This article seeks to look below the surface of pedagogical documentation with a temporal lens. We focus on the potentialities of pedagogical documentation as an intertwined research process with children and teachers as learners in 'slow pedagogies' (Clark [2020]. "Towards a Listening ECEC System: Valuing Slow Pedagogy and Slow…

Evidence shows that appropriate use of technology in education has the potential to increase the effectiveness of, eg, teaching, learning and student support. There is also evidence that technology can introduce new problems and ethical issues, e.g., student privacy. This article maps some limitations of technological approaches that ensure…

Automatically collected behavioral data on the location of users of mobile phones offer an unprecedented opportunity to measure mobilization in mass protests, while simultaneously expanding the range of researchable questions. Location data not only improve estimation of the number and composition of participants in large demonstrations. Thanks to…

Permafrost is any soil or surface deposit in an Arctic or alpine region at some depth below the surface at which the temperature has remained below zero degrees Celsius (32 degrees Fahrenheit) continuously for a long period of time. The amount of carbon dioxide and methane stored in permafrost is nearly twice the amount in the atmosphere and, as…

In online surveys, the use of manipulation checks aimed at measuring respondents' attentiveness has become common. More than being measures of attentiveness pertaining to a specific survey, instructional manipulation checks (IMC) could work as generic measures of the quality of the answers a person gives when completing a questionnaire. By using…

Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The…

Scientific progress depends on the integrity of data and research findings. Intentionally distorting research data and findings constitutes scientific misconduct and introduces falsehoods into the scientific record. Unintentional distortions arising from questionable research practices (QRPs), such as unsystematically deleting outliers, pose…

Human resources training is considered an effective solution in empowering human resources. Organizations try to have effective educational planning for this precious resource by identifying shortcomings through a need assessment. This study provides a model based on organizational data analysis to achieve a unique and appropriate training…

Stand-alone reading intervention courses, or reading classes, are designed to facilitate the literacy development of adolescents who have been deemed "struggling" readers. However, the existence of such courses does not mean that these goals are realized. Decades of qualitative research on youth perspectives and experiences have…

Root Cause Analysis (RCA) has been recommended as a specific problem-solving approach for addressing disproportionate discipline outcomes. RCA differs from other problem-solving models through its in-depth analysis that draws from the perspectives of individuals who are impacted by the issue being addressed. When applied to disproportionate…

This systematic review of research on online student privacy in higher education used a strategic search process to synthesize research on online student privacy based on publications trends, research methods, online spaces studied and the focus of the research. A total of 41 articles were analyzed to explore the existing literature on the topic.…

This article documents a year-long collaborative self-study of three teacher educators engaged in a practicum innovation in a teacher education program. This study, which is part of a larger study examining practicum-based seminars called "Particulars of Practice" (POP), focuses on exploring our own practices and identities within this…

There are a variety of discrete facility location models that have practical relevance for operations management and management science courses. Integer linear programming (ILP) is the standard technique for solving such problems. An alternative approach that is often conceptually appealing to students is to pose the problem as one of finding the…

Predicting student performance in Massive Open Online Courses (MOOCs) is important to aid in retention efforts. Researchers have demonstrated that video watching features can be used to accurately predict student test performance on video quizzes employing neural networks to predict video test grades from viewing behavior including video searching…

Game learning analytics (GLA) comprise the collection, analysis, and visualization of player interactions with serious games. The information gathered from these analytics can help us improve serious games and better understand player actions and strategies, as well as improve player assessment. However, the application of analytics is a complex…