AI-Driven Educational Technologies: Integrating Cognitive Computing and Big Data for Learning Analytics
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289). This special issue belongs to the section "Cognitive System".
Deadline for manuscript submissions: 31 August 2027 | Viewed by 180
Editors
Interests: learning analytics; educational LLMs; intelligent tutoring systems
Special Issues, Collections and Topics in MDPI journals
Interests: AI education; LLMs; computer vision; digital image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of artificial intelligence, big data, and cognitive computing is fundamentally reshaping contemporary educational paradigms. While these technologies offer unprecedented capabilities to model learner behavior and personalize instruction, effectively integrating large-scale, multimodal educational data with cognitive computing frameworks remains a critical challenge for researchers and practitioners.
This Special Issue aims to explore the intersection of cognitive computing and big data within educational contexts. We seek rigorous empirical studies, methodological innovations, and systematic reviews that demonstrate how data-driven models can optimize learning analytics and pedagogical outcomes. The issue aligns closely with the core scope of BDCC by emphasizing the computational and cognitive aspects of processing complex educational data to enhance human learning.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
Learning analytics and educational data mining
Design, deployment, and evaluation of Educational Large Language Models (LLMs)
Intelligent tutoring systems and adaptive learning environments
Cognitive computing approaches for assessing higher-order thinking skills
Multimodal data integration and processing in educational technologies
We look forward to receiving your contributions.
Prof. Dr. Zhi Liu
Dr. Bingshu Wang
Dr. Kaili Lu
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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
- artificial intelligence in education (AIEd)
- cognitive computing
- educational big data
- learning analytics
- educational large language models (LLMs)
- intelligent tutoring systems
- adaptive learning
- higher-order thinking skills
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