The field learning analytics is established with the promise for the education sector to embrace the use of data for decision making. There are many examples of successful use of learning analytics to enhance student experience, increase learning outcomes, and optimize learning environments.
Fuzzy Loss functions for GANs, Learning Analytics, Next Generation AI and Sustainability, Deep Learning for Melodic Frameworks
Speakers:
Prof. Priti S. Sajja, Sardar Patel University, India
Prof. Elvira Popescu, University of Craiova, Romania
Dr. Celestine Iwendi, University of Bolton, UK
Dr. Vishnu S. Pendyala, San Jose State University, USA
Date: Tuesday, July 12, 2022
Learning Analytics in the Classroom presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different education domains.
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).
Probabilistic soft logic (PSL) is a machine learning framework for developing probabilistic models. PSL models are easy and fast, you can define them using a straightforward logical syntax and solve them with fast convex optimization.
Last month, students and faculty took part in a key phase of eCampusOntario’s ongoing learning analytics initiative: a sprint designed to gather student insight and understand student learning experiences.
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.
Commentary on Students’ sense-making of personalised feedback based on learning analytics by Stephen Downes. Online learning, e-learning, new media, connectivism, MOOCs, personal learning environments, new literacy, and more
The 1st Workshop on Philosophy of Learning Analytics (POLA) at the 11th International Conference on Learning Analytics and Knowledge (LAK21). Online April 12/13, 2021
fter a fruitful collaboration between the different partners, the Erasmus+ project “Supporting Higher Education to Incorporate Learning Analytics” (SHEILA) concluded in September 2018. The project aimed to build a policy development framework that supports systematic, sustainable, and responsible adoption of learning analytics (LA) at institutional level.
The SHEILA project team ran a workshop on “Developing an evidence-based institutional learning analytics policy” at the 13th European Conference on Technology Enhanced Learning on 3 September at the University of Leeds.
V. Murphy, A. Littlejohn, und B. Rienties. Mixed methods social network analysis: Theories and methodologies in learning and education, Routledge, London, United Kingdom, (2020)