The emergence of the pandemic, which saw the worldwide spread of the COVID-19 virus, temporarily disrupted teaching with traditional education models changing the way Health Science instruction and training are presented. Secondary and postsecondary schools were unprepared to follow health mandates that restricted group gatherings and…

Over the past two decades, chemistry education researchers shifted their focus toward what skills might be required in the twenty-first century chemical industry and to question whether the learning that occurs in traditional undergraduate teaching labs is sufficient for preparing the future workforce. For example, learning from failure and…

The purpose of the present study is to examine the effectiveness of the Conceptual Model-based Problem-Solving intervention program (COMPS) along with instructional scaffolds to enhance the performance of English learners (ELs) with learning difficulties in mathematics (LDM) to solve word problems. The participants were three third-grade ELs with…

This qualitative research project investigated high school students' experiences with science, as well as how their unique experiences can be used to develop empowering science education for all students. Inquiry was conducted via the photovoice method with a critical sociocultural theoretical framework. Results showed that students' science…

Mathematical literacy and numeracy are critical for students during school and post-graduation, however, many U.S. students do not develop the mathematical skillset needed for college or the workplace, despite curricular importance placed on solving problems encountered in mathematics classrooms and spaces. Part of this skillset for critical…

Teaching and learning mathematics in an elementary classroom is a complex process in negotiating a balance in encouraging participation, responding to students, making connections between interactions, and planning for upcoming interactions. In a search for instructional models and structures that support and encourage student engagement in…

Formal leadership courses and self-directed learning are not adequately addressing the leadership gap in medical education. There is a realization that learning leadership skills is beyond classroom teaching and requires leaders to engage in experiential learning, take up challenging tasks at the workplace, and participate in communities of…

Emerging adulthood, a developmental stage typically bound by the ages between 18-25 years, is a period characterized by new autonomy and decision-making responsibilities, as well as the introduction of a number of weight-related risks, including physical inactivity. Given that behavior plays a key role in the prevention of many chronic health…

Despite generous funding, the current data shows slow-moving demographical changes in STEM (science, technology, engineering, and math) fields, and little to no slowing in the decline of STEM-associated career interests in underserved communities (Leeker, Maxey, Cardella & Hynes, 2019). While a considerable amount has been written about the…

The aim of this study was to investigate the effectiveness of culturally appropriate problem-solving instruction (CAPSI) for individuals with Autism Spectrum Disorder (ASD). Intervention elements incorporated within CAPSI included schema instruction, video modeling, a task analysis, and vocabulary instruction. Information from a culture and…

This practitioner action research study explored features of NGSS-based pedagogies to improve secondary education student engagement, critical thinking, and collaborative problem-solving. It examined ways that constructivist pedagogies might encourage students to understand science by putting their skills and knowledge into practice as young…

More than 85% of federally funded research initiatives fail to produce significant positive results (Coalition for Evidence-Based Policy, 2013). Moreover, of the less than 15% that do yield positive results, none show replicability outside of their original setting (Pogrow, 2017; Kizilcec et al., 2020). Mixed results are present in even the most…

Extreme Learning Machine (ELM) is a training algorithm for Single-Layer Feed-forward Neural Network (SLFN). The difference in theory of ELM from other training algorithms is in the existence of explicitly-given solution due to the immutability of initialed weights. In practice, ELMs achieve performance similar to that of other state-of-the-art…

The National Council of Teachers of Mathematics (2000) emphasizes the importance of communication in mathematics and mathematics education. Effective mathematical communication is essential in mathematics instruction, as it is a collaborative and social activity between teachers and students (Moschkovich, 2002; Khairunnisa et al., 2020). This…

Student teachers in their final year of college preparation enter a profession that is facing a severe shortage and an alarming rate of attrition. Novice teachers, those with five or fewer years of experience, are faced with myriad challenges that makes retention a problem for the colleges preparing them, the school districts that hire them, and…