[HTML][HTML] Systematic review of research on artificial intelligence applications in higher education–where are the educators?

O Zawacki-Richter, VI Marín, M Bond… - International Journal of …, 2019 - Springer
According to various international reports, Artificial Intelligence in Education (AIEd) is one of
the currently emerging fields in educational technology. Whilst it has been around for about …

[HTML][HTML] Defining the boundaries between artificial intelligence in education, computer-supported collaborative learning, educational data mining, and learning …

B Rienties, H Køhler Simonsen, C Herodotou - Frontiers in Education, 2020 - frontiersin.org
This review aims to provide a concise overview of four distinct research fields: Artificial
Intelligence and EDucation (AIED), Computer-Supported Collaborative Learning (CSCL) …

Harnessing Artificial Intelligence for innovation in education

S Tan - … Innovative and digital transformative learning strategies …, 2023 - Springer
In the field of educational technology, Artificial Intelligence in Education (AIEd) is an
emerging field that is projected to have a profound impact on the teaching and learning …

Development and validation of a machine learning-based decision support tool for residency applicant screening and review

J Burk-Rafel, I Reinstein, J Feng, MB Kim… - Academic …, 2021 - journals.lww.com
Purpose Residency programs face overwhelming numbers of residency applications,
limiting holistic review. Artificial intelligence techniques have been proposed to address this …

Modeling urban land use changes using support vector machines

M Samardžić‐Petrović, S Dragićević… - Transactions in …, 2016 - Wiley Online Library
Abstract Support Vector Machines (SVM) is a machine learning (ML) algorithm commonly
applied to the classification of remotely sensing data and more recently for modeling land …

Using machine learning in admissions: Reducing human and algorithmic bias in the selection process

B Martinez Neda, Y Zeng… - Proceedings of the 52nd …, 2021 - dl.acm.org
Diverse classrooms are linked to enhanced intellectual engagement and understanding of
different perspectives. College admissions decisions have traditionally relied heavily on …

[HTML][HTML] Estimation of surface soil moisture in irrigated lands by assimilation of landsat vegetation indices, surface energy balance products, and relevance vector …

AF Torres-Rua, AM Ticlavilca, R Bachour, M McKee - Water, 2016 - mdpi.com
Spatial surface soil moisture can be an important indicator of crop conditions on farmland,
but its continuous estimation remains challenging due to coarse spatial and temporal …

[HTML][HTML] Putting MARS into space. Non‐linearities and spatial effects in hedonic models

F López, K Kholodilin - Papers in Regional Science, 2023 - Elsevier
Abstract Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non‐
parametric machine learning algorithm that automatizes the selection of non‐linear terms in …

[HTML][HTML] Integration of local and global support vector machines to improve urban growth modelling

B Mirbagheri, A Alimohammadi - ISPRS International journal of geo …, 2018 - mdpi.com
The use of local information for the classification and modelling of spatial variables has
increased with the application of statistical and machine learning algorithms, such as …

[HTML][HTML] Artificial intelligence developments in medical education: a conceptual and practical framework

K Masters - MedEdPublish, 2020 - ncbi.nlm.nih.gov
This article was migrated. The article was marked as recommended. As Artificial Intelligence
(AI) develops in medicine, there is a greater awareness that medical education may also …