Cloud-supported machine learning system for context-aware adaptive M-learning

Muhammad ADNAN; Asad HABIB; Jawad ASHRAF; Shafaq MUSSADIQ

Makale detayları

Cloud-supported machine learning system for context-aware adaptive M-learning

Yazarlar:

Muhammad ADNAN | Asad HABIB | Jawad ASHRAF | Shafaq MUSSADIQ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.2798-2816

Belge Tipi:

Makale

Yayın Tarihi:

7/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000733837

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

It is a knotty task to amicably identify the sporadically changing real-world context information of a learner  during M-learning processes. Contextual information varies greatly during the learning process. Contextual information that affects the learner during a learning process includes background knowledge, learning time, learning location, and environmental situation. The computer programming skills of learners improve rapidly if they are encouraged to solve real-world programming problems. It is important to guide learners based on their contextual information in order to maximize their learning performance. In this paper, we proposed a cloud-supported machine learning system (CSMLS), which assists learners in learning practical and applied computer programming based on their contextual information. Learners? contextual  information is extracted from their mobile devices and is processed by an unsupervised machine learning algorithm called density-based spatial clustering of applications with noise (DBSCAN) with a rule-based  inference engine running on a back-end cloud. CSMLS is able to provide real-time, adaptive, and active learning support to students based on their contextual information characteristics. A total of 150 students evaluated the performance and acceptance of CSMLS for a complete academic semester, i.e. 6 months. Experimental results revealed the threefold success of CSMLS: extraction of students? context information, supporting them in appropriate decision-making, and subsequently increasing their computer programming skills.

Makale detayları

Cloud-supported machine learning system for context-aware adaptive M-learning

Yazarlar: Muhammad ADNAN | Asad HABIB | Jawad ASHRAF | Shafaq MUSSADIQ

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.2798-2816

Belge Tipi: Makale

Yayın Tarihi: 7/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000733837

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Muhammad ADNAN | Asad HABIB | Jawad ASHRAF | Shafaq MUSSADIQ

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2019 Vol.27 Issue 4, pp.2798-2816

Belge Tipi:

Makale

Yayın Tarihi:

7/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000733837

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632