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Technology is influencing education, providing new delivery and assessment models. A combination between online and traditional course, the hybrid (blended) course, may present a solution with many benefits as it provides a gradual…

Human-Computer Interaction · Computer Science 2018-11-20 Felix G. Hamza-Lup , Stephen White

ICT or Information and Communication Technology has pervaded the fields of education.In recent years the term e-learning has emerged as a result of the integration of ICT in the education fields. Following the application this technology…

Computers and Society · Computer Science 2013-06-19 Maryam Tayebinik , Marlia Puteh

Blended learning has become a dominant educational model in higher education in the UK and worldwide, particularly after the COVID-19 pandemic. This is further enriched with accompanying pedagogical changes, such as strengthened…

Computers and Society · Computer Science 2025-11-18 Muhidin Mohamed , Shubhadeep Mukherjee , Bhavana Baad

Blended learning (BL) is a recent tread among many options that can best fit learners' needs, regardless of time and place. This study aimed to discover students' perceptions of BL and the challenges faced by them while using technology.…

Human-Computer Interaction · Computer Science 2022-04-19 Saira Soomro , Arjumand Bano Soomro , Tarique Bhatti , Yonis Gulzar

The flipped classroom model has been widely acknowledged as a practical pedagogical approach to enhancing student engagement and learning. However, it faces challenges such as improving student interaction with learning content and peers,…

Physics Education · Physics 2024-09-20 Mehrasa Alizadeh

The increasing integration of AI tools in education has led prior research to explore their impact on learning processes. Nevertheless, most existing studies focus on higher education and conventional instructional contexts, leaving open…

Human-Computer Interaction · Computer Science 2025-12-25 Gaia Ebli , Bianca Raimondi , Maurizio Gabbrielli

Blended learning methods constructively fuses more than one delivery mode. It makes use of technology to meet the exigency of the times. Covid-19 pandemic has also strengthened the need for teaching and learning to be in modes other than…

Physics Education · Physics 2023-09-26 Samiru Alhassan

The rapid growth of immersive technologies in educational areas has increased research interest in analyzing the specific behavioral patterns of learners in immersive learning environments. Considering the fact that research on the…

Human-Computer Interaction · Computer Science 2024-05-07 Yu Liu , Kang Yue , Yue Liu

The article presents the authors' organizational model of blended learning on the basis of existing models of learning at higher educational establishments. The model provides for using the learning management system and reflects current…

Computers and Society · Computer Science 2018-08-16 Andrii M. Striuk , Serhiy O. Semerikov

In the rapidly evolving educational landscape, the integration of technology has shifted from an enhancement to a cornerstone of educational strategy worldwide. This transition is propelled by advancements in digital technology, especially…

Computers and Society · Computer Science 2025-10-15 Ananth Hariharan

The study examines the problem of using augmented and virtual reality in the process of blended learning in general secondary education. The study analyzes the meaning of the concept of "blended learning". The conceptual principles of…

Computers and Society · Computer Science 2022-01-19 Valentyna Kovalenko , Maiia Marienko , Alisa Sukhikh

In recent times, online education and the usage of video-conferencing platforms have experienced massive growth. Due to the limited scope of a virtual classroom, it may become difficult for instructors to analyze learners' attention and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Sharva Gogawale , Madhura Deshpande , Parteek Kumar , Irad Ben-Gal

Over the past decade, deep neural networks have demonstrated significant success using the training scheme that involves mini-batch stochastic gradient descent on extensive datasets. Expanding upon this accomplishment, there has been a…

Machine Learning · Computer Science 2024-11-11 Jaehyeon Son , Soochan Lee , Gunhee Kim

Contribution: This secondary study examines the literature on immersive learning frameworks and reviews their state of the art. Frameworks have been categorized according to their purpose. In addition, the elements that compose them were…

Computers and Society · Computer Science 2022-08-31 Filipe Arantes Fernandes , Claudia Susie Camargo Rodrigues , Eldânae Nogueira Teixeira , Cláudia Werner

The COVID-19 global pandemic and resulted lockdown policies have forced education in nearly every country to switch from a traditional co-located paradigm to a pure online 'distance learning from home' paradigm. Lying in the center of this…

Computers and Society · Computer Science 2021-01-26 Zhilong Chen , Hancheng Cao , Yuting Deng , Xuan Gao , Jinghua Piao , Fengli Xu , Yu Zhang , Yong Li

The domain of online learning has experienced multifaceted expansion owing to its prevalence in real-life applications. Nonetheless, this progression operates under the assumption that the input feature space of the streaming data remains…

Machine Learning · Computer Science 2024-04-09 Rohit Agarwal , Arijit Das , Alexander Horsch , Krishna Agarwal , Dilip K. Prasad

Existing learning analytics approaches, which often model learning processes as sequences of learner actions or homogeneous relationships, are limited in capturing the distributed, multi-faceted nature of interactions in contemporary…

Social and Information Networks · Computer Science 2026-04-23 Shihui Feng , Baiyue He , Dragan Gasevic , Alec Kirkley

Attention is a key factor for successful learning, with research indicating strong associations between (in)attention and learning outcomes. This dissertation advanced the field by focusing on the automated detection of attention-related…

Human-Computer Interaction · Computer Science 2024-07-09 Babette Bühler

Combining online classes with the traditional classes foster the advantages of both learning environments.The aim of this study was to examine the effects of integrating face to face classes in fully online courses.Forty eight undergraduate…

Computers and Society · Computer Science 2015-04-02 Maryam Tayebinik , Marlia Puteh

Learning-to-learn or meta-learning leverages data-driven inductive bias to increase the efficiency of learning on a novel task. This approach encounters difficulty when transfer is not advantageous, for instance, when tasks are considerably…

Machine Learning · Computer Science 2019-06-20 Ghassen Jerfel , Erin Grant , Thomas L. Griffiths , Katherine Heller
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