A5061320364- Online Learning and Analytics
- E-Learning and Knowledge Management
- Online and Blended Learning
- Educational Innovations and Technology
- Engineering Education and Curriculum Development
- Big Data and Business Intelligence
- Innovative Teaching and Learning Methods
- Student Assessment and Feedback
- Teaching and Learning Programming
- Intelligent Tutoring Systems and Adaptive Learning
- Evaluation of Teaching Practices
- Higher Education Learning Practices
- Data Visualization and Analytics
- Software System Performance and Reliability
- Educational Innovations and Challenges
- Advanced Text Analysis Techniques
- Complex Systems and Decision Making
- Experimental Learning in Engineering
KU Leuven
2016-2020
Abstract Despite the success of academic advising dashboards in several higher educational institutions (HEI), these are still under‐explored Latin American HEI's. To close this gap, three different universities adapted an existing dashboard, originally deployed at KU Leuven to their own context. In all cases, context was main ruling factor adaptations. paper, we describe adaptions using a framework that focuses on four elements context: Objectives, Stakeholders, Key moment and Interactions....
Abstract In Latin American universities, Learning Analytics (LA) has been perceived as a promising opportunity to leverage data meet the needs of diverse student cohort. Although universities have collecting educational for years, adoption LA in this region is still limited due lack expertise and policies processing using data. order get better picture how existing data‐related practices might affect incorporation institutions, we conducted mixed methods study four (two Chilean two...
In this study, we present a case study involving two self-service dashboards providing feedback on learning and skills academic achievement. These were offered to first-year university students in several programmes Flanders, Belgium. Data for collected using usage tracking (N = 2875) survey taken at the beginning of second year before 484) after 538) introduction dashboards. We found that early dashboard is related achievement later students' review received first improved. Although these...
Purpose The purpose of this paper is to draw attention the potential “small data” complement research in learning analytics (LA) and share some insights learned from approach. Design/methodology/approach This study demonstrates an approach inspired by design science research, making a dashboard available n =1,905 students 11 programs (used =887) learn how it being used gather student feedback. Findings Students react positively LA dashboard, but usage feedback differ depending on success....
To start medical or dentistry studies in Flanders, prospective students need to pass a central admission test. A blended program with four Small Private Online Courses (SPOCs) was designed support those students. The logs from the platform provide an opportunity delve into learners’ interactions and develop predictive models forecast success Moreover, use of different courses allows analyzing how can generalize across courses. This article has following objectives: (1) analyze who will test,...
Abstract Many Latin‐American institutions recognise the potential of learning analytics (LA). However, number actual LA implementations at scale remains limited, notwithstanding considerable effort made to formulate guidelines and frameworks support policy development. Guidance on how coordinate interaction between policymaking implementation is mostly missing, leaving a difficult challenge up practitioners. In this study we propose coordination model future initiatives scale. We explore...
Our work focuses on a multi-institutional implementation and evaluation of Learning Analytics Dashboards (LAD) at scale, providing feedback to N=337 aspiring STEM (science, technology, engineering mathematics) students participating in region-wide positioning test before entering the study program. Study advisors were closely involved design dashboard. The context our case requires careful consideration external stakeholders data ownership portability issues, which gives shape technical LAD....