Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…

Background: From previous research among science teachers it is known that teachers' attitudes to their subjects affect important aspects of their teaching, including their confidence and the amount of time they spend teaching the subject. In contrast, less is known about technology teachers' attitudes. Purpose: Therefore, the aim of this study is…

The present study aimed to investigate the role of Socio-Cognitive variables in predicting learning satisfaction in Smart Schools. The population was all the primary school students studying in smart schools in the city of Shiraz in the school year 2014-2015. The sample, randomly chosen through multi-stage cluster sampling, was 383 primary school…

The purpose of this study was to investigate the extent to which leadership styles predict school climate, in order to identify whether a relationship exists between principals' perceived practices of instructional and distributed leadership and their perceptions of school climate (mutual respect and school delinquency), controlling for a net of…

The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely…

Bullying and aggression in schools can have a traumatic and lasting effect on the well-being of children and youths. Using data from the 2013 National Crime Victimization Survey's School Crime Supplement, this study uses a chi-square automatic interaction detection (CHAID) decision tree and logistic regression models to identify factors that…

Dispositions and motivations toward future adult life are crystalized during adolescence, and one of the key agents in this process is student-teacher relationships in the school. Adolescent students can be very sensitive to the differential treatments of teachers toward them and their fellow students, particularly with respect to fairness and…

The objective was to examine the frequency, correlates, and overlap of school disciplinary actions, psychiatric hospitalizations, and police contact among children and adolescents with autism. Survey results from 2525 caregivers of individuals with autism in elementary through high school were examined. Logistic regression was used to examine…

Students cannot learn from feedback unless they pay attention to it. This study investigated relationships between the personal factors of achievement goal orientations, achievement emotions, and attention to feedback in BioWorld, a computer environment for learning clinical reasoning. Novice medical students (N = 28) completed questionnaires to…

Purpose: The purpose of this paper is to develop a quantitative model of problem solving performance of students in the computer-based mathematics learning environment. Design/methodology/approach: Regularized logistic regression was used to create a quantitative model of problem solving performance of students that predicts whether students can…

Learners with autism spectrum disorder (ASD) often exhibit difficulty in the area of reading comprehension. Research connecting the learning needs of individuals with ASD, existing effective practices, teacher training, and teacher perceptions of their own ability to teach reading comprehension is scarce. Quantitative survey methodology and…

A great deal of bullying behavior takes place at school, however, existing literature has predominantly focused on individual characteristics of children associated with bullying with less attention on school-level factors. The current study, comprising 23,215 children (51% boys) recruited from Year 4 or Year 5 (M = 9.06 years, SD = 0.56 years)…

Students of color remain severely underrepresented in many science, technology, engineering, and mathematics (STEM) disciplines, including environmental fields. Although there is a growing body of research on predictors of selecting a STEM major, generally, much less is know about factors, especially at the program level, that predict the…

The purpose of this study was to compare the academic dishonesty (AD) experience of students from Mainland China and Taiwan. Specifically, we investigated students' current self-reported personal AD, their perception of peers' AD, the climate of academic integrity and their awareness of AD's seriousness. Furthermore, we sought to explore the…

This article investigates parental involvement in Korean two-way immersion (TWI) programs from the social capital theory perspective. This study explores the degree to which parental involvement is affected by parents' demographic features and parent-related variables by analyzing data from 454 parents of students enrolled in seven elementary…