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Personalized and Adaptive Context-Aware Mobile Learning: Review, challenges and future directions
Chandra Prakash Gumbheer1, Kavi Kumar Khedo1, Anjali Bungaleea2
1Faculty of Information, Communication and Digital Technologies, University of Mauritius, Réduit, Mauritius.
Personalized and Adaptive Context-Aware Mobile Learning (PACAML) enhances academic performance by supporting interactivity and individuality. This review synthesizes PACAML research, identifying key contextual information, infrastructure needs, applications, and methodologies.
Area of Science:
- Educational Technology
- Mobile Learning
- Computer-Supported Education
Background:
- The COVID-19 pandemic accelerated the adoption of digital learning globally.
- Personalized and Adaptive Context-Aware Mobile Learning (PACAML) technologies offer enhanced academic performance through ubiquitous social interactivity, context sensitivity, connectivity, and individuality.
- Existing research indicates PACAML's efficacy, yet a comprehensive body of knowledge is lacking.
Purpose of the Study:
- To conduct a systematic review of existing Personalized and Adaptive Context-Aware Mobile Learning (PACAML) research.
- To analyze recent developments and identify gaps in the comprehensive understanding of PACAML.
- To synthesize findings on contextual information, infrastructure, applications, and methodologies in PACAML studies.
Main Methods:
- A systematic literature review was performed using Kitchenham et al.'s (2009) methodology.
- Twenty-five relevant papers were selected using the PRISMA technique.
- Quality criteria were established based on research aims, objectives, and relevance to PACAML.
Main Results:
- Identified the types of contextual information utilized in PACAML studies.
- Detailed the infrastructural requirements for implementing PACAML.
- Analyzed the application of PACAML in various educational settings and outlined major methodological approaches used in the research.
Conclusions:
- The review provides a comprehensive overview of the current state of PACAML research.
- Identified key areas including contextual information, infrastructure, applications, and methodologies.
- Highlights significant challenges and proposes future research directions for educational technology in the context of PACAML.
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