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Elements of Artificial Neural Networks

Kishan G. Mehrotra, Chilukuri Krishna Mohan, Sanjay Ranka • The MIT Press eBooks (1996)

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have ...

OPENALEX DOI: https://doi.org/10.7551/mitpress/2687.001.0001

Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study

Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal et al. • Frontiers in Education (2025)

Given the exponential growth of biochemical data and deep effect of computational methods on life sciences, there is a need to rethink undergraduate curricula. A project-oriented learning approach based on the Triangular Spatial Relationshi...

DOAJ Open Access (DOAJ) DOI: 10.3389/feduc.2024.1455173

Relationship between perceived teacher support and learning engagement among adolescents: Mediation role of technology acceptance and learning motivation

Fuhai An, Jingyi Yu, Linjin Xi • Frontiers in Psychology (2022)

This study is aimed at investigating the relationship between perceived teacher support and learning engagement and exploring the mediation role played by technology acceptance and learning motivation. It adopted a structural equation model...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2022.992464

A longitudinal study on students’ self-regulated listening during transition to an English-medium transnational university in China

Sihan Zhou, Gene Thompson • Studies in Second Language Learning and Teaching (2023)

Listening to academic content in English medium instruction (EMI) classrooms at university can be a demanding task for students who transition from first language (L1) instructed secondary schools. This longitudinal mixed methods study anal...

DOAJ Open Access (DOAJ) DOI: 10.14746/ssllt.38281

Teaching for Deep Learning

Tracy W. Smith, Susan A. Colby • The Clearing House A Journal of Educational Strategies Issues and Ideas (2007)

The authors have been engaged in research focused on students' depth of learning as well as teachers' efforts to foster deep learning. Findings from a study examining the teaching practices and student learning outcomes of sixtyfour teacher...

OPENALEX DOI: https://doi.org/10.3200/tchs.80.5.205-210

Dive into Deep Learning

Aston Zhang, Zachary C. Lipton, Li Mu, Alexander Johannes Smola • arXiv (Cornell University) (2021)

This open-source book represents our attempt to make deep learning approachable, teaching readers the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and...

OPENALEX cc-by DOI: https://doi.org/10.48550/arxiv.2106.11342

Does Emotional Labor Matter for University Teaching? Examining the Antecedents and Consequences of University Teachers' Emotional Labor Strategies

Jiying Han, Hongbiao Yin, Xin Yang, Feifei Wang • Frontiers in Psychology (2021)

Following Grandey's integrative model of emotional labor and emotion regulation, this study examined the relationships between university teachers' reported use of various emotional labor strategies and some antecedents (i. e., perceived em...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2021.731099

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials

Iason Batzianoulis, Fumiaki Iwane, Shupeng Wei, Carolina Gaspar Pinto Ramos Correia et al. • Communications Biology (2021)

Teaching an assistive robotic manipulator to move objects in a cluttered table requires demonstrations from expert operators, but what if the experts are individuals with motor disabilities? Batzianoulis et al. propose a learning approach w...

DOAJ Open Access (DOAJ) DOI: 10.1038/s42003-021-02891-8

Precision water quality indices forecasting through an optimized hybrid SMW-LSSVM-R model enhanced by SATLDE and uncertainty analysis

Heming Jia, Marjan Kordani, Iman Ahmadianfar, Arvin Samadi Koucheksaraee et al. • Engineering Applications of Computational Fluid Mechanics (2026)

Precise forecasting of water quality indices (WQI) is essential for safeguarding ecosystems, human health, and sustainable water resource management. This study presents an innovative approach for evaluating river Water Quality Indices usin...

DOAJ Open Access (DOAJ) DOI: 10.1080/19942060.2025.2602582

Source apportionment and stochastic evaluation of soil contamination and human health risks of potentially toxic elements in Nangodi, northern Ghana

Samuel Dzidefo Sagoe, Raymond Webrah Kazapoe, Daniel Kwayisi, Seidu Alidu et al. • Discover Soil (2026)

Abstract Artisanal and Small-Scale Mining (ASM) is a critical driver of soil contamination in West Africa, yet quantifying the relative contributions of natural and anthropogenic sources remains a major challenge. This study presents an int...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44378-026-00229-6

Machine learning for real-time aggregated prediction of hospital admission for emergency patients

Zella King, Joseph Farrington, Martin Utley, Enoch Kung et al. • npj Digital Medicine (2022)

Abstract Machine learning for hospital operations is under-studied. We present a prediction pipeline that uses live electronic health-records for patients in a UK teaching hospital’s emergency department (ED) to generate short-term, probabi...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-022-00649-y

The role of evaluative nouns in shaping modern English movie discourse: An axiological and morphological analysis

Irena Snikhovska, Larysa Soloviova, Julia Bereziuk, Svitlana Poplavska et al. • English Language Teaching Educational Journal (2026)

Evaluative language has been widely examined, but evaluative nouns in cinematic discourse remain insufficiently studied. This study addresses this gap by systematically analyzing evaluative nouns in English movie dialogue. A sample of 176 l...

DOAJ Open Access (DOAJ)

Artificial Intelligence for Games

Ian Millington, John Funge • CRC Press eBooks (2018)

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional ex...

OPENALEX DOI: https://doi.org/10.1201/9781315375229

Artificial Intelligence for Games

Ian Millington • CRC Press eBooks (2009)

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional ex...

OPENALEX DOI: https://doi.org/10.1201/b13169

Development and Validation of Student Enablers and Barriers in Online Learning Scale: A Confirmatory Factor Analysis Approach

Johar Amir, Wirawan Setialaksana, Ambo Dalle • ELT Worldwide: Journal of English Language Teaching (2024)

The evolution of technology has reshaped the educational landscape, with online learning emerging as a prominent and accessible alternative. Online learning offers broader access to education, allowing individuals to pursue learning opportu...

DOAJ Open Access (DOAJ) DOI: 10.26858/eltww.v11i2.66999

Mapping artificial intelligence research in higher education toward sustainable development

Tieu Thi My Hong, Nguyen Thi Thanh Tung, Nguyen Thi Phuong Thanh • Discover Sustainability (2025)

Abstract The rapid development of Artificial Intelligence (AI) has had a profound impact on higher education (HE), fundamentally changing teaching, learning, research and academic management. Although there have been many studies on the app...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-025-02162-0

The effect of enjoyment on the achievement of learning goals in college students’ online classes: a moderated mediation model

Hong Zheng, Zhouyang Ye, Xinyi Bai, Yangjing Shen et al. • Humanities & Social Sciences Communications (2026)

Abstract In the digital education era, artificial intelligence has developed rapidly in education in China, and hybrid teaching models have become popular. This study aims to explore whether college students’ enjoyment in online classes inf...

DOAJ Open Access (DOAJ) DOI: 10.1057/s41599-026-06563-y