There is an increasing number of datasets with many participants, variables, or both, in education and other fields that often deal with large, multilevel data structures. Once initial confirmatory hypotheses are exhausted, it can be difficult to determine how best to explore the dataset to discover hidden relationships that could help to inform…

Two problems at two different abstraction levels of computational biology are studied. At the molecular level, efficient pattern matching algorithms in DNA sequences are presented. For gene order data, an efficient data structure is presented capable of storing all gene re-orderings in a systematic manner. A common characteristic of presented…

In this study, it is aimed to investigate the conducted researches in Turkey in the field of preschool science education in a comprehensive manner between the years 2016-2019. In this study, thematic content analysis method was used and the journals were examined which were indexed by DergiPark databases and published in social and human sciences.…

Accessible learning analytics available from the data within learning management systems, can assist with teaching and learning practices, but often this data is difficult to interpret. Learning analytics, specifically those presented in visual-form, can provide information that supports learners' reflection and guides them to the necessary…

Economic education is distributed unequally. Among U.S. undergraduates, women and underrepresented minority students collectively major in economics at 0.36 the rate that white, non-Hispanic men do. The authors establish a definition of full inclusion in economic education and use that definition to evaluate the status quo and to compare…

This study is intended to explore challenges in writing master theses from postgraduate English as Foreign Language (EFL) students' and supervisors' perspectives. To do so, 40 EFL postgraduate students and 10 supervisors were selected nonrandomly based on availability sampling from five major Iranian universities. Qualitative data were gathered…

The purpose of this study was to evaluate the acceptability and usability of an online training to prepare Expanded Food and Nutrition Education Program (EFNEP) educators to collect 24-hr dietary recalls using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24). Fifty-eight educators in 17 states were recruited to take the…

Introductory undergraduate courses present an opportunity to use disciplinary concepts in solving authentic problems. Making complex natural systems accessible to students through computer-based models allows them to practice making evidence-based predictions and communicate understanding. Despite the importance of modelling tools in formal…

Biostatistics courses are integral to many undergraduate biology programs. Such courses have often been taught using point-and-click software, but these programs are now seldom used by researchers or professional biologists. Instead, biology professionals typically use programming languages, such as R, which are better suited to analyzing complex…

Contribution: An automated methodology that provides visualizations of students' free text comments from course satisfaction surveys. Focusing on sentiment, these visualizations reveal learning and teaching aspects of the course that either may require improvement or are performing well. They provide educators with a simple, systematic way to…

In the last decade, commercial Unmanned Aerial Vehicles (UAVs) have become more accessible for use in civil roles such as scientific research. Despite their increasing use in research, there has been little investigation of their potential use as an educational tool in Geoscience. This small-scale mixed methods research investigated the potential…

As digital data become increasingly central to education, hopes for educational equity are pinned more strongly on educational technology providers. This paper examines the data practices of edtech providers who are not simply making token gestures towards justice and equality. Drawing on ethnographic interviews and Berlant's notion of cruel…

The Rapid Assessment of Cognitive and Emotional Regulation (RACER) is a tablet-based assessment tool for children that measures executive function (EF) skills. Instructions that are brief and visually presented; game-like tasks are designed to easily engage children regardless of literacy level and variable test administration settings. RACER…

Under both No Child Left Behind and the Every Student Succeeds Act, school leaders have been mandated to employ data-driven decision-making (DDDM) to diagnose student needs, implement targeted supports, and design school improvements. However, district administrators tasked with developing principals' DDDM capacity face a tough road. The authors…

In the last decades, most countries have adopted data-intensive policy instruments aimed at modernizing the governance of education systems, and strengthening their competitiveness. Instruments such as national large-scale assessments and test-based accountabilities have disseminated widely, to the point that they are being enacted in countries…