Student modelling and agent classified rules learning as applied in the development of the intelligent Preassessment System has been presented in [10],[11]. In this paper, we now demystify the theory behind the development of the pre-assessment system followed by some computational experimentation and graph visualisation of the agent classified rules learning algorithm in the estimation and prediction of classified rules. In addition, we present some preliminary results of the pre-assessment system evaluation. From the results, it is gathered that the system has performed according to its design specification
Pedagogical Agents are intelligent agents supporting learning in virtual learning environments, VLE....
This thesis studies how Artificial Intelligence algorithms can assess university students’ competenc...
As Machine Learning and Artificial Intelligence progress, more complex tasks can be addressed, quite...
Student modelling and agent classified rules learning as applied in the development of the intellige...
To model support for human learning, rules (i.e. triggering event-conditions-actions) can be classi...
Diagnostic assessment is an important part of human learning. Tutors in face-to-face classroom envir...
Diagnostic assessment is a vital and effective strategy in any teaching-learning process such that i...
Objects or structures that are regular take uniform dimensions. Based on the concepts of regular mod...
Pedagogical Agents are intelligent agents supporting learning in virtual learning environments...
Environmental monitoring for extraction of learner’s features and accurately learner modeling is a t...
Since the beginning of research in AI, several attempts have been made to construct Intelligent Tuto...
As machine learning (ML) and artificial intelligence progress, more complex tasks can be addressed, ...
Group development is the first and most important step for the success of collaborative problem solv...
Applying intelligent agent technologies to support human learning activities has been the subject of...
International audienceThe growth of online learning, enabled by the availability on the Internet of ...
Pedagogical Agents are intelligent agents supporting learning in virtual learning environments, VLE....
This thesis studies how Artificial Intelligence algorithms can assess university students’ competenc...
As Machine Learning and Artificial Intelligence progress, more complex tasks can be addressed, quite...
Student modelling and agent classified rules learning as applied in the development of the intellige...
To model support for human learning, rules (i.e. triggering event-conditions-actions) can be classi...
Diagnostic assessment is an important part of human learning. Tutors in face-to-face classroom envir...
Diagnostic assessment is a vital and effective strategy in any teaching-learning process such that i...
Objects or structures that are regular take uniform dimensions. Based on the concepts of regular mod...
Pedagogical Agents are intelligent agents supporting learning in virtual learning environments...
Environmental monitoring for extraction of learner’s features and accurately learner modeling is a t...
Since the beginning of research in AI, several attempts have been made to construct Intelligent Tuto...
As machine learning (ML) and artificial intelligence progress, more complex tasks can be addressed, ...
Group development is the first and most important step for the success of collaborative problem solv...
Applying intelligent agent technologies to support human learning activities has been the subject of...
International audienceThe growth of online learning, enabled by the availability on the Internet of ...
Pedagogical Agents are intelligent agents supporting learning in virtual learning environments, VLE....
This thesis studies how Artificial Intelligence algorithms can assess university students’ competenc...
As Machine Learning and Artificial Intelligence progress, more complex tasks can be addressed, quite...