We discuss our experience in teaching data analytics, and in particular prescriptive analytics, to students in business schools using an inter-coherent case study, where a managerial decision is decomposed into a series of research problems with interlocking analyses and the outcome of one analysis is the input of other analysis. Students who…

This report presents a summary of results from a 2024 survey of School Boards, developed by NZCER in collaboration with Te Whakaroputanga Kaitiaki Kura o Aotearoa--New Zealand School Boards' Association, and with assistance from the Kokirihia Collective. NZCER plans to use the findings to inform the school professional learning and development…

Using a research project that explored the college-going strategies of Black high school students and educators during the 2020-2021 school year, this case study addresses research concerns that were raised in the context of COVID-19 and the 2020 global movement in defense of Black lives. More specifically, this case study addresses two types of…

College students with attention/deficit-hyperactivity disorder (ADHD) exhibit difficulty in lecture notetaking, which may exacerbate persistent academic difficulties. Higher ADHD symptoms are related to slower handwriting speed (HWS), potentially disrupting learning during the notetaking process. This study investigated whether typing notes could…

This methods-focused article attends to the mechanics of participant drawing as a data collection tool in qualitative research. Writing studies researchers undertaking qualitative research benefit from a wealth of handbooks on how to design methodologically sound studies. However, despite interest in visual research methods, little guidance is…

Business analytics is an emerging and prominent tool in many industries seeking to exploit the advantages of data-driven decision making. Simultaneously, educational institutions are developing and delivering business analytics offerings to equip business professionals with the tools necessary to implement business analytics in modern businesses.…

Purpose: This study aims to examine the absorptive capacity of an elementary school participating in a multi-year research-practice partnership (RPP) focused on increasing data science instruction through curriculum development. This research considers how data science initiatives might be sustained with fewer supports from the research team as…

Using research evidence to guide higher education policies and practice may help to promote rich learning experiences and long-term success for all students. This essay explores paths for research on the use of research evidence in higher education and proposes three considerations for researchers engaging in this work. First, to improve the…

Background/purpose: It revisits Partial Least Squares Structural Equation Modeling (PLS-SEM) as a robust tool for analyzing non-normal data and small samples, offering predictive modeling advantages. This study also compares the merits, practical applications, and added value of both tools in tackling complicated research issues, notably in…

Background/purpose: The current study aimed to investigate the extent to which collaborative educational applications based on connectivism theory are used to organize big data and their impact on university students' digital self-efficacy. Materials/methods: The researcher adopted a descriptive survey approach to examine the effectiveness of the…

This toolkit offers guidance on how to implement efficient, engaging, and effective enhanced outreach to students. It includes both messaging strategies and ways to analyze the results of outreach messaging to determine what is working and what is not. The guidance in this toolkit explains how to craft messages and analyze engagement data to…

Aim/Purpose: One of the main objectives of higher education institutions is to provide a high-quality education to their students and reduce dropout rates. This can be achieved by predicting students' academic achievement early using Educational Data Mining (EDM). This study aims to predict students' final grades and identify honorary students at…

To respond to the needs of digital transformation, universities must continue to play their role as proving ground for educating the future generation and innovation. The article is devoted to overview, discussion, and investigation of application in higher education of two modern information technologies: big data and internet of things. The…

Keystroke logs provide a comprehensive record of observable writing processes. Previous studies examining the keystroke logs of young L1 English writers performing experimental writing tasks have identified writing processes features predictive of the quality of responses. Contrarily, large-scale studies on the dynamic and temporal nature of L2…

The COVID epidemic has provided an excellent example of the need to call on a wide variety of statistical tools to address a global problem, and can give students insights into some of the dimensions of data science. Here, we describe some of the characteristics of data that students encounter as citizens. We set out some teaching ideas, which…