This document presents a literature review that analyzes the articulation of modeling and digital technologies in the field of Mathematics Education. The review aims to find evidence of the use of digital technologies in modeling processes and how these practices can change some ways of working with students in the classroom. The results show, on…

This article describes current attempts and steps to expand both services and research about gifted education and talent development programs and educational opportunities for academically talented students in Italy. The laws, procedures, and policies that have been essential to this process are described, as is the outcome, which is the…

Despite extensive interest in the needs of autistic pupils in education, there seems to date to have been no focus on the needs or attitudes of teachers who are autistic. This paper reports on the case study of an autistic trainee teacher during his Initial Teacher Education (ITE) year undertaking a Post Graduate Certificate in Education (PGCE) at…

The purpose of this study is to analyse code-mixing used by social media influencers in Instagram. The method of this research is qualitative method and observation is uded to find the posts of influencers where they use code-mixing. Questioning to the influencers about the reasons they often use code-mixing through Instagram direct message or…

Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…

Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…

In an increasingly data-driven world, facility with statistics is more important than ever for our students. At institutions without a statistician, it often falls to the mathematics faculty to teach statistics courses. This paper presents a model that a mathematician asked to teach statistics can follow. This model entails connecting with faculty…

The purpose of the study was to determine the efficacy of a specific instructional change by engaging teachers in reflecting on the change process using the Concerns Based Adoption Model (CBAM) as an instrument of measurement. Data were collected and analyzed using Stages of Concern questionnaires and Levels of Use surveys as well as interviews to…

Much attention has been paid to the effects of study abroad, especially because of recent increases in participation in such programs. One problem, however, is the selection bias of participants inherent in study abroad programs. The present study examines whether participation in a short-term study abroad program leads to participation in further…

Group Science Learning (GSL) is collaborative problem solving based learning by design to improve collaborative problem solving skills, science process skills, and self-confidence of primary schools teacher candidates. This research aims to analyze the effectiveness of GSL model to improve collaborative problem solving skills and self-confidence…

This study examined the criteria used by prospective mathematics teachers in determining whether a problem was a mathematical modeling problem. Two data collection tools were used in this case study. The first was a written evaluation form which consists of four problems developed by 27 prospective teachers individually that enrolled in a…

In examining the complexity of how higher education institutions integrate and adopt classroom technology, this study explores literature regarding classroom technology integration and acceptance that appears in research articles published from 2012-2018. The literature review of 148 articles was centered on a deeper understanding of faculty…

Engle and Conant's "productive disciplinary engagement" (PDE) framework has significantly advanced the study of learning in mathematics and science. This artilce revisits PDE through the lens of critical education research. Our analysis synthesizes two themes of power: "epistemic diversity," and "historicity and…

Mathematical modelling is increasingly becoming an integral component of mathematical curricular in primary and secondary schools throughout the world. However, in Australia modelling skills are currently rarely found in university teacher preparation courses. Limited experience with modelling processes, as well as a lack of confidence and…

In item response theory (IRT) modeling, the Fisher information matrix is used for numerous inferential procedures such as estimating parameter standard errors, constructing test statistics, and facilitating test scoring. In principal, these procedures may be carried out using either the expected information or the observed information. However, in…