Indian Journal of Science and Technology
Year: 2018, Volume: 11, Issue: 33, Pages: 1-7
Waldyr Fong Silva1 *, José D. Patino Moncada2 and Jose Jaimes Morales3
1 Metrology Program, University of Cartagena, GIMIFEC Research Group, Cartagena-Colombia; [email protected]
2 Economy Program, Universidad de Cartagena, Research Group on Information Technology, Entrepreneurship and Society. Cartagena-Colombia; [email protected]
3 Nursing Program, University of Cartagena, MAAS Metal as a Service Research Group, Cartagena-Colombia; [email protected]
*Author for correspondence
Waldyr Fong Silva,
Metrology Program, University of Cartagena, GIMIFEC Research Group, Cartagena-Colombia; [email protected]
Objectives: A study was carried out that evaluated the association between student attitude and motivation with the self-regulation of learning in Engineering students, in an estimated one thousand two hundred and fifty (1250) students between the years 2014 and 2016. Methods/Statistical Analysis: An inferential statistical study was performed. Selfregulation of learning was assessed using the SRLI (Self-Regulation of Learning Inventory), which is a questionnaire consisting of 80 questions weighted from 1 to 5 on the basis the linker scale. To quantify the Learning Self-Regulation score, each scale of the instrument was quantified separately and the total score is the sum of each of the scales that make it up. The Chi-Square test between self-regulation of learning and the variables Student Attitude and Motivation was used to know if there is statistical significance between them taking into account the hypothesis test. Findings: The results indicate that there is an important association of statistical significance between attitude and self-regulation of learning, motivation and self-regulation of learning and between attitude and student motivation at a level of significance of 95%. Application/Improvements: The instrument for measuring Self-Regulation for Learning (SRLI) is considered a reliable and effective tool. It allows identifying weaknesses in students with the aim of adopting strategies and advising the teaching-learning processes according to the considerations that a self-regulated student must fulfill. In addition, knowing the statistical association between self-regulation of learning, attitude and motivation will allow professors to design improvement plans that contribute to improve decision-making in students and, at the same time, allow them to solve with relative ease problematic situations related to their area of professional performance.
Keywords: Association, Attitude, Motivation, Self-Regulation, Statistic, Students
Subscribe now for latest articles and news.