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Download full textXu, Yinuo; Pardos, Zachary A. – International Educational Data Mining Society, 2023
In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…
Descriptors: Semantics, Enrollment Trends, Learning Analytics, STEM 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
Olipas, Cris Norman P. – Online Submission, 2020
This study aimed to design and develop a Student Information and Violation Management System (SIVMS) for a Higher Educational Institution in Central Luzon, Philippines. It utilized the descriptive developmental design of research in which the researcher described and explained the processes performed to design and develop the prototype system. The…
Descriptors: Information Systems, Design, Higher Education, Foreign Countries
Direct linkKisling, Reid; Peterson, Andrew; Nisbet, Robert – Strategic Enrollment Management Quarterly, 2021
Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical…
Descriptors: Higher Education, Learning Analytics, Models, Instructional Leadership
Panagiotis Panagiotidis – European Journal of Education (EJED), 2022
New technological developments, such as 5G networks, smart and interconnected devices, and the development of the Internet of Things (IoT), lead to a new reality in which the secure flow of data is non-negotiable. In this new reality, blockchain technology can play a crucial role, as it has the ability to provide the necessary background for the…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
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
Marachi, Roxana; Quill, Lawrence – Teaching in Higher Education, 2020
The Canvas Learning Management System (LMS) is used in thousands of universities across the United States and internationally, with a strong and growing presence in K-12 and higher education markets. Analyzing the development of the Canvas LMS, we examine 1) 'frictionless' data transitions that bridge K12, higher education, and workforce data 2)…
Descriptors: Management Systems, Longitudinal Studies, Data Analysis, Higher Education
Rodafinos, Angelos – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This paper presents some of the issues that academia faces in both the detection of plagiarism and the aftermath. The focus is on the latter, how academics and educational institutions around the world can address the challenges that "follow" the identification of an incident. The scope is to identify the need for and…
Descriptors: Plagiarism, Intervention, Prevention, Higher Education
Jones, Kyle M. L.; McCoy, Chase – Learning, Media and Technology, 2019
In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…
Descriptors: Data Analysis, Documentation, Guidelines, Data Collection
Perry, Chantel A. – Online Submission, 2018
This study aims to develop a list of technological enhancements to a financial aid analytics application (F3A) designed to assist higher education leaders in gaining actionable insights for decision-making with grants optimization. This research utilizes the Design Science Research framework which highlights the design and evaluation of an IT…
Descriptors: Computer Software, Student Financial Aid, Data Analysis, Higher Education
Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students
Corn, Michael; Rosenthal, Jane – EDUCAUSE Review, 2013
Where does privacy belong in the college/university ecosystem, and what should its relationship be with security and compliance? Are the three areas best kept separate and distinct? Should there be some overlap? Or would a single office, officer, and/or reporting line enable a big picture of the whole? This article examines several of the campus…
Descriptors: Privacy, Compliance (Legal), Campuses, Strategic Planning
Bienkowski, Marie; Gerard, Sarah Nixon; Rubin, Shawn; Sanford, Cathy; Borrelli-Murray, Dana; Driscoll, Tom; Arora, Jessie; Hruska, Mike; Beck, Katie; Murray, Thomas; Hoekstra, Jason; Gannes, Stuart; Metz, Edward; Midgley, Steve; Castilla, Stephanie; Tomassini, Jason; Madda, Mary Jo; Chase, Zac; Martin, Erik; Noel, Marcus; Styles, Kathleen – Office of Educational Technology, US Department of Education, 2015
Opportunities abound for software designers and developers to create impactful tools for teachers, school leaders, students, and their families. This guide for developers, startups, and entrepreneurs addresses key questions about the education ecosystem and highlights critical needs and opportunities to develop digital tools and apps for learning.…
Descriptors: Computer Software, Design, Technology Uses in Education, Educational Technology
McClean, Stephen – Bioscience Education, 2008
Combining the Excel spreadsheet with an email program provides a very powerful tool for sending students personalised emails. Most email clients now support a Mail Merge facility whereby a generic template is created and information unique to each student record in the spreadsheet is filled into that template, generating tens if not hundreds of…
Descriptors: Student Records, Computer Software, Electronic Mail, Worksheets
Foster, Andrea – Chronicle of Higher Education, 2008
At least 18 colleges are scrambling to inform tens of thousands of students that they are at risk of having their identities stolen after SunGard, a leading software vendor, reported that a laptop owned by one of its consultants was stolen. The extent of the problem is still unknown, though many of the campuses that have been identified are in…
Descriptors: Computer Software, Confidential Records, Student Records, Computer Security
