Business Process-driven Learning
نویسندگان
چکیده
With information technology progressing on a nearly day-to-day basis with respect to technical feasibility, general availability and individual familiarity, challenges of eLearning at the workplace no longer reside in technical impediments. Whereas bulky, unhandy software, weak network connections or low usability used to present the major obstacles, it is now the missing integration of eLearning in organizational processes that hinders its true business value to unfold [1]. Thus, respective research efforts no longer need to focus on pure technical implementations. Rather, they must tackle the issue of effective, i.e. business process-driven learning strategies realized by cutting-edge technology. Methods, concepts and information systems that allow eLearning tools, environments and solutions to be integrated and aligned to companies’ major business infrastructure loom large in the field of technology-enhanced learning (TEL) as outlined in this paper and based on the recent research of the EU IST integrated project PROLIX (www.prolix-project.org).
منابع مشابه
Debt Collection Industry: Machine Learning Approach
Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...
متن کاملConcept drift detection in business process logs using deep learning
Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...
متن کاملThe Role of Machine Learning in Business Optimization
In a trend that reflects the increasing demand for intelligent applications driven by business data, IBM today is building out a significant number of applications that leverage machine learning technologies to optimize business process decisions. This talk highlights this trend; and describes the many different ways in which leading edge machine learning concepts are being utilized in business...
متن کاملApplying Business Process Oriented Learning in Industry: The PROLIX Solution Approach Based on a Case Study
With human capital being critical to corporate success, aligning individual training with business priorities, emerges as a key challenge. Business process oriented learning unites corporate training and business process management. This entails integrating learning into daily working tasks and putting in place mechanisms for the effective management of business processes, organisational roles,...
متن کاملApplying Business Process Oriented Learning in Industry
With human capital being critical to corporate success, aligning individual training with business priorities, emerges as a key challenge. Business process oriented learning unites corporate training and business process management. This entails integrating learning into daily working tasks and putting in place mechanisms for the effective management of business processes, organisational roles,...
متن کاملCompetency - and Process-Driven e-Learning – a Model-Based Approach
As a matter of fact e-Learning still has not really caught on for corporate training purposes. Investigations on the reasons reveal that e-Learning modules like WBTs often miss any relevance for the tasks to be accomplished in the day-to-day workplace settings. The very learning needs both from an organizational and individual perspective are neglected. Content brought to the learner very often...
متن کامل