Call for Papers – C3: ALT
ICCE 2024 Sub-Conference on Advanced Learning Technologies, Learning Analytics, Platforms and Infrastructure
This sub-conference will be dedicated to exploring the frontiers of educational technology and its infrastructure. It aims to foster dialogue on the development of standards for system, resource, and data interoperability, and to inspire the creation of innovative learning technologies.
The sub-conference will focus on advanced learning technologies that are reshaping the educational landscape through personalized learning experiences, adaptive content delivery and Generative AIs. Automated assessment will also be a key focus, along with Human-Computer Interaction and collaborative learning that enable more intuitive learning experiences. It will also extend to Analytics in Teaching & Learning, examining how data-driven insights can optimize learning outcomes and enhance pedagogical strategies. Alongside these, it will delve into ethics and transparency in learning analytics, ensuring that these technologies are leveraged in a way that promotes ethical practices and literacy. The sub-conference will also highlight the pivotal role of Platforms & Infrastructure in supporting these technological advances. Central to this discussion will be the impact of learning platforms, which serve as dynamic learning process that facilitates diverse types of interaction and feedback mechanisms to be more accessible, engaging, and tailored to individual learners. Examples of emerging platforms that will be discussed include cloud technology, ubiquitous learning, and virtual labs. Join us as we chart the course for the next generation of learning technologies and analytics, paving the way for a more informed, connected, and educated world. The scope of the conference will cover but not be limited to the following topics, grouped as follows:
Advanced Learning Technologies
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Adaptive learning systems
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Affective computing for learning
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Immersive learning environments
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Generative Ais in education
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Automated evaluation
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Collaborative learning
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Human Computer Interaction
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Interactive multimedia
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Intelligent questioning systems
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Educational recommender systems
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Semantic Web in education
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Smart educational environments
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The Internet of Things in education
Analytics in Teaching & Learning
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Data Literacy and Learning Analytics
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Game-based Learning Analytics
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Innovative learning analytics systems
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Analytics algorithm advancements
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Expansive data collection
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Pedagogical models and analytics
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Predictive models, analysis, and visualization
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Ethical frameworks in learning analytics
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Bias, Equity, Fairness, and Transparency in Learning Analytics
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Multimodal learning analytics
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Social network analysis
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Sequential data mining
Platforms & Infrastructure
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Cloud-enhanced education
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Credentialing evolution
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Strategic implementation of advanced learning technologies
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Learning system architectural foundations
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Learning design interfaces
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Classroom orchestration tools
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Life cycle management of technical learning objects
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Ubiquitous learning technologies
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Intuitive Web interfaces
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Open educational ecosystems
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Virtual Laboratories
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Performance Support Tools (PSTs)
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Repository technologies
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Technology standards
Program Committee
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PC Executive Chair
Shinobu HASEGAWA, JAIST, Japan
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PC Co-chairs
Seb DIANATI, Charles Darwin University, Australia
Ashwin T S, Vanderbilt University, USA
Mohamed Elsayed AHMED, South Valley University, Egypt
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SIG Chair
Ismar SILVEIRA, Universidade Presbiteriana Mackenzie, Brasil