Algorithms in Educational Data Mining
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 3287
Special Issue Editors
Interests: learning analytics; machine learning; signal processing; educational data mining
Special Issue Information
Dear Colleagues,
The past decade has brought the extensive use of information and communication technologies into education. With that, vast amounts of student- and study-related data have been collected. This data provides institutions with an opportunity to gain new perspectives on learning and provide students with extended learning experience and gains. With the rapid advancement in machine learning and deep learning, the opportunities to use information technologies in education are expanding. Therefore, we would like to invite you to contribute to this Special Issue on “Algorithms in Educational Data Mining”. Potential topics include, but are not limited to, data-informed learning, learning and teaching modelling, assessing student learning, personalized and adaptive learning, insights to learning processes, learning analytics, recommender systems, and student support systems.
Dr. Jakub Kuzilek
Dr. Niels Seidel
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data-informed learning
- learning and teaching modeling
- assessing student learning
- personalized and adaptive learning
- insights into learning processes
- learning analytics
- recommender systems
- student support systems
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