This paper develops a model of education production and uses it to study optimal school system and curriculum design. Curriculum design is modeled as a time-allocation problem. A school teaches students many skills and allocates time to different skills based on student characteristics. Our framework provides a novel interpretation of studies that…

This paper begins by establishing the A+ Inquiry model as a theoretical lens for assessing needs related to program assessment workload by demonstrating its alignment with elements of five published frameworks associated with higher education assessment. Then, it uses the model as a frame of reference to explore faculty needs related to program…

An exploratory sequential mixed-method study is designed to develop and test a comprehensive model explaining the relationships between factors associated with smartphone addiction and high school students' academic achievement. Involving two main phases of qualitative and quantitative, focus group discussions with high school students and…

School leaders Lydia Cochrane and Ayesha Hoda have struggled to meet the increasingly complex needs of the students in their schools. As students' needs increase, schools are asked to do more and more, while continuing to have strong academic results. Cochrane and Hoda believe the current system is untenable and needs to change. With Linda Nathan,…

The grades of students have been shown to severely decrease during the transition from high school to university. Although past findings have shown that procrastination negatively relates to academic achievement, no study has examined the influence of procrastination on the grade trajectory of students during this critical academic transition.…

Background: Massive Open Online Courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models. In addition, the promise of harnessing interactive and social web technologies to promote meaningful learning was only partially successful. And…

Procrastination is a delay in an intended course of action and, thus, a self-regulation failure hindering growth and well-being. Contrarily, self-regulation is a set of cognitive and metacognitive skills and strategies supporting goal-directed behavior. There is ongoing discussion regarding the extent to which (and the ways in which) promoting…

Research suggests that supportive programmatic structure can assist online doctoral student success, including time to complete the dissertation. However, completely online doctoral students have unique characteristics and needs and are underrepresented in the research literature; therefore, research exploring programmatic factors as related to…

The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…

Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…

Microlearning is a relatively new educational technology that allows students to learn through short, direct segments using various modalities. The nursing profession has used microlearning to provide continuing medical education (CME). The problem addressed through this study was that instructional designers who create microlearning for medical…

"Making Room for Change" is an educational book that will be valuable to anyone involved in secondary education. The book will provide clear examples, research, and personal reflections of how building in flexible time can be different from the historic middle and high school scheduling models. Educators of all ages and levels of…

Activity-centric data gather feedback on students' learning to enhance learning effectiveness. The heterogeneity and multigranularity of such data require existing data models to perform complex on-the-fly computation when responding to queries of specific granularity. This, in turn, results in latency. In addition, existing data models are…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

In many countries the COVID-19 pandemic has been managed through lockdowns including school closures which require parents/guardians to take responsibility for overseeing children's education. Lockdowns also left parents supervising more of their children's informal time. Parenting has always been the subject of adult education, both formal and…