Data science is a new field of research that has attracted growing interest in recent years as it focuses on turning raw data into understanding, insight, knowledge, and value. New data science education programs, which are being launched at an increasing rate, are designed for multiple education levels and populations. Machine learning (ML) is an…

Research on pre-task planning to date has mainly focused on task performance. However, the effects of planning are contingent on what learners actually do during planning time. One important factor that may determine the quality and usefulness of planning is whether it is done in the first language (L1) or the second language (L2). This research…

Language learning has long been a topic of interest, and instructional videos which allow students to learn anywhere and anytime have become an important language learning tool. However, the emotional characteristics of both instructors and students, which have the potential to influence students' second language learning from instructional…

The Oklahoma IDeA Network of Biomedical Research Excellence (OK-INBRE) provides a formalized mentoring program and grant awards to new and early-stage faculty throughout Oklahoma. The OK-INBRE Research Project Investigator (RPI) award program has supported 30 faculty from both research-intensive universities and primarily undergraduate…

The COVID-19 pandemic forced many courses to move online, presenting a particular challenge for hands-on laboratory courses. One such course in our Biotechnology track is an advanced Protein Interactions lecture/laboratory course. This 8-week course typically meets for 5 h a week in the laboratory space. For the Fall 2020 version of the course,…

Background: Developmental language disorder (DLD) has clear functional ramifications in the areas of social competency, emotion recognition, emotional well-being and literacy skill, which have been found to persist from childhood to adolescence. These domains are important factors during the transition from primary to secondary school in typical…

Programming is an essential part of the curriculum of computer science non-major students. The motivation for the various elements of interdisciplinary degrees is often very low in computer science, which faces a gender gap as well. Differences between study courses and gender in confidence, attitude, student numbers, and motivation in computer…

In this study, we investigate how 2,216 Swedish upper secondary school students' performances of sourcing, evaluating evidence, and corroborating digital news relate to their background, educational orientation attitudes, and self-rated skills. We used a combined online survey and performance test to investigate students' abilities to evaluate…

Mobile-assisted language learning has emerged as a valuable tool for L2 pronunciation learning as it offers ample opportunities for learners to perform authentic learning activities anytime and anywhere. However, the extent to which mobile devices may facilitate or enhance L2 pronunciation has yet to be systematically investigated. To address the…

The purpose of this study is to examine whether a difference exists in TOEIC Bridge® Institutional Program scores between Japanese English as a Foreign Language (EFL) students at a technical college who did extensive reading (ER) for one year and those who did ER for two years. Furthermore, by dividing the students who experienced ER for two years…

Purpose: The present research sought the views of 157 stakeholders (students, parents, teachers, and school executive members) in three Australian urban government high schools and departmental and management staff of the Department of Education to determine the current status of social and emotional well-being (SEW) in an Australian context.…

Charter schools are public schools governed by an independent board of directors that come into existence through a contract with an authorized public chartering agency. This report, known as the Illinois Charter School Biennial Report, provides legislators, policymakers, educators, and the general public with information regarding the state of…

Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…

Problem and goal. Amid the currently advancing (technological, social, techno-social) trends, prominent attention is drawn to skills and competences, which are universal for all spheres of activity -- soft skills, key competences. They are known as universal competences in Russian higher education. The aim of the article is to pinpoint universal…

Purpose: The purpose of this causal-comparative research study was to examine the impact of an Integrated Business Curriculum Program (IBCP) and its effects on career decision-making self-efficacy (CDMSE). It also provides a framework and common vocabulary for which type of business curriculum provides the best career readiness CDMSE advantage.…