We are pleased to announce a call for papers for a special session on Learning Analytics at the upcoming IEEE International Conference on IT in Higher Education and Training. This session will focus on the intersection of information technology and educational data to improve learning processes, outcomes, and experiences.
Topics of Interest:
Contributions are invited in the areas of (but not limited to):
- Case studies on the implementation of learning analytics in higher education
- Predictive analytics for student performance and learning outcomes
- Personalized and adaptive learning systems
- Ethical, privacy, and legal issues in learning analytics
- Analysis of multimodal data to understand and enhance student learning experiences
Submission Guidelines:
Participants are encouraged to submit full papers, position papers, or case studies that conform to the IEEE format and submission guidelines. Each submission must be original, unpublished work and should not be under consideration for publication elsewhere.
Important Dates:
- Submit Full Papers: 20/8/2024
- Accept Full Papers: 15/9/2024
- Submit Final Paper: 11/10/2024
- Conference first day: 6/11/2024
- Publish Program: 11/10/2024
Submission Process:
Papers should be submitted electronically through the conference’s submission portal. Select the option for the “Special Session on Learning Analytics” during submission. For more information on the conference itself please refer to the ITHET Homepage.
Session Chairs:
- Prof. Dr.-Ing. Dieter Uckelmann, Stuttgart University of Applied Sciences (HFT)
- Prof. Dr. Ulrike Pado, Stuttgart University of Applied Sciences (HFT)
- Prof. Dr. Tobias Popović, Stuttgart University of Applied Sciences (HFT)
- Dr. Tatyana Podgayetskaya, Stuttgart University of Applied Sciences (HFT)
We invite academics and researchers to submit their latest work and join us in a discussion that aims to
harness the power of LA to transform higher education. For any queries regarding the submission or
session details, please contact the session chairs at knight@hft-stuttgart.de.
Please distribute this call among your networks and colleagues who might be interested in participating.