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Título
Interpretation of computational thinking evaluation results for enrollment prediction
Autor(es)
Materia
Computational thinking
Problem solving
Higher education
Programming teaching
Programming Learning
Clasificación UNESCO
1203.17 Informática
Fecha de publicación
2019
Citación
A. Rojas-López and F. J. García-Peñalvo, "Interpretation of computational thinking evaluation results for enrollment prediction," in TEEM’19 Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality (Leon, Spain, October 16th-18th, 2019), M. Á. Conde-González, F. J. Rodríguez-Sedano, C. Fernández-Llamas and F. J. García-Peñalvo, Eds. ICPS: ACM International Conference Proceedings Series, pp. 13-18, New York, NY, USA: ACM, 2019. doi: 10.1145/3362789.3362803.
Resumen
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.
URI
DOI
10.1145/3362789.3362803
Colecciones
- GRIAL. Artículos [441]