This paper presents the viewpoints of six international scholars who reflect on how they see mobile learning (ML) becoming its future self by reflecting on its past. Each scholar reflects on ML learning into the future with an eye to the evolving nature of ML theory, alternative philosophical perspectives, associated pedagogy and practice, design and research practices and methods in ML, and emerging technologies relevant to ML. Along the way, they explore the potential impact - both positive and negative of adoption and non-adoption of ML in education and life-long learning settings.