Intelligent techniques in e-learning: a literature review

M Ilić, V Mikić, L Kopanja, B Vesin - Artificial Intelligence Review, 2023 - Springer
Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …

Augmenting knowledge tracing by considering forgetting behavior

K Nagatani, Q Zhang, M Sato, YY Chen… - The world wide web …, 2019 - dl.acm.org
Computer-aided education systems are now seeking to provide each student with
personalized materials based on a student's individual knowledge. To provide suitable …

[图书][B] Bayesian psychometric modeling

R Levy, RJ Mislevy - 2017 - taylorfrancis.com
A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment
Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally …

[图书][B] Plan, activity, and intent recognition: Theory and practice

G Sukthankar, C Geib, HH Bui, D Pynadath… - 2014 - books.google.com
Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

Integrating learning, problem solving, and engagement in narrative-centered learning environments

JP Rowe, LR Shores, BW Mott… - International Journal of …, 2011 - content.iospress.com
A key promise of narrative-centered learning environments is the ability to make learning
engaging. However, there is concern that learning and engagement may be at odds in these …

Dynamic Bayesian networks in educational measurement: Reviewing and advancing the state of the field

R Reichenberg - Applied Measurement in Education, 2018 - Taylor & Francis
As the popularity of rich assessment scenarios increases so must the availability of
psychometric models capable of handling the resulting data. Dynamic Bayesian networks …

From log files to assessment metrics: Measuring students' science inquiry skills using educational data mining

JD Gobert, M Sao Pedro, J Raziuddin… - Journal of the Learning …, 2013 - Taylor & Francis
We present a method for assessing science inquiry performance, specifically for the inquiry
skill of designing and conducting experiments, using educational data mining on students' …

Adaptivity challenges in games and simulations: a survey

R Lopes, R Bidarra - … on Computational Intelligence and AI in …, 2011 - ieeexplore.ieee.org
In computer games and simulations, content is often rather static and rigid. As a result, its
prescripted nature can lead to predictable and impersonal gameplay, while alienating …

Leveraging educational data mining for real-time performance assessment of scientific inquiry skills within microworlds.

JD Gobert, MA Sao Pedro, RSJD Baker, E Toto… - Journal of Educational …, 2012 - ERIC
We present" Science Assistments," an interactive environment, which assesses students'
inquiry skills as they engage in inquiry using science microworlds. We frame our variables …

Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with Crystal Island

M Taub, NV Mudrick, R Azevedo, GC Millar… - Computers in Human …, 2017 - Elsevier
Game-based learning environments (GBLEs) have been touted as the solution for failing
educational outcomes. In this study, we address some of these major issues by using multi …