E-Learning for Secondary and Higher Education Sectors: A Survey
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 9
Abstract
Electronic learning (e-learning) has gained reasonable acceptance from educational institutions at all levels. There are various studies conducted by researchers considering different aspects of e-learning to investigate how we can benefit in imparting quality education. However, there is a requirement to find out how researchers consider different sectors of secondary and higher education (HE) sectors. In this paper, we carefully select published research article of past six years and study how the research was conducted and which research methods are applied to attain results. We also investigate how case studies are presented for evaluating results. We finally present our findings from conducting this study of e-learning research at secondary and the higher education levels.
Authors and Affiliations
Sadia Ashraf, Tamim Khan, Inayat Rehman
Data Exfiltration from Air-Gapped Computers based on ARM CPU
Air-gapped Network is a network isolated from public networks. Several techniques of data exfiltration from air-gapped networks have been recently proposed. Air-gap malware is a malware that breaks the isolation of an ai...
Performance Metrics for Decision Support in Big Data vs. Traditional RDBMS Tools & Technologies
In IT industry research communities and data scientists have observed that Big Data has challenged the legacy of solutions. ‘Big Data’ term used for any collection of data or data sets which is so large and complex and d...
Learning Analytics Framework for Adaptive E-learning System to Monitor the Learner’s Activities
The adaptive e-learning system (AE-LS) research has long focused on the learner model and learning activities to personalize the learner’s experience. However, there are many unresolved issues that make it difficult for...
Efficient Smart Emergency Response System for Fire Hazards using IoT
The Internet of Things pertains to connecting currently unconnected things and people. It is the new era in transforming the existed systems to amend the cost effective quality of services for the society. To support Sma...
Rotation-Invariant Neural Pattern Recognition System Using Extracted Descriptive Symmetrical Patterns
In this paper a novel rotation-invariant neural-based pattern recognition system is proposed. The system incorporates a new image preprocessing technique to extract rotation-invariant descriptive patterns from the...