PCK is seen as the transformation of content knowledge and pedagogical knowledge into a different type of knowledge that is used to develop and carry out teaching strategies. To gain more insight into the extent to which PCK is content specific, the PCK about more topics or concepts should be compared. However, researchers have rarely compared teachers’ concrete PCK about more than one topic. To examine the content dependency of PCK, we captured the PCK of sixteen experienced Dutch history teachers about two historical contexts (i.e. topics) using interviews and Content Representation questionnaires. Analysis reveals that all history teachers’ PCK about the two contexts overlaps, although the degree of overlap differs. Teachers with relatively more overlap are driven by their overarching subject related goals and less by the historical context they teach. We discuss the significance of these outcomes for the role of teaching orientation as a part of PCK.
Pedagogical content knowledge is found to be a crucial part of the knowledge base for teaching. Studies in the field of primary technology education showed that this domain of teacher knowledge is related to pupils' increased learning, motivation,and interest. The common methods to investigate teachers' pedagogical content knowledge are often complicated, and time and labour consuming. Hence, a challenge in measuring teachers' pedagogical content knowledge is to construct an instrument that is time and labour-efficient, and makes it possible to investigate large sample sizes. This paper illustrates how a multiple-choice test to measure teachers' pedagogical content knowledge in primary technology education was designed and validated. The procedure of test construction and the first results are presented. It is concluded that the systematic procedure that was followed is effective for the construction of a valid test. In addition, statistical analyses showed that test/re-test reliability is moderate. Data collection with larger samples is needed in order to find more statistical support for the psychometric properties of the test.
Serious games foster the acquisition of complex problem-solving skills. Assessment of such skills should be in line with instruction, and within a serious game environment its content validity should equal face-to-face assessment. Research on assessment in serious gaming has remained rather scarce. This article shows how assessment can be implemented in serious gaming in a way that assures content validity. The core of the authors’ validation method entails mapping learning activities (as contained in the game scenario) on performance indicators and outputs (as derived from formal attainment levels). They present how they have elaborated and applied the method for an assessment game for ICT managers in secondary vocational education. They describe the procedure and extent to which this assessment is content-valid compared to face-to-face assessment.
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The production of denim makes a significant contribution to the environmental impact of the textile industry. The use of mechanically recycled fibers is proven to lower this environmental impact. MUD jeans produce denim using a mixture of virgin and mechanically recycled fibers and has the goal to produce denim with 100% post-consumer textile by 2020. However, denim fabric with 100% mechanically recycled fibers has insufficient mechanical properties. The goal of this project is to investigate the possibilities to increase the content of recycled post-consumer textile fibers in denim products using innovative recycling process technologies.
Carboxylated cellulose is an important product on the market, and one of the most well-known examples is carboxymethylcellulose (CMC). However, CMC is prepared by modification of cellulose with the extremely hazardous compound monochloracetic acid. In this project, we want to make a carboxylated cellulose that is a functional equivalent for CMC using a greener process with renewable raw materials derived from levulinic acid. Processes to achieve cellulose with a low and a high carboxylation degree will be designed.
Deze aanvraag onderzoekt hoe de beta-versie van de Dynamische Arousal-Valence Tool - ontwikkeld binnen SIA-RAAK’s Network is the Message – naar de markt gebracht kan worden. De DAVTool meet sentiment in social media posts. Sentimentanalyse levert cruciale informatie voor social media managers, online marketeers en content strategen. Zij móeten weten wat het sentiment over hun product, bedrijf of dienst is om adequaat te kunnen interveniëren. De huidige manier van meten levert niet voldoende inzicht. De nieuwe DAVTool vult de meting aan en meet sentiment op een innovatieve manier en geeft als gevolg meer en betere informatie.
