An effective educational program warrants the inclusion of an innovative construction that enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational decision support system has currently been a hot topic in educational systems, facilitating the pupil…

The purpose of this paper is to analyze the use of the exemplar methodology (ExM) as a method for selecting exemplars in education research. ExM is a systematic approach to selecting outliers that can be used to education researchers who investigate outliers to better understand phenomena among students, teachers, schools, and communities. While…

This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…

It is timely to take stock of the wellbeing of educational research in Aotearoa New Zealand. The major Education Work Programme 2021 includes a Research, Evaluation and Development Strategy. Te Ara Paerangi--Future Pathways Green Paper has launched a major review of the design of public funding for research institutions and for research taking…

The use of codebooks to categorise qualitative data and to increase consistency in coding between multiple researchers is a well-established strategy in qualitative research. However, due to the focus on team-based research projects, the possibilities for the use of codebooks by individual researchers are rarely discussed. With the aim of adding…

This article discusses estimation of average treatment effects for randomized controlled trials (RCTs) using grouped administrative data to help improve data access. The focus is on design-based estimators, derived using the building blocks of experiments, that are conducive to grouped data for a wide range of RCT designs, including clustered and…

The Stanford Education Data Archive (SEDA) launched in 2016 to provide nationally comparable, publicly available test score data for U.S. public school districts. I introduce a special collection of six articles that each use SEDA to lend their questions and findings a national scope. Together, these articles demonstrate a range of uses of SEDA…

A reproducible analysis is one in which an independent entity, using the same data and the same statistical code, would obtain the exact same result as the previous analyst. Reproducible analyses utilize script-based analyses and open data to aid in the reproduction of the analysis. A reproducible analysis does not ensure the same results are…

This article presents a descriptive, critical analysis of the comparability of information concerning students, teachers, and school resources gathered by organisations within government jurisdiction, and the pitfalls for the unwary researcher using government data banks. Differences in the method of compiling information about citizens, and…

Education researchers are increasingly interested in applying data mining approaches, but to date, there has been no overarching exposition of their methodological advantages and disadvantages to the field. This is partly because the use of data mining in education research is relatively new, so its value and consequences are not yet well…

In this chapter, we explore the obligations for individuals and institutions that emerge from the newfound insights that are enabled through learning analytics. While ethical concerns are raised through learning analytics, a misplaced trend is a "do nothing" approach as a way to assure we "do no harm." We suggest that this is a…

The last 20 years have seen a growing interest in researching pedagogy in Higher Education with action researchers playing a part in this growth. However, there are few studies that analyse the educational influences in learning of the action researcher in their own pedagogy in Higher Education. Hence the focus of this paper on enhancing…

As universities are undergoing transformations produced by trends towards marketisation, massification, new public management, and 'third mission' of socio-economic impact, higher education (HE) researchers are increasingly concerned with the implications of the HE sector change on academic practice, professional identities, and even wellbeing.…

This paper examines visions of 'learning' across humans and machines in a near-future of intensive data analytics. Building upon the concept of 'learnification', practices of 'learning' in emerging big data-driven environments are discussed in two significant ways: the "training" of machines, and the "nudging" of human…

Purpose: The primary goal of this commentary was to consider the future directions that researchers dealing with levels and regulation of strategies and with approaches to learning may wish to pursue in the years to come. Procedure: In order to accomplish this goal, the first step was to look for any common ground shared by authors contributing to…