Letteratura scientifica selezionata sul tema "Learning for planning"

Fieldwork education is a crucial component of social work education. Many social work students regard their placement experiences as the most profound learning experiences of their studies. The students undertake their field placements in a diverse range of organisational contexts, and in so doing perform a myriad of tasks, adopt a variety of roles, implement a range of practices, and engage with numerous people. Needless to say, social work students have a rich set of learning opportunities within such diversity. An important part of the fieldwork process is the development of learning plans; these plans guide and direct the students’ roles, tasks and learning, and are often an important framework by which assessment of competency and learning takes place. However, learning plans presuppose a logical and conceptual clarity, which needs to be learned if they are to be functional and effective documents. This then poses many challenges in relation to how students might develop a learning plan for fieldwork. This paper explores some of the problems, and offers practical guidance, for students and fieldwork educators to develop rational learning plans in diverse and complex contexts.

This paper introduces a framework for Planning while Learning where an agent is given a goal to achieve in anenvironment whose behavior is only partially known to the agent. We discuss the tractability of various plan-design processes. We show that for a large natural class of Planning while Learning systems, a plan can be presented and verified in a reasonable time. However, coming up algorithmically with a plan, even for simple classes of systems is apparently intractable. We emphasize the role of off-line plan-design processes, andshow that, in most natural cases, the verification (projection) part canbe carried out in an efficient algorithmic manner.

TechniCity (Technology and Cities) offered in May, 2013 was the first city planning Massive Open Online Course (MOOC). More than 21,000 students registered for the course, which was composed of video lectures, projects, assignments, peer evaluation, and on-line discussion over a four week period. This MOOC experimented with using field based learning, combined with extensive student engagement. The objective was to extend the type of learning environment typically found in city planning classes and similar to what is being done in several other disciplines. This article describes the first stage of research, describing course structure and providing initial findings on both course and student outcomes. Compared to students enrolling in traditional, for-credit classes, students in this MOOC reported a range of backgrounds, motivations, and expectations. The data collected also provide insights on student course activity including completion. This information obtained from the class can be used to improve future course offerings. This article documents a pedagogical approach that is still very new and lacking a significant base of literature and comparative studies. The article conclude by suggesting a variety of topics for further research.