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Randhir Rawatlal; Rubby Dhunpath – Association for Institutional Research, 2023
Although student advising is known to improve student success, its application is often inadequate in institutions that are resource constrained. Given recent advances in large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT), automated approaches such as the AutoScholar Advisor system affords viable alternatives to…
Descriptors: Academic Advising, Technology Uses in Education, Artificial Intelligence, Progress Monitoring
Benjamin Rieth – New England College Journal of Applied Educational Research, 2023
Talking circles, also known as sharing circles, have been used in ceremonies for hundreds of years. Rooted in Indigenous values and knowledge systems emphasizing interconnectedness and responsibility to community, participants share power through storytelling, empowering each participant to share what they want in a non-judgmental environment,…
Descriptors: Research Methodology, Indigenous Knowledge, Story Telling, Personal Narratives
Wai Yin Wan; Lisa Williams; Eunro Lee; Lucy Lu – Australian Education Research Organisation Limited, 2023
The Australian Education Research Organisation (AERO) has created the first longitudinally linked dataset of Australian students' National Assessment Program -- Literacy and Numeracy (NAPLAN) participation and results. This technical paper describes the creation of the Longitudinal Literacy and Numeracy in Australia (LLANIA) dataset, including the…
Descriptors: Longitudinal Studies, Literacy, Numeracy, Foreign Countries
Ginder, Scott A.; Kelly-Reid, Janice E.; Mann, Farrah B. – National Center for Education Statistics, 2018
The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions. This "First Look" is a revised version of the preliminary report released on July 18, 2017. It includes fully edited and…
Descriptors: Postsecondary Education, School Statistics, School Surveys, Institutional Characteristics
Mohadjer, Leyla; Edwards, Brad – Quality Assurance in Education: An International Perspective, 2018
Purpose: This paper aims to provides a brief review of the dashboard literature, an account of the development of performance dashboards for field data collection at Westat, and more specifically for the first cycle of the Programme for the International Assessment of Adult Competencies (PIAAC). A brief concluding section offers suggestions for…
Descriptors: International Assessment, Surveys, Data Collection, Information Systems
Cusker, Jeremy – Issues in Science and Technology Librarianship, 2018
In 2012, this author published a paper describing a method for using the raw data from Web of Science to examine the journals cited by any given group of researchers and then compare that list to lists of 'top journals' of similar disciplines. It was not a straightforward method to use and required a great deal of effort and spreadsheet work by a…
Descriptors: Citation Analysis, Citations (References), Bibliometrics, Evaluation Methods
Ward, Jason K.; Comer, Unoma; Stone, Suki – Interchange: A Quarterly Review of Education, 2018
This article presents the use of the qualitative research method and the challenges that this form of research imposes along with the increasingly systematic reluctance experienced by doctoral students and their chairs. Increasingly, doctoral students are opting for the qualitative approach over that of the traditional quantitative methodology.…
Descriptors: Qualitative Research, Graduate Students, Student Research, Data Collection
Bharara, Sanyam; Sabitha, Sai; Bansal, Abhay – Education and Information Technologies, 2018
Learning Analytics (LA) is an emerging field in which sophisticated analytic tools are used to improve learning and education. It draws from, and is closely tied to, a series of other fields of study like business intelligence, web analytics, academic analytics, educational data mining, and action analytics. The main objective of this research…
Descriptors: Data Collection, Data Analysis, Correlation, Academic Achievement
Klumpp, Matthias – Education Sciences, 2018
An increasing effort has been put into dealing with the question of time-series analysis regarding institutional efficiency, including in the area of higher education. Universities are important institutions for economies and societies and are expected to provide excellence as well as efficiency in their processes and outputs. This is reflected in…
Descriptors: Efficiency, Universities, Data Analysis, Achievement Rating
Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
Franz, Nancy K. – Journal of Extension, 2018
Increased focus on data-driven decision making requires Extension professionals to excel at data analysis and interpretation. Data parties have become increasingly popular for involving stakeholders in making sense of data. As these parties become more frequently used by Extension professionals, best practices are emerging from lessons learned to…
Descriptors: Extension Education, Extension Agents, Decision Making, Data
Gregg, Andrea; Wilson, Brent G.; Parrish, Patrick – IDEA Center, Inc., 2018
The field of learning analytics holds considerable promise for higher education, with reports of successful uses now emerging in selected institutions. At the same time, critics have expressed concerns regarding privacy, ethics, and intrusions into teachers' pedagogy. Without attentive planning, higher-education professionals applying learning…
Descriptors: Data Analysis, Higher Education, Vendors, Academic Achievement
Larini, Michel; Barthes, Angela – John Wiley & Sons, Inc, 2018
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…
Descriptors: Statistical Analysis, Educational Research, Data Collection, Data Processing
Maden, Asli – Educational Policy Analysis and Strategic Research, 2020
The present study aimed to review the articles published in Turkey on electronic books. In the study, descriptive content analysis method was employed. In the study, national databases such as UlakbimUVT, Asos Index, Turkish Education Index (TEI) and international databases such as ERIC, DOAJ, EBSCO, Google Scholar and past issues of educational…
Descriptors: Foreign Countries, Electronic Publishing, Books, Electronic Learning
Leaton Gray, Sandra – London Review of Education, 2020
The introduction of artificial intelligence in education (AIED) is likely to have a profound impact on the lives of children and young people. This article explores the different types of artificial intelligence (AI) systems in common use in education, their social context and their relationship with the growth of commercial knowledge monopolies.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Privacy, Data Use

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