this project are to validate the grade of the Gradescope application in the different types of teaching activities proposed during the continuous evaluation and to quantify the time invested in using the Gradescope application to qualify them in the continuous evaluation. The time invested in qualifying the different teaching activities and exams was less in the case of using Gradescope compared to manual correction by the teacher. Furthermore, a good correlation was observed between the qualifications calculated by hand by the teacher and those calculated by Gradescope. In conclusion, artificial intelligence programs can streamline the management tasks involved in carrying out continuous evaluations in classes with many students.

Keywords:

Artificial Intelligence, Qualification, Continuous Evaluation, Gradescope, Pharmacy.