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ICT and Statistics in Education
This special issue belongs to the section “Computing and Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
The idea behind publishing this Special Issue is not to predict the future of teaching ICTs and statistics but to foresee the great potential of using ICTs and statistics in education.
The changes that entail the transition from teaching through ICTs to sustainable educational applications using ICTs is often followed by the strength in adopting them. The unprecedented public health crisis with the COVID-19 pandemic has given us a small taste of such a point, with its impact on teaching, learning, and the transition to online education in general. Education won’t be the same in the post-COVID-19 era. Learning will no longer be all about teaching but on developing a new learning environment and a reliable cooperative discovery-based understanding of new concepts in unpredictable situations.
Furthermore, it is the first time where data and statistical analysis are playing such an important role in education and the economy. The importance of teaching statistics and data analysis is where we should focus on. But, first, we need to start with rich educational scenarios on teaching statistics in all educational levels.
Classroom studies, case studies, and teaching practices involving ICTs in education and teaching statistics are welcome. The planned Special Issue aims to explore this field.
Prof. Dr. Jenny Pange
Dr. Zoi Nikiforidou
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 250 words) can be sent to the Editorial Office for assessment.
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- ICT
- statistics
- education
- teaching
- learning
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