This study delves into the transformative impact of a professional development model (PDM) across three affiliated private schools in Beirut, Lebanon, spanning three years, with a primary focus on nurturing teacher leadership. At the heart of this PDM, teachers assumed the role of trainers, guiding their colleagues during dedicated professional…

Purpose: Mathematical literacy and mathematical problem-solving are crucial abilities that link mathematics content to real life applications, facilitating both mathematics understanding and mathematical processes. The present study aimed to investigate the effectiveness of the STEMEN (STEM and educational neuroscience) teaching model in enhancing…

Causal inference involves determining whether a treatment (e.g., an education program) causes a change in outcomes (e.g., academic achievement). It is well-known that causal effects are more challenging to estimate than associations. Over the past 50 years, the potential outcomes framework has become one of the most widely used approaches for…

Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…

Narratives have a unique capacity to hold attention, challenge assumptions, and create transformative experiences. In this paper, I will draw upon narrative homiletics to show how educators who teach theology or scriptural texts can create learning experiences that follow narrative structure. First, I will discuss the advantages of teaching in a…

This article elucidates a nuanced methodology to embed the Sustainable Development Goals (SDGs) within engineering curricula, grounded in the tenets of the CDIO Standard 3 framework. Given the heightened emphasis on sustainability within contemporary industrial contexts, there is an imperative demand for engineers endowed with sophisticated…

Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging in practice because optimal weights typically depend on knowledge of the underlying data generating process. In this paper, we focus on design-based weights, which do…

We present a simple activity based on the liquid-drop model which allows secondary school students to explore the uses of mathematical models and gain an intuitive understanding of the concept of binding energy, and in particular the significance of positive binding energy. Using spreadsheets provided as supplementary material, students can…

This experimental study explores how source use features impact raters' judgment of argumentation in a second language (L2) integrated writing test. One hundred four experienced and novice raters were recruited to complete a rating task that simulated the scoring assignment of a local English Placement Test (EPT). Sixty written responses were…

Objective: The aim of this study is to investigate the mediating role of digital game addiction in the relationship between school belonging and psychological resilience of adolescents in middle school. Considering school belonging together with digital game addiction may help to better understand the risk and protective factors of psychological…

This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been characterized by ambiguity and controversy. Despite the acknowledged limitations of relying solely on the chi-square test, its careful application can…

The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored contributing factors to this crisis, the issues related to analytical tools have received less attention. This study focuses on a widely used analytical tool -…

Resilience--the ability to persist, bounce back, and achieve, despite setbacks or challenges--is an important predictive and protective factor for university students' personal and academic success. Qualitative research at one large U.S. land-grant university investigated faculty and student perceptions of how and why academic service-learning…

The success of students with disabilities (SWDs) depends on access to high-quality general education teachers. Yet, teacher value-added measures (VAMs) generally fail to distinguish between effectiveness in educating students with or without disabilities. Using data from the Los Angeles Unified School District, we create two VAMs: one focusing on…

Because of the need to provide fine-grained longitudinal diagnostic feedback, longitudinal cognitive diagnosis is an emerging approach that integrates cross-sectional cognitive diagnosis models (CDM) with longitudinal data analysis techniques. By adopting the generalized longitudinal higher-order log-linear CDM, this study attempted to track the…