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Title:      ANALYSIS OF LEARNING OBJECTS FOR OPTIMIZATION AND DIGITAL TRANSFER REPORT OF INTERMEDIATE RESULTS ON LEARNING PATH IDEAS - FIRST SURVEY
Author(s):      Fabian Dillenhöfer and Bernd Künne
ISBN:      978-989-8704-39-9
Editors:      Miguel Baptista Nunes and Pedro Isaias
Year:      2022
Edition:      Single
Keywords:      E-Learning, Distance Education, Higher Education, Scientific Survey, Didactic, Competence Learning, COVID-19
Type:      Short Paper
First Page:      169
Last Page:      172
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      This paper is a progress report about a project that consists of five stages starting with an analysis of the current state of application of higher educational learning material with regards to structural format and media didactics. The aim of this analysis has been accomplished through an initial survey with the motivation to analyze didactic and digital aspects of final study competencies as well as individual learning styles. The next stages include a digitalization process and an upcoming evaluation section. The results of the initial survey show that key competence goals that are formulated by teachers are not always comprehended and accepted by students. Students sometimes do not understand the purpose of the teachers' learning path ideas and, thus, do not accept some subjects and intermediate goals. These lacks of acceptance provide a fundamental basis of refining teaching courses. This report summarizes an approach to optimize learning goals and digital transfer so that precise evaluation helps finding these misconceptions and therefore both course structure and learning materials can be improved. Furthermore, it advices teachers to focus on teaching relevant topics not only for exam purposes but also for future professional competencies. Finally, this paper serves an example for teachers, especially of higher education level, to find weaknesses in a teaching objective and how to prioritize optimization, thereby clarify the learning path to students. This increases motivation and improves digital transfer.
   

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