Education boosts any nation's economy. Sri Lankan higher education is competitive. Because only 15% of students who take the General Certificate Examination in Advanced Level (G.C.E A/L) are qualified to enter public universities, every student struggles to get into university. Some ineligible public college students attend private universities,…

Team-based learning (TBL) is an instructional strategy where students participate in a set of activities including, applying course concepts to real-life case studies in instructor-selected teams. Here, we describe how TBL has been incorporated into a 3rd year, large, environmental chemistry course and investigate the benefits of using this…

This dissertation discusses the relationship between teacher sensemaking, attributions, and instructional adjustments prompted in response to student performance data. Through this qualitative observation study, this paper explores the varying perspectives of teachers, including their level of assessment literacy, and the dynamics of their…

This study applied Simulation Investigation for Empirical Network Analysis to disentangle friendship selection and influence regarding the academic achievement of Chinese adolescents in a 3-year longitudinal study of 880 middle school students (400 girls, Year 1 mean age = 13.33) and 525 high school students (284 girls, mean age = 16.45). Both…

This research draws upon a qualitative intrinsic case study methodology to gather perceptions of 15 school leaders in the province of Alberta, Canada, around social and emotional competencies in relation to their own leadership, school culture, and student learning. The premise behind this study is that school leaders who are socially and…

In the US, teacher attrition is a widespread issue. Attrition rates in the United States are quite high, hovering around 8% over the last 10 years, and they are significantly higher for new teachers and teachers in high-poverty schools and districts (compared to high-achieving jurisdictions like Finland, Singapore, and Ontario, Canada, where only…

The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…

Data-driven decision making (DDDM) is an important teaching practice that can positively influence student achievement by using assessment data to make instructional decisions. The problem is that teachers do not always use this practice. Teachers' perspectives of DDDM can influence their data use practices. This basic qualitative study was…

Teaching statistics to undergraduate business students is an enduring challenge, often due to student apprehension and low understanding of relevance. The Data to Decision Project is an approach designed to address this challenge. At the onset of an introductory statistics course, fifty-two students received instruction on the Define, Collect,…

Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…

This research explores the effect of orientation advice (OA), which is an instrument aimed at supporting pupils during their first transition from middle to high school. We investigate whether being 'ambitious' (i.e. rejecting OA and choosing a more challenging track) influences grade 9 retention probability. Data from 28 schools from Piacenza…

Background: Peers constitute an important developmental context for adolescent academic behaviour providing support and resources to either promote or discourage attitudes and behaviours that contribute to school success. When looking for academic help, students may prefer specific partners based on their social goals regarding academic…

This study synthesizes theories of achievement motivation to better understand the development of academic task values in high school students and their relation to college major selection. We utilize longitudinal structural equation modeling to understand how grades relate to task values, how task values across domains relate to one another over…

The simple average of student growth scores is often used in accountability systems, but it can be problematic for decision making. When computed using a small/moderate number of students, it can be sensitive to the sample, resulting in inaccurate representations of growth of the students, low year-to-year stability, and inequities for…

Data-driven decision-making (DDDM) in public K-12 education is a concept that has been studied extensively over the last 20 years. Using data to inform or make decisions is believed to be an important and valuable strategic process. This exploratory, descriptive research focused on public school principals and their use of data in their…