Results 31 to 40 of about 99,515 (314)

Learned optimizers for analytic continuation [PDF]

Physical Review B, 2022
11 pages, 7 figures, 6 ...
Dongchen Huang, Yi-feng Yang
openaire   +2 more sources

Broadening the Scope and Increasing the Usefulness of Learning Analytics: The Case for Assessment Analytics [PDF]

, 2013
This paper argues that the role that assessment could play within a learning analytics strategy is both significant and, as yet, underdeveloped and underexplored.
Ellis, Cath
core   +1 more source

Dialogue as Data in Learning Analytics for Productive Educational Dialogue [PDF]

, 2015
This paper provides a novel, conceptually driven stance on the state of the contemporary analytic challenges faced in the treatment of dialogue as a form of data across on- and offline sites of learning.
Knight, Simon, Littleton, Karen, Littleton, K, Knight, S   +3 more
core   +1 more source

Impact of learning analytics feedback on self-regulated learning: Triangulating behavioural logs with students’ recall

, 2021
Learning analytics (LA) has been presented as a viable solution for scaling timely and personalised feedback to support students' self-regulated learning (SRL). Research is emerging that shows some positive associations between personalised feedback with
Ahmad Uzir, N., Shane Dawson, Wannisa Matcha, Gasevic, D., Dawson, S., Gasevic, D, Uzir, NA, Dawson, S, Matcha, W, Nora'Ayu Ahmad Uzir, Lim, L.A., Lisa-Angelique Lim, Dragan Gasevic, Matcha, W., Lim, L-A   +14 more
core   +1 more source

CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data

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, Marlies Nitschke, Christine F. Martindale, Antonie J. van den Bogert, Anne D. Koelewijn, Bjoern M. Eskofier   +5 more
doaj   +1 more source

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, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz, Bjoern M. Eskofier   +4 more
doaj   +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, Chris van Klaveren, Martijn Meeter   +2 more
doaj   +1 more source

Learning Analytics for Networked Learning Models [PDF]

Journal of Learning Analytics, 2014
Teaching and learning in networked setting has attained a significant amount of attention recently. The central topic of networked learning research is human-human and human-information interactions that occur within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach in
Srecko Joksimovic, Dragan Gasevic, Marek Hatala   +2 more
openaire   +2 more sources

Asking generative artificial intelligence the right questions improves writing performance

Computers and Education: Artificial Intelligence
Generative Artificial Intelligence (GenAI) tools are widely used by learners and this trend is poised to continue. However, little is known about whether and how GenAI use impacts learning and performance.
Yixin Cheng, Yizhou Fan, Xinyu Li, Guanliang Chen, Dragan Gašević, Zachari Swiecki   +5 more
doaj   +1 more source

Automatically detecting previous programming knowledge from novice programmer code compilation history

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, Athanasios Christopoulos, Mikko-Jussi Laakso   +2 more
doaj   +1 more source