1,923 research outputs found
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The use of MBTI in software engineering
In this paper we evaluate the use of Carl Jungs theories of Psychological Type assessed using the Myer-Briggs Type Indicator in the Software Engineering field. The current level of implementation and its quality is established and the results discussed to provide insight into what we currently know, and suggestions on what could be important to investigate for the future.
Upon gathering MBTI data from a range of sources it is apparent that there is agreement on the types of personalities often discovered inside software engineering. Thinking and judging personality preferences are commonly found, while feeling and perceiving is far less common. This differs substantially from results representative of the American population, and supports the belief that software engineers are more commonly represented by specific types of people.
However, there is discrepancy between four of the 16 types identified in the MBTI, suggesting that there is still some understanding to be gained about personality in software engineering, and we do not by any means know the exact breakdown of types present within the industry
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A qualitative study of the relationship of personality type with career management and career choice preference in a group of bioscience postgraduate students and postdoctoral researchers
This study reports on the career management and career choice preferences of a
sample of bioscience postgraduate students and postdoctoral researchers according
to their personality type as determined using the Myers Briggs Type Indicator
(MBTI). Correlations can be found but other decision-making processes come into
play and are more influential regarding career choice
Teaching psychology to computing students
The aim of this paper is twofold. The first aim is to discuss some observations gained from teaching Psychology to Computing students, highlighting both the wide range of areas where Psychology is relevant to Computing education and the topics that are relevant at different stages of students’ education. The second aim is to consider findings from research investigating the characteristics of Computing and Psychology students. It is proposed that this information could be considered in the design and use of Psychology materials for Computing students.
The format for the paper is as follows. Section one will illustrate the many links between the disciplines of Psychology & Computing; highlighting these links helps to answer the question that many Computing students ask, what can Psychology offer to Computing? Section two will then review some of the ways that I have been involved in teaching Psychology to Computing students, from A/AS level to undergraduate and postgraduate level. Section three will compare the profiles of Computing and Psychology students (e.g. on age, gender and motivation to study), to highlight how an understanding of these factors can be used to adapt Psychology teaching materials for Computing students. The conclusions which cover some practical suggestions are presented in section four
Semantic Modeling for Group Formation
Group formation has always been a subject of interest in collaborative learning research. As it is concerned with assigning learners to the groups that maximize their benefits, computer-supported group formation can be viewed in this context as an active personalization for the individual as an entity within the group. While applying this personalization to all students in the class can cause conflicts due to the differences of needs and interests between the individuals, negotiating the allocations to groups to reach consensus can be a very challenging task. The automated process of grouping students while preserving the individual’s personalization needs to be supported by an appropriate learner model. In this paper, we propose a semantic learner model based on the Friend of Friend (FOAF) ontology, a vocabulary for mapping social networks. We discuss the model as we analyse the different types of groups and the learners’ features that need to be modeled for each of these types
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