Constructivist learning theories have emphasized learners' interactions with the environment, which includes their peers. Therefore, student cooperation/collaboration has been considered crucial in science education. However, although there have been many science cooperative/collaborative learning (CCL) studies reported in Korea, there has been a…

In this dissertation, I establish a research program that uses computational modeling as a testbed for theories of phonological learning. This dissertation focuses on a fundamental question: how do children acquire sound patterns from noisy, real-world data, especially in the presence of lexical exceptions that defy regular patterns? For instance,…

Given the current rapid development of informatization, people will increasingly use online teaching methods to learn for their quality improvement. Starting from the fundamental theories, such as the concept, classification, basic process, task, and method of data mining under the background of Internet Plus, this article analyzes the problems…

Colleges face growing pressures to maintain or enhance the quality of what they offer while being challenged to meet the needs of an increasingly diverse range of students. Staff in higher education face the challenge of supporting students to feel they belong and are valued. The co-creation of teaching and learning is one model in which we may be…

Using data from multiple informants has long been considered best practice in education. However, multiple informants often disagree on similar constructs, complicating decision-making. Polynomial regression and response-surface analysis (PRA) is often used to test the congruence effect between multiple informants on an outcome. However, PRA…

This study investigates the relationship between first-year higher education students' (N = 405) approaches to learning and academic performance on engineering mathematics courses. In addition, we study what combinations of approaches to learning students apply, how these combinations change over time, and whether they are linked to the…

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…

Literature on STEM education outcome in the tertiary context has pursued the construct of non-cognitive attributes distinctly from that of entrepreneurship skills and pedagogical competencies, notwithstanding the inferred indications that the three can be adapted in an integrated model to enhance positive outcomes. This study established that…

Classifications of higher education institutions into categories that are more or less clearly differentiated through prestige and status are legion in the world of higher education. The notion of parallel categories with comparable statuses, such as those of different types of universities, is however much less well understood. This paper…