Increasingly, professional sales programs receive financial support from company sponsors in exchange for varying types of branding and recruiting opportunities. This study builds on the literature regarding employer branding and talent acquisition by examining the effect sales program sponsorship has on students. Grounded in organizational…

This study enlists a transformative approach to mixed methods research in order to problematize what different methods can offer for expanding understandings of educator language attitudes and ideologies. Analyses consider Likert-scale survey responses and linguistic autobiography data from a sociolinguistics course in an online Educating…

Humans have always been lured by the idea that they can use data to understand a phenomenon and make predictions about it. Learning analytics, in this sense, promise to understand and optimize learning and the environments in which it occurs by collecting data from learners and learning contexts. In this regard, this study systematically examines…

Falls are a significant medical and economical concern worldwide. Younger individuals with visual impairment (VI) may be more susceptible to falling and fall-related injuries when compared to peers without a VI. Self-perceived balance confidence is a psychological construct that may predict and/or mediate fall- or other health-related outcomes in…

We use Markov chain Monte Carlo (MCMC) analysis to construct a three-question math quiz to assess key skills needed for introductory finance. We begin with data collected from a ten-question criterion-referenced math quiz given to 314 undergraduates on the first day of class. MCMC indicates the top three questions for predicting overall course…

Conventional literature associates large youth cohort size (YCS) with increased risk of political violence in countries with such demographic profiles. Key questions which remain unanswered, however, are whether YCS is also associated with young people's proclivities toward more peaceful forms of protests, and whether structural socioeconomic…

Hybrid media context and the infodemic have increased the threat of disinformation, particularly among young people who mostly consume digital content. This article aims to identify the competencies needed to detect low-quality content linked to disinformation by Journalism and Communications undergraduates from Argentina, Chile, and Spain. Based…

There is widespread agreement that student teachers need to construct an integrated knowledge base across multiple domains. This study examined the contributions of intraindividual factors of self-regulated learning to explaining student teachers' (a) integration of knowledge across topics and domains (i.e., integrative learning) and (b)…

With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…

This article contributes to the ongoing discussion of student characteristics and usage/nonusage patterns in the writing center. Using a sample of 107 economics students from a selective, bilingual liberal arts program in Russia, the author finds statistically significant relationships among GPA, gender, English-language proficiency, and writing…

This study examined the role of a future-oriented scenario with secondary school students using diorama construction which included climate-change knowledge and envisioning alternative futures. To explore the potential role of futures-thinking modelling, students from one class participated in a 12-week cross-curricular inquiry with their…

This article describes the implementation of an activity with a Predict-Observe-Explain (POE) learning cycle to teach the concepts of velocity and acceleration to physics students aged 17-19. The study indicates how the instructor enacted the activity and provides sample student responses and group discussions. The description includes an example…

Identifying students at risk of failing a course has potential benefits, such as recommending the At-Risk students to various interventions that could improve pass rates. The challenges however, are firstly in measuring how effective these interventions are, i.e. measuring treatment effects, and secondly, to not only predict overall (average)…

The purpose of this case study is to demonstrate how to utilize machine learning approaches to analyze student process data for validating and informing digital game-based assessments (DGBAs) with an evidence-centered game design (ECgD). The first analysis was conducted to examine whether students' mastery of the overall skill required by the game…

This research aims to describe the expectations of prospective teachers for students' mathematical thinking processes in solving problem-based on the Polya model. This model is perceived by the theory of mathematical thought processes proposed by Mason. A descriptive method with a qualitative approach was used in this research. The research…