Video-based learning is much effective and helpful in understanding the context and also supports adaptive learning. Adaptive learning provides the ability to personalize content to the learners, based on individual needs and understandings. Reflection in video-based learning is the most important concept to be considered for analysing the understanding ability, progress in learning and active engagement of learners during the video-based learning process. In order to evaluate the reflections, some automated tools can be used which accepts the feedback as input keywords and process it. In this study, various adaptive learning techniques and algorithms of different Learning Management Systems are analysed. Several assessment methods that helps to evaluate the learners’ capability are also studied.It is associated with the reflections provided by the learners that support to determine their cognitive ability. Furthermore, describes few more intelligent systems that recommend supplementary resources to improve the detail study of the specific topics. These kind of systems can be integrated to provide a better learning environment that enhances learners’knowledge level and develops interest in learning.