DocumentCode :
3378963
Title :
Technicians and their learning styles preferences and cognitive processes of formal inferences
Author :
Reynoso, Luis ; Grosclaude, Eduardo ; Sanchez, L. ; Alvarez, M.
Author_Institution :
Fac. of Comput. Sci., Univ. of Comahue, Buenos Aires, Argentina
fYear :
2013
fDate :
16-18 July 2013
Firstpage :
51
Lastpage :
60
Abstract :
During the last seven years several Argentinian national universities have offered (as part of their academic studies and programs) different undergraduate degrees under the denomination of technical degrees. The personal characteristics of their students are radically different from the traditional academic offer. Students learn by practicing and they comprehend information best by actively doing something with the information. We ran an experiment with students of a technical degree of web development in a course of Programming Introduction using Python. Preliminary findings revealed that their learning styles are mainly active and visual, and learners who are more verbal or have stronger concrete experience obtained higher scores in their tests. They perceive that inductive tasks are easier than deductive and abductive tasks. We also found that those subjects who are more efficient in solving formal inference tasks obtained higher qualifications in their exams. The findings can be useful not only for didactic transposition in teaching courses which take into account the balance of the students´ preference but also to develop new instructional methods and software which focus on the cognitive preferences and cognitive process of technicians.
Keywords :
computer aided instruction; educational courses; educational institutions; inference mechanisms; Argentinian national universities; Python; Web development technical degree; active learning style; cognitive process; formal inference; instructional methods; instructional software; learning style preference; programming introduction course; student preference; technical degree denomination; visual learning style; Abstracts; Cognition; Concrete; Educational institutions; Programming; Visualization; Cognitive Process; Formal Inferences; Information Acquisition; Learning Style Models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2013 12th IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4799-0781-6
Type :
conf
DOI :
10.1109/ICCI-CC.2013.6622225
Filename :
6622225
Link To Document :
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