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Name
Affiliation
Papers
DAVIDE FOSSATI
University of Illinois at Chicago, Chicago, IL
29
Collaborators
Citations
PageRank
31
170
19.62
Referers
Referees
References
311
455
290
Search Limit
100
455
Publications (29 rows)
Collaborators (31 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Practice Exams and Student Performance in Introductory Programming.
0
0.34
2020
Collaborative Intelligent Tutoring Systems: Comparing Learner Outcomes Across Varying Collaboration Feedback Strategies.
0
0.34
2017
Interactions of Individual and Pair Programmers with an Intelligent Tutoring System for Computer Science.
3
0.43
2017
Integrating Support for Collaboration in a Computer Science Intelligent Tutoring System.
1
0.36
2016
Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System.
0
0.34
2016
Collab-ChiQat: A Collaborative Remaking of a Computer Science Intelligent Tutoring System.
1
0.36
2016
Incorporating Analogies and Worked Out Examples as Pedagogical Strategies in a Computer Science Tutoring System.
0
0.34
2016
A Scalable Intelligent Tutoring System Framework for Computer Science Education.
5
0.94
2015
Worked-out Examples in a Computer Science Intelligent Tutoring System
2
0.48
2015
Affect detection from non-stationary physiological data using ensemble classifiers
6
0.42
2015
A Study of Analogy in Computer Science Tutorial Dialogues.
1
0.39
2015
A Hybrid Model for Teaching Recursion
1
0.39
2015
Affect Detection and Classification from the Non-stationary Physiological Data
1
0.34
2013
Towards improving programming habits to create better computer science course outcomes
12
0.65
2013
Worked Out Examples in Computer Science Tutoring.
5
0.84
2013
Exploring effective dialogue act sequences in one-on-one computer science tutoring dialogues
3
0.50
2011
The use of evidence in the change making process of computer science educators
6
0.97
2011
Generating proactive feedback to help students stay on track
6
0.70
2010
Supporting Computer Science Curriculum: Exploring and Learning Linked Lists with iList
10
1.12
2009
I learn from you, you learn from me: How to make iList learn from students
20
2.12
2009
Simple but effective feedback generation to tutor abstract problem solving
0
0.34
2008
I saw TREE trees in the park: How to Correct Real-Word Spelling Mistakes
11
0.70
2008
Learning Linked Lists: Experiments with the iList System
12
0.92
2008
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
4
0.48
2008
The role of positive feedback in intelligent tutoring systems
3
0.62
2008
Beyond the code-and-count analysis of tutoring dialogues
16
1.10
2007
A Mixed Trigrams Approach for Context Sensitive Spell Checking
15
0.83
2007
Aggregation improves learning: experiments in natural language generation for intelligent tutoring systems
16
1.04
2005
Natural Language Generation for Intelligent Tutoring Systems: a case study
10
1.23
2005
1