ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Beautiful Evidence
How did the e-learning session go? The Student Inspector
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Narcissus: Group and Individual Models to Support Small Group Work
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
A qualitative evaluation of evolution of a learning analytics tool
Computers & Education
Attention please!: learning analytics for visualization and recommendation
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Dataset-driven research for improving recommender systems for learning
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Using learning analytics to assess students' behavior in open-ended programming tasks
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Stepping out of the box: towards analytics outside the learning management system
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Using student and group models to support teachers in web-based distance education
UM'05 Proceedings of the 10th international conference on User Modeling
The student activity meter for awareness and self-reflection
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Where learning analytics meets learning design
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Social learning analytics: five approaches
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Goal-oriented visualizations of activity tracking: a case study with engineering students
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Student success system: risk analytics and data visualization using ensembles of predictive models
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
GLASS: a learning analytics visualization tool
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Educational monitoring tool based on faceted browsing and data portraits
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Clustering by usage: higher order co-occurrences of learning objects
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Probability estimation and a competence model for rule based e-tutoring systems
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Course correction: using analytics to predict course success
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Course signals at Purdue: using learning analytics to increase student success
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
What should i read next?: awareness of relevant publications through a community of practice
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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This paper reports on our research on the use of learning analytics dashboards to support awareness, self-reflection, sensemaking and impact for learners. So far, little research has been done to evaluate such dashboards with students and to assess their impact on learning. In this paper, we present the results of an evaluation study of our dashboard, called StepUp!, and the extent to which it addresses issues and needs of our students. Through brainstorming sessions with our students, we identified and prioritized learning issues and needs. In a second step, we deployed StepUp! during one month and we evaluated to which extent our dashboard addresses the issues and needs identified earlier in different courses. The results show that our tool has potentially higher impact for students working in groups and sharing a topic than students working individually on different topics.