The article Collaborative Mobile-Learning Architecture Based on Mobile Agents (2020) proposes a mobile learning (m-learning) application that uses ‘mobile agents’ which can assess, track, and report students’ progress and collaborative efforts while engaged in learning activities within or outside of the classroom. These mobile agents are combinations of software with data that can move between hosts. The proposed app consists of four components – a learner agent, a teacher agent, a device agent, and a social agent, each with a different component of mobile collaborative learning to analyze and communicate. In this study, participants using a prototype for mobile interaction reportedly liked a combination of in-person and mobile collaboration and reported that collaborative m-learning was useful and improved their knowledge compared to individual learning. The transhuman aspects of this prototype technology include the ability to personalize the learning for individuals as the ‘agents’ make assessments of individuals’ progress and interactions, as well as collection of in-time data used to adapt the learning scenarios and modify collaborative groupings.