The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education
(AIED) offers new scalable, data-intensive systems but raises concerns about data privacy …

Learning analytics (LA) has demonstrated great potential in improving teaching quality,
learning experience and administrative efficiency. However, the adoption of LA in higher …

There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics
(FATE) of educational interventions supported by the use of Artificial Intelligence (AI) …

Background Formative assessments are vital for supporting learning and performance but
are also considered to increase the workload of teachers. As self‐assessments in higher …

Learning analytics (LA) as a research field has grown rapidly over the last decade. However,
adoption of LA is mostly found to be small in scale and isolated at the instructor level. This …

The process of using analytic data to inform instructional decision-making is acknowledged
to be complex; however, details of how it occurs in authentic teaching contexts have not …

Written communication is an important skill across academia, the workplace, and civic
participation. Effective writing incorporates instantiations of particular text structures …

Abstract Artificial Intelligence in Education (AIED) has been the focus of significant attention
in recent years because of its growing social importance and pedagogical value. In Hong …

Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing
and artificial intelligence algorithms to collect rich data about learning activities that unfold in …

It is arguably human nature—and most certainly bureaucratic nature—to want to quantify our
successes and failures. The ability to calculate a numerical value to represent the progress …