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Maria Karantali; Theodore Panagiotidis – Education for Information, 2024
Bibliometric analysis, an approach introduced by the library and information sciences, attempts to unravel the relationships between a large number of scientific literature by using quantitative methods. "Economics of Education Review" was founded in 1981 to meet the needs of a growing number of research in the economics of education.…
Descriptors: Bibliometrics, Economics Education, Network Analysis, Information Retrieval
Liu Dan; Hasnah Binti Mohamed – Contemporary Educational Technology, 2024
The widespread use of contemporary flipped classrooms for teaching, especially in language learning, provides new insights. Flipped classrooms are two important aspects of language learning that produce impactful outcomes and understanding. It is essential that these processes be used to strengthen the system of language learning. We used PRISMA…
Descriptors: Bibliometrics, Second Language Learning, Second Language Instruction, Trend Analysis
Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
Clare Baek; Tenzin Doleck – Knowledge Management & E-Learning, 2024
We examined how Learning Analytics literature represents participants from diverse societies by comparing the studies published with samples from WEIRD (Western, Industrialized, Rich, Democratic) nations versus non-WEIRD nations. By analyzing the Learning Analytics studies published during 2015-2019 (N = 360), we found that most of the studies…
Descriptors: Learning Analytics, Educational Research, Sample Size, Literature Reviews
Chen-Ting Chang; Tricia A. Gorby; Bret R. Shaw; Jeremy Solin; Patrick Robinson; Kris Tiles; Chad Cook – Journal of Agricultural Education and Extension, 2024
Purpose: Using the framework of Adult Learning Theory, this study worked to uncover the composition of rural landowners' information sources and learner characteristics that impact information-seeking behavior among maple syrup producers in Wisconsin. Design: Regression models were used to analyze data from a survey targeted at Wisconsin maple…
Descriptors: Agricultural Occupations, Agricultural Production, Farm Management, Adults
Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
Hanife Çivril; Emine Arugaslan – Journal of Educational Technology and Online Learning, 2024
The purpose of this study is to conduct a bibliometric analysis of research on open and distance learning, focusing on articles affiliated with institutions or authors in Türkiye. Articles were retrieved from the Web of Science (WoS) database, those indexed in the SSCI, SCIE, and ESCI categories, published between 2020 and 2024. A total of 1,229…
Descriptors: Foreign Countries, Distance Education, Open Education, COVID-19
Zhao Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
This paper proposes an online learning platform learner DM method based on the improved fuzzy C clustering (FCM) algorithm, constructs a learner feature database, and combines clustering analysis and SPSS statistical methods to statistically summarize the big data of law, thus improving the deficiencies of static and absolute classification of…
Descriptors: Case Method (Teaching Technique), Legal Education (Professions), Law Schools, Foreign Countries
Klopfenstein, D. V.; Dampier, Will – Research Synthesis Methods, 2021
We read with considerable interest the study by Gusenbauer and Haddaway (Gusenbauer and Haddaway, 2020, Research Synthesis Methods, doi:10.1002/jrsm.1378) comparing the systematic search qualities of 28 search systems, including Google Scholar (GS) and PubMed. Google Scholar and PubMed are the two most popular free academic search tools in biology…
Descriptors: Search Engines, Search Strategies, Databases, Information Retrieval
Yang, Jing; Wang, Lijuan – European Journal of Developmental Psychology, 2021
It has been well documented in adults that compared to verbal learning, learning while the subject performs an action is far more effective. However, the results of previous studies involving children have not reached a consensus. The present study examined the action memory of 4- to 6-year-old children under various encoding conditions (i.e.,…
Descriptors: Information Retrieval, Memory, Experiential Learning, Age Differences
Cai, Zhiqiang; Siebert-Evenstone, Amanda; Eagan, Brendan; Shaffer, David Williamson – Grantee Submission, 2021
When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…
Descriptors: Coding, Artificial Intelligence, Models, Probability
Gontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Çeliktürk Sezgin, Zuhal – Participatory Educational Research, 2022
Digitalization has led to significant changes in reading like it does in almost every field. When traditional print reading is considered together with digital reading, it can be argued that digital reading differs from printed reading in many respects. Given the complex nature of reading, it is predictable that an in-depth examination of digital…
Descriptors: Reading Research, Computer Use, Reading, Research Reports
Lu, Cuiwei; Li, Deyang; Ren, Jie; Liu, Huanmin; Zhang, Xueqin – International Journal of Developmental Disabilities, 2022
Special education is a natural yardstick to measure a country's educational level and the whole civilization. China has a massive special education undertaking that develops rapidly and forms a unique system. This study used bibliometric methods to conduct a macroscopic comparative analysis of Chinese and global literature, discuss the existing…
Descriptors: Special Education, Educational Research, Foreign Countries, Students with Disabilities
Pham Van, Thuan; Tran, Trung; Trinh Thi Phuong, Thao; Hoang Ngoc, Anh; Nghiem Thi, Thanh; La Phuong, Thuy – Journal on Efficiency and Responsibility in Education and Science, 2022
The higher education efficiency evaluation model using the data envelopment analysis method has interested many researchers. This paper uses bibliometric analysis on publications extracted from the Scopus database to provide a comprehensive overview of research publications on the measurement of higher education efficiency based on data…
Descriptors: Higher Education, Efficiency, Measurement, Data Analysis

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