While the preliminary nature of the investigation limits the generalizability of the results, the findings suggest that the use of planned incomplete data collection in educational research has potential, and several design factors are nominated as worthy of further investigation.doi:10.1080/...
Minnaar, L. and Heystek, J. 2013. Online surveys as data collection instruments in education research: a feasible option? South African Journal of Higher Education, 27(1): pp.162-183.Minnaar, L., & Heystek, J. (2013). Online surveys as data collection instruments in education researc...
Chapter 6 Data Collection and Analysis in Learning Technology and CCI Research Abstract Conducting experimental studies in learning technology and CCI research entails an iterative process of observation, rationalization, and validation. Although data collection and data analysis procedures may ...
Crystal Lewis introduces robust methods for the collection and management of data within the broader research context. Readers will acquire knowledge and confidence in leading large-scale studies, as well as skills and strategies they can implement in their work immediately. This book should be on ...
Oxford e-Research Centre, UK Charles Wang Loma Linda University Center for Genomics, USA We would also like to acknowledge the members of the journal's original Advisory Panel, who were instrumental in the launch and initial development of Scientific Data: Judith A. Blake, Chris Bowler, Piero ...
Data collection as the first step in the decision-making process, driven by machine learning In machine learning projects, data collection precedes such stages as data cleaning and preprocessing, model training and testing, and making decisions based on a model’s output. Note that in many cases...
2025. The exact location is still to be decided. With keynotes from leading scientists and industry pioneers, this conference provides deep technical insights and is a must-attend for researchers and professionals in the field. Attendees will have the chance to explore groundbreakingresearch and metho...
Training consists of a set of libraries for dealing with datasets (tf.data), a set of libraries for building models, including high-level libraries (tf.Keras and Estimators), low-level libraries (tf.*), and a collection of pretrained models (tf.Hub). Training can happen on CPUs, GPUs, ...
Data collection and consent Data science relies on gathering and processing large volumes of data, which raises concerns about how much personal information is being collected. In educational settings, the data collected can include not only academic performance but also personal details such as demogra...
Data collection was conducted in the 2014–2015 academic year. Drawing from this larger data set, research presented here investigated key aspects of qualitative data value and data use, using an instrumental, collective case study approach to provide in-depth insight into teachers’ data use in ...