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Super Learning as a Strategy to Improve of Teaching Practice in Higher Education Institutions in Engineering

机译:超级学习是提高工科院校教学实践的一项策略

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Objective: To measure the Knowledge in Super learning of the professors of the civil engineering program at the Rafael Urbanite University municipality of Maracaibo-Zulia state (Venezuela). Methods/Statistical Analysis: The statistical method used in the present investigation was "Inferential Statistical". The T-Students test, with a significance level of 0.01 (α = 1%), was evaluated to make the comparative analysis between the difference of the arithmetic mean of the group of professors under study. To quantify the Knowledge of Super learning of professors, each scale of the instrument used (achievement test designed by Marzol) was assessed separately and its score corresponds to the sum of each scales that comprise it. This assessment was made before and after applying the professor awareness program (psychoeducational program). Findings: The results indicate that there is a statistically significant difference (t = 29,580) between the mean of the scores obtained by the groups of professors in study in knowledge of Super learning, before and after applying awareness program to professors. In the same way, the results show that teachers increased their knowledge of Super learning from 3.94 (Low) to 11.4 (medium) points, according to the interpretative classification of Marzol as a result of the psychoeducational program used in sensitization. Application/Improvements: By sensitizing university′s professors respect benefits of super learning, it is possible that applying this strategy of improving teaching practice at the institutions of engineering education, passive students become active students thus achieving decrease the graduation times of the students. This will allow the new professionals, scientists and innovators of the future to integrate more easily into the economic and technological dynamics of the new century.
机译:目的:测量马拉开波祖利亚州(委内瑞拉)拉斐尔城市大学的市政工程专业教授的超级学习知识。方法/统计分析:本研究中使用的统计方法为“推论统计”。对T型学生考试的显着性水平为0.01(α= 1%)进行了评估,以比较所研究的教授组的算术平均值差异。为了量化教授的超级学习知识,分别评估了所使用工具的每个等级(由Marzol设计的成就测试),并且其得分与构成该等级的每个等级的总和相对应。该评估是在应用教授意识计划(心理教育计划)之前和之后进行的。研究结果:结果表明,在对教授实施意识计划之前和之后,由研究超级学习知识的教授小组所获得的分数平均值之间存在统计学差异(t = 29,580)。同样,结果表明,根据在敏化过程中使用的心理教育计划对Marzol进行的解释性分类,教师将他们的超级学习知识从3.94(低)提高到11.4(中)。应用/改进:通过提高大学教授对超级学习的好处的认识,有可能应用这种在工程教育机构改善教学实践的策略,使被动学生成为主动学生,从而减少学生的毕业时间。这将使未来的新专业人员,科学家和创新者更轻松地融入新世纪的经济和技术动态。

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