DIGITAL LIBRARY
SUPPORTING THE REPRESENTATION OF PERSONAL LEARNING PATHS FOR GOAL-ORIENTED PROFESSIONAL QUALIFICATION
1 FernUniversität in Hagen (GERMANY)
2 Wilhelm Büchner Hochschule (GERMANY)
About this paper:
Appears in: EDULEARN21 Proceedings
Publication year: 2021
Pages: 3850-3859
ISBN: 978-84-09-31267-2
ISSN: 2340-1117
doi: 10.21125/edulearn.2021.0813
Conference name: 13th International Conference on Education and New Learning Technologies
Dates: 5-6 July, 2021
Location: Online Conference
Abstract:
Digitization, globalization, and the fast continuous change of job profiles are forcing employees to engage in continuous professional learning in order to maintain their employability and to equip them with the optimal qualifications for the labor market in a goal-oriented manner. By 2022, the available talent and workforce for modern technologies will not be able to meet even 30 percent of global demand. The shortage of skilled workers in the IT environment, especially for new technologies, is already clearly noticeable in the German market. A goal-oriented requalification as upskilling and reskilling is urgently needed to continuously qualify people with the required qualifications for the right job profiles at the right time to react to future job market needs. The described concept enables employees to choose from automatically generated learning paths. Based on a Semantic Qualification Web one or more goal-oriented personal learning paths, for consideration, execution, and continuous evolution is generated. The focus of this paper is on the visualization of such learning paths and the creation of a graphical user interface in a prove-of-concept implementation.
Keywords:
Lifelong learning, Building Learning paths, digitalization, qualification, skills, visualization, training, research, SQW, Innovation, technology.