The majority of Sub-Saharan African countries are facing a very negative teacher-learner ratio: one teacher for over 120 learners. In order to support the learner training, we propose optimizing search engines for learning contexts, to enable learners to take optimal advantage of the vast reservoir of Open Educational Resources (OER) available on…

Information and communication technologies have transformed education, driving it towards intelligent teaching and learning. With the rise of generative artificial intelligence (AI), represented by tools such as ChatGPT, there is also a growing body of literature on generative AI in education. In this study, we searched the Scopus, ERIC, and Web…

This research project investigates the impact of prompt engineering, a key aspect of chat generative pretrained transformer (ChatGPT), on college students' information retrieval in flipped classrooms. In recent years, an increasing number of students have been using AI-based tools, such as ChatGPT rather than traditional research engines to learn…

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.…

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…

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…

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…

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…

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…

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…

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…

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…

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.,…

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…

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,…