Self-regulated learning (SRL) is a critical 21st -century skill. In this paper, we examine SRL through the lens of the searching, monitoring, assessing, rehearsing, and translating (SMART) schema for learning operations. We use microanalysis to measure SRL behaviors as students interact with a computer-based learning environment, Betty's Brain. We…

The three research papers completed and compiled to make up this dissertation explore the relationship between social presence and social construction of knowledge in asynchronous online discussion forums in higher education courses in the instructional technology field. Paper 1 is a literature review of the interaction analysis model (IAM)…

BACKGROUND: Bullying is more likely to happen in schools than in any other location. The purpose of this study is to use decision tree analyses to predict specific risk factors for bullying to identify areas of interest for school-based bullying prevention. METHODS: We obtained data from the 2013 National Crime Victimization Study (NCVS) School…

Online learning has become more popular in higher education since it adds convenience and flexibility to students' schedule. But, it has faced difficulties in the retention of the continuity of students and ensure continual growth in course. Dropout is a concerning factor in online course continuity. Therefore, it has sparked great interest among…

The early prediction of math difficulties (MD) is important as it facilitates timely support. MD are multifaceted, and several factors are involved in their manifestation. This makes the accurate early prediction of MD particularly challenging. In the present study, we aim to predict MD in Grade 6 with kindergarten-age (age 6) measures by applying…

School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due to COVID-19 pandemic, in this paper we propose a…

Predicting learning and human behavior in general is a challenging endeavor. Machine learning driven predictive modeling have been an increasingly popular means to understand disparities in student performance. With more than a handful of approaches to predictive modeling, the current literature of predicting learning is plagued with issues such…

In recent years, workplace envy has gradually become a hot research topic for organizational behavior. Scholars have explored the antecedents and consequences of envy following the traditional research paradigm. The latest leadership theory also provides new ideas for its development. Although the traditional methods continue to optimize the…

Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…

Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…

Phishing has become a preferred method among cyber criminals looking to gain access to confidential information. Although most businesses and governmental organizations provide employees with some sort of cyber security training, there is a lack of research examining whether such training methods work to actually reduce susceptibility to…

Environmental stewardship is an underlying theme in outdoor education (OE) and environmental education (EE), but maintaining natural areas in a sustainable balance between conservation and preservation requires knowledge about how natural areas respond to anthropogenic disturbance. My five-part study investigated the effects of disturbance on…

Speech of late bilinguals has frequently been described in terms of cross-linguistic influence (CLI) from the native language (L1) to the second language (L2), but CLI from the L2 to the L1 has received relatively little attention. This article addresses L2 attainment and L1 attrition in voicing systems through measures of voice onset time (VOT)…

This study attempts to determine the factors affecting the mathematics achievement of students in Turkey based on data from the Programme for International Student Assessment 2012 and the correct classification ratio of the established model. The study used mathematics achievement as a dependent variable while sex, having a study room, preparation…

Children's emotional and behavioural difficulties are the result of multiple individual, social and contextual factors working in concert. The current paper proposes a theoretical framework for interpreting students' emotional and behavioural difficulties in classrooms, by taking into consideration teacher-student interactions, students' social…