In this article, a large data set containing every course taken by every undergraduate student in a major university in Canada over 10 years is analysed. Modern machine learning algorithms can use large data sets to build useful tools for the data provider, in this case, the university. In this article, two classifiers are constructed using random…

With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…

Student dropout is a major concern in studies investigating higher education retention strategies. However, studies investigating the optimal time to identify students who are at risk of withdrawal and the type of data to be used are scarce. Our study consists of a withdrawal prediction analysis based on classification trees using both…

Based on the quantitative analysis of L2 English texts from Korean undergraduates, the present paper demonstrates the possibility of distinguishing L2 speaking proficiency with differing measures of syntactic complexity in English writing. To this end, 14 measures of complexity were gauged using an L2 Syntactic Analyzer (Lu, 2010) in 89 EFL essays…

Six experiments investigated variables predicted to influence subjects' tendency to classify items by a single property ("rule-based" responding) instead of overall similarity, following the paradigm of Norenzayan et al. (2002, "Cognitive Science"), who found that European Americans tended to give more "logical"…

This study investigates two areas to increase the understanding of university patenting activity using raw data recently made available through the U.S. Patent and Trademark Office PatentsView application. First, the study assesses the relationship of institutional characteristics to the number of patents granted, and the subject fields of those…

In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that…

The Bottleneck Hypothesis argues that properties of inflectional morphology explain why second-language learners may face persistent difficulties in articulating meaning in target-language forms. In particular, the acquisition task proves even harder when first and second languages differ in the way they organize the mapping of functional features…

Developing tools to support students and learning in a traditional or online setting is a significant task in today's educational environment. The initial steps towards enabling such technologies using machine learning techniques focused on predicting the student's performance in terms of the achieved grades. The disadvantage of these approaches…

Objectives: This study examines the effectiveness of interventions in first-year math courses in higher education. Our goal is to investigate the efficacy of a supplemental support requirement on the passing rates of students in their first-year math courses. Method: We gathered and analyzed data on 3,249 students using descriptive statistics and…

This report examines the role of English learner (ELs) status in four-year college enrollment and bachelor's degree completion among Houston Independent School District (HISD) high school graduates. We divide students into four groups: students who are never classified as EL (hereafter referred to as "Never EL" students), ELs who are…

Research on variables related to test performance has produced mixed results. Typically, research of this type involves only a few variables. In an attempt to obtain a more complete picture, we investigated how test grades might be related to variables such as classification, student seating location, test completion time, predicted grade, time…

Three studies (N = 1119) were conducted to replicate and expand upon Kearney, Plax, Hays, and Ivey's seminal research on instructor misbehaviors. In study 1 (n = 233), a replication of Kearney et al.'s study revealed 43 categories of perceived instructor misbehaviors; 27 of the misbehaviors were originally identified by Kearney et al. and 16 new…

This study examines the concurrent relationships between phoneme awareness, visual-verbal paired-associate learning, rapid automatized naming (RAN), and reading skills in 7- to 11-year-old children. Path analyses showed that visual-verbal paired-associate learning and RAN, but not phoneme awareness, were unique predictors of word recognition,…

Background: In separate studies and research from different perspectives, five factors are found to be among those related to higher quality outcomes of student learning (academic achievement). Those factors are higher self-efficacy, deeper approaches to learning, higher quality teaching, students' perceptions that their workload is appropriate,…