Bullying victimization is a school problem that warrants attention. While most work has focused on understanding bullies and victims, it is important that research explore how to promote bystander behavior during bullying as a mechanism to deter bullying in schools. Perceptions of the school climate may impact the likelihood of a student's…

Pro-environmental behaviour is imperative to promote sustainable management and consumption of energy in the fight against climate change. The Theory of Planned Behaviour (TPB) has been widely used to explain and predict behaviour in a multitude of behavioural domains including pro-environmental behaviour. However, the TPB does not prioritise the…

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…

With the advent of closed-circuit television systems (CCTV) in the era of technology, a massive amount of video data is generated daily. CCTV are installed at several educational institutions to monitor students' behavior and ensure their safety. Human activity monitoring is done manually. Abnormal human actions refer to rare or unusual actions in…

Understanding learners' behavior is the key to the success of any learning process. The more we know about them, the more likely we can personalize learning experiences and provide successful feedback. This paper presents a feedback model implemented in a ubiquitous microlearning environment based on contextual and behavioral information and…

In this brief, we outline the five components of the ISLA model, as well as steps that school and district teams can take to begin implementing these practices within their positive behavioral interventions and supports (PBIS) framework. Key Takeaways: (1) The ISLA model was created to support teachers, staff, and students by focusing on…

Strategies are an important component of self-regulated learning frameworks. However, the characterization of strategies in these frameworks is often incomplete: (1) they lack an operational definition of strategies; (2) there is limited understanding of how students develop and apply strategies; and (3) there is a dearth of systematic and…

The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…

The purpose of this study is to examine the perspectives to which high school teachers are oriented when facilitating classroom discipline management. An explanatory mixed method design was conducted with both a quantitative (questionnaire administered to a sample of a high school teachers) and qualitative (written incidents provided by the high…

Outdoor environmental education programs frequently aim to influence participants' environmental values and behaviors. Published studies have frequently documented their success in doing so. However, few studies have examined the characteristics of programs in relation to accomplishing those goals. Using characteristics identified as important in…

The present study reports findings from a school-level randomized controlled trial (RCT) of the Double Check cultural responsivity and student engagement model. Consistent with the focus of this special issue on the conceptual and methodological advances for understanding contextual, identity, and cultural effects in intervention research, we…

Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…

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…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

Adaptation to change is not an easy process and sometimes does not happen at all. When people perceive that their freedom is going to be altered due to an unwanted change, they outwardly exhibit some symptomatic reactive behaviors such as inertia, resistance, skepticism, and aggression. No matter how intense people's reactance is, only a few of…