An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning

JJ Castro-Schez, C Glez-Morcillo, J Albusac… - Information Sciences, 2021 - Elsevier
The way in which people learn and institutions teach is changing due to the ever-increasing
impact of technology. People access the Internet anywhere, anytime and request online …

Six instructional approaches supported in AIED systems

V Aleven, M Mavrikis, BM McLaren… - Handbook of artificial …, 2023 - elgaronline.com
Six instructional approaches supported in AIED systems 185 range of instructional
approaches that have been implemented and studied within the field of AIED. Our sampling …

Exploring the impact of worked examples in a novice programming environment

R Zhi, TW Price, S Marwan, A Milliken… - Proceedings of the 50th …, 2019 - dl.acm.org
Research in a variety of domains has shown that viewing worked examples (WEs) can be a
more efficient way to learn than solving equivalent problems. We designed a Peer Code …

[PDF][PDF] Die web-basierte Bürosimulation LUCA–funktionen, einsatzmöglichkeiten und forschungsausblick

A Rausch, V Deutscher, J Seifried… - … für Berufs-und …, 2021 - madoc.bib.uni-mannheim.de
Digitalisierung spielt für die kaufmännische Ausbildung eine zweifache Rolle. Die
Digitalisierung kaufmännischer Tätigkeiten führt dazu, dass Routinetätigkeiten wegfallen …

Avoiding help avoidance: Using interface design changes to promote unsolicited hint usage in an intelligent tutor

M Maniktala, C Cody, T Barnes, M Chi - International Journal of Artificial …, 2020 - Springer
Within intelligent tutoring systems, considerable research has investigated hints, including
how to generate data-driven hints, what hint content to present, and when to provide hints for …

[PDF][PDF] Artificial intelligence and machine learning: an instructor's exoskeleton in the future of education

SE August, A Tsaima - Innovative Learning Environments in STEM …, 2021 - library.oapen.org
Technology is transforming how we solve complex problems, as well as how we share
information. In this chapter, we look at an innovative learning environment from the …

[图书][B] Intelligent support for computer science education: Pedagogy enhanced by artificial intelligence

B Di Eugenio, D Fossati, N Green - 2021 - books.google.com
Intelligent Support for Computer Science Education presents the authors' research journey
into the effectiveness of human tutoring, with the goal of developing educational technology …

A comparison of elaborated and restricted feedback in LogEx, a tool for teaching rewriting logical formulae

J Lodder, B Heeren, J Jeuring - Journal of Computer Assisted …, 2019 - Wiley Online Library
This article describes an experiment with LogEx, an e‐learning environment that supports
students in learning how to prove the equivalence between two logical formulae, using …

More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction

G Jung, MS Ausin, T Barnes… - Proceedings of the …, 2024 - educationaldatamining.org
We presented two empirical studies to assess the efficacy of two Deep Reinforcement
Learning (DRL) frameworks on two distinct Intelligent Tutoring Systems (ITSs) to exploring …

[图书][B] Exploring Batch Deep Reinforcement Leaning and Multi-Task Learning Across Intelligent Tutoring Systems: Lessons Learned

G Jung - 2023 - search.proquest.com
Abstract Nowadays, Intelligent Tutoring Systems (ITSs) have been vastly utilized as a means
of adaptive education and training for many learners and Reinforcement Learning (RL) has …