Instructional Path Optimization
Instructional Path Optimization is a computational framework that systematically tailors educational content sequences to individual learners by dynamically aligning pedagogical objectives with learner-specific cognitive, affective, and performance states to maximize learning efficiency and outcomes.
13
Publications
351
Citations
26
Authors
13
Institutions
Publications per year
2017–2026
4
Parents
13
Models for optimizing the learning process.
Guy J. Groen, R. C. Atkinson · Psychological Bulletin · 1966 · 57 citations · Full text
1–5 of 13
26
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 26
13

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
6 publications
162 citations
Stanford University
Stanford, United States
2 h-index
3 publications
97 citations

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
35 citations

Oakland University
Rochester, United States
1 h-index
1 publications
12 citations

University of Twente
Enschede, The Netherlands
1 h-index
1 publications
14 citations
Xinjiang Institute of Engineering
Ürümqi, China
1 h-index
1 publications
19 citations
Université Ibn-Tofail
Kenitra, Morocco
1 h-index
3 publications
45 citations
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Chennai, India
1 h-index
1 publications
75 citations
1–8 of 13
JCE · 1 publications · 32 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 75 citations
1
h-index
IJCEELL · 1 publications · 19 citations
1
h-index
1 publications · 20 citations
1
h-index
1–5