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Recently, interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognising the value of learning analytics for improving not only learning and teaching but also the entire educational arena. However, theoretical concepts and empirical evidence need to be generated within the fast evolving field of learning analytics. In this paper, we introduce a holistic learning analytics framework. Based on this framework, student, learning, and curriculum profiles have been developed which include relevant static and dynamic parameters for facilitating the learning analytics framework. Based on the theoretical model, an empirical study was conducted to empirically validate the parameters included in the student profile. The paper concludes with practical implications and issues for future research.
In 2002 guidelines for the implementation of the internship programme for prospective teachers have been released in a joint venture by the Basic Education Sector Programme(BESP) of the GTZ (Gesellschaft für Technische Zusammenarbeit/German Technical Cooperation) and the Professional Development Centre (Teacher Education) of the National Institute for Education of Sri Lanka (NIE). These guidelines aim at assisting the National Colleges of Education (NCOEs) and internship schools in implementing the internship programme and at improving its efficiency and effectiveness in the local venues of teacher training. The Monitoring & Evaluation activity described in the present article was to assess as to how far the intentions originally associated with the internship programme are being accomplished. Its main task is to bring strengths and weaknesses of the programme to light and to appraise the current status of its implementation.