Results 31 to 40 of about 55,672 (306)

Derived Feature Engineering and ABC–XYZ Segmentation for Machine Learning-Based Forecasting of Intermittent Spare Parts Demand

Applied Sciences
Forecasting spare parts demand is challenging due to its intermittent, sparse, and highly irregular nature. Traditional inventory strategies, based on stable demand patterns, often lead to inefficiencies, including excess inventory and poor service ...
Zdravko Kunić, Vedran Dakić, Aleksandar Radovan, Filip Furko   +3 more
doaj   +1 more source

Monitoring Academic Performance Based on Learning Analytics and Ontology: A Systematic Review

Informatics in Education, 2020
This paper presents a systematic literature review of the coordinated use of Learning Analytics and Computational Ontologies to support educators in the process of academic performance evaluation of students.
Laecio Araujo COSTA, Leandro Manuel PEREIRA SANCHES, Ricardo José ROCHA AMORIM, Laís do NASCIMENTO SALVADOR, Marlo Vieira dos SANTOS SOUZA   +4 more
doaj   +1 more source

Aspetos morfológicos do tratamento de dados na gestão escolar. O potencial do Analytics

Revista Portuguesa de Investigação Educacional, 2016
As ondas de choque da Sociedade de Informação chegaram à Universidade e as plataformas tecnológicas impuseram-se como suportes fundamentais na transformação pedagógica e na gestão das várias dimensões de atuação das Instituições do Ensino Superior (IES).
António Andrade, Sérgio André Ferreira   +1 more
doaj   +1 more source

Using Motivation Theory to Design Equity-Focused Learning Analytics Dashboards

Trends in Higher Education, 2023
Learning Analytics applications, and their associated dashboards, are frequently used in post-secondary settings; yet, there has been limited work exploring the motivational implications of their deployment, especially for under-served student ...
Stephen J. Aguilar
doaj   +1 more source

Detecting Academic Misconduct Using Learning Analytics

Journal of Learning Analytics, 2019
Keystroke logging and clickstream data, both emergent areas of study in the field of learning analytics, present promising alternative methods of detecting and preventing contract cheating. The current study examines whether analysis of keystroke and clickstream data can detect when a student is creating their own authentic writing or transcribing from
Kelly Trezise, Tracii Ryan, Paula G. de Barba, Gregor E. Kennedy   +3 more
openaire   +2 more sources

Safety in Numbers: Developing a Shared Analytics Service for Academic Libraries

, 2014
Purpose It is clear that libraries consider the use of data to inform decision making a top priority in the next five years. Jisc’s considerable work on activity data has highlighted the lack of tools and services for libraries to exploit this data.
Showers, Ben, Stone, Graham
core   +1 more source

Structure-based prediction of SARS-CoV-2 variant properties using machine learning on mutational neighborhoods

Frontiers in Bioinformatics
This dataset presents a structure-enriched resource of theoretical and empirical SARS-CoV-2 spike receptor-binding domain (RBD) variants, developed under the STAYAHEAD project for pandemic preparedness.
Max van den Boom, Max van den Boom, Erik Schultes, Erik Schultes, Thomas Hankemeier   +4 more
doaj   +1 more source

An Analytic Model to Assist Academic Advisors [PDF]

NACADA Journal, 2002
We detail how academic advisors at two land grand universities benefit from the identification of factors related to poor academic performance of first-year students. We used a multivariate statistical model and data from one institution to identify characteristics of students at-risk of earning low grade point averages.
Stephen L. DesJardins, Wang Jie
openaire   +1 more source

Preventing chick culling in the poultry industry with a new biomarker for rapid in ovo gender screening

Scientific Reports
Chicken eggs are one of the most consumed foods worldwide. However, the practice of chicken culling in the poultry industry involves unnecessary animal suffering and finding a way to put an end to this has become a societal priority.
Nicolas Drouin, Hyung Lim Elfrink, Wouter Bruins, Slavik Koval, Chang Liu, David M. Cox, J. Bryce Young, Serge Desmoulins, Kelly Hoogkamer, Leonard van Bommel, Farzana Azam, James Wighton, Thomas R. Covey, Wil Stutterheim, Amy C. Harms, Thomas Hankemeier   +15 more
doaj   +1 more source

The Use of Educational Process Mining on Dropout and Graduation Data in the Curricula (Re-)Design of Universities

Trends in Higher Education
High college dropout rates are not a desired outcome for university management. Efforts have been made to increase student retention via understanding dropouts and building support mechanisms.
Alexander Karl Ferdinand Loder
doaj   +1 more source