The Experts below are selected from a list of 207369 Experts worldwide ranked by ideXlab platform

Dragan Gasevic - One of the best experts on this subject based on the ideXlab platform.

  • ICALT - A Semantic-Rich Framework for Learning Software Patterns
    2008 Eighth IEEE International Conference on Advanced Learning Technologies, 2008
    Co-Authors: Zoran Jeremic, Jelena Jovanovic, Dragan Gasevic
    Abstract:

    Current approaches to Learning Software patterns are based on individual use of different Learning systems and tools. With this dasiafragmentedpsila approach it is very hard to provide support for context-aware Learning and offer personalized Learning experience to students. In this paper, we propose a new approach to Learning Software patterns that integrates existing Learning management systems, domain specific tools for Software modeling and relevant online repositories of Software patterns into a complex Learning framework that supports collaborative Learning. This framework is based on the semantic Web technologies.

  • EC-TEL - Towards a Semantic-Rich Collaborative Environment for Learning Software Patterns
    Times of Convergence. Technologies Across Learning Contexts, 1
    Co-Authors: Zoran Jeremic, Jelena Jovanovic, Dragan Gasevic
    Abstract:

    Current approaches to Learning Software patterns are based on individual use of different Learning systems and tools. With this `fragmented' approach it is very hard to provide support for context-aware Learning and offer personalized Learning experience to students. In this paper, we propose a new approach to Learning Software patterns that integrates existing Learning Management Systems, domain specific tools for Software modeling and relevant online repositories of Software patterns into a complex Learning framework that supports collaborative Learning. This framework is based on the semantic web technologies.

Zoran Jeremic - One of the best experts on this subject based on the ideXlab platform.

  • ICALT - A Semantic-Rich Framework for Learning Software Patterns
    2008 Eighth IEEE International Conference on Advanced Learning Technologies, 2008
    Co-Authors: Zoran Jeremic, Jelena Jovanovic, Dragan Gasevic
    Abstract:

    Current approaches to Learning Software patterns are based on individual use of different Learning systems and tools. With this dasiafragmentedpsila approach it is very hard to provide support for context-aware Learning and offer personalized Learning experience to students. In this paper, we propose a new approach to Learning Software patterns that integrates existing Learning management systems, domain specific tools for Software modeling and relevant online repositories of Software patterns into a complex Learning framework that supports collaborative Learning. This framework is based on the semantic Web technologies.

  • EC-TEL - Towards a Semantic-Rich Collaborative Environment for Learning Software Patterns
    Times of Convergence. Technologies Across Learning Contexts, 1
    Co-Authors: Zoran Jeremic, Jelena Jovanovic, Dragan Gasevic
    Abstract:

    Current approaches to Learning Software patterns are based on individual use of different Learning systems and tools. With this `fragmented' approach it is very hard to provide support for context-aware Learning and offer personalized Learning experience to students. In this paper, we propose a new approach to Learning Software patterns that integrates existing Learning Management Systems, domain specific tools for Software modeling and relevant online repositories of Software patterns into a complex Learning framework that supports collaborative Learning. This framework is based on the semantic web technologies.

Frank Maurer - One of the best experts on this subject based on the ideXlab platform.

  • LSO - Learning Software Organizations and Agile Software Development: Complementary or Contradictory Concepts?
    Advances in Learning Software Organizations, 2003
    Co-Authors: Scott Henninger, Frank Maurer
    Abstract:

    The LSO Workshop series has focused on technical, organizational, and social solutions to problems of Learning from past experiences and codifying the resulting best practices so they can be systematically used in subsequent Software development efforts. The theme of the Fourth Workshop on Learning Software Organizations (LSO), held in Chicago, Illinois in August of 2002 was “Balancing Agile Processes and Long-Term Learning in Software Organizations”. In this workshop, we wanted to explore the issues involved in managing knowledge in dynamic domains requiring significant levels of improvisational change within each repetition of the process [1]. Thus, it seemed appropriate to collocate with the XP Agile Universe conference, which focuses on Agile development methods that require significant levels of flexibility in the development process.

  • Learning Software organizations and agile Software development complementary or contradictory concepts
    Lecture Notes in Computer Science, 2002
    Co-Authors: Scott Henninger, Frank Maurer
    Abstract:

    The LSO Workshop series has focused on technical, organizational, and social solutions to problems of Learning from past experiences and codifying the resulting best practices so they can be systematically used in subsequent Software development efforts. The theme of the Fourth Workshop on Learning Software Organizations (LSO), held in Chicago, Illinois in August of 2002 was “Balancing Agile Processes and Long-Term Learning in Software Organizations”. In this workshop, we wanted to explore the issues involved in managing knowledge in dynamic domains requiring significant levels of improvisational change within each repetition of the process [1]. Thus, it seemed appropriate to collocate with the XP Agile Universe conference, which focuses on Agile development methods that require significant levels of flexibility in the development process.

Jelena Jovanovic - One of the best experts on this subject based on the ideXlab platform.

  • ICALT - A Semantic-Rich Framework for Learning Software Patterns
    2008 Eighth IEEE International Conference on Advanced Learning Technologies, 2008
    Co-Authors: Zoran Jeremic, Jelena Jovanovic, Dragan Gasevic
    Abstract:

    Current approaches to Learning Software patterns are based on individual use of different Learning systems and tools. With this dasiafragmentedpsila approach it is very hard to provide support for context-aware Learning and offer personalized Learning experience to students. In this paper, we propose a new approach to Learning Software patterns that integrates existing Learning management systems, domain specific tools for Software modeling and relevant online repositories of Software patterns into a complex Learning framework that supports collaborative Learning. This framework is based on the semantic Web technologies.

  • EC-TEL - Towards a Semantic-Rich Collaborative Environment for Learning Software Patterns
    Times of Convergence. Technologies Across Learning Contexts, 1
    Co-Authors: Zoran Jeremic, Jelena Jovanovic, Dragan Gasevic
    Abstract:

    Current approaches to Learning Software patterns are based on individual use of different Learning systems and tools. With this `fragmented' approach it is very hard to provide support for context-aware Learning and offer personalized Learning experience to students. In this paper, we propose a new approach to Learning Software patterns that integrates existing Learning Management Systems, domain specific tools for Software modeling and relevant online repositories of Software patterns into a complex Learning framework that supports collaborative Learning. This framework is based on the semantic web technologies.

Wang Yong-bo - One of the best experts on this subject based on the ideXlab platform.

  • The Production and Application of Virtual Mark Muscle Learning Software
    Journal of Anhui Agricultural Sciences, 2010
    Co-Authors: Zhao Feng, Qi Xianglan, Wang Yong-bo, Yao Hongxing, Wang Sheng
    Abstract:

    The production thoughts and process,main functions of virtual mark muscle Learning Software and its application in the teaching of anatomy were introduced.It not only is a new interactive teaching Software with character,sound and character so as to provide foundation and technical support for the medical research and application,but it also can provide beneficial reference for developing from the study of "virtual human"to "virtual visual human",to "virtual physiological human".

  • Design and Development for Learning Software of Virtual Mark Muscle in Anatomy
    Journal of Anhui Agricultural Sciences, 2010
    Co-Authors: Wang Yong-bo
    Abstract:

    The virtual reality technology-assisted methods for the teaching of anatomy were presented to solve the problem of lacking human body specimens in medical colleges. The author developed the Learning Software for Virtual Mark Muscle based on VT (Virtools dev) interactive behavior module (BB module) and introduced the Software's teaching design,main functions and the developing process.