Teaching history requires clear, detailed and subject specific language. History teachers teaching in a second language are confronted with students' second language limitations, which likely have an aggravating impact on their application of pedagogical content knowledge (PCK). We analysed and compared 12 Dutch spoken and 12 English spoken paired history lessons in junior grades 7 and 9. Contrary to our expectation, we found a strong similarity of the teachers’ PCK application in both grades 7 and 9, irrespective of the used language. The PCK application in both grades and languages was of average quality, while the PCK used in grade 9 was more advanced.
This paper presents a comprehensive study on assisting new AI programmers in making responsible choices while programming. The research focused on developing a process model, incorporating design patterns, and utilizing an IDE-based extension to promote responsible Artificial Intelligence (AI) practices. The experiment evaluated the effectiveness of the process model and extension, specifically examining their impact on the ability to make responsible choices in AI programming. The results revealed that the use of the process model and extension significantly enhanced the programmers' understanding of Responsible AI principles and their ability to apply them in code development. These findings support existing literature highlighting the positive influence of process models and patterns on code development capabilities. The research further confirmed the importance of incorporating Responsible AI values, as asking relevant questions related to these values resulted in responsible AI practices. Furthermore, the study contributes to bridging the gap between theoretical knowledge and practical application by incorporating Responsible AI values into the centre stage of the process model. By doing so, the research not only addresses the existing literature gap, but also ensures the practical implementation of Responsible AI principles.
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