M-LEARNING FOR THE RECRUITMENT AND SELECTION OF HUMAN TALENT. CASE: INTERVIEW

Paula Asto Machaca, Luis Alfaro Casas
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Abstract

The job interview within the recruitment and selection process is a very important activity for both the candidate and the company that requires staff. In order to improve the preparation of the job applicant, many artificial intelligence techniques together with emerging technologies could be used. This paper presents a mobile learning application with two modules for learning and practice using textual case-based reasoning to improve system performance. The document describes the architecture of the design of the system, implementation, and evaluation of mobile learning system. The results of the evaluation show that the mobile learning system is technically feasible, didactic effective and user-friendly.
移动学习对人才的招聘和选择。例:面试
在招聘和选择过程中的工作面试对候选人和需要员工的公司来说都是非常重要的活动。为了提高求职者的准备,许多人工智能技术和新兴技术可以被使用。本文提出了一个移动学习应用程序,包含两个模块,分别用于学习和练习,使用基于文本的案例推理来提高系统性能。本文描述了系统的架构设计、实现和移动学习系统的评估。评价结果表明,该移动学习系统技术可行、教学有效、用户友好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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