Adaptive Learning Platforms: Tailoring Education to Individual Learning Styles
Adaptive learning is a novel strategy that modifies the intensity, substance, and evaluation of training according to the efficiency, development, and learning interests of each student. It analyses student data and offers personalized educational services using complex technologies and neural networks. By adjusting to each student's needs, adaptive learning ensures that training is pertinent, interesting, and just the right amount of demand. By providing information that speaks to each student's unique needs, adaptive learning improves incentive and satisfaction of the learning process while also improving student involvement. Students receive individualised education based on their areas of strength and vulnerability, which increases the significance and effectiveness of the learning process. the advantages of tailoring education directing techniques to deal with various forms of bullying. There provide strategies that teachers can implement to help spiritually disrupted young learners that are more likely to act out in reactions.
These strategies include using logic and assessment in penalties circumstances supporting choice-making and resolving conflicts, educating tailoring responsibility and meditation, and setting an instance that promotes emotion regulation. The analyse on raising children that have various temperaments informs the recommendations. Adaptive goals that were most extensively were learning attributes including learning style, adaptable critiques, and adaptive navigation. The analysis insights will be helpful to adaptive learning developers and scholars going forward, as they point out areas that still require investigation. Additional exploration is required to learn more about the way adaptive learning could support learning and advancement. The need for this effort was highlighted by the paucity of educational materials on adaptive learning and the requirement to include sector specialized expertise. theme analysis approach to the qualitative information in order for understanding the advantages and disadvantages of the seven modalities that are offered, contrast the variations between earlier and senior individuals on their interests for privacy education, pinpoint areas that require advancement, and modify the treatments to better suit beyond users' needs and desires
This special issue is to offer classes that match the methods by which students can successfully finish their education. In order to do this, an adaptive online education system that takes use of the traces left by users' activities in their educational environment will be used to realise the concept. All things considered, knowledge tailoring could be a useful strategy for enhancing patient-reported perspectives such as contentment, reliability, and memory as well as healthcare interaction.
Papers are invited that consider, but are not limited to, the following themes:
- Moving towards adaptable learning systems for sustainable electronic learning.
- Creating products for tumours victims with specific dietary needs and instruction.
- Adapting Tailoring technological advancements in telecoms to educational settings.
- Material management systems with adaptive learning designed for tailoring educational environments.
- Building an intelligent, adaptive learning system in a pervasive setting.
- Using analysis of data to provide adaptive learning in an academic setting.
- Adapting instruction for tailoring student preferences to optimise educational performance.
- Customising instruction to accommodate pupil preferences in order to maximise academic achievement.
- Extending resident conferences while customising them to training level: a long-term analysis.
- Exploring approaches reassemble educational resources and tools in an adaptable learning environment.
- Modification of tailoring education with augmented reality and adaptive technology.
- Synchronisation of adaptive learning techniques to increase student engagement.
Guest Editor Information:
Dr. Engr. Abdul Kadar Muhammad Masum, Department of Software Engineering, Faculty of Science and Information Technology, Daffodil International University, Bangladesh. Email: masum.swe@diu.edu.bd
Dr. Md Zia Uddin, Sustainable Communication Technologies Department, SINTEF Digital, Oslo, Norway. Email: zia.uddin@sintef.no
Dr. Md Abdus Samad, Department of Information and Communication Engineering, Yeungnam University, South Korea. Email: masamad@yu.ac.kr
Tentative Timeline:
- Deadline for manuscript submissions will be October 15, 2024
- Expected publication date will be based on Journal decision
