This article presents a pedagogical strategy that uses Chex Mix™ as a visual and physical means of helping students learn data analysis. The manipulative is used to guide students to a deeper level of analysis by looking "within" and "between" data sources. Specific steps are shared about using Chex Mix™ snacks to teach the…

Many recent studies have looked at the viability of applying recurrent neural networks (RNNs) to educational data. In most cases, this is done by comparing their performance to existing models in the artificial intelligence in education (AIED) and educational data mining (EDM) fields. While there is increasing evidence that, in many situations,…

We describe how one department moved from skepticism to wide-spread embrace of coordinated Calculus I. Data played a crucial role in this process. Details of this journey, including successful strategies and missteps, may provide insight and perspective to other departments starting on, or immersed in, similar transformational adventures.

Since the No Child Left Behind Act (No Child Left Behind [NCLB], 2001) was enacted, the Bookmark method has been used in many state standard setting studies (Karantonis and Sireci; Zieky, Perie, and Livingston). The purpose of the current study is to evaluate the criticism that when panelists are presented with data during the Bookmark standard…

This study aims to examine the latest research trends in higher education for business by grasping the key trends, topics, and interrelationship of each subject. For this study, 304 research articles from four international "top-tier" journals were collected in the field of business education for two years 2018 ~ 2019 and analyzed…

Despite the growing number of researches about performance-based accountability (PBA) in education, there is still scarce evidence on the mediating role of subjective variables (e.g., perceived pressure and alignment to PBA mandates) in the enactment of PBA in socially disadvantaged contexts. This is paradoxical because marginalized schools are…

The proliferation of standardized testing and administrative statistics in compulsory education is embedded in the rise to prominence of quantified accountability as a mechanism of education governance. Numbers work by stripping away the contexts of their production and the granular and ambiguous detail of the phenomena they claim to represent.…

International large-scale assessments such as PISA or PIAAC have started to provide public or scientific use files for log data; that is, events, event-related attributes and timestamps of test-takers' interactions with the assessment system. Log data and the process indicators derived from it can be used for many purposes. However, the intended…

Teachers who work with students who display challenging behaviors need to implement interventions to support them in the classroom. A daily behavior report card (DBRC) is one intervention that research suggests can reduce challenging behaviors and replace them with more socially appropriate behaviors. With step-by-step instructions, this column…

The COVID-19 global pandemic has required everyone to make sense of data about community spread, levels of risk, and vaccine efficacy. Yet research shows that students are underprepared in data literacy. Tanya LaMar and Jo Boaler argue that data science education provides an opportunity to address this problem while providing much needed updates…

PISA is an influential international study of the achievement of 15-year-olds. It has a high profile across the devolved nations of the UK, with the results having a substantial impact upon education policy. Yet many of the technical details underpinning PISA remain poorly understood--particularly amongst non-specialists--including important…

Commonly used machine learning applications seem to relate to big data. This article provides a gentle review of machine learning and shows why machine learning can be applied to small data too. An example of applying machine learning to screen irregularity reports is presented. In the example, the support vector machine and multinomial naïve…

Despite its importance, replication has remained in the background of social development research. The aim of this special section was to elucidate and elevate the role of replication in peer relations research, examining its challenges and its utility for moving the field forward. To accomplish this aim, five sets of researchers undertook…

Analyzing the learning analytics from a course provides insights that can impact instructional design decisions. This study used educational data mining techniques, specifically a longitudinal k-means cluster analysis, to identify the strategies students used when completing the online portion of an online flipped spreadsheet course. An analysis…

Test-based accountability policy in the US has resulted in increased availability and use of assessment systems to support instructional decision making. Though limited, literature to date suggests an important role for these systems as tools, mediating teacher knowledge and action. We examine system log data from NWEA's MAP assessment to better…