Initial learning scenarios based on the computational thinking evaluation for the course Programming fundamentals at INACAP

The paper’s objective is present the design and the planning of initial learning scenarios for the course Programming Fundamentals, from the evaluation of computational thinking to new students of the careers Computer engineering and Programmer analyst of the Technological University of Chile and Training Center Technical respectively at INACAP, to favor the motivation and autonomy of study through the recognition of skills and the use of the instructional design of the face-to-face course. The proposal is based on correspondence with three of five change trends that integrated the educational model. Regarding the Knowledge society, promote recognition of the individuality of the student as a person who will do university studies, that is, the scenarios respond to the fact that each person learns differently. In the Training of competences, contribute with preventive actions that the teacher communicates when there is a lack of specific skills. Finally, in the Flexibility and articulation, provide a diagnostic tool that favors the recognition of previous competences to have an articulated beginning of studies based on the needs of the student. Consequently, contribute to the INACAP´s educational model

Interpretation of computational thinking evaluation results for enrollment prediction

During two generations (2016 and 2017) the computational thinking evaluation has been carried out in order to establish learning scenarios for new students, such interventions have been made in the Programming methodology course, it belonging to the career of Information Technology at the Technological University of Puebla in México. The results have led a personalized education for students, recognizing previous skills as well as trying to correct those missing, so that it acquires the competences respective, credit the course and improve the retention percentage of the first quarter. In this sense, when detecting possible skill gaps, is it possible to predict what will be the impact to maintain or decrease enrollment during and the end of quarter? The present work aims to answer the question by the results interpretation obtained from the computational thinking evaluation to 242 new students, generation 2018. Initially, it was stablished which would be the student's situation during and the end of four months from September to December based on the correct assessment reagents; three categories were determined: 1. Sure desertion, 2. Safe permanence, 3. Variable permanence. Later, 50 students who enrolled the next quarter (January-April 2019) were revised if they had been predicted properly; using a survey, the familiarity of key concepts of the subject Programming methodology was obtained with the aim of determining a correspondence with the evaluation of computational thinking skills, as well as the established situation, consequently, establishing the validity of predicting the enrollment