TY - GEN
T1 - Development of an Artificial Intelligence-Based Smart Education Framework
AU - Sengupta, Sarthak
AU - Vaish, Anurika
AU - Bose, Anindya
AU - Fonseca, David
AU - Garcia-Penalvo, Francisco Jose
AU - Moreira, Fernando
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025/5/25
Y1 - 2025/5/25
N2 - Smart education has become essential for efficient learning and effective teaching in higher education institutions. The study attempted to develop a modular framework for an artificial intelligence-based smart educational system. Relevant research studies were reviewed accordingly. Analytical Hierarchy Process (AHP) was also done. Relevant studies recommended that educational data mining and machine learning algorithms would help in generating an optimized dossier of content for enhanced learning and effective teaching. Therefore, the proposed Artificial Intelligence-based smart education system encompasses various subsystems such as the modular framework for the blended system, smart pedagogy, decision support systems, social networking platforms, crowdfunding/ crowdsourcing, computers/ television/ radio transmission, and easy access to internet services for efficient percolation of education and satisfaction of the stakeholders. This study can pave the foundation for the effective implementation of Artificial Intelligence into efficient educational systems.
AB - Smart education has become essential for efficient learning and effective teaching in higher education institutions. The study attempted to develop a modular framework for an artificial intelligence-based smart educational system. Relevant research studies were reviewed accordingly. Analytical Hierarchy Process (AHP) was also done. Relevant studies recommended that educational data mining and machine learning algorithms would help in generating an optimized dossier of content for enhanced learning and effective teaching. Therefore, the proposed Artificial Intelligence-based smart education system encompasses various subsystems such as the modular framework for the blended system, smart pedagogy, decision support systems, social networking platforms, crowdfunding/ crowdsourcing, computers/ television/ radio transmission, and easy access to internet services for efficient percolation of education and satisfaction of the stakeholders. This study can pave the foundation for the effective implementation of Artificial Intelligence into efficient educational systems.
KW - Analytical Hierarchy Process
KW - Artificial Intelligence
KW - Blended e-learning
KW - learning management systems
KW - Modular framework
UR - https://www.scopus.com/pages/publications/105008178439
U2 - 10.1007/978-3-031-93567-1_26
DO - 10.1007/978-3-031-93567-1_26
M3 - Conference contribution
AN - SCOPUS:105008178439
SN - 9783031935664
VL - 15807
T3 - Lecture Notes in Computer Science
SP - 380
EP - 391
BT - Learning and Collaboration Technologies - 12th International Conference, LCT 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings
A2 - Smith, Brian K.
A2 - Borge, Marcela
PB - Springer Nature Switzerland
T2 - 12th International Conference on Learning and Collaboration Technologies, LCT 2025, held as part of the 27th HCI International Conference, HCII 2025
Y2 - 22 June 2025 through 27 June 2025
ER -