Understanding privacy and data protection issues in learning analytics using a systematic review

Q Liu, M Khalil - British Journal of Educational Technology, 2023‏ - Wiley Online Library
The field of learning analytics has advanced from infancy stages into a more practical
domain, where tangible solutions are being implemented. Nevertheless, the field has …

Preserving Both Privacy and Utility in Learning Analytics

C Zhan, S Joksimovi, D Ladjal… - IEEE transactions on …, 2024‏ - ieeexplore.ieee.org
Data are fundamental to Learning Analytics (LA) research and practice. However, the ethical
use of data, particularly in terms of respecting learners' privacy rights, is a potential barrier …

Scaling while privacy preserving: a comprehensive synthetic tabular data generation and evaluation in learning analytics

Q Liu, M Khalil, J Jovanovic, R Shakya - Proceedings of the 14th …, 2024‏ - dl.acm.org
Privacy poses a significant obstacle to the progress of learning analytics (LA), presenting
challenges like inadequate anonymization and data misuse that current solutions struggle to …

Hybrid teaching intelligence: Lessons learned from an embodied mathematics learning experience

G Cosentino, J Anton, K Sharma… - British Journal of …, 2024‏ - Wiley Online Library
As AI increasingly enters classrooms, educational designers have begun investigating
students' learning processes vis‐à‐vis simultaneous feedback from active sources—AI and …

Data readiness for AI: A 360-degree survey

K Hiniduma, S Byna, JL Bez - arxiv preprint arxiv:2404.05779, 2024‏ - arxiv.org
Artificial Intelligence (AI) applications critically depend on data. Poor quality data produces
inaccurate and ineffective AI models that may lead to incorrect or unsafe use. Evaluation of …

[HTML][HTML] Anonymization procedures for tabular data: An explanatory technical and legal synthesis

R Aufschläger, J Folz, E März, J Guggumos, M Heigl… - Information, 2023‏ - mdpi.com
In the European Union, Data Controllers and Data Processors, who work with personal data,
have to comply with the General Data Protection Regulation and other applicable laws. This …

Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers' implicit biases

A Gauthier, S Rizvi, M Cukurova… - Frontiers in artificial …, 2022‏ - frontiersin.org
Data-driven technologies for education, such as artificial intelligence in education (AIEd)
systems, learning analytics dashboards, open learner models, and other applications, are …

Ai data readiness inspector (aidrin) for quantitative assessment of data readiness for ai

K Hiniduma, S Byna, JL Bez, R Madduri - Proceedings of the 36th …, 2024‏ - dl.acm.org
Garbage In Garbage Out is a universally agreed quote by computer scientists from various
domains, including Artificial Intelligence (AI). As data is the fuel for AI, models trained on low …

Impact of ML-LA feedback system on learners' academic performance, engagement and behavioral patterns in online collaborative learning environments: A lag …

H Yildiz Durak - Education and Information Technologies, 2025‏ - Springer
Feedback is critical in providing personalized information about educational processes and
supporting their performance in online collaborative learning environments. However, giving …

Technological frameworks on ethical and trustworthy learning analytics.

D Ladjal, S Joksimović… - British Journal of …, 2022‏ - search.ebscohost.com
The editors discuss reports published within the issue on topics including the Massive Open
Online Course Replication Framework, a safety-aware model for artificial intelligence (AI) …