Artificial intelligence in learning and development: a systematic literature review

被引:15
|
作者
Bhatt, Parag [1 ]
Muduli, Ashutosh [1 ]
机构
[1] Pandit Deendayal Energy Univ, Sch Petr Management, Gandhinagar, India
关键词
Artificial intelligence; Learning and development; Learning analytics; Industry; 4; 0; e-learning; Knowledge management; Big data; TECHNOLOGY; MANAGEMENT; AI; ANALYTICS; KNOWLEDGE; BENEFITS; MODEL; HRM;
D O I
10.1108/EJTD-09-2021-0143
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose The presented research explored artificial intelligence (AI) application in the learning and development (L&D) function. Although a few studies reported AI and the people management processes, a systematic and structured study that evaluates the integration of AI with L&D focusing on scope, adoption and affecting factors is mainly absent. This study aims to explore L&D-related AI innovations, AI's role in L&D processes, advantages of AI adoption and factors leading to effective AI-based learning following the analyse, design, develop, implement and evaluate approach. Design/methodology/approach The presented research has adopted a systematic literature review method to critically analyse, synthesise and map the extant research by identifying the broad themes involved. The review approach includes determining a time horizon, database selection, article selection and article classification. Databases from Emerald, Sage, Francis and Taylor, etc. were used, and the 81 research articles published between 1996 and 2022 were identified for analysis. Findings The result shows that AI innovations such as natural language processing, artificial neural networks, interactive voice response and text to speech, speech to text, technology-enhanced learning and robots can improve L&D process efficiency. One can achieve this by facilitating the articulation of learning module, identifying learners through face recognition and speech recognition systems, completing course work, etc. Further, the result also shows that AI can be adopted in evaluating learning aptitude, testing learners' memory, tracking learning progress, measuring learning effectiveness, helping learners identify mistakes and suggesting corrections. Finally, L&D professionals can use AI to facilitate a quicker, more accurate and cheaper learning process, suitable for a large learning audience at a time, flexible, efficient, convenient and less expensive for learners. Originality/value In the absence of any systematic research on AI in L&D function, the result of this study may provide useful insights to researchers and practitioners.
引用
收藏
页码:677 / 694
页数:18
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