Automated adaptive learning using smart shortest path algorithm for course units
- Research Summary
The graph is a significant, considerable, and efficient representation of online courses in the computer based implementation of an educational system. E-learning and M-learning systems are modeled as weighted directed graphs where each node represents a course unit. The learning Path Graph represents and describes the structure of domain knowledge as well as the learning goals and all available learning paths. In this paper we propose an optimal adaptive learning path algorithm using learner information from the learner's profile to improve E-learning and M-learning system in order to provide suitable course content sequence in a dynamic form for each learner.
- Research link
- key words
Adaptive Learning,
M-learning,
Shortest Path,
User Profile
Effective M-learning design Strategies for computer science and Engineering courses
- Research Summary
Mobile learning (M-learning) is receiving more attention as a method of delivering to learners study materials anytime and anywhere. It is a necessity for educators to come up with a layout for learning that can be accessed through mobile devices. These learning materials should consist of good quality learning theories and accurate instructional layout in order to maintain the learning as effective as possible. It is important to follow certain strategies that can help the developers for M-learning applications. In this paper we proposed a set of strategies that are useful for creating mobile prototype for Computer Science and Engineering courses or M-learning application for course content.
- Research link
- key words
M-learning, mobile devices Strategies, system environment, course content, Interaction.
Management of Multimedia in E-Learning Environments
- Research Summary
E-learning and distance education are growing very fast. Finding the best way to
deliver quality education needs us to think how we can improve and manage the content of documents especially multimedia.
The importance of using multimedia for E-learning is the key factor of success for any Elearning system. There are many tools available to create media such as images, audio and video. However, documents that include several forms of media at the same time might distract the student during the learning process.
We believe that loading several forms of media in the same page but not in the same time can be achieved by providing synchronization to these media through services that support all the requirements that media need. In this paper, we will discus and examine some of multimedia applications that can provide support for E-learning system.
- Research link
- key words
Multimedia
multimedia applications
E-Learning Environments
Automated Adaptive Mobile Learning System using the Semantic Web
- Research Summary
ELearning (Electronic Learning) and m-learning (Mobile Learning) systems are online learning platforms. In our research we are modeling them as a weighted directed graph where each node represents a course unit. A directed graph represents an accurate picture of course descriptions for online courses through the computer-based implementation of various educational systems. The Learning Path Graph (LPG) represents and describes the structure of domain knowledge, including the learning goals, and all other available learning paths. In this paper, we propose an adaptive m-learning system architecture and a conceptual framework that uses the Semantic Web to obtain the students' data from other educational institutions. This process will enable the educational institutions to communicate and exchange students' data, and then use this information to adjust the students' profiles and modify their learning paths. The Semantic Web will create a more personalized dynamic course for individual students according to their ability, educational level, and experience.
- Research link
- key words
Adaptive Learning,
dotNetRDF,
Graph,
M-learning,
Ontology,
RDF,
Semantic Web,
Shortest Path,
Turtle,
User Profile
Research Learning Theories that Entail M-Learning Education Related to Computer Science and Engineering Courses.
- Research Summary
This research is outline and discusses learning theories and explains the importance of learning
theories concepts. Our paper presents the study of learning theories design and their requirements
for the computer science and engineering courses. Computer science and engineering courses are
different from other courses; these differences have to be considered during construction of the
content. Many learning theories suggested in literature need to be considered before construction of
the content is readily adapted to teaching. During the creation of Mobile courses we need to use
one or more of the learning theories to work as a group does deliver high quality of knowledge to
the learners. This is necessary so that the material will fulfill the specific goals of the course. In the
same way for creating the material of a course in M-learning, several learning theories will need to
be included. This paper describes the new roles of learning theories in M-learning education.
- Research link
- key words
M-learning
Learning Theories
Computer Science and Engineering Courses
Course Content
Research Learning Theories that Entail M-Learning Education Related to Computer Science and Engineering Courses.
- Research Summary
This research is outline and discusses learning theories and explains the importance of learning
theories concepts. Our paper presents the study of learning theories design and their requirements
for the computer science and engineering courses. Computer science and engineering courses are
different from other courses; these differences have to be considered during construction of the
content. Many learning theories suggested in literature need to be considered before construction of
the content is readily adapted to teaching. During the creation of Mobile courses we need to use
one or more of the learning theories to work as a group does deliver high quality of knowledge to
the learners. This is necessary so that the material will fulfill the specific goals of the course. In the
same way for creating the material of a course in M-learning, several learning theories will need to
be included. This paper describes the new roles of learning theories in M-learning education.
- Research link
- key words
M-learning
Learning Theories
Computer Science and Engineering Courses
Course Content
SEC-TEEN: A Secure Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks
- Research Summary
When Wireless sensor Networks are composed of a huge number of sensor nodes with limited energy resources, designing an energy efficient protocol will become a critical key issue that needs to be dealt with in order to expand the life span of the entire network. This paper proposes adding security features to the TEEN (Threshold sensitive Energy Efficient sensor Network) protocol by adopting the authentication part of the so-called SEC-LEACH (Secure Low Energy Adaptive Clustering Hierarchy) protocol. The paper then continues by showing how well this improvement goes by running experimental testing with multiple rounds. The new proposed SEC-TEEN improves the network security in and makes it more robust to external threats.
- Research link
- key words
Automated adaptive learning using smart shortest path algorithm for course units
- Research Summary
The graph is a significant, considerable, and efficient representation of online courses in the computer based implementation of an educational system. E-learning and M-learning systems are modeled as weighted directed graphs where each node represents a course unit. The learning Path Graph represents and describes the structure of domain knowledge as well as the learning goals and all available learning paths. In this paper we propose an optimal adaptive learning path algorithm using learner information from the learner's profile to improve E-learning and M-learning system in order to provide suitable course content sequence in a dynamic form for each learner.
- Research link
- key words
Adaptive Learning,
M-learning,
Shortest Path,
User Profile
Effective M-learning design Strategies for computer science and Engineering courses
- Research Summary
Mobile learning (M-learning) is receiving more attention as a method of delivering to learners study materials anytime and anywhere. It is a necessity for educators to come up with a layout for learning that can be accessed through mobile devices. These learning materials should consist of good quality learning theories and accurate instructional layout in order to maintain the learning as effective as possible. It is important to follow certain strategies that can help the developers for M-learning applications. In this paper we proposed a set of strategies that are useful for creating mobile prototype for Computer Science and Engineering courses or M-learning application for course content.
- Research link
- key words
M-learning, mobile devices Strategies, system environment, course content, Interaction.
Management of Multimedia in E-Learning Environments
- Research Summary
E-learning and distance education are growing very fast. Finding the best way to
deliver quality education needs us to think how we can improve and manage the content of documents especially multimedia.
The importance of using multimedia for E-learning is the key factor of success for any Elearning system. There are many tools available to create media such as images, audio and video. However, documents that include several forms of media at the same time might distract the student during the learning process.
We believe that loading several forms of media in the same page but not in the same time can be achieved by providing synchronization to these media through services that support all the requirements that media need. In this paper, we will discus and examine some of multimedia applications that can provide support for E-learning system.
- Research link
- key words
Multimedia
multimedia applications
E-Learning Environments
Automated Adaptive Mobile Learning System using the Semantic Web
- Research Summary
ELearning (Electronic Learning) and m-learning (Mobile Learning) systems are online learning platforms. In our research we are modeling them as a weighted directed graph where each node represents a course unit. A directed graph represents an accurate picture of course descriptions for online courses through the computer-based implementation of various educational systems. The Learning Path Graph (LPG) represents and describes the structure of domain knowledge, including the learning goals, and all other available learning paths. In this paper, we propose an adaptive m-learning system architecture and a conceptual framework that uses the Semantic Web to obtain the students' data from other educational institutions. This process will enable the educational institutions to communicate and exchange students' data, and then use this information to adjust the students' profiles and modify their learning paths. The Semantic Web will create a more personalized dynamic course for individual students according to their ability, educational level, and experience.
- Research link
- key words
Adaptive Learning,
dotNetRDF,
Graph,
M-learning,
Ontology,
RDF,
Semantic Web,
Shortest Path,
Turtle,
User Profile
Research Learning Theories that Entail M-Learning Education Related to Computer Science and Engineering Courses.
- Research Summary
This research is outline and discusses learning theories and explains the importance of learning
theories concepts. Our paper presents the study of learning theories design and their requirements
for the computer science and engineering courses. Computer science and engineering courses are
different from other courses; these differences have to be considered during construction of the
content. Many learning theories suggested in literature need to be considered before construction of
the content is readily adapted to teaching. During the creation of Mobile courses we need to use
one or more of the learning theories to work as a group does deliver high quality of knowledge to
the learners. This is necessary so that the material will fulfill the specific goals of the course. In the
same way for creating the material of a course in M-learning, several learning theories will need to
be included. This paper describes the new roles of learning theories in M-learning education.
- Research link
- key words
M-learning
Learning Theories
Computer Science and Engineering Courses
Course Content
Research Learning Theories that Entail M-Learning Education Related to Computer Science and Engineering Courses.
- Research Summary
This research is outline and discusses learning theories and explains the importance of learning
theories concepts. Our paper presents the study of learning theories design and their requirements
for the computer science and engineering courses. Computer science and engineering courses are
different from other courses; these differences have to be considered during construction of the
content. Many learning theories suggested in literature need to be considered before construction of
the content is readily adapted to teaching. During the creation of Mobile courses we need to use
one or more of the learning theories to work as a group does deliver high quality of knowledge to
the learners. This is necessary so that the material will fulfill the specific goals of the course. In the
same way for creating the material of a course in M-learning, several learning theories will need to
be included. This paper describes the new roles of learning theories in M-learning education.
- Research link
- key words
M-learning
Learning Theories
Computer Science and Engineering Courses
Course Content
SEC-TEEN: A Secure Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks
- Research Summary
When Wireless sensor Networks are composed of a huge number of sensor nodes with limited energy resources, designing an energy efficient protocol will become a critical key issue that needs to be dealt with in order to expand the life span of the entire network. This paper proposes adding security features to the TEEN (Threshold sensitive Energy Efficient sensor Network) protocol by adopting the authentication part of the so-called SEC-LEACH (Secure Low Energy Adaptive Clustering Hierarchy) protocol. The paper then continues by showing how well this improvement goes by running experimental testing with multiple rounds. The new proposed SEC-TEEN improves the network security in and makes it more robust to external threats.
- Research link
- key words