Teacher knowledge guides a teacher's behaviour in the classroom. Teacher knowledge for technology education is generally assumed to play an important role in affecting pupils' learning in technology. There are an abundant number of teacher knowledge models that visualise different domains of teacher knowledge, but clear empirical evidence on how these domains interact is lacking. Insights into the interaction of teacher knowledge domains could be useful for teacher training. In this study, the hypothesised relations between different domains of teacher knowledge for technology education in primary schools were empirically investigated. Subject matter knowledge, pedagogical content knowledge, attitude, and self-efficacy were measured with tests and questionnaires. Results from a path analysis showed that subject matter knowledge is an important prerequisite for both pedagogical content knowledge and self-efficacy. Subsequently, teachers' self-efficacy was found to have a strong influence on teachers' attitude towards technology. Based on the findings in this study, it is recommended that teacher training should first of all focus on the development of teachers' subject matter knowledge and pedagogical content knowledge. This knowledge will positively affect teachers' confidence in teaching and, in turn, their attitude towards the subject. More confidence in technology teaching and a more positive attitude are expected to increase the frequency of technology education, which consequently increases teaching experience and thereby stimulates the development of teachers' pedagogical content knowledge. This circle of positive reinforcement will eventually contribute to the quality of technology education in primary schools.
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Teacher knowledge guides a teacher's behaviour in the classroom. Teacher knowledge for technology education is generally assumed to play an important role in affecting pupils' learning in technology. There are an abundant number of teacher knowledge models that visualise different domains of teacher knowledge, but clear empirical evidence on how these domains interact is lacking. Insights into the interaction of teacher knowledge domains could be useful for teacher training. In this study, the hypothesised relations between different domains of teacher knowledge for technology education in primary schools were empirically investigated. Subject matter knowledge, pedagogical content knowledge, attitude, and self-efficacy were measured with tests and questionnaires. Results from a path analysis showed that subject matter knowledge is an important prerequisite for both pedagogical content knowledge and self-efficacy. Subsequently, teachers' self-efficacy was found to have a strong influence on teachers' attitude towards technology. Based on the findings in this study, it is recommended that teacher training should first of all focus on the development of teachers' subject matter knowledge and pedagogical content knowledge. This knowledge will positively affect teachers' confidence in teaching and, in turn, their attitude towards the subject. More confidence in technology teaching and a more positive attitude are expected to increase the frequency of technology education, which consequently increases teaching experience and thereby stimulates the development of teachers' pedagogical content knowledge. This circle of positive reinforcement will eventually contribute to the quality of technology education in primary schools.
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A primary teacher needs mathematical problem solving ability. That is why Dutch student teachers have to show this ability in a nationwide mathematics test that contains many non-routine problems. Most student teachers prepare for this test by working on their own solving test-like problems. To what extent does these individual problem solving activities really contribute to their mathematical problem solving ability? Developing mathematical problem solving ability requires reflective mathematical behaviour. Student teachers need to mathematize and generalize problems and problem approaches, and evaluate heuristics and problem solving processes. This demands self-confidence, motivation, cognition and metacognition. To what extent do student teachers show reflective behaviour during mathematical self-study and how can we explain their study behaviour? In this study 97 student teachers from seven different teacher education institutes worked on ten non-routine problems. They were motivated because the test-like problems gave them an impression of the test and enabled them to investigate whether they were already prepared well enough. This study also shows that student teachers preparing for the test were not focused on developing their mathematical problem solving ability. They did not know that this was the goal to strive for and how to aim for it. They lacked self-confidence and knowledge to mathematize problems and problem approaches, and to evaluate the problem solving process. These results indicate that student teachers do hardly develop their mathematical problem solving ability in self-study situations. This leaves a question for future research: What do student teachers need to improve their mathematical self-study behaviour? EAPRIL Proceedings, November 29 – December 1, 2017, Hämeenlinna, Finland
Creating and testing a Virtual Reality Therapy Application to reduce alcohol addiction. Develop and test a Virtual Reality application to be used in therapy, within Novadic Kentron, that helps people deal with alcohol addiction. By recreating real contexts in VR that either stimulate craving or elicit positive feelings, the VR application should increase, for example, self-confidence to deal with these situations and reduce relapse risks. In addition, together with students from BUas and other universities, we study the effects of different forms of realism and resemblance within virtual reality worlds. We are testing, among other things, differences between CGI-created and 360-recorded worlds that differ in level of personalisation.Partner:Novadic-Kentron
