高等教育背景下分析项目的评价

I. Guitart, J. Conesa
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引用次数: 1

摘要

高等教育环境正在转向以数据为导向的哲学,就像它在其他环境中普遍发生的那样,从总体上改变了社会,并普及了“分析”一词。激励因素是高等教育背景下正在进行的范式转变,国际层面的竞争日益激烈,新型教学的出现,如大规模采用电子学习和大规模在线开放课程(MOOC)。由于这种转变,高等教育机构正在投入大量的资金和资源来开发和植入分析系统。这些分析系统中的大多数都是不成功的,因为它们偏离了最初的计划,或者没有解决所提出的分析问题。在以前采用分析导向的企业环境中也发生过类似的情况。在本文中,我们建议在分析系统的规范、开发和植入中适应企业环境的经验和成熟度,以定义适应大学环境的项目管理路线图。拟议的路线图考虑到吸取的经验教训,以便提供指南,允许定义、执行和关闭项目,以系统地开发和植入分析系统,并增加项目的潜在成功。该路线图支持:1)定义分析项目,通过评估大学是否准备好开发和使用分析系统,以及分析问题是否真实且与大学相关;2)通过提供一组关键的成功因素和指标来监控开发活动,指导分析系统的开发;3)通过遵循成功植入系统的策略来植入和验证分析系统。成功地为其潜在用户采用该系统,并验证其在大学中的影响和效用。
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Evaluation of Analytic Projects in the Context of Higher Education
Higher Education environment is moving to a data-oriented philosophy, as it has happened in general in other contexts, transforming the society in general and popularizing the term analytics. The motivation factor is the paradigm shift that is being experimented in the higher education context, with a high increment of the competition at international level and with the irruption of new kinds of teaching, such as the massive adoption of eLearning and the Massive Online Open Courses (MOOC). Due to this conversion, higher education organizations are investing gargantuan quantities of money and resources to develop and implant analytic systems. Most of these analytic systems are unsuccessful either because they deviate from the initial planning or do not solve the proposed analytic problem. A similar situation happened before in the enterprise context, where the analytical orientation was adopted previously. In this paper we propose to adapt the experience and maturity of the enterprise environment in the specification, development and implantation of analytic systems in order to define a project management roadmap adapted to the university environment. The proposed roadmap take into account lessons learnt in order to provide guides that allow defining, conducting and closing projects to develop and implant analytic systems systematically and increase the potential success of the project. The roadmap gives support to: 1) defining the analytic project, by evaluating whether the university is ready to develop and use an analytic system and whether the analytic problem is real and relevant for the university, 2) conducting the development of the analytic system, by providing a set of critical success factors to take into account and indicators to use to monitor the development activity, and 3) implanting and validating the analytic system, by following strategies for a successful implantation of the system, a successful adoption of the system for its potential users and a validation of its impact and utility in the university.
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