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Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
De Laet, Tinne; Millecamp, Martijn; Ortiz-Rojas, Margarita; Jimenez, Alberto; Maya, Ricardo; Verbert, Katrien – British Journal of Educational Technology, 2020
This paper presents a case study on the adoption and the impact of new modules in a learning analytics dashboard supporting the dialogue between student advisors and students when advising on a study plan for the next academic semester in Escuela Superior Politecnica del Litoral, a higher education institute in Ecuador. The impact and the adoption…
Descriptors: Learning Analytics, Faculty Advisers, Teacher Student Relationship, Higher Education
Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Miguel, Hugo Gonzaga; Ramos, Pedro; da Cruz Martins, Susana; Costa, Joana Martinho – Education for Information, 2020
One of the most widely researched issue on higher education relates to exposed paths that lead to academic success. Nowadays information systems represent an essential part of the education sector in many universities. In particular, the increasing of the number of students in higher education in Portugal leads to the progressive increase of…
Descriptors: Foreign Countries, Educational Research, Higher Education, Academic Achievement
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
Pavlin, Samo – European Journal of Education, 2019
The "employability" paradigm is beginning to be publicly regarded as one of the key developmental paths and "modernisation" principles of higher education institutions. In this context, the article first overviews the existing practices for tracking graduates' early careers in Europe. Next, it identifies and discusses relevant…
Descriptors: College Graduates, Employment Potential, Higher Education, Careers
Pratsri, Sajeewan; Nilsook, Prachyanun – Higher Education Studies, 2020
According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the…
Descriptors: Data Analysis, Higher Education, Information Systems, Data Collection
Jackson, Jacob; Cook, Kevin – Public Policy Institute of California, 2018
Higher education is a key driver of economic mobility and future growth in California. Yet there is much unknown about how students advance from K-12 schools to postsecondary education and into the workforce--and where they falter. This lack of knowledge stems from the fragmented nature of California's education data and inhibits informed decision…
Descriptors: Data Use, Information Systems, Longitudinal Studies, State Programs
National College Access Network, 2016
The National College Access Network (NCAN) and Exponent Partners have teamed up on a two-part report series aimed at helping organizations to become more data-driven. NCAN members have increasingly incorporated research, data, and evaluation into their critical work of serving low-income, first-generation students on their way to postsecondary…
Descriptors: Information Management, Data, Data Collection, Systems Approach
Lingard, Bob – European Educational Research Journal, 2022
This paper provides an account of the topological and its description of contemporary culture and use as a research methodology, a topological lens, generally, and in education research specifically. Some commentary is proffered on the relationships between the topological and the topographical, between relations and locations. A critical account…
Descriptors: Research Reports, Research Methodology, Data Analysis, Time
Melnick, Hanna; Meloy, Beth; Gardner, Madelyn; Wechsler, Marjorie; Maier, Anna – Learning Policy Institute, 2018
There is overwhelming evidence that children's early years, from birth through preschool, are a crucial time for their development, and that high-quality early learning opportunities support children's school readiness, promote later life success, and yield a return of up to $7 for every $1 invested. Unfortunately, despite having the sixth-largest…
Descriptors: Early Childhood Education, Educational Administration, Access to Education, Early Childhood Teachers
Torii, Tomoko; Okada, Yuji – Higher Education Forum, 2017
This article reports the results of a nationwide questionnaire survey of 1,104 Japanese higher education institutions conducted in late 2015 and early 2016. Its goal was to investigate the current status and issues related to the utilization and disclosure of educational information. A total of 248 institutions responded to the survey. Based on…
Descriptors: Foreign Countries, Higher Education, Information Dissemination, Information Utilization
Lang, Leah; Pirani, Judith A. – EDUCAUSE, 2014
This Spotlight focuses on data from the 2013 Core Data Service [CDS] to better understand how higher education institutions approach business intelligence (BI) reporting and data warehouse systems (see the Sidebar for definitions). Information provided for this Spotlight was derived from Module 8 of CDS, which contains several questions regarding…
Descriptors: Colleges, Business, Information Systems, Interviews
Whitfield, Christina; Armstrong, John; Weeden, Dustin – State Higher Education Executive Officers, 2019
Since 2010, the State Higher Education Executive Officers Association (SHEEO) has periodically administered the "Strong Foundations" survey, which documents the content, structure, and effective use of state postsecondary student unit record systems (PSURSs). This report highlights the results of the fourth administration of the survey,…
Descriptors: Postsecondary Education, Information Systems, Student Records, Data Collection
Mitchell, Joshua J.; Ryder, Andrew J. – New Directions for Student Services, 2013
Dashboard systems are increasingly popular as assessment and performance management tools in higher education. This chapter examines the use of dashboards in student affairs, including examples of key indicators and considerations for developing and implementing these tools. The chapter begins with an overview of the origins of dashboards, from…
Descriptors: Evaluation Methods, Higher Education, Student Personnel Services, Information Management