Evaluation Model for Improving Ambient Learning Systems Towards Achieving Sustainable Development Goal Four
| Autor: | Simon Nyaga Mwendia |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Sustainable development
Process management Computer science 05 social sciences 0202 electrical engineering electronic engineering information engineering Key (cryptography) Task analysis 020201 artificial intelligence & image processing 02 engineering and technology 0509 other social sciences 050904 information & library sciences |
| Zdroj: | 2018 5th International Conference on Soft Computing & Machine Intelligence (ISCMI). |
| Popis: | 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 to be achieved among African universities in terms of supervision due to inadequate availability of supervisors to their research students. Ambient learning approach promises to address the problem by allowing access to education services like research supervision at anytime, anywhere and anyhow. Nevertheless, little research has been conducted to assess its effectiveness towards achieving sustainable development goal four. The aim of this paper is to describe a model that illustrates how ambient learning systems can be combined with decision support tools to support evaluation of its effectiveness. |
| Databáze: | OpenAIRE |
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