Abstract:

Due to the rapid evolving theories and technologies supporting Technology Enhanced Learning (TEL), further investigation for this domain is needed. Therefore, a brief review for TEL past and current state-of-the-art has been performed to predict the future of TEL technologies. This has been supported by design science research paradigm as a research framework, which supports development of an automated analysis technique based on text-mining patients’ feedback. At the end, a service-oriented architecture for TEL software system is presented in order to support end user(s) requirements; and more specifically, non-functional requirements.

Keywords: Technology enhanced learning; design science research; e-learning; e-health; learning; SOA.