Students' misconceptions and other difficulties in introductory programming: A literature review
Efforts to improve computer science education are underway, and teachers of computer
science are challenged in introductory programming courses to help learners develop their …
science are challenged in introductory programming courses to help learners develop their …
Text mining in education
The explosive growth of online education environments is generating a massive volume of
data, specially in text format from forums, chats, social networks, assessments, essays …
data, specially in text format from forums, chats, social networks, assessments, essays …
Learning gain differences between ChatGPT and human tutor generated algebra hints
ZA Pardos, S Bhandari - arXiv preprint arXiv:2302.06871, 2023 - arxiv.org
Large Language Models (LLMs), such as ChatGPT, are quickly advancing AI to the frontiers
of practical consumer use and leading industries to re-evaluate how they allocate resources …
of practical consumer use and leading industries to re-evaluate how they allocate resources …
Educational data mining: a review of the state of the art
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …
with the development of methods to explore data originating in an educational context. EDM …
[HTML][HTML] Data-driven hint generation in vast solution spaces: a self-improving python programming tutor
K Rivers, KR Koedinger - International Journal of Artificial Intelligence in …, 2017 - Springer
To provide personalized help to students who are working on code-writing problems, we
introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for …
introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for …
Axis: Generating explanations at scale with learnersourcing and machine learning
While explanations may help people learn by providing information about why an answer is
correct, many problems on online platforms lack high-quality explanations. This paper …
correct, many problems on online platforms lack high-quality explanations. This paper …
Big data comes to school: Implications for learning, assessment, and research
B Cope, M Kalantzis - Aera Open, 2016 - journals.sagepub.com
The prospect of “big data” at once evokes optimistic views of an information-rich future and
concerns about surveillance that adversely impacts our personal and private lives. This …
concerns about surveillance that adversely impacts our personal and private lives. This …
[PDF][PDF] Offline policy evaluation across representations with applications to educational games.
T Mandel, YE Liu, S Levine, E Brunskill… - AAMAS, 2014 - grail.cs.washington.edu
Consider an autonomous teacher agent trying to adaptively sequence material to best keep
a student engaged, or a medical agent trying to help suggest treatments to maximize patient …
a student engaged, or a medical agent trying to help suggest treatments to maximize patient …
Next-term student performance prediction: A recommender systems approach
An enduring issue in higher education is student retention to successful graduation. National
statistics indicate that most higher education institutions have four-year degree completion …
statistics indicate that most higher education institutions have four-year degree completion …
New potentials for data-driven intelligent tutoring system development and optimization
Increasing widespread use of educational technologies is producing vast amounts of data.
Such data can be used to help advance our understanding of student learning and enable …
Such data can be used to help advance our understanding of student learning and enable …