Mining formative evaluation rules using learning portfolios for web-based learning systems

Learning performance assessment using learning portfolios is becoming an essential research issue in web-based learning, owing to the rapid growth of e-learning systems. This study presents a learning performance assessment scheme by combining four computational intelligence theories to identify the learning performance assessment rules using the web-based learning portfolios. Experimental results indicated that the evaluation results of the proposed scheme are very close to those of summative assessment results of grade levels. More significantly, teachers could understand the factors influencing learning performance in a web-based learning environment according to the obtained interpretable learning performance assessment rules.