Deep Learning and Technology-Assisted Education
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 15855
Special Issue Editors
Interests: design and development of intelligent systems for personalization of internet and mobile applications; automatic content recommendation, especially with natural language processing techniques and other machine learning approaches involving neural networks
Special Issues, Collections and Topics in MDPI journals
Interests: semantic reasoning in personalization applications; machine learning techniques; deep learning models for natural language processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the ever-evolving field of education, fostering innovative approaches to enrich students’ learning experiences stands as a pivotal imperative. Throughout history, numerous initiatives have emerged in tandem with technological progress, catalyzing a profound metamorphosis in our educational paradigm. The adoption of computers, in particular, has paved the way for the evolution of diverse pedagogical models including flipped learning, self-regulated learning, and fully online education, all of which have cemented their significance, especially during and after the COVID-19 pandemic.
The surge in machine learning (ML) technologies and the enthusiastic adoption of various neural network models in deep learning (DL), including recurrent, convolutional, LSTM networks, and the groundbreaking transformer architectures, which possess the remarkable ability to generate human-level text, present challenging prospects in the field of education. These technologies hold the potential to boost the development and implementation of personalized, adaptable, and highly efficient educational experiences, finely tuned to address individual students' unique needs and levels of knowledge.
Given this technological backdrop, this Special Issue aims to explore the appealing intersection of technology-assisted education and deep learning with the overarching goal of advancing toward more captivating and effective learning experiences that invigorate students’ motivation and improve their academic performance. In this context, we invite prospective authors to submit articles covering, but not limited to, the following thematic areas related to technology-assisted education, where deep learning can serve as a valuable opportunity:
- Personalized learning
- Inclusive education through technology
- Natural language processing for adaptive learning environments
- Development of intelligent tutoring systems
- Deep reinforcement learning as an educational tool
- Detection of student participation and engagement in flipped learning
- Promotion of critical thinking skills
- Advances in lifelong learning
Prof. Dr. Alberto Gil Solla
Prof. Dr. Yolanda Blanco Fernández
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intelligent learning environments
- deep learning in personalized educational settings
- creation of ad hoc learning resources
- deep learning driven education
- learning analytics
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