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Download full textFrank Lee; Alex Algarra – Information Systems Education Journal, 2024
Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…
Descriptors: Visual Aids, Data Use, Data Collection, Naming
Direct linkJavadpour, Leili – Journal of Education for Business, 2022
In this article we discuss the use of RapidMiner, a data science software platform, in a Database Management Systems course. For further understanding of the database and the skill learned, students are given an assignment to complete, to not only use another software beside SQL Server Management Studio but also translate their findings in a more…
Descriptors: Database Management Systems, Database Design, Assignments, Visualization
Madhav Sharma; Andy Bowman – Journal of Information Systems Education, 2025
"Not only SQL" (NoSQL) databases have become widespread across organizations, enabling sophisticated, data-driven applications to be highly available, distributed, and cloud-based, such as e-commerce, social media, online multiplayer games, and video streaming. However, NoSQL is still sparsely found in MIS and analytics curricula. This…
Descriptors: Educational Technology, Technology Integration, Databases, Data Analysis
Zhang, Zhiyong; Zhang, Danyang – Grantee Submission, 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education
Schwendimann, Beat A.; Rodriguez-Triana, Maria Jesus; Vozniuk, Andrii; Prieto, Luis P.; Boroujeni, Mina Shirvani; Holzer, Adrian; Gillet, Denis; Dillenbourg, Pierre – IEEE Transactions on Learning Technologies, 2017
This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning…
Descriptors: Literature Reviews, Educational Research, Data Analysis, Data Processing
Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
Livieris, Ioannis E.; Mikropoulos, Tassos A.; Pintelas, Panagiotis – Themes in Science and Technology Education, 2016
Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for…
Descriptors: Predictive Measurement, Decision Support Systems, Academic Achievement, Exit Examinations
Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Verhaeghe, Goedele; Schildkamp, Kim; Luyten, Hans; Valcke, Martin – School Effectiveness and School Improvement, 2015
As data-based decision making is receiving increased attention in education, more and more school performance feedback systems (SPFSs) are being developed and used worldwide. These systems provide schools with data on their functioning. However, little research is available on the characteristics of the different SPFSs. Therefore, this study…
Descriptors: Management Information Systems, Systems Analysis, Computer Software Reviews, Computer Software Evaluation
Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E. – Research in Higher Education Journal, 2014
Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…
Descriptors: Profiles, Database Management Systems, Information Management, Progress Monitoring
Huebner, Richard A. – Research in Higher Education Journal, 2013
Educational data mining (EDM) is an emerging discipline that focuses on applying data mining tools and techniques to educationally related data. The discipline focuses on analyzing educational data to develop models for improving learning experiences and improving institutional effectiveness. A literature review on educational data mining topics…
Descriptors: Educational Research, Data Processing, Data Analysis, Organizational Change
Schendel, Diana E.; Bresnahan, Michaeline; Carter, Kim W.; Francis, Richard W.; Gissler, Mika; Grønborg, Therese K.; Gross, Raz; Gunnes, Nina; Hornig, Mady; Hultman, Christina M.; Langridge, Amanda; Lauritsen, Marlene B.; Leonard, Helen; Parner, Erik T.; Reichenberg, Abraham; Sandin, Sven; Sourander, Andre; Stoltenberg, Camilla; Suominen, Auli; Surén, Pål; Susser, Ezra – Journal of Autism and Developmental Disorders, 2013
The International Collaboration for Autism Registry Epidemiology (iCARE) is the first multinational research consortium (Australia, Denmark, Finland, Israel, Norway, Sweden, USA) to promote research in autism geographical and temporal heterogeneity, phenotype, family and life course patterns, and etiology. iCARE devised solutions to challenges in…
Descriptors: Autism, Epidemiology, International Cooperation, Consortia
Corbin, Renee; Carpenter, C. Dale; Nickles, Lee – International Journal of ePortfolio, 2013
A statewide survey of the infrastructure of teacher education program assessment systems in North Carolina, which include electronic portfolios as a component in the assessment system, measured their ability to meet current and anticipated future data demands for state approval and national accreditation. Almost two-thirds of the 46 teacher…
Descriptors: Teacher Education Programs, Program Evaluation, Accreditation (Institutions), State Surveys
Barton, Erin E.; Reichow, Brian – Journal of Early Intervention, 2012
The interpretation of single-case data requires systematic visual analysis across and within conditions. Graphs are a vital component for analyzing and communicating single-case design data and a necessary tool for applied researchers and practitioners. Several articles have been published with task analyses for graphing data with the new versions…
Descriptors: Computer Literacy, Guidelines, Graphs, Computer Software
Tucker, Cory – Journal of Electronic Resources Librarianship, 2009
Usage statistics are an important metric for making decisions on serials. Although the University of Nevada, Las Vegas (UNLV) Libraries have been collecting usage statistics, the statistics had not frequently been used to make decisions and had not been included in collection development policy. After undergoing a collection assessment, the…
Descriptors: Benchmarking, Statistics, Library Services, Decision Making
