Systematic review on machine learning (ML) methods for manufacturing processes–Identifying artificial intelligence (AI) methods for field application

S Fahle, C Prinz, B Kuhlenkötter - Procedia CIRP, 2020 - Elsevier
Artificial Intelligence (AI) and especially machine learning (ML) become increasingly more
frequently applicable in factory operations. This paper presents a systematic review of …

Implementation of adaptive learning systems: Current state and potential

C Imhof, P Bergamin, S McGarrity - Online teaching and learning in higher …, 2020 - Springer
Adaptive learning systems have been on the rise ever since the beginnings of e-learning.
Their ability to provide instructions, guidance and content tailored towards learners' …

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 …

[KİTAP][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 …

Artificial intelligence in education

W Holmes - Encyclopedia of education and information …, 2020 - Springer
The effects of technology acceptance and innovation diffusion behaviors on information and
communications technology-enabled teaching/learning systems (ITLS) adoption attract …

Affective learning: Improving engagement and enhancing learning with affect-aware feedback

B Grawemeyer, M Mavrikis, W Holmes… - User Modeling and User …, 2017 - Springer
This paper describes the design and ecologically valid evaluation of a learner model that
lies at the heart of an intelligent learning environment called iTalk2Learn. A core objective of …

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 …

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

M Mavrikis, N Rummel, M Wiedmann, K Loibl… - … technology research and …, 2022 - Springer
Educational technologies in mathematics typically focus on fostering either procedural
knowledge by means of structured tasks or, less often, conceptual knowledge by means of …

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 …

Affecting off-task behaviour: how affect-aware feedback can improve student learning

B Grawemeyer, M Mavrikis, W Holmes… - Proceedings of the sixth …, 2016 - dl.acm.org
This paper describes the development and evaluation of an affect-aware intelligent support
component that is part of a learning environment known as iTalk2Learn. The intelligent …