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 …

Higher education institutions are moving to design and implement teacher-facing learning
analytics (LA) dashboards with the hope that instructors can extract deep insights about …

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

The design of effective learning analytics (LA) extends beyond sound technical and
pedagogical principles. If analytics are to be adopted and used successfully to support …

Participatory Design (PD), and Co-design (Co-D), can be effective ways to improve
technological innovation and to incorporate users' needs in the development of learning …

Designing for effective and efficient pedagogical interventions and orchestration in complex
technology-enhanced learning (TEL) ecosystems is an increasingly challenging issue …

Despite the potential of learning analytics (LA) to support teachers' everyday practice, its
adoption has not been fully embraced due to the limited involvement of teachers as co …

AI-powered educational technology that is designed to support teachers in providing
personalized instruction can enhance their ability to address the needs of individual …

Purpose In today's global and highly competitive climate among universities, educational
developers and instructors have focused more on trying to make the student experience …

Using data to generate a deeper understanding of collaborative learning is not new, but
automatically analyzing log data has enabled new means of identifying key indicators of …