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Yanjin Long
Yanjin Long
Ph.D. student at the Human Computer Interaction Institute, Carnegie Mellon University
Bestätigte E-Mail-Adresse bei andrew.cmu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Supporting students’ self-regulated learning with an open learner model in a linear equation tutor
Y Long, V Aleven
Artificial Intelligence in Education: 16th International Conference, AIED …, 2013
1112013
Enhancing learning outcomes through self-regulated learning support with an open learner model
Y Long, V Aleven
User Modeling and User-Adapted Interaction 27, 55-88, 2017
1002017
Gamification of joint student/system control over problem selection in a linear equation tutor
Y Long, V Aleven
Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014
992014
Educational game and intelligent tutoring system: A classroom study and comparative design analysis
Y Long, V Aleven
ACM Transactions on Computer-Human Interaction (TOCHI) 24 (3), 1-27, 2017
612017
Tutoring self-and co-regulation with intelligent tutoring systems to help students acquire better learning skills
I Roll, ES Wiese, Y Long, V Aleven, KR Koedinger
Design recommendations for intelligent tutoring systems 2, 169-182, 2014
542014
Students’ understanding of their student model
Y Long, V Aleven
Artificial Intelligence in Education: 15th International Conference, AIED …, 2011
412011
Mastery-oriented shared student/system control over problem selection in a linear equation tutor
Y Long, V Aleven
Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 2016
372016
Skill diaries: Improve student learning in an intelligent tutoring system with periodic self-assessment
Y Long, V Aleven
Artificial Intelligence in Education: 16th International Conference, AIED …, 2013
282013
Active learners: Redesigning an intelligent tutoring system to support self-regulated learning
Y Long, V Aleven
Scaling up Learning for Sustained Impact: 8th European Conference, on …, 2013
242013
Motivational design in an intelligent tutoring system that helps students make good task selection decisions
Y Long, Z Aman, V Aleven
Artificial Intelligence in Education: 17th International Conference, AIED …, 2015
192015
What exactly do students learn when they practice equation solving? refining knowledge components with the additive factors model
Y Long, K Holstein, V Aleven
Proceedings of the 8th International Conference on Learning Analytics and …, 2018
172018
Eliciting intelligent novice behaviors with grounded feedback in a fraction addition tutor
E Stampfer, Y Long, V Aleven, KR Koedinger
Artificial Intelligence in Education: 15th International Conference, AIED …, 2011
82011
Redefining" What" in Analyses of Who Does What in MOOCs.
A Baikadi, CD Epp, Y Long, C Schunn
EDM, 569-570, 2016
62016
Enhancing self-regulated learning through metacognitively-aware intelligent tutoring systems
B Goldberg, R Sottilare, I Roll, S Lajoie, E Poitras, G Biswas, JR Segedy, ...
Boulder, CO: International Society of the Learning Sciences, 2014
52014
Gamification of Support for Learning Effective Problem Selection Strategies in Intelligent Tutoring Systems
Y Long
Human Computer Interaction Institute, Pittsburgh, Carnegie Mellon University, 2014
42014
Personal informatics for self-regulated learning
R Muller, Y Long, KR Koedinger
Personal Informatics in Practice: Improving Quality of Life Through Data …, 2012
22012
Skill Diaries: Can Periodic Self-assessment Improve Students’ Learning with an Intelligent Tutoring System?
Y Long, V Aleven
Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012
12012
Enhancing Self-Regulated Learning through Metacognitively-Aware Intelligent Tutoring Systems
S Lajoie, E Poitras, S Lajoie, ES Wiese, Y Long, V Aleven, KR Koedinger, ...
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