Every program faces the same educational challenge of creating a connected curriculum. The blended learning team is currently working on two projects that deal with learning trajectories (leerlijnen). One is about visualising these learning trajectories for teachers and students, and the other is about embedding applied math and statistics. For the time being you can read about these projects on this page.
Visualising Learning Trajectories
The aim of this tool is to visualise the build-up and coherence of Learning Trajectories. As a means to visually connect course learning goals (intended learning outcomes) with learning trajectories on the one hand, and learning goals with bachelor-level descriptors (eindtermen) on the other, an interactive tool is currently being developed. This tool will be integrated into Datanose, the FNWI’s specific platform, and is based on Blooms Taxonomy of Learning Domains. It has some unique features:
- Visualise coherence between assessment, teaching strategies and learning goals (intended learning outcomes) in a course (constructive alignment);
- Teachers, course co-ordinators and learning trajectory co-ordinators will be able to put in details about (their) courses, such as a short description, course availability, work and exam methods, and most importantly, individual learning outcomes. These can be connected (visually and physically) with the learning goals of appropriate learning trajectories and bachelor-level descriptors;
- It is based on Blooms Taxonomy of Learning Domains.
Students can also use the tool to get an overview of the build-up and coherence of learning trajectories. In addition, on course level, it clarifies the learning goals (intended learning outcomes) at forehand and the (Bloom-)level of performance that is to be attained.
The tool is currently being developed as a co-operation between the Blended Learning team and the ICTO-team, and is based on the University of Utrecht tool. This project is under supervision of Ilja Boor (who you might know from this good practice).
Embedding Applied Math & Statistics
All programs at the Faculty of Science involve some sort of applied math and/or statistics and so there is a lot of overlap between curricula in both teaching and learning. Because math and statistics is so universal and important to our faculty, the blended learning project team has formulated several ambitions in the context of math and statistics:
- Explore opportunities to create and share learning materials across programs;
- Assist teachers on a course-level in the constructive alignment of learning goals, activities and assessment;
- Assist teachers on a program-level to effectively embed applied math and statistics in their curriculum.
Two of the main didactical challenges that have been identified are:
- Heterogeneity: students are not always at the required level in terms of prior knowledge and mastery of basic skills when starting a program or course;
- Application: when learning new math and/or statistics, it is important for students to understand how the subject relates to their field of study but this is not always evident.
A team of experts has been put together to address these challenges and ambitions. We are actively reaching out to teachers but feel free to contact us if you have a question or just want to see what is possible. You can send an e-mail to firstname.lastname@example.org.
We make extensive use of SOWISO. The following video (in Dutch) shows how to get access to some of the course material: