Learner modelling: systematic review of the literature from the last 5 years

A Abyaa, M Khalidi Idrissi, S Bennani - Educational Technology Research …, 2019 - Springer
The field of adaptive e-learning is continuously developing. More research is being
conducted in this area as adaptive e-learning aims to provide learners with adaptive …

Instruction based on adaptive learning technologies

V Aleven, EA McLaughlin, RA Glenn… - Handbook of research …, 2016 - taylorfrancis.com
A common intuition is that instruction is most effective if it takes into account (a) that learners
are different, and (b) that they change as they learn. But learners differ in a great many ways …

[图书][B] Handbook of research on learning and instruction

RE Mayer, PA Alexander - 2011 - api.taylorfrancis.com
How do people learn in subject areas, such as reading, writing, mathematics, science, and
history, and how can we help people learn, using instructional methods such as feedback …

A proposed architectural learner model for a personalized learning environment

Y Bellarhmouch, A Jeghal, H Tairi… - Education and Information …, 2023 - Springer
Nowadays, the need for e-learning is amplified, especially after the Covid-19 pandemic. E-
learning platforms present a solution for the continuity of the learning process. Learners are …

“Thanks Alisha, keep in touch”: Gender effects and engagement with virtual learning companions

LG Pezzullo, JB Wiggins, MH Frankosky, W Min… - Artificial Intelligence in …, 2017 - Springer
Virtual learning companions have shown significant potential for supporting students.
However, there appear to be gender differences in their effectiveness. In order to support all …

Reimagining education with artificial intelligence

Y Yildirim, EA Arslan, K Yildirim, I Bisen - Eurasian Journal of Higher …, 2021 - londonic.uk
Artificial intelligence (AI) technologies have been implemented successfully in many
industries, from virtual hospital assistants to algorithm-based warehouse processing. And …

# confused and beyond: Detecting confusion in course forums using students' hashtags

SA Geller, N Hoernle, K Gal, A Segal… - Proceedings of the …, 2020 - dl.acm.org
Students' confusion is a barrier for learning, contributing to loss of motivation and to
disengagement with course materials. However, detecting students' confusion in large-scale …

New methods for confusion detection in course forums: student, teacher, and machine

SA Geller, K Gal, A Segal, K Sripathi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article provides computational and rule-based approaches for detecting confusion that
is expressed in students' comments in couse forums. To obtain reliable, ground truth data …

[HTML][HTML] Memory-Based Dynamic Bayesian Networks for Learner Modeling: Towards Early Prediction of Learners' Performance in Computational Thinking

D Hooshyar, MJ Druzdzel - Education Sciences, 2024 - mdpi.com
Artificial intelligence (AI) has demonstrated significant potential in addressing educational
challenges in digital learning. Despite this potential, there are still concerns about the …

Combining exploratory learning with structured practice to foster conceptual and procedural fractions knowledge

N Rummel, M Mavrikis, M Wiedmann, K Loibl… - 2016 - repository.isls.org
Robust domain knowledge consists of conceptual and procedural knowledge. The two types
of knowledge develop together, but are fostered by different learning tasks. Exploratory tasks …