Results 11 to 20 of about 71,766 (218)

Recurrent individual treatment assignment: a treatment policy approach to account for heterogeneous treatment effects

npj Science of Learning, 2022
Longitudinal randomized controlled trials generally assign individuals randomly to interventions at baseline and then evaluate how differential average treatment effects evolve over time.
Ilja Cornelisz, Chris van Klaveren
doaj   +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

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

Human-centred learning analytics and AI in education: A systematic literature review

Computers and Education: Artificial Intelligence
The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but raises concerns about data privacy and agency.
Riordan Alfredo, Vanessa Echeverria, Yueqiao Jin, Lixiang Yan, Zachari Swiecki, Dragan Gašević, Roberto Martinez-Maldonado   +6 more
doaj   +1 more source

Co-designing AI-powered learning analytics: bringing students and teachers together

International Journal of Educational Technology in Higher Education
There is a growing interest in involving students and teachers in the design of human-centered Learning Analytics (LA) systems to align them with authentic learning needs.
Riordan Alfredo, Mikaela Milesi, Vanessa Echeverria, Dragan Gašević, Simon Buckingham Shum, Linxuan Zhao, Lixiang Yan, Yueqiao Jin, Jie Xiang Fan, Viktoria Pammer-Schindler, Zachari Swiecki, Roberto Martinez-Maldonado   +11 more
doaj   +1 more source

“We Cannot Talk as a Family”: Complexities of Survivorship Communication Among Hispanic/Latino Young Adult Survivors of Childhood Cancer, Parents, and Clinicians

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu, Nicole Fernández‐Viña, Briana C. Martin‐Villa, Daniela Ramirez, Rebecca M. Lewinsohn, Mary Smith, Heidi Boynton, Lidia Schapira, Stephanie M. Smith   +8 more
wiley   +1 more source

Cognitive skills, personality traits and dropout in Dutch vocational education

Empirical Research in Vocational Education and Training, 2018
Designing effective educational programs to reduce dropout in higher and vocational education requires thorough understanding of the underlying mechanisms of study success.
Irene Eegdeman, Martijn Meeter, Chris Van Klaveren   +2 more
doaj   +1 more source