A Case Study of the Development of a Beginning Chemistry Teacher's Knowledge about Models and Modelling

In this paper, we present a case study of a beginning chemistry teacher who enrolled in a project aimed to contribute to the development of teachers' knowledge of models and modelling in science. The project consisted of a series of institutional meetings in combination with an action research project the teacher conducted in her own classes. By explaining how the project was conducted and mainly by focusing on the teacher's voice, her dynamic, continuous, and non-linear process of knowledge development is discussed in detail. We were able to investigate and describe this development in terms of various types of knowledge – content knowledge, curricular knowledge and pedagogical content knowledge – which were developed simultaneously. Among other results, it became clear how certain institutional activities led to specific choices in the teacher's action research project. For instance, although initially she was reluctant to conduct a modelling activity in her class, she decided to experiment with such an activity in her action research project. Subsequently, the responses of her students during the project convinced her of the value of this modelling activity and helped her to become aware of specific views of her students. Finally, it became evident that the whole experience made her very enthusiastic and stimulated her to formulate specific intentions with respect to the future, both in terms of applying certain teaching activities and in terms of collaborating with colleagues.     

The function of annotations in the comprehension of scientific texts: Cognitive load effects and the impact of verbal ability

Students participated in a study (n=98) investigating the effectiveness of three types of annotations on three learning outcome measures. The annotations were designed to support the cognitive processes in the comprehension of scientific texts, with a function to aid either the process of selecting relevant information, organizing the information in memory, or integrating information with prior knowledge. Learning outcomes were measured by assessing student recall of facts, comprehension of the text, and mental model construction. Results show that different types of annotations facilitate different learning outcomes. In addition, we found that, compared to having only one type of annotation available, multiple types of annotations resulted in a higher cognitive load that resulted in lower performance, especially in tests of higher-level processing. This effect was stronger for low-verbal-ability learners, who showed lower peformance in treatments with multiple types of annotations than high-verbal-ability learners.     

Innovation in project-based firms: The context dependency of success factors

Innovation management literature typically concerns functionally organized firms. In this paper we investigate innovation management in a different type of firm, the project-based firm. Project-based firms, such as engineering and construction companies, consultancies and system integrators, are service firms that solely execute projects for clients. We focus on new service development projects in these firms. Based on an in-depth study of six projects in four different firms, we develop hypotheses on differences between success factors for development projects in project-based firms and in functionally organized firms. Some of the success factors for functionally organized firms, as described in the literature, appear to be more important in project-based firms, others seem redundant. Our findings suggest that the specific structure and capabilities of project-based firms provide an explanation for these differences.     

Eco-School in kindergartens: the effects,interpretation, and implementation of a pilot program

This study presents an analysis of a Czech pilot project in implementing the Eco-School program in kindergartens. The evaluation applied a mixed design that included pre/post testing of children using picture-based questionnaires, and interviews with the teachers responsible for conducting the program. The findings revealed a significant increase in the pro-environmental attitudes of the children (N = 419) between the pre-test and the post-test. The results of the qualitative part showed a broad spectrum of the ways in which the program was interpreted by the teachers (N = 16): while some teachers interpreted the program in a highly instrumental way, others interpreted it as emancipatory. Their different ways of interpreting the program led the teachers to different models of distribution of power between the adults and the children. Some of the teachers made the effort to establish a democratic participation of the children in setting the program agenda, but others manipulated the children to obtain their agreement with pre-selected activities. Although the study did not find any evidence that the instrumental implementation of the program would be less effective in promoting children’s attitude change, it showed differences in the interpretation of the merit of the program among the teachers.     

The impact of collaboration on teachers’ individual data use

Research considers collaboration to be a significant factor in terms of how teachers use data to improve their practice. Nevertheless, the effects of teacher collaboration with regard to teachers’ individual data use has remained largely underexplored. Moreover, little attention has been paid to the interplay between collaboration and the personal factors that influence teachers’ data use. This paper addresses this research gap by defining factors that affect collaboration, and by investigating the impact of collaboration on teachers’ individual data use. The resulting research questions were answered by drawing on questionnaire data from 1,472 primary and secondary school teachers in Flanders. The findings indicate that collaboration is the main explanatory factor for teachers’ individual data use compared to teachers’ self-efficacy and attitude. Therefore, this study demonstrates the value of collaboration for future research and for creating a supportive environment for teachers’ individual data use.     

Designing for interaction,thinking and academic achievement in a Tanzanian undergraduate chemistry course

Virtual learning environments are used in higher education around the world to promote student learning. However, in many countries it has not yielded the expected effect on student interaction and learning. The purpose of this study was to investigate whether the use of certain pedagogical approaches would promote student interaction, higher-order thinking and achievement. 102 undergraduate students taking an introductory chemistry course at a Tanzanian university participated in the study, and were randomly assigned to three groups. Each group first studied one topic using the control design (non-interactive learning, NIL) to establish a baseline. Then each group studied three further topics using different pedagogical approaches (NIL), discussion forums (medium interactive learning) and podcasts (highly interactive learning). Data included interviews, subject tests, and the content of online discussion forums. All qualitative data were coded, and repeated-measures ANOVA was used to analyze within design and between design effects; student interaction patterns were analyzed using social network analysis. Results show that social interaction, academic achievement and thinking improved progressively over the three topics (iterations) in each design. The changes in instructor pedagogical strategies and the actions of students to bring what they had learned from podcasts to the learning community contributed to the marked improvement. We conclude that effective use of discussion forums in higher education in Tanzania can produce important learning effects (interaction, thinking, and enhanced academic achievement) and is a low-bandwidth strategy, but coupling podcasts with discussion forums may be a powerful way to enhance the effects.     

A Psychometric Framework for the Evaluation of Instructional Sensitivity

Although there is a common understanding of instructional sensitivity, it lacks a common operationalization. Various approaches have been proposed, some focusing on item responses, others on test scores. As approaches often do not produce consistent results, previous research has created the impression that approaches to instructional sensitivity are noticeably fragmented. To counter this impression, we present an item response theory–based framework that can help us to understand similarities and differences between existing approaches. Using empirical data for illustration, this article identifies three perspectives on instructional sensitivity: One perspective views instructional sensitivity as the capacity to detect differences in students' stages of learning across points of time. A second perspective treats instructional sensitivity as the capacity to detect differences between groups that have received different instruction. For a third perspective, the previous two are combined to consider differences between both time points and groups. We discuss linking sensitivity indices to measures of instruction.