Abstract:
Recently, demand for database programming specialists has greatly
increased in Kenya. These professionals play a key role in the computing and
software development industries. Although database programming skills are key
fundamentals for learners in computing disciplines, skills mastery by students is still
not easy. For these reasons, this study establishes an adaptive remedial learning
model to assist learners in their quest of gaining skills online. The proposed solution
adopts the use of fuzzy logic theory to create an appropriate learning path based on
the learners’ prior concepts miscomprehensions. This technique selects a suitable
remedial materials for learners after constructing a learning path based on the
learners’ preference. After evaluation of the model through conducting several
experiments, it is proposed that it can be used to offer a comprehensive and stable
remedial learning environment for any LMS. Analysis of the model by learners
confirm that it has achieved the effects of remedial and adaptive learning.
