The 2016 Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report emphasized six recommendations to teach introductory courses in statistics. Among them: use of real data with context and purpose. Many educators have created databases consisting of multiple datasets for use in class; sometimes making hundreds of…

Research consistently has found teachers' use of assessment data for instructional purposes challenging and inconsistent. To support teachers' use of data, we need to develop shared knowledge about how data are and can be used to advance teaching and learning. However, the literature on the specific actions teachers take is inconsistent, creating…

The progressively global, neoliberal, privatised, and digital education environment poses new methodological challenges for educational researchers, prompting a need to innovate. It has been suggested, however, that better commentary and reflection on methodological innovation in education is required. This paper considers the benefits and…

Collecting data in a mobile augmented reality (AR) settings is challenging, as participants are dispersed in the physical space and move often; therefore, it is imperative that new techniques are investigated to facilitate richer and more ecologically-valid data collection. This study examined three in vivo techniques for collecting authentic data…

Objective: To understand how missing data may influence conclusions drawn from campus sexual assault surveys. Methods: We systematically reviewed 40 surveys from 2010-2016. We constructed a pseudo-population of the total population targeted across schools, creating records proportional to the respective response rate and reported sexual assault…

Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and questionnaires. This approach presents several weaknesses including the lack of self-awareness of…

This study examines the way teachers make sense of data in the context of high-stakes decision making, such as decisions related to student placement in educational tracks. Different types of data, data collected rationally and intuitively, may be used in this sensemaking process, and the same data may be interpreted in different ways by different…

The "employability" paradigm is beginning to be publicly regarded as one of the key developmental paths and "modernisation" principles of higher education institutions. In this context, the article first overviews the existing practices for tracking graduates' early careers in Europe. Next, it identifies and discusses relevant…

College professors have adopted numerous strategies for teaching undergraduates, yet few researchers provide empirical evidence students' learning actually increased because of the instructional innovation. Assessment of pedagogy is frequently subjective and based on comments from students or faculty. Consequently, evaluating the effectiveness of…

The Common Core State Standards for Mathematics have a widespread impact on children's statistical learning opportunities. The Grade 6 standards are particularly ambitious in the goals they set. In this critique, experiences helping children work toward the Grade 6 Common Core statistics expectations are used in conjunction with previous research…

In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…

Higher education is facing a host of challenges, including external questions regarding its value and purpose. These questions cut to the core of the states' role in higher education. Traditionally, states have the responsibility to ensure that institutions of higher education are operating in the public interest and that the institutions are good…

Administrators at a Southeastern elementary school eliminated single-sex instructional grouping in 5th-grade classes without a proper analysis of all available data and later reflected upon whether this instructional model should be revived. Because data-based decisions may positively improve teaching and learning for all stakeholders, the purpose…

Longitudinal Education Outcomes (LEO) data provides information on how much UK graduates of different courses at different universities are earning, either one, three or five years since graduating. This briefing gives an overview of what LEO data is and how it can be useful to students, policy makers and higher education institutions. It also…

Workforce development organizations often find it challenging to assess how former program participants are faring in the labor market, since they need to rely on participants' willingness to report and verify their job placements after they either leave or complete their programs. The 2013 Unemployment Insurance Data Sharing Bill (S5773A) amended…