In recent years, the academic industry has seen a widespread development of digital technology and learning analytics. Certainly, the exchange of automatic processing has opened a broad set of new ways and opportunities, allowing additional emphasis on interaction and connectivity. This new learning approach provides improvement in the development of the learning process, as well as developing predictive analytics uses, applied guidelines for effective and efficient efforts, and aligning educational decisions processes toward better ways of learning systems. Learning analytics is defined as "an emerging area that explores the measurement, collection, analysis and reporting of data which is associated with students' learning and their environment" (Park & Jo, 2015, p. 110). On the other hand, the term "dashboard" has come to be known as "a visual display mechanism to enable users at every level to receive the information they need to make better decisions that improve learning performance" (Ponniah, 2010, p. 559). Nowadays, when combining both applications, learning analytics dashboards are "an interactive, historical, personalized, and analytical monitoring display that reflects students' learning patterns, status, performance, and interaction" (Park & Jo, 2015, p. 112). For the past decade, these learning analytics dashboards have been trailblazers in the field of educational technology and online instruction. The development of a robust learning architecture framework of learning analytics is an important move to improve digital learning experiences and opportunities. Without a doubt, it maximizes the delivery of higher education outcomes and accommodates evolving educational needs. This article discusses new trends and innovation in the learning process; the application and use of a predictive tool in e-learning platforms; and the use of dashboards to improve the learning process in higher education.