BU, Lingguo
Southern
Illionis University in Carbondale,
USA
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Seeking Mathematical Understanding Through Dynamic Modeling and Explorative Learning School mathematics is a unique domain of knowledge where tensions have been building up between traditional values and modern computational technologies, between experts' growing enthusiasm and learners' unabating anxiety, between meaningful learning and instrumental utility. New interactive and dynamic mathematical learning technologies have provided a resourceful environment for |
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educators to reassess and enhance the role of didactical modeling and mathematical modeling in mathematics teaching and learning. From the perspective of Model-Centered Learning and Instruction (MCLI), the speaker will address the basic tenets of MCLI and their implications for mathematics teacher development and student learning, using examples and data from his work with mathematics and science teachers in projects that integrated the use of GeoGebra, an open- source dynamic mathematics learning technology. The speaker will discuss the challenges and opportunities that new technologies such as GeoGebra bring to mathematics teacher educators, mathematics teachers, and instructional designers. |
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ERDURAN,
Sibel
University of Bristol, UK
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Visual information and epistemic objects in scientific practices: The missing link and the role of new technologies in meeting the learning challenge Visual information (i.e. photographs, diagrams, tables, charts) are a part of science since the visual information make it possible for scientists to understand complex phenomena and might convey important evidence not observable in other ways. Numerous studies have explored the use of images in science textbooks, students’ representations or models when doing science, students’ images of science and scientists. However the |
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examination of the epistemic potential of visual information has been a largely ignored area of educational research. For instance, questions such as how visual data become epistemic in nature in science and how can the underlying processes be simulated in the science learning environment have typically been overlooked. In this talk I will identify and detail the use of visual information in science drawing out some applications in science education including the articulation of the role of new technologies. In particular, I will conceptualise the processes through which visual information become epistemic objects in contemporary instances of scientific journals that use digital media. I will also draw examples from school-based research in science teaching and learning to frame the implications for science education including the instantiation of the norms, the knowledge and the public engagement of visual information that embrace new technologies in scientific practices. |
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KOMMERS,
Piet
University of Twente, The
Netherlands
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Learning in the Networked Society As connectivity is taking over mobility and hierarchic authorities, societies face a more dynamic interplay among individuals in order to benefit from diversity rather than conquer it. Sectors like education, care and industry face drastic reforms; Mono-disciplinary competencies and soloist achievements are necessary skills, however no longer sufficient for attacking realistic problems as we face nowadays in networked societies. |
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This keynote lecture demonstrates how media have conquered a vital role in the evolution of human mentality and ways to survive. Projects like Big-History and Trizz for collaborative problem solving are guiding us to solutions we never envisaged before. The message is that mobility and virtuality have brought us to the situation now where pre-planned transformations like in the industrial period are no longer satisfying. The discussion will be provoked on how we expect teachers to be trained in order to vitalize education like other sectors as well. |
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MOLLAMAHMUTOĞLU,
Murat
Bayburt University,
Turkey
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The Rector of the Bayburt University will give an opening talk and his perspective to host this conference. Moreover, he is going to share his own experience in education and provide his suggestions for prospective scholars.
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OLIVE,
John
University of Georgia, USA
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IDEAL Technologies for Mathematics Learning: Opportunities and Challenges The available technologies for teaching and learning, both in and out of school have expanded tremendously during the first decade of this century. Alongside computers and calculators we have iPods, iPhones, and now iPads; hand-held computing devices such as the TI-nSpire (which operates more like a computer than a calculator); networked calculators; wireless response systems; scientific probes that can be connected to hand-held |
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devices or computers for generating real data in real time (CBL’s and CBR’s); Interactive SMART Boards and now, interactive SMART Tables for collaborative problem solving activities. The explosion in web-based resources for finding information, for social networking, for entertainment and for collaborative problem solving in on-line communities has changed the way we live our lives – outside of school. Perhaps one powerful reason for why almost a third of the students entering high schools in the USA “drop out” before completing their high school diploma is that education in many schools is presented in the same way as it was in the 19th and 20th centuries. The educational process in school bares little resemblance to how people learn outside of school – this presents both opportunities and challenges. As educators, we need to investigate how children and young adults are making use of the technological environment in which they live and what they are learning from that use. As mathematics educators, we need to understand how we might harness this technological environment to enhance the learning and teaching of mathematics – both in school and out-of-school. In my talk I will present examples of a variety of these new technologies that are being developed for use both in school and out-of-school. All of these examples share the themes of this conference: they are Dynamic, Explorative and Active Learning environments. |
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