@inproceedings{FroschLindauerZuidhof2024, author = {Frosch, Katharina and Lindauer, Friederike and Zuidhof, Niek}, title = {Exploring the Digital Divide in Workplace Learning: A Rapid Review}, series = {ICDS 2024, The Eighteenth International Conference on Digital Society, Barcelona, Spain}, booktitle = {ICDS 2024, The Eighteenth International Conference on Digital Society, Barcelona, Spain}, publisher = {IARIA}, pages = {1 -- 6}, year = {2024}, abstract = {This article examines the digital learning divide in workplace learning, with an emphasis on the disparity in the distribution of advanced learning technologies (ALT) across different types of workplaces. The study employs a rapid literature review methodology to analyze the utilization of ALT in workplace learning. The findings indicate that the use of ALT is predominantly concentrated in the education, health and medical sectors, with limited implementation in other sectors. Moreover, in smaller organizations, in non-technical sectors and among white-collar workers, there are fewer opportunities for technology-enhanced learning. The study highlights the need for more inclusive and comprehensive research to address the digital divide in workplace learning, taking into consideration practice-based evidence and exploring the themes covered by training. Furthermore, the paper proposes an investigation into the complexity and resource intensity of implementing ALT to enhance technology-based learning in all workplaces. In general, this research establishes the basis for comprehending and bridging the digital learning divide in the workplace.}, language = {en} } @article{FroschZuidhof, author = {Frosch, Katharina and Zuidhof, Niek}, title = {Using Mobile Technologies for Situating Bite-Sized Learning at the Workplace}, series = {International Journal On Advances in Intelligent Systems}, volume = {16}, journal = {International Journal On Advances in Intelligent Systems}, number = {3 \& 4}, publisher = {IARIA}, pages = {89 -- 101}, abstract = {Learning in the workplace is crucial for updating and upskilling the workforce to both new and existing employees. Given the limited opportunities for informal learning due to solitary work conditions or off-site locations, mobile devices like smartphones and wearables such as smart glasses can play a significant role. The aim of this paper is to investigate the extent to which mobile micro-learning can enhance work-related education, with a focus on lightweight, practical applications in learning-deprived environments. Comparative analyses are presented for mobile micro-learning approaches for smartphones and smart glasses based on recent studies, specifically examining their impact on learning and modes of interaction. Based on good practices of recent MML implementations, we present principles for implementation and offer lightweight proof-of-concept models for both handheld devices and smart glasses. This knowledge might be relevant for researchers, small and medium-sized enterprises, practitioners, and others involved in knowledge transfer}, language = {de} }