Extracting and formally representing the knowledge embedded in textbooks, such as the concepts explained and the relations between them, can support the provision of advanced knowledge-based services for learning environments and digital libraries. In this paper, we consider a specific type of relation in textbooks referred to as…

Background: Interrupted time series (ITS) studies contribute importantly to systematic reviews of population-level interventions. We aimed to develop and validate search filters to retrieve ITS studies in MEDLINE and PubMed. Methods: A total of 1017 known ITS studies (published 2013-2017) were analysed using text mining to generate candidate…

This study aims to determine the academic scope, growth dynamics, co-authorship networks, and most frequently used keywords in studies on foreign language anxiety (FLA) within the context of foreign language studies, as indexed in the WoS database. The literature review was conducted according to PRISMA guidelines, and 595 studies published in WoS…

This paper provides an overview of didactic proposals in interpreter training from 2001 to 2020 based on the results of a pre-registered, bibliometric study. The specific aims are: (1) to characterise bibliometric patterns of publications containing didactic proposals in interpreter training both synchronically (for the whole period) and…

With ubiquitous computing, problems can be solved using more strategies than ever, though many strategies feature subpar performance. Here, we explored whether and how simple advice regarding when to use which strategy can improve performance. Specifically, we presented unfamiliar alphanumeric equations (e.g., A + 5 = F) and asked whether counting…

As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…

There have been numerous iterations of naming convention specified for myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS). As health care turns to "big data" analytics to gain insights, the Google Trends database was mined to ascertain worldwide trends of public interest in several ME- and CFS-related search categories…

Creativity represents a young and promising academic field of research. Over the last 20 years, creativity publications have been steadily increasing in number. Of the 20 most all-time prolific creativity scholars in the European Union (EU), only one has retired. The present paper aims at mapping the EU creativity research. We analyzed over 12,000…

Reflective thinking (RT) is one of the higher-order thinking skills which have been of great importance to the researchers from a variety of disciplines for years. Although the significance of RT has been discussed in many studies and many different forms, there are no bibliometric studies conducted on this topic. This study aims to examine the…

With the latest advances in conversational agents like Siri and Alexa, and Large Language Models (LLMs) like ChatGPT and PaLM, Question Answering (QA) systems have become more important. Users submit millions of queries per day and it is up to the system to provide reliable, to-the-point answers. In this dissertation, we explore various aspects to…

Educational Data Mining (EDM) is an interdisciplinary field that encapsulates different fields such as computer science, education, and statistics. It is crucial to make data mining in education to shape future trends in education for policymakers, researchers, and educators in terms of developments. To have an all-inclusive understanding of EDM…

Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…

Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…

Spaced retrieval practice harnesses two well-studied phenomena: the spacing effect, where spacing out practice over several sessions leads to a gain in retention compared to massed practice in one session; and the testing effect, where material that is tested is better retained than material that is restudied. This meta-analysis investigates if,…

Creating and critiquing explanations of phenomena is a significant goal of many scientific disciplines and therefore also a learning goal of science education. A significant source of explanations is science textbooks; however, the large corpus of text in textbooks means that manual review of explanations by individual researchers is extremely…