Metacognition and Human Performance Improvement

An understanding of the uses of meta-cognition provides a powerful tool toward developing quality and efficiency in task learning and performance. Metacognition is the executive controller of cognitive processes responsible both for self regulated learning and work performance outcomes. Comprehension monitoring and motivation are two prime components of metacognition which are responsible for commitment to, and definition of, goals, monitoring progress toward goals, and activating the appropriate thinking skills to achieve goals. Specific thinking skill categories of attention, organization, and elaboration are described with examples of how specific techniques in each category can optimize learning and job performance. Research on training of metacognitive skills through both detached and embedded skill-development programs is reviewed. In addition, ways to compensate for metacognitive skills when training is not cost-effective are described. The relationship between metacognitive skills and effective management of work performance is stressed.     

INTRODUCTION TO THE SPECIAL ISSUE OF EDUCATIONAL GERONTOLOGY: INTERDISCIPLINARY GERIATRIC EDUCATION IN THE HEALTH CARE PROFESSIONS: THE DEVELOPMENT,IMPLEMENTATION, AND EVALUATION OF PROGRAMS IN THE RHODE ISLAND GERIATRIC EDUCATION CENTER

The interest around intergenerational programs and the fostering of intergenerational relationships is growing internationally. However, studies on the profile and functions of intergenerational program managers are still scarce. Furthermore, available approaches to the traits and functions of intergenerational program managers have not highlighted which features are distinctive of these professionals. Through a Delphi study undertaken in Spain, with participation of 18 intergenerational program managers and 12 intergenerational specialists, consensus was reached around characteristics of both the general profile of intergenerational program managers and the specificities of this occupational role. On the one hand, being able to work on a team, having skills for observation and contextual analysis, and being skilled at managing resources were identified as the most important general characteristics. On the other hand, being good at promoting contacts, social relationships, interactions, and bonds was deemed to be the most distinctive feature of this profile. After contrasting our results with international guidelines and standards for intergenerational work, the need to develop and reinforce further the relational nature of this professional figure is argued.     

A Personal Theory of Teaching Computing Through Final Year Projects

Stated learning objectives for final year projects tend to be fairly generic. As a result, individual students' experience of project work will depend heavily on the attitudes and beliefs of their supervisor. This paper questions the purpose of projects in the computing curriculum and proposes a personal theory of teaching through projects. In deciding whether such a personal theory should emphasize disciplinary specific content or an experiential approach to learning we consider teaching and learning as a process of enculturation. The personal theory of teaching proposed envisages projects as an opportunity for students to engage in realistic activity which allows them to learn something of the nature of the discipline. The student may be thought of as being on a journey, while the supervisor takes the role of a guide pointing out alternatives along the route but allowing students ultimately to find their own way.     

Supporting students' preparation for the viva: their pre-conceptions and implications for practice

In universities theories and concepts are created and used within a disciplinary context, and some understanding of this context is necessary if students fully are to make sense of their studies. Thus, we investigate computer scientists' perspectives on their discipline. Biglan characterises Computer Science as being hard, rather than soft and as being applied, rather than pure. Therefore, Computer Science is associated with the engineering disciplines. Although many computer scientists support this view, others see the discipline as being identified more properly with Mathematics and/or the sciences. We suggest some reasons for the difference of opinion and highlight the implications for what students might learn about the disciplinary context.