Artificial intelligence and machine learning approaches in digital education: A systematic revision

H Munir, B Vogel, A Jacobsson - Information, 2022 - mdpi.com
The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …

A systematic literature review of automated feedback generation for programming exercises

H Keuning, J Jeuring, B Heeren - ACM Transactions on Computing …, 2018 - dl.acm.org
Formative feedback, aimed at helping students to improve their work, is an important factor
in learning. Many tools that offer programming exercises provide automated feedback on …

The ASSISTments ecosystem: Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching

NT Heffernan, CL Heffernan - … Journal of Artificial Intelligence in Education, 2014 - Springer
The ASSISTments project is an ecosystem of a few hundred teachers, a platform, and
researchers working together. Development professionals help train teachers and get …

Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms

K Holstein, BM McLaren, V Aleven - … , AIED 2018, London, UK, June 27–30 …, 2018 - Springer
When used in K-12 classrooms, intelligent tutoring systems (ITSs) can be highly effective in
helping students learn. However, they might be even more effective if designed to work …

AutoTutor and family: A review of 17 years of natural language tutoring

BD Nye, AC Graesser, X Hu - … Journal of Artificial Intelligence in Education, 2014 - Springer
AutoTutor is a natural language tutoring system that has produced learning gains across
multiple domains (eg, computer literacy, physics, critical thinking). In this paper, we review …

A selective meta-analysis on the relative incidence of discrete affective states during learning with technology.

S D'Mello - Journal of educational psychology, 2013 - psycnet.apa.org
The last decade has witnessed considerable interest in the investigation of the affective
dimensions of learning and in the development of advanced learning technologies that …

Intelligent tutoring systems.

AC Graesser, MW Conley, A Olney - 2012 - psycnet.apa.org
Intelligent tutoring systems (ITSs) are computerized learning environments that incorporate
computational models from the cognitive sciences, learning sciences, computational …

Help helps, but only so much: Research on help seeking with intelligent tutoring systems

V Aleven, I Roll, BM McLaren, KR Koedinger - International Journal of …, 2016 - Springer
Help seeking is an important process in self-regulated learning (SRL). It may influence
learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at …

A review of user training methods in brain computer interfaces based on mental tasks

A Roc, L Pillette, J Mladenovic… - Journal of Neural …, 2021 - iopscience.iop.org
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …

[图书][B] Machine Learning and Human Intelligence: The future of education for the 21st century.

R Luckin - 2018 - ERIC
Intelligence is at the heart of what makes us human, but the methods we use for identifying,
talking about and valuing human intelligence are impoverished. We invest artificial …