In this study, a data feedback program to improve teachers’ science and technology (S&T) teaching skills was designed and tested. The aim was to understand whether and how the four design principles underlying this program stimulated the intended teacher support. We examined how teachers in different phases of their career applied and experienced the employed design principles’ key aspects. Eight in-service teachers and eight pre-service teachers attended the data feedback program and kept a logbook in the meantime. Group interviews were held afterwards. Findings show that applying the four employed design principles’ key aspects did support and stimulate in- and pre-service teachers in carrying out data feedback for improving their S&T teaching. However, some key aspects were not applied and/or experienced as intended by all attending teachers. The findings provide possible implications for the development and implementation of professional development programs to support in - and pre-service teachers’ S&T teaching using data feedback.
This study contributes to the employability skills debate by investigating how students’ self-perceived 21st century skills relate to the self-perceived fit between their higher education curriculum and their future labor market for a sustainable entry to this labor market. Survey data from 4670 fourth-year students over a period of four years were analyzed. Furthermore, out of this group, 83 students were monitored longitudinally over their full educational student careers. Results showed a positive relationship between students’ self-perceived 21st century skills and their self-perceived “education-future labor market fit”. Among more recent cohorts, a significant improvement in their self-perceived 21st century skills was found. Overall, this study indicated that in order to deliver “employable” graduates, students need to be thoroughly trained in 21st century skills, and their development should be retained and expanded. This is one of the few studies that uses a vast amount of both cross-sectional and longitudinal data on skills and labor market perspectives among new graduates.
Since the emergence of modern man some 200,000 years ago, people and technologyhave been inextricably linked to each other. However, unlike traditional technology -such as leverage (and derivative applications such as hammers, wheels and crankshafts),and control of fire - smart technology is equipped with adaptive capacity. Whereas intraditional technology people have to think and handle in terms of technology in orderto apply technology successfully and purposefully, technology with, for example, itsown learning ability adapts to humans. This means that smart technology influencesdevelopment in a different way than traditional technology. Changes in the relationship between human development (brain) and smarttechnology - technology with its own learning capacity and adaptability - have led tothe articulation of 4 requirements technology should meet: 1. it must be sustainable, 2. it must not block development and if it does it must be clear how, 3. there must bea logical argument why the technique can be used and how it can be explained, also in terms of psychological development and, finally, 4. the social and ethical discoursemust be stated in a transparent way. At a fast pace, futurologists and management gurus are presenting “theories” abouthow smart technology will change us permanently as individuals. Requirements 1(sustainability) and 2 (technology influencing human development) are at stake here.However, these ideas cannot be substantiated by scientific research. Psychology(and the other social and human sciences) have not yet been able to generate a convincing interpretation of what is going on in the area of brain and technology (living technology). In fact, there is a need for argumentation. In order to arrive at an argument-based psychology, insight into the non-linearityof processes is indispensable. The Brain & Technology research group is exploring the great possibilities to bridge the distance between people and their limitations by using smart technology, or possibilities, especially when it comes to argument based applied psychology! In this document, mainly the argument requirement is considered, because in the rapidly changing technological processes, the argument often does not sufficiently develop and the argument lies pre-eminently at the level of applied psychology, brain and technology.
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