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Adejo, Olugbenga; Connolly, Thomas – Journal of Education and Practice, 2017
The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…
Descriptors: Higher Education, Program Implementation, Information Utilization, Evidence Based Practice
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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
Data Quality Campaign, 2014
District and state data systems are constructed to ensure that individuals can access only the data that are appropriate for their role. Still, questions from the public about how these data systems work and how student privacy is protected have been increasing. A recurring concern is the feared existence of a "permanent record"--a…
Descriptors: Data Collection, Student Records, Data Processing, Access to Information
Sabourin, Jennifer; Kosturko, Lucy; FitzGerald, Clare; McQuiggan, Scott – International Educational Data Mining Society, 2015
While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data…
Descriptors: Privacy, Student Records, Data Processing, Data Collection
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Pelanek, Radek – Journal of Educational Data Mining, 2015
Researchers use many different metrics for evaluation of performance of student models. The aim of this paper is to provide an overview of commonly used metrics, to discuss properties, advantages, and disadvantages of different metrics, to summarize current practice in educational data mining, and to provide guidance for evaluation of student…
Descriptors: Models, Data Analysis, Data Processing, Evaluation Criteria
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Ting, Choo-Yee; Ho, Chiung Ching – British Journal of Educational Technology, 2015
This paper presents the dataset collected from student interactions with INQPRO, a computer-based scientific inquiry learning environment. The dataset contains records of 100 students and is divided into two portions. The first portion comprises (1) "raw log data", capturing the student's name, interfaces visited, the interface…
Descriptors: Inquiry, Educational Environment, Scientific Methodology, Interaction
Data Quality Campaign, 2014
This publication provides an overview of the current federal opportunities to help states advance their data-related activities. Although not exhaustive, this list provides a starting point for federal policymakers to support states' work in this area.
Descriptors: Federal Aid, Data Collection, Data Processing, Information Management
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Rees, Malcolm – Journal of Institutional Research, 2014
This paper reports on progress to date with a project underway in New Zealand involving the extraction of data from multiple government agencies that is then combined into one comprehensive longitudinal integrated dataset and made available to trial participants in a way never previously thought possible. The dataset includes school leaver…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Data Processing
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Hamblin, David J.; Phoenix, David A. – Journal of Higher Education Policy and Management, 2012
There are increasing demands for higher levels of data assurance in higher education. This paper explores some of the drivers for this trend, and then explains what stakeholders mean by the concept of data assurance, since this has not been well defined previously. The paper captures insights from existing literature, stakeholders, auditors, and…
Descriptors: Higher Education, Educational Technology, Stakeholders, Quality Assurance
Wirt, Edgar – Coll Univ, 1969
Descriptors: Administration, Data Processing, Programing, Student Characteristics
Ewell, Peter; L'Orange, Hans – State Higher Education Executive Officers, 2009
A rapidly changing global economy, shifting demographics, and concerns about our ability to maintain a competitive workforce have focused national attention on the educational systems of America's states, highlighting their critical role in ensuring a productive and creative future for our country. As a result, Americas colleges and universities…
Descriptors: Higher Education, Elementary Secondary Education, Information Management, Design Requirements
Thrasher, Craig L.; And Others – Journal of Educational Data Processing, 1971
Descriptors: Administration, Computer Oriented Programs, Counseling Services, Data Processing
BEMIS, HAZEL T. – 1964
AT WORCESTER JUNIOR COLLEGE, MASSACHUSETTS, USE OF A MANUALLY OPERATED PUNCHED CARD SYSTEM HAS RESULTED IN (1) SIMPLIFIED REGISTRATION PROCEDURES, (2) QUICK ANALYSIS OF CONFLICTS AND PROBLEMS IN CLASS SCHEDULING, (3) READY ACCESS TO STATISTICAL INFORMATION, (4) DIRECTORY INFORMATION IN A WIDE RANGE OF CLASSIFICATIONS, (5) EASY VERIFICATION OF…
Descriptors: Data Processing, Records (Forms), School Registration, Student Records
Bushell, Don, Jr. – 1973
A system for continuously evaluating the ongoing progress of each child in Project Follow Through classrooms that are involved in the Behavior Analysis Program is discussed briefly. The steps in the process are: (1) define an instructional objective; (2) record the weekly book and page placement of every child in the class on a special roster; (3)…
Descriptors: Academic Achievement, Data Processing, Evaluation Methods, Student Evaluation
ANDERSON, GORDON V.; AND OTHERS – 1966
THE AIM OF THIS STUDY WAS TO DEVELOP, DEMONSTRATE, AND EVALUATE THE FEASIBILITY OF A PARTICULAR MODEL FOR A STUDENT ACCOUNTING SYSTEM AT THE UNIVERSITY OF TEXAS, INCORPORATING PREVIOUSLY COLLECTED INFORMATION PLUS ADDITIONAL QUESTIONNAIRE DATA FROM STUDENTS. A CENTRAL DATA BANK WAS ESTABLISHED TO INCLUDE (1) THE ACADEMIC RECORD OF THE STUDENT…
Descriptors: Data Analysis, Data Collection, Data Processing, Student Characteristics
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