Recently, the promotion of science, technology, engineering and mathematics (STEM) education has become the highlight due to the shortage in the STEM workforce. Surprisingly, the enrolment rates in STEM degrees are still low in many countries. Social media has been identified as one of the main platforms that can help to increase prospective…

Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…

Higher education institutions struggle to demonstrate learning improvement (Banta, Jones, & Black, 2009; Banta & Blaich, 2011; Jankowski, Timmer, Kinzie, & Kuh, 2018). We showcase how student learning outcomes assessment processes can benefit from strong program theory and implementation fidelity data. In our example, faculty…

Secondary schools in New Zealand use assessment data for school self-evaluation, but little research has explored exactly how schools are using these data. This case study of selected high schools explored the perspectives of teachers and school leaders whose schools had recently implemented a student assessment tracking and monitoring…

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…

In large-scale assessments, performance differences across different groups are regularly found. These group differences (e.g., gender differences) are often relevant for educational policy decisions and measures. However, the formation of these group differences usually remains unclear. We propose an approach for investigating this formation by…

The synergies that result from synthesising conceptual models and findings from self-regulated learning and formative assessment research are launching a new era of scholarship. They drive new questions about how to help students to internalise complimentary self-regulatory and assessment knowledge, skills, and dispositions as well as how to…

"Doing economics" is an important theme of undergraduate economics programs. Capstone courses increasingly include instruction in "data literacy" and the STEM-related skills of quantitative and empirical methods. Because the professional discipline has moved in this direction and because of greater employer demand for these…

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…

Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative results. Concepts of causal inference can also…

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…

The purpose of this article is to share how one teacher education program at a Midwestern university prepares teacher candidates to analyze student achievement data, which is believed essential as one of the roles a teacher candidate needs in order to develop teacher leadership in the classroom. The authors provide the teacher candidates' relevant…

An Australian longitudinal study of 319 Kindergartners developed, implemented and evaluated an intervention, the Pattern and Structure Mathematics Awareness Program (PASMAP). It comprised of repetitions and growing patterns, structured counting and grouping, grids and shapes, partitioning, additive and multiplicative structures, measurement and…

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…

Using data from a national survey of school psychologists we investigated (a) the extent to which school psychologists supported students' social-emotional and behavioral well-being using data and evidence-based practices programming, (b) how facilitators and barriers impacted school psychologists' service delivery in these areas, and (c) how…