This account describes my research experiences as a doctoral student in education, seeking to understand what transition to Higher Education was like for undergraduate students. I was supported throughout the process by my colleague and supervisor Dr Jane Tobbell. I conducted ethnographic research and the case study provides an account of the…

While the systematic review process is intended to maximize objectivity and limit researchers' biases, examples remain of discordant recommendations from meta-analyses. Current guidelines to explore discrepancies assume the variation is produced by methodological differences and thus focus only on the study process. Because heterogeneity of…

Sensor technologies are increasingly part of everyday life, embedded in buildings (movement, sound, temperature) and worn on persons (heart rate, electro-dermal activity, eye tracking). This paper presents a theoretical framework for research on computational sensor data. My approach moves away from theories of agent-centered perceptual synthesis…

This paper briefly presents the linguistic theoretical principles in Portuguese-speaking countries that do not enhance the representation of most local languages in digital space, in national space, and particularly in the formal public space of teaching and learning. It proposes the understanding of theoretical linguistic thought in Brazil as…

This article provides an overview of the R package lsasim, designed to facilitate the generation of data that mimics a large scale assessment context. The package features functions for simulating achievement data according to a number of common IRT models with known parameters. A clear advantage of lsasim over other simulation software is that…

Many countries have focused on the improvement of education system performance. Small number of studies consider system of a country as unit of assessment where indicators represent all levels of education system. In the paper, we propose the methodology for the performance analysis of education systems as a whole hybridizing Data Envelopment…

We describe the benefits and challenges of engaging in public data mining methods and situate our discussion in the context of studies that we have conducted. Practical, methodological, and scholarly benefits include the ability to access large amounts of data, randomize data, conduct both quantitative and qualitative analyses, connect educational…

The "Texas Higher Education Data" website offers policymakers, students, parents, K-12 educators, media, researchers, and faculty a collection of education data designed to help shape policy and inform initiatives that will move Texas closer to achieving the goals of the "60x30TX" strategic plan and will lay the foundation for…

The sudden outbreak of COVID-19 has forced teachers at all levels to adjust their teaching styles. Nearly every instructor is teaching in ways that are entirely new (at least to them). Online methods have jumped suddenly from à la carte options to essential components of instructional delivery at all levels from pre-kindergarten to higher…

Many agree that education needs new goals that reflect the demands of the future. These are often called 'Future Skills', referring to the knowledge, attitudes, values, skills, and competencies intended to prepare learners for the future. The need to teach such Future Skills is often cited, justified by the perception that the future will present…

Our research community has limited understanding about the potential of video. This paper uses double stimulation and transformative agency to analyse two video modalities, extraction, and reflection; in a study about learning as it develops through family interactions. As researchers we were interested in children's motives. However, the children…

With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…

The purpose of this qualitative, descriptive study was to explore how STEM professionals described the influence of collective impact conditions on their educational ecosystems for high school students in the US. The framework was collective impact as supported by transformational leadership theory. The research was guided by five research…

Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…

The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that…