IEEE Transactions on Learning Technologies. Special Issue on : "Real-World Applications of Intelligent Tutoring Systems"
The IEEE Transactions on Learning Technologies seeks original manuscripts for a Special Issue on Real-World Applications of Intelligent Tutoring Systems scheduled to appear in the April-June issue of 2009.
Intelligent Tutoring Systems (ITS) appeared during the 70's, most driven by the success of Knowledge-based Systems and Expert Systems. ITS are able to instruct and train students and professionals without the intervention of human beings. ITS introduce a set of ideas like the domain knowledge representation, most of times derived from a previous Expert System project, allowing the possibility to reason and explain automatically on domain problems. Developments were made in trainees' models, instructional and pedagogical planning, and user interface. In the 90's, with the web boom, some ITS ideas were incorporated in new computer-aided instruction paradigms, like e-learning, distributed learning, and more recently in learning objects. However there is a clear difference since these learning concepts are more centred in the interaction with the instructor.
ITS are a good example of the use and combination of Artificial Intelligence techniques. Besides expert systems, other areas like natural language, machine learning, planning, multi-agent systems, ontologies, semantic web, social and emotional computing have been used with success in ITS.
On the last years ITS have experimented a meaningful development. Many systems were developed and deployed, even for critical and complex domains. The reported benefits experimented by the users of these systems are impressive. ITS-taught trainees generally learn faster and translate the learning into improved performance better than classroom-trained participants. Today, ITS can be produced by authoring tools, and specific evaluation and assessment methods can be used.
Papers submitted to this special issue must follow the criteria used by IEEE Transactions on Learning Technologies and defined by the nature of this special issue, namely by covering the following mandatory items:
- presenting original research;
- offering a critical review of the state of the art in the field;
- illustrating the application of the described ITS in real-world cases;
- using Artificial Intelligence methods and techniques in the described ITS.
Submitted articles must not have been previously published or be currently submitted for journal publication elsewhere. As an author, you are responsible for understanding and adhering to our submission guidelines.
The journal is now accepting submissions for this special issue through Manuscript Central at https://mc.manuscriptcentral.com/tlt-cs, which provides instructions about formatting and length. If you have any questions, please contact the Peer Review Associate Manager, Jennifer Carruth, at email@example.com or the guest editors at the addresses listed below.
o 28 Dec. 2009: Deadline to submit a full paper.
o 15 Feb. 2009: Authors notified of acceptance, rejection, or needed revisions.
o 1 Mar. 2009: Revisions due.
o 15 Mar. 2009: Notification of final acceptance.
o 22 Mar. 2009: Final versions due.