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Interaction Recognition and Intervention Based on Context Feature Fusion of Learning Behaviors in Interactive Learning Environments
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Xia, Xiaona – Interactive Learning Environments, 2023
Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…
Descriptors: Interaction, Intervention, Student Behavior, Educational Environment
Learning Analytics in Distance Education: A Systematic Review Study
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Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Investigating Teachers' Explanations for Aggressive Classroom Discipline Strategies in China and Australia
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Riley, Philip; Lewis, Ramon; Wang, Bingxin – Educational Psychology, 2012
Student misbehaviour can provoke aggressive teacher management (e.g. yelling in anger), adversely effecting students' learning and attitudes toward school. To investigate this phenomenon, data were obtained from 75 Chinese (typically Eastern) and 192 Victorian (typically Western) secondary teachers who self-reported aggressive management. Results:…
Descriptors: Discipline, Aggression, Foreign Countries, Classroom Techniques
Cope and Grow: A Grounded Theory Approach to Early College Entrants' Lived Experiences and Changes in a STEM Program
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Dai, David Yun; Steenbergen-Hu, Saiying; Zhou, Yehan – Gifted Child Quarterly, 2015
In this grounded theory qualitative study, we interviewed 34 graduates from one cohort of 51 students from a prestigious early college entrance program in China. Based on the interview data, we identified distinct convergent and divergent patterns of lived experiences and changes. We found several dominant themes, including peers' mutual…
Descriptors: Grounded Theory, Qualitative Research, College Graduates, Student Experience
Proceedings of the International Conference on Educational Data Mining (EDM) (10th, Wuhan, China, June 25-28, 2017)
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Behavior Analysis in Distance Education by Boosting Algorithms
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Zang, Wei; Lin, Fuzong – International Journal of Distance Education Technologies, 2006
Student behavior analysis is an active research topic in distance education in recent years. In this article, we propose a new method called Boosting to investigate students' behaviors. The Boosting Algorithm can be treated as a data mining method, trying to infer from a large amount of training data the essential factors and their relations that…
Descriptors: Student Behavior, Distance Education, Data Collection, Data Analysis