Results 41 to 50 of about 8,740,437 (317)
Learning analytics to identify exploratory dialogue within synchronous text chat [PDF]
, 2011 While generic web analytics tend to focus on easily harvested quantitative data, Learning Analytics will often seek qualitative understanding of the context and meaning of this information.
Buckingham Shum, Simon +1 more
core +2 more sources
Scalability, Sustainability, and Ethicality of Multimodal Learning Analytics
International Conference on Learning Analytics and Knowledge, 2022 Multimodal Learning Analytics (MMLA) innovations are commonly aimed at supporting learners in physical learning spaces through state-of-the-art sensing technologies and analysis techniques.
Lixiang Yan +3 more
semanticscholar +1 more source
Learning and Work: Professional Learning Analytics [PDF]
, 2017 Learning for work takes various forms, from formal training to informal learning through work activities. In many work settings, professionals collaborate via networked environments leaving various forms of digital traces and “clickstream” data.
Littlejohn, Allison
core +3 more sources
xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning
Sensors, 2022 With tracking systems becoming more widespread in sports research and regular training and competitions, more data are available for sports analytics and performance prediction. We analyzed 2523 ski jumps from 205 athletes on five venues. For every jump,
Johannes Link +4 more
doaj +1 more source
Open University Learning Analytics dataset [PDF]
, 2017 Learning Analytics focuses on the collection and analysis of learners’ data to improve their learning experience by providing informed guidance and to optimise learning materials.
F Prasser +5 more
core +1 more source
Frontiers in Bioengineering and Biotechnology, 2020 Machine learning is a promising approach to evaluate human movement based on wearable sensor data. A representative dataset for training data-driven models is crucial to ensure that the model generalizes well to unseen data.
Eva Dorschky +5 more
doaj +1 more source
The Complexities of Developing a Personal Code of Ethics for Learning Analytics Practitioners: Implications for Institutions and the Field [PDF]
, 2018 In this paper we explore the potential role, value and utility of a personal code of ethics (COE) for learning analytics practitioners, and in particular we consider whether such a COE might usefully mediate individual actions and choices in relation to ...
Lang, Charles +4 more
core +1 more source
Content expectations and dropout in Dutch vocational education
Empirical Research in Vocational Education and Training, 2020 Unrealistic expectations with regard to one’s study program has been linked to negative consequences for future academic success. Previous studies that have shown this are often retrospective, however, and focus on performance-related expectations (e.g ...
Irene Eegdeman +2 more
doaj +1 more source
Informatics in Education, 2022 Prior programming knowledge of students has a major impact on introductory programming courses. Those with prior experience often seem to breeze through the course.
Erno Lokkila +2 more
doaj +1 more source
Mixing and Matching Learning Design and Learning Analytics [PDF]
, 2017 In the last five years, learning analytics has proved its potential in predicting academic performance based on trace data of learning activities. However, the role of pedagogical context in learning analytics has not been fully understood.
G Conole +4 more
core +1 more source