Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…

Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

The current study aimed to make students discover the multidimensional structure of Socio-scientific Issues (SSI) using the SEE-STEP model. Nine-step module has been designed to help students' discover the aspects of the SSI in the implementation process of the research. This research was based on qualitative methodology in determining the study…

The objective of this research is to develop a model for life skills training through the strengthening of academic, personal, social, and career competencies for middle school students. We designed this model to equip students with the necessary skills to navigate the complexities of life's challenges. Design-Based Research (DBR) serves as a…

The current study describes the process of a participatory consultation framework, the Participatory Culture Specific Intervention Model (PCSIM), to plan and implement a data-based decision-making framework. The framework integrates proactive and systematic identification of emotional and behavioral needs as well as cognitive psychology techniques…

While network governance in education has been widely discussed in the literature, research focusing on the behaviours of and interactions between pluralist actors is rare, and the power exercised by China's local governments in network governance is under-researched. This study uses school turnaround, a networking process that involves multiple…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

Learning progressions (LPs) are novel models for the development of assessments in science education, that often use a scale to categorize students' levels of reasoning. Pictorial representations are important in chemistry teaching and learning, and also in LPs, but the differences between pictorial and verbal items in chemistry LPs is unclear. In…

Purpose: This paper aims to apply the garbage can model to identify factors that affect managerial decision-making processes in educational systems undergoing reforms. Design/methodology/approach: This paper used a qualitative approach using semi-structured interviews with 39 teachers and managers in schools undergoing a system-wide reform.…

The study employed qualitative methodology, relying on semi-structured interviews, in order to identify and analyze occurrences of the garbage-can decision-making model regarding resource attainment and allocation in Israeli schools. Results indicate that the garbage-can model of decision-making is salient when school principals try to use…

This article explores how TCTELA's 2024 Teachers of the Year forged the future through their literacy teaching at the elementary, middle school, high school, and college levels. Each essay captures how they understand their work as literacy educators and intentionally educate their students toward a brighter future amid trying local contexts. The…

Objective: Socially-relevant and controversial topics, such as the climate crisis, are subject to differences in the explanations that scientists and the public find plausible. Scaffolds can help students be evaluative of the validity of explanations based on evidence when addressing such topics and support knowledge gains. Method: This study…

The schools in the United States undergo reforms that involve the integration of data-intensive improvement process known as strategic improvement plans (SIPs). This process requires digital systems to set goals, create interventions, use and analyse student data, monitor and report SIPs. A challenge with digital systems is the integration of a…

Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…

Education does more than give students facts; it develops their potential and trains them to adapt to and improve their living environment. Through education, students formulate informed ideas about the interactions between people, things, and the environment. In an era of global environmental change, students must understand environmental…