Where's the reward? a review of reinforcement learning for instructional sequencing

S Doroudi, V Aleven, E Brunskill - International Journal of Artificial …, 2019 - Springer
Since the 1960s, researchers have been trying to optimize the sequencing of instructional
activities using the tools of reinforcement learning (RL) and sequential decision making …

Evolutionary computation approaches to the curriculum sequencing problem

S Al-Muhaideb, MEB Menai - Natural Computing, 2011 - Springer
Within the field of e-Learning, a learning path represents a match between a learner profile
and his preferences from one side, and the learning content presentation and the …

A difficulty ranking approach to personalization in E-learning

A Segal, K Gal, G Shani, B Shapira - International Journal of Human …, 2019 - Elsevier
The prevalence of e-learning systems and on-line courses has made educational material
widely accessible to students of varying abilities and backgrounds. There is thus a growing …

[PDF][PDF] Edurank: A collaborative filtering approach to personalization in e-learning

A Segal, Z Katzir, K Gal, G Shani, B Shapira - Educational Data Mining …, 2014 - Citeseer
The growing prevalence of e-learning systems and on-line courses has made educational
material widely accessible to students of varying abilities, backgrounds and styles. There is …

Combining difficulty ranking with multi-armed bandits to sequence educational content

A Segal, Y Ben David, JJ Williams, K Gal… - Artificial Intelligence in …, 2018 - Springer
We address the problem of how to personalize educational content to students in order to
maximize their learning gains over time. We present a new computational approach to this …

A framework of user-driven data analytics in the cloud for course management

J Zhang, WC TJHI, BS Lee, KK Lee… - … on Computers in …, 2010 - library.apsce.net
In this paper, we describe our goal of an effective course management system for assisting
course managers to make informed decisions about what materials should be most …

An ecological model of student interaction in online learning environments

GM Johnson, A Cooke - … of research on strategic management of …, 2016 - igi-global.com
Ecological theory conceptualized the student as surrounded by a series of environmental
systems and the processes of learning as interaction between the student (ie, bioecology) …

Personalization in Graphically Rich E-Learning Environments for K-6 Mathematics

B Levy, A Hershkovitz, M Tabach… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This report describes a randomized controlled study that compared the personalization of
educational content based on neural networks to personalization by human experts. The …

[PDF][PDF] Integrating human and machine intelligence for enhanced curriculum design

S Doroudi - PhD diss., Air Force Research Laboratory, 2019 - 128.2.220.86
From the mechanical teaching machines of the early twentieth century to the wave of
massive open online courses in recent years, many have been motivated by the dream of …

Coping with poor advice from peers in peer-based intelligent tutoring: The case of avoiding bad annotations of learning objects

J Champaign, J Zhang, R Cohen - … , UMAP 2011, Girona, Spain, July 11 …, 2011 - Springer
In this paper, we examine a challenge that arises in the application of peer-based tutoring:
coping with inappropriate advice from peers. We examine an environment where students …