Publication Date
| In 2025 | 1 |
| Since 2024 | 4 |
| Since 2021 (last 5 years) | 5 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 5 |
Descriptor
Source
| Journal of Instructional… | 2 |
| Education and Information… | 1 |
| Multivariate Behavioral… | 1 |
| New Review of Academic… | 1 |
| Psychometrika | 1 |
| SAGE Open | 1 |
| Society for Research on… | 1 |
| Teaching & Learning Inquiry | 1 |
Author
| Abdulkadir Palanci | 1 |
| Cummings, Oliver W. | 1 |
| Danhua Zhou | 1 |
| Gaoxiang Luo | 1 |
| Hu, Ming-xiu | 1 |
| Jingying Wang | 1 |
| KLEINKE, DAVID J. | 1 |
| Kumar, Vinit | 1 |
| Lin Lin | 1 |
| McCormick, William T., Jr. | 1 |
| McLaughlin, Donald H. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 7 |
| Reports - Research | 7 |
| Guides - Non-Classroom | 1 |
| Information Analyses | 1 |
| Opinion Papers | 1 |
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
| Researchers | 3 |
Location
| China | 1 |
| Spain | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textMirjam Sophia Glessmer; Rachel Forsyth – Teaching & Learning Inquiry, 2025
Generative AI tools (GenAI) are increasingly used for academic tasks, including qualitative data analysis for the Scholarship of Teaching and Learning (SoTL). In our practice as academic developers, we are frequently asked for advice on whether this use for GenAI is reliable, valid, and ethical. Since this is a new field, we have not been able to…
Descriptors: Artificial Intelligence, Research Methodology, Data Analysis, Scholarship
Direct linkLin Lin; Danhua Zhou; Jingying Wang; Yu Wang – SAGE Open, 2024
The rapid development of artificial intelligence has driven the transformation of educational evaluation into big data-driven. This study used a systematic literature review method to analyzed 44 empirical research articles on the evaluation of big data education. Firstly, it has shown an increasing trend year by year, and is mainly published in…
Descriptors: Data Analysis, Educational Research, Geographic Regions, Periodicals
Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
Thakur, Khusbu; Kumar, Vinit – New Review of Academic Librarianship, 2022
A vast amount of published scholarly literature is generated every day. Today, it is one of the biggest challenges for organisations to extract knowledge embedded in published scholarly literature for business and research applications. Application of text mining is gaining popularity among researchers and applications are growing exponentially in…
Descriptors: Information Retrieval, Data Analysis, Research Methodology, Trend Analysis
Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
McCormick, William T., Jr.; And Others – 1969
Presented are the results of a study conducted to develop algorithms for ordering and organizing data that can be presented in a two-dimensional matrix form. The purpose of the work was to develop methods to extract latent data patterns, grouping, and structural relationships which are not apparent from the raw matrix data. The algorithms…
Descriptors: Algorithms, Data Analysis, Data Processing, Mathematical Applications
Peer reviewedAnd Others; Takane, Yoshio – Psychometrika, 1980
An individual differences additive model is discussed which represents individual differences in additivity by differential weighting or additive factors. A procedure for estimating model parameters for various data measurement characteristics is developed. The method is found to be very useful in describing certain types of developmental change…
Descriptors: Algorithms, Data Analysis, Least Squares Statistics, Mathematical Models
Peer reviewedSchonemann, Peter H.; And Others – Multivariate Behavioral Research, 1975
Descriptors: Algorithms, Data Analysis, Dimensional Preference, Individual Differences
Hu, Ming-xiu; Salvucci, Sameena – 2001
Many imputation techniques and imputation software packages have been developed over the years to deal with missing data. Different methods may work well under different circumstances, and it is advisable to conduct a sensitivity analysis when choosing an imputation method for a particular survey. This study reviewed about 30 imputation methods…
Descriptors: Algorithms, Computer Simulation, Data Analysis, Longitudinal Studies
Misanchuk, Earl R. – Journal of Instructional Development, 1985
This personal reaction to Cummings'"Comparison of Three Algorithms for Analyzing Questionnaire-Type Needs Assessment Data to Establish Need Priorities" specifically questions Cummings' use of the Mean Difference Analysis for comparison with Weighted Needs Index, and his focus on characteristics of the statistic that are of secondary…
Descriptors: Algorithms, Communication (Thought Transfer), Comparative Analysis, Data Analysis
Cummings, Oliver W. – Journal of Instructional Development, 1985
This study of training needs utilized a questionnaire to assess participant's opinions of knowledge level that should exist and knowledge level that does exist in 25 content areas and analyzed the resultant data using three different approaches: mean difference analysis, multicomponent data analysis, and weighted need index. (MBR)
Descriptors: Algorithms, Attitude Measures, Comparative Analysis, Data Analysis
Wise, Lauress L.; McLaughlin, Donald H. – 1980
This guidebook is designed for data analysts who are working with computer data files that contain records with incomplete data. It indicates choices the analyst must make and the criteria for making those choices in regard to the following questions: (1) What resources are available for performing the imputation? (2) How big is the data file? (3)…
Descriptors: Algorithms, Computer Software, Data Analysis, Data Collection
Muraki, Eiji – 1984
This study examines the application of the marginal maximum likelihood (MML) EM algorithm to the parameter estimation problem of the three-parameter normal ogive and logistic polychotomous item response models. A three-parameter normal ogive model, the Graded Response model, has been developed on the basis of Samejima's two-parameter graded…
Descriptors: Algorithms, Data Analysis, Estimation (Mathematics), Goodness of Fit
KLEINKE, DAVID J.; PRUZEK, ROBERT M. – 1967
298 EDUCATIONAL AND PSYCHOLOGICAL RESEARCH PAPERS PUBLISHED IN 5 JOURNALS DURING 1966-67 WERE CLASSIFIED ON THE BASIS OF SPONSORSHIP, AUTHORS' GENERAL INTENTIONS, DESIGN, ASSUMPTIONS, AND ANALYSIS. ADVANCES IN STATISTICAL THEORY (INCLUDING WORK ON GENERAL ANALYSIS OF VARIANCE DESIGNS, HYPOTHESIS TESTING IN FACTOR ANALYSIS, MULTIVARIATE ANALYSIS,…
Descriptors: Algorithms, Analysis of Variance, Behavioral Science Research, Bibliographies
