科技企业数字化学习的学习与应用分析

Hongsheng Wang, Kaiyu Yi, Zhixian Zhong
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引用次数: 0

摘要

随着人工智能时代的到来,企业采用数字化学习代替传统的企业培训方式是大势所趋。数字化学习在企业人才培养战略中发挥着积极的作用,为企业带来了良好的经济效益。数字化教学将产生复杂的数据。学习与分析技术是利用大数据对学习者的学习行为进行定量分析,为学习者的自我评价和企业学习评估提供依据,并为决策者做出决策和预判动作。提供数据支持。本文介绍了研究分析,探讨了其在企业数字化学习中的潜在应用,并分析了学习面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning and Analyzing the Application of Digital Learning in Technology Enterprises
With the advent of the artificial intelligence era, it is an irresistible trend for enterprises to adopt digital learning instead of traditional corporate training methods. Digital learning plays an active role in the enterprise talent training strategy and brings good economic benefits to the enterprise. Digital teaching will produce complicated data. Learning and analysis technology is to use big data to quantitatively analyze learners' learning behaviors, provide evidence for learners' self-evaluation and corporate learning assessment, and also make decision-making and pre-judgment actions for decision makers. Provide data support. This paper introduces the study analysis, to explore its potential applications in enterprise digital learning, and learning challenges facing the analysis.
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