This paper presents a systematic literature review of using Machine Learning (ML) techniques in higher education career recommendation. Despite the growing interest in leveraging Artificial Intelligence (AI) for personalized academic guidance, no previous reviews have synthesized the diverse methodologies in this field. Following the Kitchenham…

The purpose of this paper is to propose a framework to guide the study of classroom factors that promote student functioning and development within classroom settings. First, we describe a new framework, "Classroom Carrying Capacity," to categorize factors in the classroom as limiting or resource factors across four domains: external,…

We propose a novel approach for modeling judgment accuracy that, for the first time, allows for simultaneously considering the rank, level, and differentiation component, the predominantly applied operationalization of teacher judgment accuracy. These components are conceptualized as latent, unobserved individual abilities. The model is introduced…

This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction to building and optimizing custom deep learning models and shows how to adapt them to estimate/predict heterogeneous treatment effects. It also discusses ongoing work to…

Doctor-patient communication is a core competency in medical education, which requires learners to adapt their communication flexibly to each clinical encounter. Although conceptual learning models exist, information about how skilled communication develops over time is scant. This study aims to unpack this process of communication learning and to…

This study aims to reveal the possible benefits of incorporating the Broadwell-Burch four-stage model of competence development into mathematics teacher training. First, a historical overview is given about the appearance of the four-stage model starting from the original sources by Broadwell and Burch arriving at today's widespread use in the…

Research paradigms offer a way for scholars to design, communicate, and reflect on their research effectively. A paradigm encapsulates the researcher's worldview, including the epistemology, ontology, and axiology of the research. Researchers are often initiated, whether explicitly or implicitly, into particular paradigms through graduate study.…

Teacher classroom teaching behavior indicators serve as a crucial foundation for guiding instructional evaluation. Existing indicator system suffers from limitations such as strong subjectivity and weak contextual generalization capabilities. Generalized category discovery (GCD) enables automatic data clustering to identify known categories and…

The author introduces the playful-tension model, a new theoretical concept, to harmonize the gap in play design between general play theory and its actual use in designing playthings. By synthesizing a broad selection of general play theory into a single theoretical concept, the playful-tension model accentuates the delicate interplay of what he…

Hornberger's Continuum of Biliteracy (CoBi) model is a precursor to approaches such as translanguaging and the New London Group's multiliteracies. CoBi enables us to analyse and address language and literacy practices in education in a structured way. In this paper, I reflect on the explanatory power of CoBi in education in the Global South,…

The question of integrating learning content into a serious game is a recurring one, although no clear theoretical framework has yet been provided. It is often argued that integration should occur at the core mechanic level, but this simple statement conceals the complexity of serious game design. The authors therefore propose a theoretical…

Leadership teams have real power to drive improvement in schools by harnessing multiple experts' valuable perspectives and collaborative capacity. Even seasoned team members may not recognize their potential to address a persistent challenge in education: sustaining improvements over time. Fortunately, such sustainability can be intentionally…

The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…

In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal…

In this article, we advocate for and propose a novel concept map driven knowledge tracing (CMKT) model, which utilizes educational concept map for learner modeling. This article particularly addresses the issue of learner data sparseness caused by the unwillingness to practice and irregular learning behaviors on the learner side. CMKT considers…