Statistical modeling continues to gain prominence in the secondary curriculum, and recent recommendations to emphasize data science and computational thinking may soon position algorithmic models into the school curriculum. Many teachers' preparation for and experiences teaching statistical modeling have focused on probabilistic models.…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

Classification and Regression Tree (CART) analysis is a statistical modeling approach that uses quantitative data to predict future outcomes by generating decision trees. CART analysis can be useful for educators to inform their decision-making. For example, educators can use a decision tree from a CART analysis to identify students who are most…

The purpose of this work is to identify contextual variables that help to explain the occupational aspirations of Spanish 15-year-old students. This is done by performing a secondary analysis of the PISA2018 test. Data have been analysed using decision trees introducing the students' expected occupational status as a dependent variable (DV), and…

The authors of this article have participated in intensive professional development in the Peruvian Amazon and brought this firsthand experience of the rainforest back to their classrooms. However, the activities presented in this article are designed to be accessible and inspirational to "all students," regardless of whether they or…

Purpose: The purpose of the study is to build predictive models for early detection of low-performing students and examine the factors that influence massive open online courses students' performance. Design/methodology/approach: For the first step, the author performed exploratory data analysis to analyze the dataset. The process was then…

Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…

School administrators face a plenitude of issues throughout the course of a career, many of which necessitate some working knowledge of school law. Administrators are not lawyers, after all, and do not possess anywhere near their level of expertise. Parental and community concerns are often a source of frustration and make for problematic…

Agricultural and environmental literacy are essential public goods, but associated education efforts struggle to reach broad audiences. Understanding learner backgrounds and lived experiences can help address this challenge. We assessed the relative importance of demographics, parent views of agriculture, interactions with farmers and parents, and…

Relationships, such as the advisee/advisor relationship, in academia are typically taught to be used as a resource (a commodity) for the advancement of one's career. Problematizing the advising relationship draws attention to the inherent hierarchies and violence an advisor may perpetuate. In this article, we explore our resistance and healing…

University students in other disciplines without prior knowledge in statistics and/or programming language are introduced to the statistical method of decision trees in the programming language R during a 45-minute teaching and practice session. Statistics and programming skills are now frequently required within a wide variety of research fields…

Scoring of teachers' noticing responses is typically burdened with rater bias and reliance upon interrater consensus. The authors sought to make the scoring process more objective, equitable, and generalizable. The development process began with a description of response characteristics for each professional noticing component disconnected from…

Although language assessments for medical professionals in the UK are changing, there is still a need for them to demonstrate their proficiency in English before working in the National Health Service (NHS). When providing English for specific purposes (ESP) courses for retraining refugee doctors, we need to consider all the potential barriers…

This article describes how three higher education literacy faculty shifted their traditional face-to-face instruction to a combined synchronous and asynchronous delivery in response to the COVID-19 Pandemic and subsequent closure of the university. Faculty share specific lessons that were learned over the first year of the pandemic, and how these…

The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…