Since the late twentieth century, with the development of the Internet of Things (IoT), the IoT covers the application of comprehensive knowledge and technology in the fields of circuitry, physics, mechanics, and information, making it a suitable topic for hands-on science, technology, engineering, and mathematics (STEM) activities. The IoT covers…

We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…

We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…

Attempts have been made to identify behavior patterns peculiar to leadership by many institutions and organizations; also numerous studies have been conducted in this area. Of all these organizations, The Interstate School Leaders Licensure Consortium (ISLLC) identifies the definitive standards of school leadership. Examining these standards in…

Evidence points to associations between the socioeconomic composition of neighborhoods and children's and adolescents' development. A minimal amount of research, however, examines how timing of exposure to neighborhood socioeconomic conditions matters. This study used longitudinal data from the NICHD Study of Early Child Care and Youth Development…

A personalized e-learning service provides learning content to fit learners' individual differences. Learning achievements are influenced by cognitive as well as non-cognitive factors such as mood, motivation, interest, and personal styles. This paper proposes the Learning Caution Indexes (LCI) to detect aberrant learning patterns. The philosophy…

Simulation models provide decision support to long-term planning processes. The Bergen Learning Environment for National Development (BLEND) is a game based on a simplified version of Millennium Institute's Threshold 21 model (T21) that sensitizes policy makers in sub-Saharan African nations to the need for simulation-based decision support. The…

Objective: The study investigates behavioural, academic, cognitive, and motivational aspects of functioning in school-age children with attention-deficit/hyperactivity disorder (ADHD) with and without an executive function deficit (EFD). Method: Children with ADHD - EFD (n = 22) and children with ADHD + EFD (n = 26) were compared on aspects of…

Effective school leadership is key to students' academic success. But the development of effective school leadership has been seriously hampered by the lack of technically sound tools to assess and monitor leaders' performance. This article presents the research base and conceptual framework for a leadership assessment instrument under…

Because person-organization fit relates to important outcomes, and because fit is a time-dependent process, there exists a need to model longitudinal data related to fit. In a multi-university sample (N=1174), we tested hypotheses concerning person-organization fit and various behavioral and attitudinal outcomes; correlations between changes in…

Summarizes a study that tested a theoretical model concerning elementary and secondary school principals' influence on student achievement. Results showed that 3 latent instructional leadership variables (school governance, instructional organization, and school climate) affected student achievement. Includes 54 references. (MLH)

An attempt was made to build a structural model of the relationships over time among intrinsic motivation, self-efficacy, and self-regulated learning. Structural equation modeling using the LISREL computer program was used. The presented model put the motivational constructs of intrinsic motivation and self-efficacy as temporally preceding…

A model of parental inducement of academic self-regulation was tested with 105 elementary school students who were surveyed to assess their perceptions of parental influences on their academic self-regulation and their own self-regulatory behavior. Findings indicate the importance of parental inducement to academic self-regulation. (SLD)

Examined relationships between family financial resources, academic competence, and socioemotional adjustment during early adolescence. Subjects were 90 African American youths and their married parents in the rural South. Found that parents with greater financial resources were less depressed and more optimistic, and their children were better…