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An Empirical Approach to Mobile Learning on Mobile Ad Hoc Networks
(IEEE, 2020)
Mobile Ad hoc Networks (MANETs) are made up of mobile nodes that
are interconnected wirelessly, while topology changes as mobile nodes join and
leave the network. MANETs do not depend on fixed infrastructure. Due to ...
3-Category Pedagogical Framework for Context Based Ambient Learning
(IEEE, 2013)
Mobile phones have taken centre stage in transforming people’s lives in
all sectors of African economies. With regard to Education sector, studies show that,
there is high prevalence of mobile phones among learners in ...
Ambient Learning - Knowledge as a Service Model: Towards the Achievement of Sustainable Development Goal Four
(IEEE, 2018)
Studies show that United Nations Sustainable Development Goal Four is
yet to be achieved. This paper presents an artefact named “Ambient learning-
Knowledge as a Service model” for describing how actionable knowledge can ...
Evaluation Model for Improving Ambient Learning Systems Towards Achieving Sustainable Development Goal Four
(IEEE, 2018)
Among the 17 sustainable development goals
specified by United Nations organization in 2015, goal four is
the key for progress towards the achievement of all the other
goals. However, studies show that this goal is yet ...
Open mobile ambient learning(OMAL): The next generation of mobile learning for 'mobile-rich' but 'computer-poor' contexts.
(Research Gate, 2014)
By the end of year 2011, Africa had over 620 million mobile connections, overtaking Latin America to become second largest mobile market after Asia. According to Ilona Buchem in 2012, since mobile devices and applications ...
Culture Aware M-Learning Classification Framework for African Countries
(Research Gate, 2014)
African countries are currently experiencing proliferation of mobile phone subscriptions but no prevalence
of personal computers or electricity (Parker, 2011). It is estimated that, by the end of 2015 in Sub-Saharan
Africa, ...
Ambient Learning Conceptual Framework for Bridging Digital Divide in Higher Education
(Research Gate, 2014)
According to ITU (2012), digital divide is the difference between countries in terms of levels of ICT development. This difference remains significant. In 2011, the ICT Development Index (IDI) value of developed countries ...
Dynamic Heuristics: Greedy Search: A Mobile Information Retrieval Algorithm for Ambient Learning Systems
(Research Gate, 2016)
Research supervision services like providing study materials can be enhanced through mobile information retrieval algorithms. An example is semantic searching algorithms, which require the user to input one or two real ...
Applying Data Mining in Graduates’ Employability
(International Journal of Engineering Pedagogy (iJEP), 2023)
Envisaging an adequate IT/IS solution that can mitigate the employability problems is imperative because nowadays there is a high rate of unemployed graduates. Thus, the main goal of this systematic literature review (SLR) ...
Predicting Employability of Congolese Information Technology Graduates Using Contextual Factors: Towards Sustainable Employability
(Sustainability, 2022)
Predicting employability in an unstable developing country requires the use of contextual factors as predictors and a suitable machine learning model capable of generalization. This study has discovered that parental ...