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A review of AWE feedback: types, learning outcomes, and implications

Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) plays an important role in writing pedagogy and has received considerable research attention recently; however, few reviews have been conducted to systematically analyze the recent publications arising from the many ...
Qing-Ke Fu   +3 more
semanticscholar   +1 more source

Effects of mobile learning technologies and social media tools on student engagement and learning outcomes of English learning

Technology, Pedagogy and Education, 2022
Mobile learning technologies and social media tools have not been studied to an exhaustive extent in terms of student engagement and learning outcomes.
Zhonggen Yu   +4 more
semanticscholar   +1 more source

A meta‐analysis and systematic review of the effect of virtual reality technology on users' learning outcomes

Computer Applications in Engineering Education, 2022
With the rapid development of science and technology, virtual reality (VR) technologies have obtained great popularity in education, coupled with many studies on the effect of VR technologies on learning outcomes. However, few studies have systematically
Zhonggen Yu, Wei Xu
semanticscholar   +1 more source

The Effect of Educational Games on Learning Outcomes, Student Motivation, Engagement and Satisfaction

Journal of educational computing research, 2020
While educational games have been increasingly popular in education, insufficient studies have comprehensively reviewed their effectiveness. To complement this missing link, this study explored game-based learning outcomes including academic achievements,
Zhonggen Yu, Min Gao, Li-Fei Wang
semanticscholar   +1 more source

Identify learning outcomes for learning agreements

Education for Primary Care, 2012
(2012). Identify learning outcomes for learning agreements. Education for Primary Care: Vol. 23, No. 2, pp. 128-130.
openaire   +2 more sources

Deep Learning of Potential Outcomes.

CoRR, 2021
This review systematizes the emerging literature for causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on how deep learning can be used to estimate/predict heterogeneous treatment effects and extend causal inference to settings where confounding is non-linear, time varying, or ...
JIANG, SONG   +5 more
openaire   +3 more sources

Machine Learning and Pain Outcomes

Neurosurgery Clinics of North America, 2022
Machine learning (ML) is an increasingly popular method of data analysis that has meaningful application within the realm of pain management. Current research has used this technique as a tool to refine patient selection for more invasive pain management treatments in an effort to improve outcomes.
Tessa, Harland   +2 more
openaire   +2 more sources

Evaluation of Learning Outcomes

2010
A lot of research has been done with respect to automated evaluation of students’ knowledge. Learning outcomes have been of serious interest to many research communities as well. In this article we apply dominance relations in rough sets approximations for assessing knowledge obtained in active learning environments.
openaire   +1 more source

Learning Outcomes

2022
Rebecca Strauss   +2 more
  +5 more sources

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