Previous studies have indicated that students' writing skills benefit from contextualized L1 grammar teaching, in which language structures are observed and analyzed in authentic texts and as embedded into teaching of reading and writing. The contextualized approach is also promoted by the current Finnish curriculum for basic education. This study…

Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

As a high-impact educational practice, service-learning has demonstrated success in positively influencing students' overall development, and much work has been done on investigating student learning outcomes from service-learning. A particular direction is to model students' learning outcomes in the context of their learning experience, i.e., the…

A discussion forum is an indispensable part of a massive open online course (MOOC) environment as it enables knowledge construction through learner-to-learner interaction such as discussion of solutions to assigned problems among learners. In this paper, a machine prediction model is built based on the data from the MOOC forum and the depth of…

Rubric-based observations of pre- and inservice teachers are common practice in schools. Popular observation tools often result in minimal variation in ratings between teachers, require extensive training and time demands for raters, and provide minimal feedback for professional development. Alternatively, direct observation methods are evidenced…

Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for…

In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for artificial intelligence and how to use learning analytics to improve teaching quality and learning outcomes. This study used the…

Purpose: With issues like increasing student dropout rates, low productivity and compromised quality, research in higher education is faced with a number of paralyzing challenges in India. This study aims to locate the role of toxic academic supervision in relation to decreased quality of research. Design/methodology/approach: Following a…

Undecided students who self-identify as uncertain of their academic path represent a unique population to support from an academic advising perspective. In a sample of 257,813 students who entered 243 four-year institutions nationally, this study examined the relationship between students who selected undecided as their intended college major and…

The major challenge of most basic schools is inadequate educational resources despite a conscious effort to constantly provide. This is a result of inaccurate data management leading to inappropriate predictions for effective planning. The actual efficiency of a system is determined by its ability to predict real-life data with speed and accuracy.…

Using a mixed-method approach, researchers examined college instructors' use of a virtual lab simulation library, Labster, students' perceptions of the simulations on their learning and future STEM plans, as well as data from the library to explore patterns of lab use and quiz scores. A detailed look at Contemporary Biology I and Biology II quiz…

Much research has been conducted on teacher retention, student absences, and suspensions. The results of this research have been shaping the education of primary students. Through standardized or achievement tests, instructional leaders determine each student's level of intellectual knowledge. This knowledge is determined through reading, math,…

Management of a classroom setting requires multiple techniques and strategies to be effective. The purpose of this quantitative correlational-predictive study is to examine the relationship between emotional intelligence, age, employee engagement, and classroom discipline management of K-12 teachers in Northeastern Pennsylvania. This study's…

During the last decade an eruptive increase in the demand for intelligent m-learning environments has been observed since instructors in the online academic procedures need to ensure reliability. The research for decision systems seemed inevitable for flexible and effective learning in all levels of education. The prediction of the performance of…

Mastery of mathematics depends on the people's ability to manipulate and abstract values such as negative numbers. Knowledge of arithmetic principles does not necessarily generalize from positive number arithmetic to arithmetic involving negative numbers (Prather & Alibali, 2008, https://doi.org/10.1080/03640210701864147). In this study, we…