Personalised Employee Training

Patki, Sharvesh; Sankhe, Viddhesh; Jawwad, Mohd.; Mulla, Nikahat

doi:10.1109/iccict50803.2021.9510056

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Intelligent learning systems. Five studies report on how artificial intelligence can change the way in which companies recruit, train, educate and manage employees (Haque et al, 2021;Larkin, 2017;Maity, 2019;Patki et al, 2021). In another study researchers discuss the salient factors in designing transparent intelligent systems using machine learning.…”

Section: Q2 What Are the Effects Of Digital Systems And Tools In Pl I...mentioning

confidence: 99%

Corporate training for developing social media literacy skills: personalized approach

Osipovskaya

Savelyeva

2023

Vestn. Ross. univ. družby nar., Ser. Literaturoved. žurnal.

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Today social media can be a highly effective tool in business by attracting new customers, getting their feedback, building loyalty, and increasing a company's market reach. However, what happens when it goes wrong? One of the most common problems with social media is that information that was previously private can now be presented to the world by one mouse click. Employees are directly linked to their employers on social media, so if an employee writes a controversial statement online, reputational damage to a company can be devastating. Hence, employees should receive basic social media literacy, to have the proficiency to communicate appropriately and responsibly. The only providers of this educational content for learning and development (LD) divisions are established media outlets that could force positive changes to the way companies learn. Upskilling and reskilling of employees have become a significant objective in strategic development for many companies, according to LinkedIn research. One-size-fit-for-all training approach is no longer effective. Therefore, even the development of social media literacy skills should be personalized. The study aims to determine: 1) contemporary understanding of media literacy skill in business context; 2) characteristics of the personalized learning (PL) environment that impact on learning outcomes; 3) personalized learning tools. Theoretical analysis is used to identify contemporary empirical studies associated with the implementation of PL in corporate learning between 2018 and 2022.

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Section: Q2 What Are the Effects Of Digital Systems And Tools In Pl I...mentioning

confidence: 99%

Corporate training for developing social media literacy skills: personalized approach

Osipovskaya

Savelyeva

2023

Vestn. Ross. univ. družby nar., Ser. Literaturoved. žurnal.

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Learning Analytics to close the gap in digital literacy of SMEs

Silva

Mamede

2022

2022 17th Iberian Conference on Information Systems and Technologies (CISTI)

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Toward Improving Human Training by Combining Wearable Full-Body IoT Sensors and Machine Learning

Akter,

Molnar,

Georgakopoulos

2024

Sensors

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This paper proposes DigitalUpSkilling, a novel IoT- and AI-based framework for improving and personalising the training of workers who are involved in physical-labour-intensive jobs. DigitalUpSkilling uses wearable IoT sensors to observe how individuals perform work activities. Such sensor observations are continuously processed to synthesise an avatar-like kinematic model for each worker who is being trained, referred to as the worker’s digital twins. The framework incorporates novel work activity recognition using generative adversarial network (GAN) and machine learning (ML) models for recognising the types and sequences of work activities by analysing an individual’s kinematic model. Finally, the development of skill proficiency ML is proposed to evaluate each trainee’s proficiency in work activities and the overall task. To illustrate DigitalUpSkilling from wearable IoT-sensor-driven kinematic models to GAN-ML models for work activity recognition and skill proficiency assessment, the paper presents a comprehensive study on how specific meat processing activities in a real-world work environment can be recognised and assessed. In the study, DigitalUpSkilling achieved 99% accuracy in recognising specific work activities performed by meat workers. The study also presents an evaluation of the proficiency of workers by comparing kinematic data from trainees performing work activities. The proposed DigitalUpSkilling framework lays the foundation for next-generation digital personalised training.

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Personalised Employee Training

Cited by 3 publications

References 9 publications

Corporate training for developing social media literacy skills: personalized approach

Corporate training for developing social media literacy skills: personalized approach

Learning Analytics to close the gap in digital literacy of SMEs

Toward Improving Human Training by Combining Wearable Full-Body IoT Sensors and Machine Learning

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