LeAP – Learning Analytics Profile
Author(s):
Cooperation Partners:
Chair of Learning, Design and Technology
Description:
The field of learning analytics is generating growing interest in data and computer science as well educational science and hence, becoming an important aspect of modern e-learning environments. However, implementing learning analytics into existing legacy systems in learning environments with high data privacy concerns is quite a challenge. This research shows how a learning analytics application has been implemented into such an existing university environment by adding a plugin to the local digital learning environment which injects user centric information to specific objects within students’ and teachers’ learning environment. The LeAP platform can be used in various learning and teaching scenarios in order to provide adaptive support for learners and teachers.
Educational Data Literacy
Author(s):
Cooperation Partners:
University of Piraeus Research Center (UPRC), Norwegian University of Science and Technology (NTNU), imc information multimedia communication AG (IMC), Lattanzio Learning s.r.l. (LL), Enovation (ES)
Description:
This research project on Educational Data Literacy develops and validates a framework and provides professional learning opportunities for stakeholders.
Educational Data Literacy (EDL) is the ethically responsible collection, management, analysis, comprehension, interpretation, and application of data from educational contexts. With the growing availability of educational data stemming from the digital learning environments and related learning and teaching processes as well as their contexts, instructional designers, e-Trainers, and teachers (among other stakeholders) gain significant information for enhancing on-demand personalised educational support of individual learners as well as reflective course (re)design for achieving more aut The Learn2Analyze project has developed a comprehensive proposal for an Educational Data Literacy Competence Framework to enhance existing competence frameworks for instructional designers and e-trainers of online courses with new Educational Data Literacy competences. The Learn2Analyze Educational Data Literacy Competence Framework comprises of 6 competence dimensions and 17 competence statements.
Competence development in VET enculturation processes
Author(s):
Cooperation Partners:
Esther Winther, University of Duisburg-Essen; Vocational schools/
Description:
The DFG funded research project analyzes the competence development in vocational education training (VET) as well as relevant success factors for competence development for commercial apprentices (n = 877). With this objective, the project refers to the modeling of VET enculturation processes at both group and individual level, including the description of company learning conditions.
A validated competence assessment is used simultaneously with an instrument for recording the enculturation conditions of vocational learning at the beginning, at the middle and at the end of initial vocational training (longitudinal design). Via this design, practical findings about the genesis of professional competences can be generated that help companies to improve their educational programmes.