AFTER

Call For Papers

The ICLAHED emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Learning Analytics In Higher Education are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Learning analytics for student success
Data-driven decision making in education
Ethics of learning analytics in higher education
Predictive analytics for student retention
Visualizing learning data for educators
Impact of analytics on teaching practices
Integrating learning analytics into curriculum
Challenges in implementing learning analytics
Case studies of successful analytics applications
Student privacy concerns in data usage
Learning analytics and personalized learning
Tools and technologies for learning analytics
Faculty training in data interpretation
Interpreting learning analytics for diverse learners
Future trends in learning analytics
Collaboration between educators and data scientists
Learning analytics in online education
Evaluating the effectiveness of analytics interventions
Global perspectives on learning analytics
Innovative applications of learning analytics

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.