We describe a process for construction and use of a "dashboard" for monitoring the quality of in-person nonformal education programs. We followed the process to develop a 4-H special interest (SPIN) club dashboard, but the steps are applicable to any education program that includes instruction over multiple sessions. The dashboard…

Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing…

Augmented reality is one of the state-of-the-art technologies, which is utilised for educational purposes, in a wide variety of fields. Each year the frequency of academic publications on augmented reality use in education has increased. This study aims to study content analysis of augmented reality studies, used for educational purposes,…

The purpose of this study is to examine the abstracts in 6th International Preschool Education Congress abstract book in terms of research subject, method, model, sample type, data collection tools, data analysis techniques, validity and reliability. This study is a qualitative study and was conducted using document analysis, which is one of the…

This study explores the methodology presented in four leading educational leadership journals for a period of three years to investigate the predominant methodologies reported in journals most read by faculty members in educational administration or leadership programs. This content analysis study uses frequency and percentages to gather data on…

The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…

The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…

This paper describes how a partnership between a large, urban school district and researchers resulted in a process to measure school climate and support schools and the district in school safety efforts. The partnership utilized a comprehensive framework of safe and supportive schools, where constructs such as physical safety and security were…

This paper reports on an integrative literature review of published articles that used either quantitative or qualitative observation methods to research creativity in learning contexts. Observation is an empirical research method used in quantitative and qualitative naturalistic studies focused on understanding behavior and interactions as they…

In this article the authors describe a model that starts from the basics of the OWL (observe, wonder, learn) large-group discussion strategy then moves onto new experiences that serve as the jumping off point for student-generated questions and investigations. The OWL version of a KWL (Know-Want to Know-Learn) process becomes a path to language…

Including students with disabilities requires schoolwide interventions that are implemented with fidelity (adherence). Collection of fidelity data may become problematic when multiple evidence-based treatments exist in one setting. To address concerns around efficiency of data collection, this study hypothesized that the three sampling approaches…

The ongoing datafication of our social reality has resulted in the emergence of new data-based business models. This development is also reflected in the education market. An increasing number of educational technology (EdTech) companies are entering the traditional education market with data-based teaching and learning solutions, and they are…

This paper investigates the impact of publication pressure on the ethics and the scientific integrity in the domain of mathematics and of the arts. Both research fields are specific in their methodology, being that they do not start from a classical hypothesis and researchers in these areas are not knowing what the outcome will be. The research…

Citespace, a visualization-based analysis tool, has been used to analyze the literature data by visualizing the patterns and potential trends of a field. Previous studies show that when used for analyzing the literature in Chinese, Citespace could only conduct very basic analysis, different from its use in analyzing the literature data in English.…

Multiple data collection or research methods exist for evaluating library spaces. Faced with numerous choices and limited time for gathering data, it becomes challenging for information professionals to determine the best way to proceed with evaluating their libraries' physical spaces. There is a gap in the literature on best practices for…