Prior studies indicate that faculty often struggle with Scholarship of Teaching and Learning (SoTL) research due to limited knowledge of relevant research methodologies and data analysis techniques (Boshier, 2009; Kim et al., 2021; McKinney, 2006). Faculty developers at a teaching-intensive institution created an innovative, scaffolded model to…

As initiatives on AI education in K-12 learning contexts continues to evolve, researchers have developed curricula among other resources to promote AI across grade levels. Yet, there is a need for more effort regarding curriculum, tools, and pedagogy, as well as assessment techniques to popularize AI at the middle school level. Drawing on prior…

Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre-service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment-based teaching approach (FVPA-based…

The Fall 2024 Enrollment Fact Book details current fall enrollment data including on- and off-campus enrollment by ethnicity, gender, residency, degree program level, and program category.

This case study is based on a program evaluation of a professional certificate program that trains early childhood care and education providers to build and support young children's emotional literacy. The research project described in the case study will address approaches to methodological combination, justifying research design and changes to…

Given the ever-evolving role of school counselors and increasing demands placed on them in today's sociopolitical climate, proficiency in program evaluation is more important than ever as school counselors advocate for their role and for comprehensive school counseling program delivery in schools. This article presents a reexamination of the…

This dissertation comprises three chapters. The first two address issues within the education system, focusing on strategies to attract and retain high-quality teachers in the public sector. The third chapter, a collaborative effort with Martin Martinez and Miguel Saldarriaga, explores the application of machine learning tools for nowcasting…

Technology has arisen as a powerful tool for enhancing student's learning and engagement in science education, particularly in the context of elementary inquiry-based science education (IBSE). This systematic review examines the use of technology in elementary IBSE over the past decade, analyzing 22 empirical studies to identify research trends,…

Dual language education is an innovative educational model available for families selecting schools through school choice. While extensive research supports the academic benefits of dual language programs (DLPs) for non-English native speakers and communities of color in the United States, enrollment often does not reflect these populations. This…

Reflecting the inter-connected reality of today's world, contemporary education is striving to keep up with the exponentially rapid changes that individuals around the globe are facing. Innovative educational proposals carry labels such as connective learning (Downes, 2006), e-learning 2.0 (Downes, 2005), education 2.0 (Carr et al., 2008), or…

In Germany, the respondents who had participated in the 2012 survey of the Programme for the International Assessment of Adult Competencies (PIAAC) were re-approached for the panel study PIAAC-L. PIAAC-L aims at investigating the longitudinal effects of skill outcomes over the life course and the development of the key skills assessed in PIAAC.…

Data transformations have been promoted as a popular and easy-to-implement remedy to address the assumption of normally distributed errors (in the population) in linear regression. However, the application of data transformations introduces non-ignorable complexities which should be fully appreciated before their implementation. This paper adds to…

This study probed the conceptualization of (in)authenticity in teaching and the way it could be enacted in pedagogical practices. The participants were a purposive sample of 20 Iranian university teachers. Data were collected using in-depth interviews, field notes, and observation. The collected data were analyzed through the lens of hermeneutic…

This paper presents a class case study of an assignment that asked students to use a Twitter follower report to design a Twitter advertising campaign. The purpose of this case study is to immerse students in a real social media environment and help them become familiar with analyzing social media data to develop advertising campaigns. Students'…

With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine learning techniques both in terms of size and complexity. Those challenges include: the structured data with various storage formats and…