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Sondag, Tyler; Pokorny, Kian L.; Rajan, Hridesh – ACM Transactions on Computing Education, 2012
Students in all areas of computing require knowledge of the computing device including software implementation at the machine level. Several courses in computer science curricula address these low-level details such as computer architecture and assembly languages. For such courses, there are advantages to studying real architectures instead of…
Descriptors: Programming Languages, Computer Simulation, Computer Graphics, Computer Interfaces
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Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology
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Huang, Shiu-Li; Shiu, Jung-Hung – Educational Technology & Society, 2012
The success of Web 2.0 inspires e-learning to evolve into e-learning 2.0, which exploits collective intelligence to achieve user-centric learning. However, searching for suitable learning paths and content for achieving a learning goal is time consuming and troublesome on e-learning 2.0 platforms. Therefore, introducing formal learning in these…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Computer System Design, Computer Science Education
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Shao, Kun; Maher, Peter – Interactive Technology and Smart Education, 2012
Purpose: Teaching advanced technical concepts in a computer science program to students of different technical backgrounds presents many challenges. The purpose of this paper is to present a detailed experimental pedagogy in teaching advanced computer science topics, such as computer networking, telecommunications and data structures using…
Descriptors: Computer Assisted Instruction, Active Learning, Telecommunications, Computer Networks
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Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
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Shaw, Ruey-Shiang – Computers & Education, 2010
This research investigated the application of knowledge maps in e-learning materials design and hypothesized that knowledge maps would be more effective than e-learning in general at improving the performance and satisfaction of e-learning. In order to test the hypotheses, we conducted an experiment with 175 participants and randomly assigned them…
Descriptors: Electronic Learning, Self Efficacy, Statistical Analysis, Hypothesis Testing
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Lin, Yu-Tzu; Yen, Bai-Jang; Chang, Chia-Hu; Lee, Greg C.; Lin, Yu-Chih – Interactive Technology and Smart Education, 2010
Purpose: The purpose of this paper is to propose an indexing and teaching focus mining system for lecture videos recorded in an unconstrained environment. Design/methodology/approach: By applying the proposed algorithms in this paper, the slide structure can be reconstructed by extracting slide images from the video. Instead of applying…
Descriptors: Video Technology, Lecture Method, Indexing, Educational Experiments
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Li, Frederick W. B.; Lau, Rynson W. H.; Dharmendran, Parthiban – International Journal of Distance Education Technologies, 2010
Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials according to topics and levels of difficulties. Adaptive courses are then generated by extracting materials from the course structure to match the criteria specified in the…
Descriptors: Electronic Learning, Programming, Profiles, Student Characteristics
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Isotani, Seiji; Mizoguchi, Riichiro; Inaba, Akiko; Ikeda, Mitsuru – Computers & Education, 2010
One of the most useful ways to enhance collaboration is to create scenarios where learners are able to interact more effectively. Nevertheless, the design of pedagogically sound and well-thought-out collaborative learning scenarios is a complex issue. This is due to the context of group learning where the synergy among learners' interactions…
Descriptors: Instructional Design, Artificial Intelligence, Instructional Effectiveness, Group Dynamics
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Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction
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Loustau, Pierre; Nodenot, Thierry; Gaio, Mauro – Interactive Technology and Smart Education, 2009
Purpose: The purpose of this paper is to present a computational approach and a toolset to infer spatial displacements as they occur in route narrative documents and report on first experiments done to produce computer-aided learning (CAL) applications and instructional design editors that exploit the inferred georeferenced itineraries.…
Descriptors: Instructional Design, Semantics, Language Universals, Internet
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Liao, Ching-Jung; Chou, Chien-Chih; Yang, Jin-Tan David – International Journal of Distance Education Technologies, 2009
The purpose of this study is to incorporate adaptive ontology into ubiquitous learning grid to achieve seamless learning environment. Ubiquitous learning grid uses ubiquitous computing environment to infer and determine the most adaptive learning contents and procedures in anytime, any place and with any device. To achieve the goal, an…
Descriptors: Individualized Instruction, Simulation, Educational Environment, College Freshmen
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Li, Yi-Hsung; Dow, Chyi-Ren; Lin, Cheng-Min; Chen, Sheng-Chang; Hsu, Fu-Wei – International Journal of Distance Education Technologies, 2009
Innovations in network and information technology have transformed traditional classroom lectures into new approaches that have given universities the opportunity to create a virtual laboratory. However, there is no systematic framework in existing approaches for the development of virtual laboratories. Further, developing a virtual laboratory…
Descriptors: Laboratories, Program Development, Program Implementation, College Instruction
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Sasaki, Shiori; Watagoshi, Kiku; Takano, Kosuke; Hirashima, Kazuo; Kiyoki, Yasushi – Interactive Technology and Smart Education, 2010
Purpose: The purpose of this paper is to present the design and implementation of music courseware that features a music search system that uses impression keywords. The paper applies the courseware to "Kansei" (sensibility) development for elementary and junior high school students. The objectives of this courseware are to cultivate…
Descriptors: Foreign Countries, Music Education, Elementary School Teachers, Elementary School Students
Hijon-Neira, Raquel, Ed. – InTech, 2009
The education industry has obviously been influenced by the Internet revolution. Teaching and learning methods have changed significantly since the coming of the Web and it is very likely they will keep evolving many years to come thanks to it. A good example of this changing reality is the spectacular development of e-Learning. In a more…
Descriptors: Computer Assisted Instruction, Educational Technology, Internet, Feedback (Response)