This two-part dissertation centers on a re-examination of the role of book indexes in information retrieval research on full-text digital book collections in digital libraries. Early research focused on information retrieval and book indexes (in addition to other parts of books) in the 2000s when the Google Books corpus was first released to the…

Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…

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…

Purpose: The purpose of this paper is to reveal the smart collaborative learning service. This concept aims to build teams of learners based on the complementarity of their skills, allowing flexible participation and offering interdisciplinary collaboration opportunities for all the learners. The success of this environment is related to predict…

This study used event-related potential (ERP) and retrieval practice effect paradigm to investigate the neurocognitive mechanisms underlying the retrieval practice effect in a third language (L3) vocabulary learning. Thirty-five Chinese (First Language, L1)-English (Second Language, L2) bilinguals without prior knowledge of French (L3) studied 120…

Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…

The language of religious leaders expressed in their sermons characterizes the social characteristics of their groups. Over the past decades, most studies into cults specifically destructive cults and mainstream religion have mainly focused on their social-psychological characteristics with limited applicability to other religious groups. In this…

Bag-of-words is a commonly used text representation method for many text classification applications. However, bag-of-words representation fails to consider the context of the text because it only examines text documents based on the presence of individual words and explores relationships between texts with similar word choices (Bengfort, 2018).…

This article presents an Internet data analysis model based on Web Mining with the aim to find knowledge about large amounts of data in cyberspace. To test the proposed method, suicide web pages were analyzed as a study case to identify and detect traits in students with suicidal tendencies. The procedure considers a Web Scraper to locate and…

The current study argues that corpus tools can potentially provide empirical and objective perspectives to study literary works and produce insightful literary interpretations. This study attempted to explore the thematic concerns and the thematization of love in Elif Shafak's "The Forty Rules of Love" by means of corpus techniques.…

In South Korea, curriculum is revised, made public and implemented under a system known as a nation led curriculum. The South Korean national curriculum was completely revised 10 times between 1946 and 2015. At present, a complete revision is underway to replace the current 2015 national curriculum which is called the 2022 revised national…

Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…

Purpose: With the advancement of novel forms of text mining techniques, new possibilities have opened up to conduct large-scale content analysis of educational research from an international and comparative perspective. Since educational research tends to convey great variation based on country-specific circumstances it constitutes a good testbed…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…