University of Macau / Faculty of Education

University of Macau / Faculty of Education

The ability to interpret and apply experiences, or cases (Kolodner, 1993; 1997) is a skill (Anderson, et. al, 1981; Anderson, 2000) that is key to successful learning that can be transferred (Bransford, Brown and Cocking, 1999) to new learning situations. For middle-schoolers in a project-based inquiry science classroom, interpreting and applying the experiences of experts to inform their design solutions is not always easy (Owensby and Kolodner, 2002). Interpreting and applying an expert case and then assessing the solution that results from that application are the components of a process I call case use. This work seeks to answer three questions: 1. How do small-group case use capabilities develop over time? 2. How well are students able to apply case use skills in new situations over time? 3. What difficulties do learners have as they learn case use skills and as they apply case use skills in new situations? What do these difficulties suggest about how software might further support cognitive skill development using a cognitive apprenticeship (Collins, Brown and Newman, 1989) framework? I argue that if learners in project based inquiry classrooms are able to understand, engage in, and carry out the processes involved in interpreting and applying expert cases effectively, then they will be able to do several things. They will learn those process and be able to read an expert case for understanding, glean the lessons they can learn from it, and apply those lessons to their question or challenge. Furthermore, I argue that they may also be able to transfer interpretation, application, and assessment skills to other learning situations where application of cases is appropriate.

There has been an increase in the use of partnerships as a policy prescription for improving education since the mid 1980's. This trend builds on nearly a century of reform movements in education. In order to improve education policy, this study focuses on the question of whether math and science education partnerships as typically constituted provide the necessary conditions for the adaptive management (sustainable and adaptable action) of local education problems by the participants. This qualitative study uses data derived from the views of 32 experts on math and science partnerships collected during an internet-based application of the Delphi methodology designed to develop testable elements of a logic model of partnerships in math and science education. The results of this study suggest that the implementation and content requirements built into grant programs that include partners as a condition in aid most often result in a narrow programmatic focus among the participants. Organizations choose to participate in disjointed serial interventions that support organizational needs or goals based on the availability of funding and partners for particular programmatic activities. They choose partners from among those who are interested in similar or complementary activities. The primary focus of STEM education partnerships is therefore on implementing and sometimes evaluating the funded programmatic activities and not on building a broader learning community. Activities or education problems that are not funded tend to be excluded from the activities and dialog of the policy-induced partnership. By limiting the scope of the collaboration we are limiting the potential for adaptive management and the value of these partnerships.

published_or_final_version / Education / Master / Master of Education

published_or_final_version / Education / Master / Master of Education

Science is curiosity about the natural world translated into knowledge; it serves to identify laws and validate hypotheses. The quest for knowledge is influenced by the paradigm of the scientist. The primary object of this study is to examine Quantum Mechanics and Sacred/Native science for similarities and differences. This will be accomplished through an extensive use of authorities from both Western and Native sciences in an in depth examination of the paradigms upon which their foundations are based. This study will explore language and how language used leads the scientist down a particular pathway. This study will conclude in a summary fashion, an exploration of a few select key concepts from both Native and Western sciences from a comparative perspective. / ix, 135 leaves ; 29 cm.

Scientific external representations (ERs), such as diagrams, images, pictures, graphs and animations are considered to be powerful teaching and learning tools, because they assist learners in constructing mental models of phenomena, which allows for the comprehension and integration of scientific concepts. Sometimes, however, students experience difficulties with the interpretation of ERs, which· has a negative effect on their learning of science, . . including biochemistry. Unfortunately, many educators are not aware of such student difficulties and make the wrong assumption that what they, as experts, consider to be an educationally sound ER will necessarily promote sound. learning and understanding among novices. On the contrary, research has shown that learners who engage in the molecular biosciences can experience considerable problems interpreting, visualising, reasoning and learning with ERs of biochemical structures and processes, which are both abstract and often represented by confusing computer-generated symbols and man-made markings. The aim of this study was three-fold. Firstly, to identify and classify students' conceptual and reasoning difficulties with a selection of textbook ERs representing· IgG structure and function. Secondly, to use these difficulties to identify sources of the difficulties and, therefore, factors influencing students' ability to interpret the ERs. Thirdly, to develop a model of these factors and investigate the practical applications of the model, including guidelines fOf improving ER design and the teaching and learning with ERs. The study was conducted at the University of KwaZulu-Natal, South Africa and involved a total of 166 second and third-year biochemistry students. The research aims were addressed using a p,ostpositivistic approach consisting of inductive and qualitative research methods. Data was collected from students by means of written probes, audio- and video-taped clinical interviews, and student-generated diagrams. Analysis of the data revealed three general categories of student difficulties, with the interpretation of three textbook ERs depicting antibody structure and interaction with antigen, termed the process-type (P), the. structural-type (S) and DNA-related (D) difficulties. Included in the three general categories of difficulty were seventeen sub-categories that were each classified on the four-level research framework of Grayson et al. (2001) according to v how much information we had about the nature ofeach difficulty and, therefore, whether they required further research. The incidences of the classified difficulties ranged from 3 to 70%, across the student populations and across all three ERs. Based on the evidence of the difficulties, potential sources of the classified difficulties were isolated. Consideration of the nature of the sources of the exposed difficulties indicated that at least three factors play a major role in students' ability to interpret ERs in biochemistry. The three factors are: students' ability to reason with an ER and with their own conceptual knowledge (R), students' understanding (or lack thereof) of the concepts of relevance to the ER (C), and the mode in which the desired phenomenon is represented by the ER (M). A novel three-phase single interview technique (3P-SIT) was designed to explicitly investigate the nature of the above three factors. Application of3P-SIT to a range of abstract to realistic ERs of antibody structure and interaction with antigen revealed that the. instrument was extremely useful for generating data corresponding to the three factors.. In addition; analysis of the 3P-SIT data showed evidence for the influence ofone factor on another during students' ER interpretation, leading to the identification of a further four interactive factors, namely the reasoning-mode (R-M), reasoning conceptual (R-C), conceptual-mode (C-M) and conceptual-reasoning-mode (C-R-M) factors. The Justi and Gilbert (2002) modelling process was employed to develop a model of the seven identified factors. Empirical data generated using 3P-SIT allowed the formulation and validation of operational definitions for the seven factors and the expression of the model as a Venn diagram, Consideration ofthe implications of the model, yielded at least seven practical applications of the model, including its use for: establishing whether sound or unsound interpretation, learning and visualisation of an ER has occurred; identifying the nature and source of any difficulties; determining which of the factors of the model are positively or negatively influencing interpretation; establishing what approaches to ER design and teaching and learning with ERs will optimise the interpretation and learning process; and, generally framing and guiding researchers', educators' and authors' thinking about the nature of students' difficulties with the interpretation of both static and animated ERs in any scientific context. In addition, the study demonstrated how each factor of the expressed model can be used to inform the design of strategies for remediating or preventing students' difficulties with the interpretation of scientific ERs, a target for future research. / Thesis (Ph.D.)-University of KwaZulu-Natal, Pietermaritzburg, 2005.

In this dissertation I explore the nature of an internship for high school students in a university science laboratory and the issues that arise from it. The investigation of science internships is relatively new to science education; therefore, this exploration is urgently needed. Twenty-one participants were involved in the internship experience, including 13 students, one teacher, two research scientists, and five technicians. Data sources include observations, field notes, and videotapes. Drawing on four coherent and complementary research tools—cultural-historical activity theory, discourse analysis, conversation analysis, and phenomenography, I articulate a variety of phenomena from multiple perspectives. The phenomena identified in the dissertation include (a) the discursive resources deployed by a teacher for interesting and inviting students to participate in science; (b) the discursive resources high school students used for articulating their interests in science-related careers; (c) the natural pedagogical conversations for accomplishing the work of teaching and learning during the internship; (d) the theoretical concepts mobilized for describing the unfolding of science expertise in the internship; (e) participants’ ways of experiencing the science internship; and (f) students’ understandings of scientific practice after participating in the internship. The study identifies many useful resources for understanding the nature of the science internship and provides a foundation for future research. The findings reported here will also serve others as a springboard for establishing partnerships between high schools and science communities and improving teaching and learning in science education.

This thesis explores learning in and through the emergence of a network of communities who participated in the B.C. Coastal Eelgrass Stewardship Project (the Project). I draw on a two-year ethnographic investigation of 20 community groups who were trained to map and monitor eelgrass habitat and carry out education and stewardship-related activities. People from a multitude of backgrounds, including scientists and non-scientists, and a diversity of places, from small coastal communities to urban centers, worked towards the collective goal of mapping and conserving the extent of eelgrass habitat along the coast. Using cultural-historical activity theory, I develop an alternative framework for understanding learning and change in a network of communities. The collection of three main chapters, shows that learning, emergence, and stabilization of the network arose through the following dialectical relations: individual/collective, social/material, and agency/structure. This thesis shows that viewing and supporting the Project as a dynamic learning network makes it more stable.