Recent research regarding personalized web based educational systems demonstrate learners' motivation to be an essential component of the learning model. This is due to the fact that low motivation results in either students' less engagement or complete drop out from the learning activities. A learner motivation model is considered to be a set of perceptions and beliefs that the system has developed about a learner. This includes both short-term and long-term motivation of learners. Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of continuing commitment that is required to complete assigned task. Since, short-term motivational problems span for a limited period of time such as a session, therefore, needs to be addressed in real-time to keep the learner engaged in the learning process. This paper proposes the framework of a domain independent short-term learner motivation model based on Keller ARCS motivation theory and Social Cognitive Theory. The proposed motivation identification framework consists of two modules. The primary module deals with real time identification of motivation, and the secondary module maintains the profile of learners associated with the short-term motivation. [For the full proceedings, see ED621620.]