University of Hertfordshire

By the same authors

The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems. / Wakelam, Edward; Jefferies, Amanda; Davey, N.; Sun, Yi.

ECEL 2015 Conference proceedings. 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Wakelam, E, Jefferies, A, Davey, N & Sun, Y 2015, The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems. in ECEL 2015 Conference proceedings. ECEL 2015, Hatfield, United Kingdom, 29/10/15.

APA

Vancouver

Author

Wakelam, Edward ; Jefferies, Amanda ; Davey, N. ; Sun, Yi. / The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems. ECEL 2015 Conference proceedings. 2015.

Bibtex

@inproceedings{b50c0d8fb8794cffa08ac7ab783f62b9,
title = "The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems",
abstract = "There has been significant progress in the development of techniques to deliver more effective e-Learning systems in both education and commerce but our research has identified very few examples of comprehensive learning systems that exploit contemporary artificial intelligence (AI) techniques. We have surveyed existing intelligent learning/training systems and explored the contemporary AI techniques which appear to offer the most promising contributions to e-Learning. We have considered the non-technological challenges to be addressed and considered those factors which will allow step change progress. With the convergence of several of the required components for success increasingly in place we believe that the opportunity to make this progress is now much stronger. We present a description of the fundamental components of an adaptive learning system designed to fulfill the objectives of the teacher and to develop a close relationship with the learner, monitoring and adjusting the teaching based upon a wide variety of analyses of their knowledge and performance. This is an important area for future research with the opportunity to deliver significant value to both education and commerce. The development of improved learning systems in conjunction with trainers, teachers and subject matter experts will provide benefits to educational institutions and help commercial organisations to face critical challenges in the training, development and retention of the key skills required to address new, emerging technologies and business models.",
keywords = "Adaptive learning systems, evaluation of intelligent tools, adoption of e-Learning by teachers and learners, education and career training, artificial intelligence",
author = "Edward Wakelam and Amanda Jefferies and N. Davey and Yi Sun",
year = "2015",
month = oct,
language = "English",
booktitle = "ECEL 2015 Conference proceedings",
note = "ECEL 2015 ; Conference date: 29-10-2015 Through 30-10-2015",

}

RIS

TY - GEN

T1 - The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems

AU - Wakelam, Edward

AU - Jefferies, Amanda

AU - Davey, N.

AU - Sun, Yi

PY - 2015/10

Y1 - 2015/10

N2 - There has been significant progress in the development of techniques to deliver more effective e-Learning systems in both education and commerce but our research has identified very few examples of comprehensive learning systems that exploit contemporary artificial intelligence (AI) techniques. We have surveyed existing intelligent learning/training systems and explored the contemporary AI techniques which appear to offer the most promising contributions to e-Learning. We have considered the non-technological challenges to be addressed and considered those factors which will allow step change progress. With the convergence of several of the required components for success increasingly in place we believe that the opportunity to make this progress is now much stronger. We present a description of the fundamental components of an adaptive learning system designed to fulfill the objectives of the teacher and to develop a close relationship with the learner, monitoring and adjusting the teaching based upon a wide variety of analyses of their knowledge and performance. This is an important area for future research with the opportunity to deliver significant value to both education and commerce. The development of improved learning systems in conjunction with trainers, teachers and subject matter experts will provide benefits to educational institutions and help commercial organisations to face critical challenges in the training, development and retention of the key skills required to address new, emerging technologies and business models.

AB - There has been significant progress in the development of techniques to deliver more effective e-Learning systems in both education and commerce but our research has identified very few examples of comprehensive learning systems that exploit contemporary artificial intelligence (AI) techniques. We have surveyed existing intelligent learning/training systems and explored the contemporary AI techniques which appear to offer the most promising contributions to e-Learning. We have considered the non-technological challenges to be addressed and considered those factors which will allow step change progress. With the convergence of several of the required components for success increasingly in place we believe that the opportunity to make this progress is now much stronger. We present a description of the fundamental components of an adaptive learning system designed to fulfill the objectives of the teacher and to develop a close relationship with the learner, monitoring and adjusting the teaching based upon a wide variety of analyses of their knowledge and performance. This is an important area for future research with the opportunity to deliver significant value to both education and commerce. The development of improved learning systems in conjunction with trainers, teachers and subject matter experts will provide benefits to educational institutions and help commercial organisations to face critical challenges in the training, development and retention of the key skills required to address new, emerging technologies and business models.

KW - Adaptive learning systems, evaluation of intelligent tools, adoption of e-Learning by teachers and learners, education and career training, artificial intelligence

M3 - Conference contribution

BT - ECEL 2015 Conference proceedings

T2 - ECEL 2015

Y2 - 29 October 2015 through 30 October 2015

ER -