41,808 research outputs found

    The vocational ID : connecting life design counselling and personality systems interaction theory

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    We introduce the Vocational ID that integrates linguistic and visual representations of a career counselling client’s self. Based upon findings from the Life Design paradigm and the Personality Systems Interaction theory, the Vocational ID facilitates working on clients' vocational identity. In this article, we present the theoretical framework, its practical applications, and a case study

    Review on learning orientations

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    The need has arises towards the consideration of individual difference to let learners engage in and responsible for their own learning, retain information longer, apply the knowledge more effectively, have positive attitudes towards the subject, have more interest in learning materials, score higher and have high intrinsic motivation level. As regard to the importance of individual differences, Martinez (2000) has grounded a new theory, which is Intentional Learning Theory that covered individual aspects of cognitive, intention, social and emotion. This theory hypothesizes that the fundamental of understanding how individual learns, interact with an environment, performs, engages in learning, experiences learning, and assimilate and accommodate the new knowledge is by understanding individual’s fundamental emotions and intentions about how to use learning, why it is important, when the suitable time, and how it can accomplish personal goals and change. The intent of this theory is to focus on emotions and intentions of an individual regarding why, when and how learning goals are organized, processed, and achieved. In conclusion, Learning Orientations introduced by this theory describes the disposition of an individual in approaching, managing and achieving their learning intentionally and differently from others

    The influence of peer group response: Building a teacher and student expertise in the writing classroom

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    New Zealand students in the middle and upper school achieve better results in reading than they do in writing. This claim is evident in national assessment data reporting on students’ literacy achievement. Research findings also state that teachers report a lack of confidence when teaching writing. Drawing on the National Writing Project developed in the USA, a team of researchers from the University of Waikato (New Zealand) and teachers from primary and secondary schools in the region collaborated to “talk” and “do” writing by building a community of practice. The effects of writing workshop experiences and the transformation this has on teachers’ professional identities, self-efficacy, and their students’ learning provided the research focus. This paper draws mostly on data collected during the first cycle of the two-year project. It discusses the influence of peer group response – a case study teacher’s workshop experiences that transformed her professional identity, building her confidence and deepening her understandings of self as writer and ultimately transforming this expertise into her writing classroom practice

    Student profiling in a dispositional learning analytics application using formative assessment

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    How learning disposition data can help us translating learning feedback from a learning analytics application into actionable learning interventions, is the main focus of this empirical study. It extends previous work where the focus was on deriving timely prediction models in a data rich context, encompassing trace data from learning management systems, formative assessment data, e-tutorial trace data as well as learning dispositions. In this same educational context, the current study investigates how the application of cluster analysis based on e-tutorial trace data allows student profiling into different at-risk groups, and how these at-risk groups can be characterized with the help of learning disposition data. It is our conjecture that establishing a chain of antecedent-consequence relationships starting from learning disposition, through student activity in e-tutorials and formative assessment performance, to course performance, adds a crucial dimension to current learning analytics studies: that of profiling students with descriptors that easily lend themselves to the design of educational interventions
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