Rianne Conijn
Computer Science Applications · 2017
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Science Applications — 11 citations into it
- Education — 9 citations into it
- Developmental and Educational Psychology — 5 citations into it
Whom Rianne Conijn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nick Z. Zacharis
- Leah P. Macfadyen
- Shane Dawson
- Dirk T. Tempelaar
- Á. F. Agudo-Peregrina
- Dragan Gasevic
- Sandeep M. Jayaprakash
- Maureen Conard
- Doug Clow
- M. Carter
Papers from Rianne Conijn's perspective
Ordered by how strongly the researchers Rianne Conijn trusts endorse each paper. Same corpus, a different order for every researcher.
- Mining LMS data to develop an "early warning system" for educators: A proof of concept (Comput. Educ.)
- Tracking student behavior, persistence, and achievement in online courses (Internet and Higher Education)
- The power of feedback. (Healthcare executive)
- Visible learning: a synthesis of over 800 meta‐analyses relating to achievement
- An overview of learning analytics
- Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning (Computers in Human Behavior)
- Aptitude is not enough: How personality and behavior predict academic performance.
- Big Five personality predictors of post-secondary academic performance
- Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative (Journal of Learning Analytics)
- In search for the most informative data for feedback generation: Learning analytics in a data-rich context (Computers in Human Behavior)