首页> 外文会议>Latin American Computer Conference >Monitoring Strategy for Analyzing the First-Year University Students' Performance According to Their Profiles of Provenance
【24h】

Monitoring Strategy for Analyzing the First-Year University Students' Performance According to Their Profiles of Provenance

机译:根据学生来源状况分析一年级学生表现的监测策略

获取原文

摘要

In 2014, Rey Juan Carlos University (from Spain) has implemented the Service Science, Management and Engineering career. From the study conducted in 2016, the formulated hypothesis that the students' evidenced performance in the different modules of the career (i.e., Fundamentals, Technology, Personal Skills, Services and Companies) is affected by the secondary school modality of provenance. Aimed at monitoring the performance of first-year students of this career, in the present work we propose the use of a Holistic Evaluation Approach for Quality. This approach has a family of integrated evaluation strategies which allows achieving goals for diverse purposes such as to understand, compare, monitor, among others. In a nutshell, a strategy integrates a conceptual base with process and method specifications, which ensures that evaluation projects' results are consistent and comparable over time. Particularly, in this work, we use the monitoring strategy for understanding the performance of students, in the first year of the abovementioned career, from 2014 to 2017 period of time. The yielded outcomes will serve as a basis for the development of a predictive model. This will allow to the University to propose instruments aimed at improving the performance of students regarding the predominant modality of provenance.
机译:2014年,来自西班牙的雷·胡安·卡洛斯大学(Rey Juan Carlos University)开展了服务科学,管理和工程职业。从2016年进行的研究中得出的假设是,学生在不同职业模块(即基础知识,技术,个人技能,服务和公司)中表现出来的表现受到中学来源方式的影响。为了监控这一职业的一年级学生的表现,在本工作中,我们建议使用整体质量评估方法。这种方法具有一系列综合评估策略,可以实现用于多种目的的目标,例如理解,比较,监控等。简而言之,策略将概念基础与流程和方法规范集成在一起,从而确保评估项目的结果随时间推移而保持一致和可比。特别是,在这项工作中,我们使用监控策略来了解上述职业第一年(2014年至2017年)学生的表现。产生的结果将作为开发预测模型的基础。这将使大学能够就主要的出身方式提出旨在提高学生表现的工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号