Game-based learning (GBL) is increasingly recognized as an effective tool for teaching diverse skills, particularly in science education, due to its interactive, engaging, and motivational qualities, along with timely assessments and intelligent feedback. However, more empirical studies are needed to facilitate its wider application in school…

During the COVID19 crisis, school closure was a frequent feature of Government responses. "The Children's School Lives" (CSL) national cohort study of primary schooling in Ireland had to be adapted and transferred online as an interim response to the unprecedented impact that the pandemic had on the research environment. Adapting…

In the context of digital transformation processes in schools, the introduction of technology is often discussed in terms of the individualization and optimization of teaching, learning and school management. However, it is often neglected that technologies are preconfigured and provide socio-material offers that invite certain actions and thus…

Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…

Artificial intelligence is a tool of the digital economy. Its use facilitates the growth of the level of productivity, effectiveness and quality of managing the spheres of infrastructural support. The smart cities concept is based on ensuring the management of the main city infrastructures based on the means of AI. In the studied countries of…

"Pathways to Implementation" highlights innovative strategies and effective models in career pathways policy, implementation, and programming, as well as challenges states encounter in this work. This seven-part series addresses the key elements of Bellwether's framework for career pathways policy implementation. Each brief defines the…

The success of development projects and evaluations hinges on having access to research protocols and methodologies that consider the needs and characteristics of stakeholders, subjects, and context while remaining rigorous and culturally sound. These efforts are often complicated by a dearth of tools that have been tested for validity and…

In today's data-rich world, students are constantly exposed to statistics through graphs and visuals in media, making data literacy an essential skill. Presented in this article, middle schoolers became entomologists in a 2-day garden-based STEM lesson, collecting and graphing data to explore how different graphs best represent scientific findings.

Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep learning…

Language research has come to rely heavily on large-scale, web-based datasets. These datasets can present significant methodological challenges, requiring researchers to make a number of decisions about how they are collected, represented, and analyzed. These decisions often concern long-standing challenges in corpus-based language research,…

Established in 2004, the Council on Library and Information Resources (CLIR) Postdoctoral Fellowship Program (program) had as its goal the recruitment, training, and creation of cohorts of new PhDs working within the library or cultural heritage digital environment to help manage, sustain, and generate valuable information in support of research…

Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…

In this paper, we describe a course project in which teams of undergraduate students propose and execute an end-to-end analytics project to solve a real-world problem. The project challenges students to implement machine learning, optimization, simulation, or a combination of these three techniques on real-world data that they collect. A…

One significant impact of the COVID-19 pandemic for educators in forensic science was adapting what is traditionally a very applied field to a virtual learning environment. Because of this, science classes with a practical laboratory component had to implement significant adjustments to ensure that student learning objectives were still met,…

This paper aims to critique approaches to qualitative coding that carry a bottom-up or inductive thinking. Despite the wide contributions of this epistemology to the social sciences, this paper contends that contemporary research and methodological debates have inadequately explored different epistemologies for coding. As such, this paper proposes…