This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research…

The use of artificial intelligence (AI) in higher education has mostly focused on issues associated with teaching and assessment. In this paper I used AI to support the analysis of data which consisted of public comments on a newspaper article. This small, low risk research was chosen to demonstrate the potential use of AI and how it may support…

Institutional researchers use skills from their diverse backgrounds to collect, analyze and report data about their institutions to stakeholders representing various interests and levels of data literacy. However, there is little research into how these professionals process data and none into what aspects are important to institutional…

There has been an increasing interest in learning analytics (LA) research especially in higher education (HE) in recent years. In this study, we conducted a systematic focused review of research, from 2016 to present, on using analytics in HE (specifically system- or user-generated data) to understand in what way such analytics has been…

This research took place in a U.K. higher education institution. It was concerned with the professional learning of academic staff and examined what enables and encumbers work-based professional learning. A two-stage photovoice methodology was chosen because it presented two advantages. First, it was the best way of including participants in the…

For this 15th iteration of the International Conference on Educational Data Mining (EDM 2022), the conference was held in Durham, England, with an online hybrid format for virtual participation as well. EDM is organized under the auspices of the International Educational Data Mining Society. The theme of this year's conference is Inclusion,…

With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present study was to explore the role of GAI in the production of new research paying particular…

Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate data coming from many different data sources, which may be stored in different formats and have varying levels of structure.…

Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…

As we become increasingly acquainted with the rich opportunities that analytics systems can provide, there is a commensurate need to consider the extent to which analytics tools are effectively integrated, with proper training, into the day-to-day functioning of higher education professionals. This chapter explores the extent to which predictive…

We turn a critical lens to ethical research practices in the context of 'insider' higher education research. Tensions arise due to the risks involved in navigating academic identity and teacher-researcher authenticity. We offer two case studies where ethical tensions surfaced methodological concerns for researchers and participants. Case study one…

This is a systematic review conducted of primary research literature published between 2007 and 2018 on the deployment and effectiveness of data analytics in higher education to improve student outcomes. We took a methodological approach to searching databases; appraising and synthesising results against predefined criteria. We reviewed research…

To understand how the digitalization of higher education influences the inter-relationship between students, teachers, and their broader contexts, research must account for the social, cultural, political, and embodied aspects of teaching and learning in digital environments. "Digital ethnography" is a research method that can generate…

This work proposes relevant ingredients to highlight the factors with significant impact on efficiency of research structures in higher education. The ingredients in question include methods and their implementation taking into account the choice and operationalization of factors as well as options of the retained methods. The methods employed in…

Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Because of the critical role they play in supporting research on college and university campuses across the country, particularly at research intensive…