Disruptive changes in learning and instruction through emerging technologies require new perspectives for the design and development of learning environments. Closely linked to the demand of new approaches for designing and developing learning environments is the necessity for enhancing the design and delivery of assessment systems and automated computer-based diagnostics. These systems need to accomplish specific requirements, such as adaptivity to different subject domains, flexibility for experimental and instructional settings, managing huge amounts of data, rapid and (near) real-time analysis of specific data, immediate feedback for learners, educators and learning designers, as well as generating automated reports of the diagnostics’ results. Further, sophisticated databases and network technologies contribute an especially wide variety of applications for technology-enhanced assessment. Hence, given the recent developments in educational data mining and learning analytics, technology-enhanced assessment may improve on-going learning through providing instant and rich feedback on the current stage of the learning process. This track aims to provide insights into the latest developments of research focusing on technology-enhanced assessment in formal and informal education.