International Conference on Learning Analytics in Asia

Toward Technology-Enhanced and Evidence-based Teaching and Learning

Unfortunately, in view of the continuing epidemic of the Novel Coronavirus (COVID-19), the LA-Asia 20 organization committee has decided to cancel the conference this year.

We will keep you up-to-date via the LA-Asia mailing list about future conferences and events in the Asian LA community.

It is very important to utilize data and evidence related to education and learning activities effectively in order to promote research for improving education and for nurturing human resources. The increasing amount of data generated in digital learning contexts provides opportunities to benefit from learning analytics as well as challenges related to interoperability, privacy, and pedagogical and organizational models. As a consequence, new methodologies and technological tools are necessary to analyze and make sense of these data and provide personalized scaffolding and services to stakeholders including students, faculty/teachers and administrators, as well as parents. Pedagogical and organizational models must also be incorporated in order to take advantage of the personalized scaffolding and services to ensure productive learning and teaching. In addition, access to data from different sources raises a number of concerns related to data sharing and interoperability, and protection of privacy for individuals and business interests for institutions.

As the field of learning analytics continues to mature, it is increasingly important to analyze evidence of effective LA implementations and facilitate dissemination through the community throughout Asia. This conference aims to bring together the LA community in Asia to discuss unique challenges faced in the region and foster developments in the field.

Conference Topics

We had welcome submissions on any of the following topics (though not restrictive):

- Making sense of learning analytics

- Software systems and tools

- Implementation and organizational development

- Pedagogical models and learning analytics

- Gathering and analyzing multimodal learning data

- Algorithms for analytics based on gathered data

- Predictive models, visualization and statistical analysis

- Privacy concerns and policy aspects related to LA

- Data sharing for learning analytics

- Evaluation and Assessment

- Standardization and Interoperability

- Challenges and approaches for scaling up LA in education practices

- Exploring critical factors that affect students’ learning performance

- Estimating the influence of prevention or intervention

- Psychology-supported learning analytics



We shall also separately publish a call for submission for special issue on Precise Education in Education Technology and Society Journal (deadline will be Sep 1, 2020),

Thank you for your support.