Intelligent Web-based Learning
109 resources related to Intelligent Web-based Learning
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The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.
All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
With technically co-sponsored by IEEE ComSoc(Communications Society), IEEE ComSocCISTC(Communications & Information Security Technical Community), and IEEE ComSocONTC(Optical Networking Technical Community), the ICACT(International Conference onAdvanced Communications Technology) Conference has been providing an open forum forscholars, researchers, and engineers to the extensive exchange of information on newlyemerging technologies, standards, services, and applications in the area of the advancedcommunications technology. The conference official language is English. All the presentedpapers have been published in the Conference Proceedings, and posted on the ICACT Websiteand IEEE Xplore Digital Library since 2004. The honorable ICACT Out-Standing Paper Awardlist has been posted on the IEEE Xplore Digital Library also, and all the Out-Standing papersare subjected to the invited paper of the "ICACT Transactions on the Advanced Communications Technology" Journal issue by GIRI
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Educational methods, technology, and programs; history of technology; impact of evolving research on education.
Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...
Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
2010 10th IEEE International Conference on Advanced Learning Technologies, 2010
This paper describes a conceptual framework for implementing Intelligent Tutoring Systems using SCORM 2004. The main objective is to discuss how the SCORM 2004 sequencing and navigation specification can allow the development of Intelligent Web-Based Learning Environments using the sequencing and navigation tracking data, and rule set. Our main argument is that SCORM 2004 sequencing and navigation specification can be ...
22nd International Conference on Advanced Information Networking and Applications (aina 2008), 2008
As Internet use has proliferated, Web-based learning systems have become more and more popular. Numerous researchers have spent a great deal of effort to facilitate the promotion of high quality Web-based learning environments, such as intelligent Web-based learning systems and adaptive learning. To facilitate such researches, students' behavioral patterns must be observed and experimentally analyzed. However, building a Web-based learning ...
Learning to Dribble on a Real Robot by Success and Failure
IROS TV 2019- Industry 4.0: The Business of Robotics- Industrial CEO Summit Forum
IROS TV 2019- Shantou University- Institute of Robotics and Intelligent Manufacturing
IROS TV 2019- Rutgers University- Center for Accelerated Real Time Analytics
Robotics History: Narratives and Networks Oral Histories: Ruedigger Dillman
Intelligent Systems for Deep Space Exploration: Solutions and Challenges - Roberto Furfaro
IROS TV 2019- Macau- Episode 2- Robots Connecting People
Q&A with Dr. Atilla Elci: IEEE Big Data Podcast, Episode 10
Brain-like Intelligence Inside - Towards Autonomously Interacting Systems
Large Scale Data Mining Using Genetics-Based Machine Learning 1
Mads Nielsen - COVID-19, Deep Learning and Biomedical Imaging Panel
Large Scale Data Mining Using Genetics-Based Machine Learning 3
Data and Algorithmic Bias in the Web - Ricardo Baeza-Yates - WCCI 2016
Large Scale Data Mining Using Genetics-Based Machine Learning 2
Panelist Yuval Elovici - ETAP Forum Tel Aviv 2016
Mark Guzdial: 2012 IEEE Computer Society Undergraduate Teaching Award Winner
ICRA 2020 Keynote - Can Deep Reinforcement Learning from pixels be made as efficient as from state?
IROS TV 2019-Collaborative Robotics & Intelligent Systems Institute CoRIS at Oregon State University
Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics
This paper describes a conceptual framework for implementing Intelligent Tutoring Systems using SCORM 2004. The main objective is to discuss how the SCORM 2004 sequencing and navigation specification can allow the development of Intelligent Web-Based Learning Environments using the sequencing and navigation tracking data, and rule set. Our main argument is that SCORM 2004 sequencing and navigation specification can be used to implement the two main functionalities of an ITS, (1) the inner loop and (2) the outer loop.
As Internet use has proliferated, Web-based learning systems have become more and more popular. Numerous researchers have spent a great deal of effort to facilitate the promotion of high quality Web-based learning environments, such as intelligent Web-based learning systems and adaptive learning. To facilitate such researches, students' behavioral patterns must be observed and experimentally analyzed. However, building a Web-based learning system and the requisite collecting of behavioral patterns usually takes a great deal of time and effort. To solve this problem, this paper proposes a learning behavioral model based on Colored Petri Nets (CPN) to model and generate students' behavioral patterns. To verify the viability of the proposed model, this paper compares actual data collected from elementary school students with the behavioral pattern generated by the proposed model. The results prove: (1) The generated behavioral pattern approaches actual student behavior; (2) The generated behavioral pattern serves as adequate test data to test whether the predicted learning content of an intelligent e-learning system is appropriate; and (3) The proposed model is capable of recommending the appropriate learning content for students utilizing e-learning systems.
No standards are currently tagged "Intelligent Web-based Learning"