The DEVELOP project is researching how to apply privacy- and ethics-by-design to the development of the project's learning platform. Our objective is to make data privacy a key component of the learning environment, and to help balance the privacy interests of employees with the talent management desires of employers.
With this blog article, we want to inform you about the latest developments and results of the DEVELOP project. In this article, you will learn about the DEVELOP Personalised Learning Environment, Competency Management System, Social Network Analysis, Game-based Assessment, and Social Learning Tool. You will also get informed about the upcoming developments and events in 2018.
The DEVELOP project is creating new tools to assess and train work place competencies and aid the career development of an employee in large organisations. The project team has completed a first prototype of the DEVELOP Personalized Learning Environment, the project’s major solution to offer career guidance to employees. With this article, we want to invite you to join us for a brief walk-through of the DEVELOP environment, showcasing important features and expected benefits for users of the DEVELOP system.
DEVELOP offers a personalised learning environment for employees seeking to redirect, design, or further build their career path. This environment allows you to set your own career goals and find out whether you should change jobs based on your competencies, or deal with more responsibility in your current job role. In this article you will learn about the transversal competency clusters in DEVELOP and about the leadership game assisting you in developing this particular competency.
Nowadays, developing an agile mindset is crucial for all organizations longing to sustain their presence in the market and boost their profitability. This article provides some ideas on how to create an organizational learning culture, where learning happens for everyone, every day, leading to increased job satisfaction and confidence in handling oncoming challenges.
How do you prevent the recommendations from the system (about career goal, or suitable learning interventions) and its assessments (for example about a user’s management style) becoming self-fulfilling prophecies? How can you mitigate the risk of limiting human agency and autonomy, if using such recommendation system? This article provides some first ideas.