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Toward a Global Biodiversity Observing System

science 2008年第5892期321卷 1044-1045页

作者： R. J. Scholes G. M. Mace W. Turner G. N. Geller N. Jürgens A. Larigauderie D. Muchoney B. A. Walther H. A. Mooney Council of Scientific and Industrial Research (CSIR) Natural Resources and Environment Post Office Box 395 Pretoria 0001 South Africa. Centre for Population Biology National Environment Research Council Imperial College London Silwood Park Ascot Berkshire SL5 7PY UK. Earth Science Division U.S. National Aeronautics and Space Administration (NASA) Headquarters 300 E Street S.W. Washington DC 20546-0001 USA. NASA Ecological Forecasting Program Jet Propulsion Laboratory California Institute of Technology MS171-264 4800 Oak Grove Drive Pasadena CA 91109-8099 USA. University of Hamburg BioCentre Klein Flottbek and Botanical Garden Ohnhorststrasse 18 22609 Hamburg Germany. DIVERSITAS Muséum National d'Histoire Naturelle Maison Buffon 57 rue Cuvier-Case Postale 41 75231 Paris Cedex 05 France. Group on Earth Observations (GEO) 7 bis avenue de la Paix Case Postale 2300 CH-1211 Geneva 2 Switzerland. Department of Biological Sciences Stanford University Stanford CA 94305 USA.

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Delivering Context-aware learning Guidance in the Mobile learning environment based on Information Theory

Delivering Context-aware Learning Guidance in the Mobile Lea...

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International Conference on Advanced learning Technologies (ICALT)

作者： Rita Kuo Min-Chang Wu Alex Chang Maiga Chang Jia-Sheng Heh Department of Electronic Engineer Chung Yuan Christian University Taiwan Department of Information and Computer Engineering Chung Yuan Christian University Taiwan Program Office of National Science and Technology Program for Learning in Taiwan Taiwan

Mobile learning makes students get the advantages of both traditional learning and e-learning. How to give students learning sequence suggestions in the mobile learning environment is a big issue and is also the goal of this paper. This research uses knowledge map to store the characteristics of each learning object and designs a situated map to represent spatial knowledge in the mobile learning environment. By using these two knowledge structures, knowledge map and situated map, the system created by this research can generate various navigation sentences and ask students to observe the characteristics of learning objects. This research also takes information theory into consideration in order to decide which navigation sentence should deliver to the student first. The system calculates the entropy for each generated sentence and finds the most appropriate one to deliver to the student. At the end of this paper, an experiment system is implemented for the 5th year biology course, Plant Observation.

关键词： Information theory Navigation electronic learning Mobile computing Knowledge representation Humans Cognition Personal digital assistants US Department of Transportation Sequences

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Waters network's potential to transform environmental engineering education

Waters network's potential to transform environmental engine...

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114th Annual ASee Conference and exposition, 2007

作者： eschenbach, elizabeth Montgomery, Jami Johnson, James Brus, Chris Carlson, Patricia Giammar, Dan Grauer, Bette Hotaling, Liesl Oguntimein, Gbekeloluwa Safferman, Steven Wentling, Tim Humboldt State University United States Department of Environmental Resources Engineering Humboldt State University United States WATERS Network - CLEANER Project Office Network Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States American Academy of Environmental Engineers United States University of Iowa United States Program University of Iowa United States Rose-Hulman Institute of Technology United States Department of Rhetoric Rose-Hulman Institute of Technology United States National Research Council U. S. Air Force United States NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Energy Environmental and Chemical Engineering Washington University St. Louis United States Environmental Studies Program Center for Materials Innovation United States McPherson High School United States McPherson High School McPherson KS United States Stevens Institute of Technology United States Stevens Institute of Technology United States Morgan State University United States Michigan State University United States Biosystems and Agricultural Engineering Department Michigan State University United States University of Dayton United States Education Planning Committee National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University or Illinois United States Knowledge and Learning Systems Group NCSA United States

The WATeRS Network (WATer and environmental Research Systems Network) will be an integrated real-time distributed observing system which will enable academic and government scientists, engineers, educators, and practitioners to advance effective management of our nation's water resources by understanding human interactions with water and the natural and built environment. WATeRS will provide easily accessible real time environmental data as well as analysis tools to engineers, scientists, educators, K- graduate students and policymakers so they can better understand how water quantity, quality and related components of the hydrologic cycle are impacted by natural and human influences. The WATeRS strategic plan will be completed by July 2007 and requires constituent input. This paper describes the draft Conceptual Design and the education Plan of WATeRS Network. This paper will highlight the potential impact of WATeRS on undergraduate and graduate environmental engineering education in order to elicit input from the environmental engineering education community on how WATeRS Network could better meet the future needs of undergraduate and graduate students and educators. More information can be found at ***. © American Society for engineering education, 2007.

关键词： Water resources

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A treasure hunting learning model for students studying history and culture in the field with cellphone

A treasure hunting learning model for students studying hist...

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6th International Conference on Advanced learning Technologies, ICALT 2006

作者： Chang, Alex Chang, Maiga Hsieh, Athena Department of Information and Computer Engineering Chung-Yuan Christian University National Science and Technology Program for E-learning Taiwan

ISBN: (纸本)0769526322

In the treasure hunting process, the hunters could only get few hints with simple words, therefore they must think over with the experience they learned before. The goal of this paper is to propose a treasure hunting learning model and implement a system based on the model. Within the treasure hunting learning model students will become a treasure hunter when they are learning in the field. The learning model makes learning more fun by asking students some questions according to their learning records and physical position. In order to make the system portable and treasure hunting liked, we implement the treasure hunting learning model with the most simple and common cellphone, that is the text-mode cellphone. To verify the learning model is working, a traditional history and culture course in college was taken as the experiment. © 2006 Ieee.

关键词： learning systems

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Spin-wave dispersion in magnetostrictive Fe-Ga alloys: Inelastic neutron scattering measurements

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Physical Review B 2007年第5期75卷 052406-052406页

作者： J. L. Zarestky O. Moze J. W. Lynn Y. Chen T. A. Lograsso D. L. Schlagel Ames Laboratory and Department of Physics and Astronomy Iowa State University Ames Iowa 50011 USA Dipartimento di Fisica Università di Modena e Reggio Emilia Modena 41100 Italy NIST Center for Neutron Research National Institute of Standards and Technology Gaithersburg Maryland 20899-8562 USA Department of Materials Science and Engineering University of Maryland College Park Maryland 20742 USA Ames Laboratory Materials and Engineering Physics Program Iowa State University Ames Iowa 50011 USA

Fe-Ga alloys of appropriate Ga concentration and heat treatment show a very large enhancement in the tetragonal magnetostriction over that of pure α−Fe [λ100(Fe−Ga)∼15λ100(Fe)]. In order to gain further understanding of the extraordinary magnetoelastic characteristics of this system, the spin dynamics of two of these alloys, Fe1−xGax (x=0.160 and 0.225), were studied using inelastic neutron scattering techniques. The correlation of the spin-wave dispersion curve with the lattice constant and atomic radii of solute is examined for this and other Fe alloys.

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Developing a learning notification express delivery service for students based on Petri-net

Developing a learning notification express delivery service ...

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6th International Conference on Advanced learning Technologies, ICALT 2006

作者： Wu, Tzu-Husan Kuo, Rita Chang, Maiga Heh, Jia-Sheng Department of Information and Computer Engineering Chung-Yuan Christian University Department of Electronic Engineering Chung-Yuan Christian University National Science and Technology Program for e-Learning in Taiwan

ISBN: (纸本)0769526322

This paper designs a learning notification express delivery service for providing students information about their learning status, their next learning activities, and even reminder notes. The learning notification express delivery service uses Petri-net for modeling learning activities. In order to make students knowing what status they are and what activities they need to do during the learning process, a learning planner is also developed to make teachers feel more comfortable in planning their teaching schedule. © 2006 Ieee.

关键词： learning systems

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Developing personalized knowledge navigation service for students self-learning based on interpretive structural modeling

Developing personalized knowledge navigation service for stu...

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6th International Conference on Advanced learning Technologies, ICALT 2006

作者： Wu, Zheng-Hong Liu, Yu-Jun Chang, Maiga Chang, Alex Li, Ming School of Information Science and Technology East China Normal University Shanghai 200026 China Dept. of Educational Technology Zhejiang University of Technology Zhejiang 310000 China Program Office of National Science and Technology Program for e-Learning in Taiwan Chung-Li320 Taiwan Dept. of Information and Computer Engineering Chung-Yuan Christian University Taiwan

ISBN: (纸本)0769526322

This paper designs a personalized navigation service based on the student cognitive levels. The personalized navigation service takes the interpretive structural modeling to generate concept navigation matrix by using the student cognitive background matrix (retrieved from tests and questionnaire) and the concept relation matrix (retrieved from textbooks). According to the knowledge structure and the concept navigation matrix, the service can provide different students their own knowledge navigation maps. © 2006 Ieee.

关键词： learning systems

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A SCORM/IMS Compliance Online Test and Diagnosis System

A SCORM/IMS Compliance Online Test and Diagnosis System

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International Conference on Information technology Based Higher education and Training, ITHeT

作者： Jyh-Cheng Chang Shao-Chun Li Alex Chang Maiga Chang Department of Information & Computer Engineering Chung Yuan Christian University Chungli Taiwan National Science and Technology Program for e-Learning Chungli Taiwan

Teachers always want to know how much their students had learned in classes. The most convenient way to discover learning status is `test'. each item on a test sheet always contains one or more concepts used to check whether a student really understands or not. Teachers can also find a student's misconceptions out via the concept relations stored in a test sheet. In order to make the diagnosis process simple, teachers always take concept maps as their test development and learning diagnosis tools. This paper implements a SCORM/IMS compliance online test and diagnosis system base on concept maps. In the system, it has more than 5000 members and generates real-time learning report for misconception diagnosis over 500 times monthly. The members are the third-year student at junior high school and come from different counties and cities all over the country. Currently, the system covers 11 courses such as Chinese, english, Physics, History, and earth science. It's obviously the system is useful for both teachers and students

关键词： System testing learning systems Real time systems Materials testing embedded computing education electronic learning Cities and towns Physics History

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Designing a decompositional rule extraction algorithm for neural networks

Designing a decompositional rule extraction algorithm for ne...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Chen, Jen-Cheng Heh, Jia-Sheng Chang, Maiga Department of Electronic Engineering Chung Yuan Christian University Chung Li Taiwan Department of Information and Computer Engineering Chung Yuan Christian University Chung Li Taiwan National Science and Technology Program for E-learning P.O. Box 9-187 32099 Chung-Li Taiwan

ISBN: (纸本)354034439X

The neural networks are successfully applied to many applications in different domains. However, due to the results made by the neural networks are difficult to explain the decision process of neural networks is supposed as a black box. The explanation of reasoning is important to some applications such like credit approval application and medical diagnosing software. Therefore, the rule extraction algorithm is becoming more and more important in explaining the extracted rules from the neural networks. In this paper, a decompositional algorithm is analyzed and designed to extract rules from neural networks. The algorithm is simple but efficient;can reduce the extracted rules but improve the efficiency of the algorithm at the same time. Moreover, the algorithm is compared to the other two algorithms, M-of-N and Garcez, by solving the MONK's problem. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Neural networks

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Applying knowledge map to diagnose students' misconception and provide suitable teaching materials

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WSeAS Transactions on Computers 2006年第1期5卷 133-140页

作者： Li, Shao-Chun Chang, Jyh-Cheng Chang, Maiga Heh, Jia-Sheng Dept. of Information and Computer Engineering Chung-Yuan Christian Univ. 200 Chung-Pei Rd. Chung-Li 32023 Taiwan National Science and Technology Program for e-Learning in Taiwan 300 Jhongda Rd. Chung-Li 32001 Taiwan

Students in the web-based e-learning environment might have their own learning paths due to the structure of the world-wide web. Students can choose suitable learning materials according to their different learning style. There are many researches about learning diagnosis in distance education and the main objective of these researches is to improve the learning effects of students. This research proposes a diagnosis mechanism based on the Knowledge Map and implements a feedback system in order to provide the remedy teaching materials in sequence.

关键词： Knowledge representation

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