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.
ROUGE 2.0 is a Java Package for Evaluation of Summarization Tasks building on the Perl Implementation of ROUGE with some updated and improved measures.
The National Library of Virtual Manipulatives is a library of uniquely interactive, web-based virtual manipulatives or concept tutorials, mostly in the form of Java applets, for mathematics instruction (K-12 emphasis). The project includes dissemination and extensive internal and external evaluation.
J. Choi, A. Khlif, und E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), Seite 23--27. Online, Association for Computational Linguistics, (2020)
J. Choi, A. Khlif, und E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), Seite 23--27. Online, Association for Computational Linguistics, (2020)