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Tian, Xuetao; Liu, Feng – IEEE Transactions on Learning Technologies, 2021
Massive open online courses (MOOCs) have been an important learning tool in education. In order to reduce the high dropout rate and improve learners' satisfactions, it is urgent for MOOCs platform to provide course recommendation and tutoring service. To achieve it, it is necessary to determine and trace learners' learning state. Cognitive…
Descriptors: Online Courses, Item Response Theory, Course Selection (Students), Artificial Intelligence
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Rüdian, Sylvio; Pinkwart, Niels – International Educational Data Mining Society, 2021
Finding the optimal topic sequence of online courses requires experts with lots of knowledge about taught topics. Having a good order is necessary for a good learning experience. By using educational recommender systems across different platforms we have the problem that the connection to an ontology sometimes does not exist. Thus, the state of…
Descriptors: Online Courses, Sequential Approach, Educational Technology, Computer Uses in Education
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Hsiao, I-Han, Ed.; Sahebi, Shaghayegh, Ed.; Bouchet, Francois, Ed.; Vie, Jill-Jenn, Ed. – International Educational Data Mining Society, 2021
For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of…
Descriptors: Blended Learning, Distance Education, Learning Analytics, Educational Technology
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Fiebrink, Rebecca – ACM Transactions on Computing Education, 2019
This article aims to lay a foundation for the research and practice of machine learning education for creative practitioners. It begins by arguing that it is important to teach machine learning to creative practitioners and to conduct research about this teaching, drawing on related work in creative machine learning, creative computing education,…
Descriptors: Artificial Intelligence, Man Machine Systems, Population Groups, Creativity
Association Supporting Computer Users in Education, 2016
The Association Supporting Computer Users in Education (ASCUE) initiated a refereed track for paper submissions to the conference in 2008. In fact, at the 2008 business meeting, the membership approved three different presentation tracks: refereed with 3 blind reviews for each paper, session with paper where the author submits a paper but it is…
Descriptors: Computer Uses in Education, Computer Software, Conferences (Gatherings), Computers
Association Supporting Computer Users in Education, 2018
The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. Begun in 1968 as the College and University Eleven-Thirty Users' Group…
Descriptors: Computer Uses in Education, Conferences (Gatherings), College Students, Portfolios (Background Materials)
Shehabat, Issa; Mahdi, Saad A.; Khoualdi, Kamel – Online Submission, 2008
This paper addresses human resources utilization at the university environment. We address the design issues of e-learning courses that can capture the teacher knowledge. The underlying objective is that e-learning is a key knowledge and major resources for many universities. Therefore, the design of e-learning should be an important part of the…
Descriptors: Teacher Characteristics, Quality Control, Artificial Intelligence, Educational Technology