More recent motivational research focuses on the identification of effective techniques for enhancing instructional design and meeting the needs of diverse student populations (Wlodkowski R. J., 1981). Learning-motivation researchers are applying some of the same theories and concepts found to be effective in industry to the development of motivational models that enhance the teaching-learning environment. One of such models is the Attention Relevance Confidence Satisfaction (ARCS) model of motivational design developed by John M. Keller (Small Ruth V., 2007). The continuous improvement in handheld devices technologies has led to a new learning paradigm called mobile learning which involves the delivery of learning contents to learners utilizing mobile computing devices. Handheld devices, however, have constraints which limit their use for effective learning. Towards improving the effectiveness of mobile learning is a new mobile learning model proposed by Shih on which instructional designs for mobile learning can be based to facilitate mobile learning design and to achieve better mobile learning outcomes (Yushin E. Shih & Dennis Mills, 2007). Shih's model is based on Graphical User Interface (GUI). This paper presents an enhanced Shih's model for effective mobile learning outcome in a university environment by making provision for instructional design to include online library search for both e-books and audio books using collaborative filtering algorithm to aid the search and posting and reading of testimonials about positive mobile learning outcomes so as to encourage other mobile learners. It also incorporates the use of Voice User Interface (VUI) to access the learning portal in order to overcome mobile devices interface limitations in addition to Graphical User Interface (GUI) proposed by Shih, so as to cater for the learning needs of the blind and the visually impaired. (Contains 3 figures.)