Md Arafatur Rahman
Biographic Data
| ID | 9442019 |
|---|---|
| NAME | Md Arafatur Rahman |
| GIVEN NAMES | Md Arafatur |
| FAMILY NAME | Rahman |
| SIGNATURE | RAHMAN M A |
| AFFILIATIONS | Universiti Malaysia Pahang Al-Sultan Abdullah |
| ORCID | 0000-0002-8221-6168 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Implementing a Comprehensive Instructional Design Framework for Technology-Enhanced Language Learning to Enhance Engagement, Self-Confidence, and Reduce Cognitive Load
The global pandemic has accelerated digital transformation, prompting a need to investigate the outcomes of technology-enhanced learning environments on students’ success. The current study develops a multimedia-based English language learning tool and assesses its impact on students’ engagement, self-confidence, and learning outcomes within a tertiary-level setting. Using a focus group interview protocol, this study involves 25 tertiary-level st…
Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
No prominent works on this page.
Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
Implementing a Comprehensive Instructional Design Framework for Technology-Enhanced Language Learning to Enhance Engagement, Self-Confidence, and Reduce Cognitive Load
The global pandemic has accelerated digital transformation, prompting a need to investigate the outcomes of technology-enhanced learning environments on students’ success. The current study develops a multimedia-based English language learning tool and assesses its impact on students’ engagement, self-confidence, and learning outcomes within a tertiary-level setting. Using a focus group interview protocol, this study involves 25 tertiary-level st…
Artificial Intelligence (2 works) · Computer Science (2 works) · Anomaly Detection Techniques and Applications (1 work) · Artificial neural network (1 work) · Business (1 work) · Cloud computing (1 work) · Cluster analysis (1 work) · Cognition (1 work) · Computer security (1 work) · COVID-19 diagnosis using AI (1 work)