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The Effects of Socially Shared Regulation of Learning on the Computational Thinking, Motivation, and Engagement in Collaborative Learning by Teaching
Collaborative learning by teaching (CLBT) is a pedagogical approach that combines collaborative learning and learning by teaching pedagogy, which can...
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The impacts of the comprehensive learning analytics approach on learning performance in online collaborative learning
Online collaborative learning has been an effective pedagogy in the field of education. However, productive collaborative learning cannot occur...
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Using attention-based neural networks for predicting student learning outcomes in service-learning
As a high-impact educational practice, service-learning has demonstrated success in positively influencing students’ overall development, and much...
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CNN-Transformer: A deep learning method for automatically identifying learning engagement
Learning engagement is an essential indication to define students' learning pacification in the class, and its automated identification technique is...
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Transfer-learning-based representation learning for trajectory similarity search
Trajectory similarity search is one of the most fundamental tasks in spatial-temporal data analysis. Classical methods are based on predefined...
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Static video summarization based on genetic algorithm and deep learning approach
The development of information technology has led to the rise of big data. A large portion of this big data comes in the form of video information....
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Automatic software code repair using deep learning techniques
In the multi-hundred-billion-dollar industry of software development, the debugging process is an expensive task for developers. So, much effort has...
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Crowdfunding project evaluation based on Fermatean fuzzy SAHARA three-way decision method
Crowdfunding is a web-based financing scheme which aims to generate initial capital for startups. Nowadays, there are numerous programs which face...
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Toyota Kata Patterns to Help Teach Process Design: Applying a Project-Based Learning Model
Introducing the concept of Process Design in the higher education system is essential to help shape future professionals face real problems through a...
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Intelligent personalised learning system based on emotions in e-learning
One of the greatest challenges in the success of a personalised e-learning system lies in the behaviour identification of the learners during the...
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Four-Step: The Whole-Process of Project Practice Teaching and Its Effectiveness Evaluation Based on Apriori
In order to solve the problem of lack of innovation and practice ability of students in the field of software engineering talent training in China,...
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Identifying learning styles in MOOCs environment through machine learning predictive modeling
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid...
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Rubric-based formative assessment to support students’ learning of organic chemistry in the selected secondary schools in Rwanda: A technology-based learning
A significant number of instructors, researchers and students have claimed that chemistry is a challenging subject to teach and learn at all...
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Improving transfer learning for software cross-project defect prediction
Software cross-project defect prediction (CPDP) makes use of cross-project (CP) data to overcome the lack of data necessary to train well-performing...
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Design and Research of STEAM Education Project on Online Learning Space
This study uses literature research to sort out the research status of STEAM education and online learning space, and summarizes and forms the...
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Seeing is Learning in High Dimensions: The Synergy Between Dimensionality Reduction and Machine Learning
High-dimensional data are a key study object for both machine learning (ML) and information visualization. On the visualization side, dimensionality...
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Generalisable sensor-free frustration detection in online learning environments using machine learning
Learning can generally be categorised into three domains, which include cognitive (thinking), affective (emotions or feeling) and psychomotor...
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A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble learning (EL) are four outstanding approaches that enable...
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Styler: learning formatting conventions to repair Checkstyle violations
Ensuring the consistent usage of formatting conventions is an important aspect of modern software quality assurance. To do so, the source code of a...
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Supervised contrastive learning with corrected labels for noisy label learning
Deep neural networks have achieved significant success in the artificial intelligence community and various downstream tasks. They encode images or...
