Academic Articles & Research Papers

Seven Technology-Based Active Learning Models for Educational System Transformation: A Policy Brief.

Editorial

Dear Readers, The September 2026 issue of Science Education International presents 11 original research articles authored by scholars from 11 countries, including Germany, Slovenia and Italy, Finland and South Africa, Brazil, Chile and Arge...

Attracting Students to Transportation Engineering

With a significant fraction of the nation's transportation workforce nearing retirement age, it is essential to attract new talent to transportation fields and to retain that talent. In addition, it is also important to attract a diverse wo...

Active querying approach to epidemic source detection on contact networks

Abstract The problem of identifying the source of an epidemic (also called patient zero) given a network of contacts and a set of infected individuals has attracted interest from a broad range of research communities. The successful and tim...

Impact of the introduction of interprofessional education to first-year university students of health sciences

Background: There is a lack of coordination among various healthcare workers in a hospital which leads to an increase incidence of medical errors and patient sufferings. The various professionals in a hospital are not able to communicate ef...

Extrapolative prediction in multiphase flow pipelines: a multi-fidelity surrogate approach with stacking ensemble

Accurate extrapolation of multiphase flow behaviour in offshore pipelines is hindered by limited field data, simulator bias, and strong nonlinearities. A multi-fidelity surrogate approach with stacking ensemble is proposed to address these ...

Concepts of Epidemiology

Abstract Epidemiology is a population science that underpins health improvement and health care, and is concerned with the pattern, frequency, trends, and causes of disease. This book teaches its applications to population health research, ...

A literature survey of active machine learning in the context of natural language processing

Active learning is a supervised machine learning technique in which the learner is in control of the data used for learning. That control is utilized by the learner to ask an oracle, typically a human with extensive knowledge of the domain ...

Deep Learning for Geophysics: Current and Future Trends

Abstract Recently deep learning (DL), as a new data‐driven technique compared to conventional approaches, has attracted increasing attention in geophysical community, resulting in many opportunities and challenges. DL was proven to have the...

Deep learning applications and challenges in big data analytics

Abstract Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can con...

Artificial intelligence in recommender systems

Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intel...