Literacy adult courses are traditionally delivered as synchronous face-to-face courses. Mobile technology introduced into literacy education enables a blended approach to learning by allowing for time and place flexibility. Literacy Uplift is a research project that aims to define design guidelines and principles for a mobile adult literacy learning system. Tabuenca, Kalz, Drachsler, and Specht (2015) explore the importance of tracking and monitoring time devoted to learning with mobile tools and their effect on self-regulated learning. Their work shows that there is a positive correlation between self-regulated learning and monitoring study-time, as well as between self-regulated learning and study-time planning. These authors also noticed that complexity of the tool has a negative impact on a learner’s ability to use and integrate the tool into their schedule, hence forfeiting the benefits of the monitoring. With tools such as Experience API (xAPI) integrated into the system, time monitoring and logging can be done automatically without additional actions from the learner beyond giving one-time permission. Time spent on learning as well as other learner analytics can be visualized using various tools. These tools can not only show individual progress, but can also present the learner’s situation within the context of a group when possible. Such information, combined with positive reinforcement through notifications and reminders, can be very motivating. As reported by Tabuenca et al. (2015), notifications and reminders have a positive impact on learner results. These authors suggest that notifications containing learning analytics and generic tips on self-regulation may positively influence time management skills and, as a result, improve the learner’s ability to incorporate learning episodes into everyday life. Such reminders create occasional “stop and think” moments that, if containing adequately contextualized messages, can support learners in the capacity of learning to learn, especially when these notifications are combined with suitable visualizations. Tang and Kay (2014) claim that rewards and reward schedules are powerful techniques that can engage users in self-monitoring and reflection. Providing possibilities for the learner to see how they do in comparison to other learners in their course can encourage the learner to self-monitor more closely, and develop the habit to maintain this behaviour over time (Zichermann & Cunningham, 2011). In this presentation, we analyze the design guidelines for a mobile adult literacy learning solution, focusing on the self-regulation and self-motivation elements required for successful learning using a blended learning approach. The analysis also points to potential technological solutions that can support implementation of these guidelines. Time tracking and reminders, visualization tools, and gamification elements as motivation and guidance tools in self-regulated learning are also discussed.