Jisc has been supporting seven research projects in learning analytics at UK universities over the past year. These have been in the areas of curriculum analytics, mental health and wellbeing and the evaluation of institutional learning analytics projects.Join us to hear the projects present their interesting findings.
It never bodes well to dive into the unknown without preparation. To define, design and enable learning analytics, it’s essential to have a clear strategy in place. Prep yourself with these evaluation questions before you dive into learning analytics.
Game Learning Analytics (GLA) is the process of applying Learning Analytics techniques to Serious Games in order to get insight about how the game is being used and improve the educational experience.
For about 10 years, from 2005 – 2015, much of the discussion about tracking eLearning revolved around the Shareable Content Object Reference Model (SCORM) and learning management systems (LMS).
As Massive Open Online Courses (MOOCs) generate a huge amount of learning activity data through its thousands of users, great potential is provided to use this data to understand and optimize the learning experience and outcome.
I'll start this article by making one simple statement: Feedback loops work. Why? That’s the way we human beings learn, as feedback provides us with a sense of where we stand and an evaluation of our progress.
An interesting question arose at a recent xAPI Camp hosted by The eLearning Guild: “What happened to objectives in xAPI?” We should be able to use xAPI to document successful completion of eLearning, but without statements of learning objectives in the content, this is not possible.
Now that the “the only constant is change” in society, our capacity to engage with novel challenges is of first order importance. What are the personal dispositions that authentic learning needs to cultivate, and can we make these assessable and visible to learners and educators?
Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But, the ultimate goal of a recommender system is to increase user satisfaction.
Selten war ein Gesetz so dysfunktional wie das Leistungsschutzrecht für Presseverleger. Die Bundesregierung weigert sich, das einzugestehen - weil sie es in der ganzen EU einführen will.
Most institutions say they value teaching. But how they assess it tells a different story. University of Southern California has stopped using student evaluations of teaching in promotion decisions in favor of peer-review model. Oregon seeks to end quantitative evaluations of teaching for holistic model.
Presentation used by Tinne De Laet, KU Leuven, for a keynote presentation during an event: organised by Leiden University, Erasmus University Rotterdam, and Delft University of Technology.
The presentations presents the results of two case studies from the Erasmus+ project ABLE and STELA, and provides 9 recommendations regarding learning analytics
Wondering why Interpreting Learning Analytics is vital to eLearning? Check why Interpreting Learning Analytics is vital when you design or refine eLearning.
The e-Design Assessment Tool (eDAT) is a tool to help tutors represent and evaluate effective blended or distance learning designs. The eDAT combines a simple analysis of the learning activities with reflections on the teaching and learning perspective that underpins the design.
This pilot project collects problems and metrics/datasets from the AI research literature, and tracks progress on them. You can use this notebook to see how things are progressing in specific subfields or AI/ML as a whole, as a place to report new results you've obtained, as a place to look for problems that might benefit from having new datasets/metrics designed for them, or as a source to build on for data science projects. At EFF, we're ultimately most interested in how this data can influence our understanding of the likely implications of AI. To begin with, we're focused on gathering it.
This presentation explores shortcomings of learning analytics for the wide adoption in educational organisations. It is NOT about ethics and privacy rather than focuses on shortcomings of learning analytics for teachers and students in the classroom (micro-level).
Not all learning analytics are the same. Discover how proactive learning analytics help you influence and improve ongoing learning processes by predicting the future and creating recommendations for action. Identify the 4 key elements that will determine the success of your analytics journey.
I’m included this link as the idea of player and team assessment in professional sports has begun to change. I just find this a fascinating topic in how our society is seeing a shift in how we evaluate in general including in the realm of professional sports. In the past player evaluation was done by experts who would watch and make a decision – the process is very subjective. Analytics provide ways to quantify in numbers what we see happen on the ice or field. The same goes for teams. While at the end of the day the score is what matters, analysts have found metrics to identify keys to long term success for teams as well.
Dr. Marzano, a nationally known educational researcher and developer of the Marzano Teacher Evaluation Model and the Marzano School Leadership Evaluation Model, discusses how districts may use teacher evaluation models as primarily either measurement systems –which provide a static picture of a teacher’s performance at a given point; or as growth systems—which track improvements in teacher pedagogy over time. - See more at: http://www.marzanoevaluation.com/news/teacher-evaluation-whats-fair-whats-effective/#sthash.KaHjK1uL.dpuf
This blog is the shared thoughts of school administrators that want to share best practices in education. All of the authors have different experiences in education but all have the same goal; what is best for students
In their widely read article “Inside the Black Box,” Mr. Black
and Mr. Wiliam demonstrated that improving formative assessment
raises student achievement. Now they and their colleagues report on
a follow-up project that has helped teachers change their practice
and students change their behavior so that everyone shares
responsibility for the students’ learning.
The information in this website helps school leaders and teachers in gathering, analysing, interpreting, and using information about students' progress and achievement. The emphasis is on the formative use of assessment to improve students’ learning and teachers’ teaching as both respond to the information it provides.
J. Choi, A. Khlif, and E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)
J. Choi, A. Khlif, and E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)