E12AU_1_1: About the course | Stručna usavršavanja

This e-course is designed for the professional development of teachers in higher education. It focuses on learning analytics, which involves the collection and analysis of data about pupils/students and their learning environments, as well as reporting the results for the purpose of understanding and improving learning and teaching processes and the associated learning environments. The topics of the e-course include: the definition, characteristics, and purpose of applying learning analytics; types of data and data sources; data collection, analysis, and reporting of data analysis results; methods of interpreting and using analysed data; ethical aspects and personal data protection; and the application of learning analytics with the aim of improving learning and teaching (pedagogical interventions). The e-course is designed in accordance with innovative learning and teaching strategies. Problem-based learning, the flipped classroom, and inquiry-based learning are applied. Each topic also includes one video lesson. All activities take place online with the support of an instructor who acts as a facilitator.

Learning outcomes:

explain the importance of learning analytics for improving learning and teaching processes
analyse ethical aspects, personal data protection aspects, and limitations in the use of learning analytics
apply digital technologies for the purpose of collecting, analysing, and using data on student activities, performance, and progress
critically evaluate the sources, types, and quality of available data in order to gain more information about students’ learning and teaching processes
evaluate and adapt learning design, teaching strategies, and assessment methods based on the results obtained through the application of learning analytics
apply learning analytics with the aim of improving learning and teaching, and implementing pedagogical interventions

How can data help you better understand how your students learn, improve your teaching and encourage a more successful reach of learning outcomes? How can you know which resources and learning materials students use the most? At what point in the semester are students most active? How can you determine whether the assessment programme or the exam you’ve created are reliable and valid instruments for assessing student knowledge? How can you identify students at risk of dropping out? This module introduces yo u to the world of learning analytics – an approach that uses data from digital learning environments and analysis to improve learning and teaching. In this module, we will discuss how to collect, critically appraise, analyse learning data, and interpret th e results. From here, learn how to implement interventions and improve learning and teaching processes. Topics include core concepts in learning analytics, data sources and types, validity and ethics, analysis and reporting, interpretation, and interventio ns rooted in learning - analytics. Join us and discover how learning analytics can help you hone your teaching and enable students to more successfully achieve the learning outcomes, by listening to their needs.

Number of ECTS credits: 3

The expected participant workload for activities in this e-course is a total of 77 h 25 min, broken down by units as follows:

Module introduction: 1 h 25 min
Learning analytics: definitions, characteristics, purpose, applications: 15 h 40 min
Types of data and data sources: 12 h
Ethical aspects and personal data protection: 11 h 55 min
Data collection, analysis, and reporting of data analysis results: 16 h 10 min
Methods of interpretation and use of analysed data: 8 h 10 min
Application of learning analytics with the aim of improving learning and teaching: pedagogical interventions: 8 h 45 min
Module completion: self-evaluation of work and goals, course evaluation, certificate: 3 h 20 min