Automatic concept extraction for domain and student modeling in adaptive textbooks

H Chau, I Labutov, K Thaker, D He… - International Journal of …, 2021 - Springer
The increasing popularity of digital textbooks as a new learning media has resulted in a
growing interest in develo** a new generation of adaptive textbooks that can help readers …

[PDF][PDF] Recent advances in intelligent textbooks for better learning

B Jiang, M Gu, Y Du - Learning: Designing the Future, 2023 - library.oapen.org
Intelligent textbooks embed digital textbooks with intelligent tutoring technologies to provide
intelligent reading support to students. Intelligent textbooks not only provide interactions that …

Domain modeling for AIED systems with connections to modeling student knowledge: A review

V Aleven, J Rowe, Y Huang… - Handbook of Artificial …, 2023 - elgaronline.com
A central component of many AIED systems is a “domain model,” that is, a representation of
knowledge of the domain of instruction. The system uses the model in many ways to provide …

E-book user modelling through learning analytics: the case of learner engagement and reading styles

I Boticki, G Akçapınar, H Ogata - Interactive Learning Environments, 2019 - Taylor & Francis
In this paper log data on e-book usage is used as part of a learning analytics approach to
generate user models which describe university students' characteristics in multiple …

Plastic gating network: Adapting to personal development and individual differences in knowledge tracing

Z Li, S Yu, Y Lu, P Chen - Information Sciences, 2023 - Elsevier
Abstract Knowledge tracing (KT) refers to the issue of predicting learners' knowledge states
based on their learning history and is the core technology for computer-assisted adaptive …

[PDF][PDF] Dynamic knowledge modeling with heterogeneous activities for adaptive textbooks

K Thaker, Y Huang, P Brusilovsky, D He - Proceedings of the 11th …, 2018 - sites.pitt.edu
Adaptive online textbooks could be considered as one of the oldest technologies of
personalized Web-based learning [Hen+ 99; WB01; Kav04]. A gradual shift to electronic …

Semi-supervised techniques for mining learning outcomes and prerequisites

I Labutov, Y Huang, P Brusilovsky, D He - Proceedings of the 23rd ACM …, 2017 - dl.acm.org
Educational content of today no longer only resides in textbooks and classrooms; more and
more learning material is found in a free, accessible form on the Internet. Our long-standing …

A scalable heterogeneous big data framework for e-learning systems

D Otoo-Arthur, TL van Zyl - 2020 international conference on …, 2020 - ieeexplore.ieee.org
The adoption of e-learning systems in higher education is a remarkable phenomenon that
has redefined teaching and learning. Initially, it was proposed to allow people to learn for …

Knowledge annotation for intelligent textbooks

M Wang, H Chau, K Thaker, P Brusilovsky… - … , Knowledge and Learning, 2023 - Springer
With the increased popularity of electronic textbooks, there is a growing interest in
develo** a new generation of “intelligent textbooks,” which have the ability to guide …

Exploring student approaches to learning through sequence analysis of reading logs

G Akçapinar, MRA Chen, R Majumdar… - Proceedings of the …, 2020 - dl.acm.org
In this paper, we aim to explore students' study approaches (eg, deep, strategic, surface)
from the logs collected by an electronic textbook (eBook) system. Data was collected from 89 …