ERIC (Educational Resources Information Center)
ERIC is a freely available, searchable, Internet-based bibliographic and full-text database of education research and information sponsored by the Institute of Education Sciences within the U.S. …
ERIC is a freely available, searchable, Internet-based bibliographic and full-text database of education research and information sponsored by the Institute of Education Sciences within the U.S. …
ERIC is the world's most widely used index to educational-related literature. Established in 1966, ERIC is supported by the U.S. Department of Education's Office of Educational Research and Improvement.
ERIC is an online library of education research and information, sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.
This memoire covers my life history starting with my family's background and their immigration to the US. It continues with my childhood, my early education, and my introduction to science. It then covers my professional research included a variety o...
The recent advancements in computational power and machine learning algorithms have led to vast improvements in manifold areas of research. Especially in finance, the application of machine learning enables both researchers and practitioners to gain...
Sandra Pascoe Ortiz is a Mexican researcher and chemical engineer. She is a faculty member at the Universidad del Valle de Atemajac in Zapopan. Ortiz is
Recent research on instructable agents has used memory-augmented Large Language Models (LLMs) as task planners, a technique that retrieves language-program examples relevant to the input instruction and uses them as in-context examples in the LLM pro...
In this study, a narrative literature review regarding culture and e-commerce website design has been introduced. Cultural aspect and e-commerce website design will play a significant role for successful global e-commerce sites in the future. Future...
Research suggests the potential of employing VR to elicit awe experiences, thereby promoting well-being. Building upon theories related to the sublime and embodiment, we designed three VR scenes to evaluate the effectiveness of sublime and embodied d...
For the record, I'm a research meteorologist who dabbles in forecasting; my friends and colleagues at the National Weather Service are far better at this than anyone else is. Go listen to what they ha...
With the recent digital revolution, analyzing of tourists' behaviors and research fields associated with it have changed profoundly. It is now easier to examine behaviors of tourists using digital traces they leave during their travels. The studies c...
Jun 4, 2025 · Best Budget Mountain Bikes We researched and tested the best budget mountain bikes on the market from top manufacturers. Comparing the downhill performance of the Fuse to the other …
Explainability is highly-desired in Machine Learning (ML) systems supporting high-stakes policy decisions in areas such as health, criminal justice, education, and employment. While the field of explainable ML has expanded in recent years, much of th...
The field of Artificial Intelligence (AI) is focusing on creating automated decision-making (ADM) systems that operate as close as possible to human-like intelligence. This effort has pushed AI researchers into exploring cognitive fields like psychol...
*This is not an official list. This is based on extensive research completed by me.* *What I will do from now is that, rather than post new lists after updates, if I add someone to the list, I will a...
*This is not an official list. This is based on extensive research completed by me.* *What I will do from now is that, rather than post new lists after updates, if I add someone to the list, I will a...
The study analyzes the introduction of Microsoft 365 Copilot in a non-university research organization using a repeated cross-sectional employee survey. We assess usefulness, ease of use, output quality and reliability, and usefulness for typical kno...
Improving the explainability of the results from machine learning methods has become an important research goal. Here, we study the problem of making clusters more interpretable by extending a recent approach of [Davidson et al., NeurIPS 2018] for co...
Learning suitable latent representations for observed, high-dimensional data is an important research topic underlying many recent advances in machine learning. While traditionally the Gaussian normal distribution has been the go-to latent parameteri...
Kaika, Maria (2021). "Refugees' Caring and Commoning Practices Against Marginalization Under COVID-19 in Greece". Geographical Research. 60 (2): 232–240