Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

As vast amounts of data have become available in business in recent years, the demand for data scientists has been rising. The author of this article provides a tutorial on how one entry-level machine learning competition from Kaggle, an online community for data scientists, can be integrated into an undergraduate econometrics course as an…

Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…

To seek out and find teachers who perform at a high level to meet the demands of education today, educational leaders need to possess the abilities, or a system, to identify those individuals with the natural ability to become leaders in the classroom, facilitate the learning process, and succeed in moving the practice of education into new…

Learning curves are a useful way of representing the rate of learning over time. Features include an index of baseline performance (y-intercept), the efficiency of learning over time (slope parameter) and the maximal theoretical performance achievable (upper asymptote). Each of these parameters can be statistically modelled on an individual and…

This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…

This study proposes a model for describing the situation of Digital Teaching and Learning ("TD-TaL") in Ghanaian schools using the perspectives of basic school teachers. The Digital Teaching and Learning model was developed based on the theories of Valsiner's Zone of Free Movement ("ZFM") and Zone of Promoted Action…

In our paper we describe a newly developed teacher coaching model that provides training on motivational interviewing (MI) to improve instructional coaches' effectiveness with classroom teachers. Participants were 38 coaches who completed a three-day coaching training. At pre- and post-test, the participants completed role plays with an actor who…

This study examined which teaching methods are most highly correlated with student progress on relevant course objectives in first- and second-year (lower-level) general education courses. We specifically sought to identify teaching methods that distinguish progress made by students taking a general education course from that made by students…

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…

Today, students are expected to access, analyse and synthesise information, and work cooperatively. Their learning environment, therefore, should be equipped with appropriate tools and materials, and teachers should have instructional abilities to use them effectively. This study aims to propose a model to improve teachers' instructional abilities…

The present study examined the role of morphological awareness in second language (L2) Chinese vocabulary acquisition through an investigation of linguistic universality and specificity underlying morphological awareness. Morphological awareness in this study was conceptualized as a universal and sharable cognitive resource as well as a…

Data analysis techniques can be used to analyze the pattern of data in different fields. Based on the analysis' results, it is recommended that suggestions be provided to decision making authorities. The data mining techniques can be used in educational domain to improve the outcome of the educational sectors. The authors carried out this research…

The authors' data contain inter- and intra-class variations in experiments to which students in a principles of microeconomics course were exposed. These variations allowed the estimation of the effect on student achievement from the experimental treatment generally, as well as effects associated with participation in specific experiments. The…

This paper illustrates how a third statistic from asset pricing models, the R-squared statistic, may have information that can help in portfolio construction. Using a traditional CAPM model in comparison to an 18-factor Arbitrage Pricing Style Model, a portfolio separation test is conducted. Portfolio returns and risk metrics are compared using…