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In the current era, the use of corpora in language teaching is mainly explored in English classes as it has become a trend in education. Hence, this research aimed to identify the corpus metadata, frequently used words, and unique words related to the Islamic boarding school context to be used in the English instructional process. This research employed a mixed method combining quantitative and qualitative data analysis methods. Two English Islamic boarding school books, several articles covering the scope of Islamic boarding school, and students' speech texts were selected as the data. Then, they were analyzed using the Voyant tool. The finding showed total words of 49,970: 5,417 specific words, 0.108 vocabulary density, and a 12,980-readability index. The finding will be incorporated into instructional resources for developing Islamic boarding school students' general and/or specialized vocabulary. The words, in particular, will provide a foundation for students in constructing Islamic speech texts, delivering speeches, and using English in an Islamic boarding school environment.

This study aims to create a comprehensive bibliometric map of published scientific articles on e-learning in mathematics education (ME). We used Web of Science (WoS) database to analyzed 341 articles published by 1018 authors representing 79 countries between 2012 and 2022. In this context, we examined scientific articles in terms of scientific production, network analysis, trend topics, thematic change, and conceptual structure. Bibliometric analysis was performed in the study. According to findings, the number of published articles differ according to the years, but the number of citations is constantly increasing. Albano, and Dello Iacono are the most prolific authors. The most productive institutions are Salerno and Black Sea Technical Universities. China, USA, and Russia lead the countries of the corresponding authors. According to the network analysis, the journals of Computers & Education and Computers in Human Behavior form strong links. The most used keywords are students, technology, and mathematics. The pandemic, COVID, reality, and process are trend topic titles. It determined that the best size reduction obtained in the conceptual analysis constituted approximately 31% of the total variability. We presented some suggestions based on the findings obtained at the end of the research.

Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as submission, compilation, edit, and keystroke events, with keystroke-level logs being the most fine-grained of commonly used dataset types. However, the lack of open datasets, especially at the keystroke level, is notable. There are several reasons for this failing, with the most prominent being the challenges of deidentification that are peculiar to keystroke log data. In this paper, we present the public release of two fully deidentified keystroke datasets that are the first of their kind in terms of both event and metadata richness. We describe our collection technique and properties of the data along with deidentification techniques that, while not fully relieving researchers of significant effort, at least reduce and streamline manual work in hopes that researchers will release similar datasets in the future.

Hollywood blockbuster films have long attracted not only mass audiences but also scholarly attention. In line with contemporary applied linguistics interests in telecinematic discourse, the present study draws upon concepts and techniques in corpus linguistics to describe the language of American mainstream film scripts. The concept of lexical bundles was employed to identify linguistic patterns characteristic of scripts of American mainstream films produced by entertainment conglomerates, which are popular in the U.S. Results show that American mainstream film scripts are characterized mainly by spoken formulaic expressions. However, descriptive expressions, such as place-referential and action-related lexical bundles, also predominantly make up the given register. Further qualitative analysis reveals that these common multi-word expressions have functional contributions to film scripts in terms of creation of conflicts in plots, characterization, and building engagement with audiences.

The present study is undertaken to investigate research towards thinking skills and creativity in the field of education by utilizing the bibliometric mapping method. The metadata of a total of 326 studies completed between the years 1975-2021 retrieved from the Web of Science (WoS) database constitute the scope of the study. In this context, the program VOSViewer was used to reveal the most used keywords and common citations. The findings present a systematic map demonstrating the increasing interest in thinking skills and creativity in education. The findings demonstrate that the majority of the studies consist of papers and articles of Indonesian, Chinese, and American origin written in English. In addition, the results highlight that the number of studies in the relevant field increased rapidly between 2012 and 2021. King Abdulaziz University and The Hong Kong Polytechnic University have been identified as the leading educational institutions in terms of thinking skills and creativity in education. The results of the current study appeal not only to the academic community but also to educators and politicians to strengthen the spirit of thinking skills and creativity in education, design effective policy tools, and ultimately improve social well-being. In addition, it was observed that the academics who conducted research in this field explained the theme of thinking skills and creativity by associating it with various teaching processes and technology-supported elements at different levels of education. Therefore, it is predicted that our study will contribute to the field of thinking skills and creativity in education as a guide.

The recommendation is an active area of scientific research; it is also a challenging and fundamental problem in online education. However, classical recommender systems usually suffer from item cold-start issues. Besides, unlike other fields like e-commerce or entertainment, e-learning recommendations must ensure that learners have the adequate background knowledge to cognitively receive the recommended learning objects. For that reason, when designing an efficient e-learning recommendation method, these challenges should be considered. To address those issues, in this paper, we first propose extracting pairs concept prerequisites using Linked Open Data (LOD). Then, we evaluate the proposed list of prerequisite relationships using machine learning predictive models. Then, we present the recommendation approach based on matching concept's prerequisites relation and courses metadata through a similarity score. The experimental result of prerequisite identification was evaluated using four well-known machine learning algorithms while achieving an accuracy of 90%. Moreover, using three known evaluation metrics, the final prerequisite-based recommendation demonstrates very good results (NDCG@10 = 86%). This solution will enhance recommendations on online learning platforms. Additionally, it will overcome the cold-start issue and accomplish the needed prerequisites and background knowledge for learners to attain their learning objectives.

In this article, the research of multimedia teaching video content feature extraction is carried out. According to the file structure, data type, and storage mechanism of the teaching video, a program is developed to automatically extract the structural features of the teaching video content, and a storage and retrieval database is established. The research results show that the accuracy rate of various videos compiled through genie 8.0 for teaching videos exceeds 94%. The recall rate of various videos exceeds 95%. The accuracy and recall of advertisements have reached 100%. Among the elements of teaching video content features, the number of graphs is the highest, followed by film clips, accounting for 14.18. Image, vivid, and interactive multimedia teaching video technology has greatly improved teaching effectiveness, promoting students to better understand and remember knowledge points. The research results provide theoretical data support for multimedia feature extraction to optimize classroom teaching quality.

A college class of non-science majors completed a metadata project in 15 weeks for a Women's History collection at a southern 4-year university. The class "First and Second Wave of Feminism" explored for the first time a scientific method of cataloguing while learning to promote, restore and preserve the history of women in the United States. This class completed a service-learning project with the university's Special Collection and Archives enabling them to learn library science metadata skills. The Judith and Warren Kaplan Women's History collection includes ephemera, documents and books all dealing on women's history and therefore of interest to the students in the above-mentioned class. The user centric metadata included open-ended questions for students to answer such as "Importance" of women's history and "Why" the item was chosen to catalogue. After careful reading of student's reflections on the project's impact on them, several conclusions can be reached. Students preferred to express their choice and description as much as the reflection necessary to complete the Service-Learning project. Students also prefer to relate each item from something learn in the classroom as a way of matching both book and activity-centered experiences.

This bibliometric study aims to map the value education model research to provide direction for future research, especially in education and teaching. It is essential because value is the core of education. After all, in addition to opening the window of knowledge, education also has a role in transferring values for internalizing them in the education model. Therefore, conducting studies related to the concept and model of value education is essential for an educator. The focus of this study is to examine the bibliography related to the value education model based on the Scopus database in the period 2011-2020. This research took four stages; first: using Publish or Perish application to search articles from Scopus database. Second, performing filter by setting bibliographic criteria to be analyzed. Third, checking and completing articles' metadata through the EndNote reference manager application. Fourth, perform bibliometric analysis through the VOSviewer application. Through these four stages, seven analyses were explored; the trend of publications related to the value education model, analysis of the keywords used, collaboration of authors, citation patterns, institutions, and countries that were contributors to the study of the value education model, and abstract analysis. The results of this exploration conclude that there is a tendency for academics to pay less attention to the value education model when viewed from the number of publications related to the topic. The contribution of this research can be expected to provide direction for other researchers in conducting research and development related to educational models.

Many traditional Information Systems (IS) programs are either redesigning current courses to incorporate business/data analytics or expanding curricular offerings to include business /data analytics; our IS program chose the former route to meet the demand (from employers) for business/data analytics. In that transition, a traditional systems analysis and design (SA&D) course was redesigned to focus on the procedures and skills needed to perform business/data analytics; this required changes to the focal topical areas. In 2017-18, curricular changes transitioned a traditionally focused database systems analysis and design course to incorporate business/data analytic skills. This paper focuses on the course redesign and the new business/data analytic topics, activities, and technologies; we highlight the important shifts created to the topical areas of this course. The paper emphasizes the rationale and student outcomes generated.

The main goal of this research is to enhance the understanding of quality criteria for DB metadata for assessment and recognition as factors increasing their value in higher education (HE). To attain this goal, a case study approach centered in one HE institution was used, aiming (a) at an analysis of the "status quo" description of metadata of DBs issued by the HE institution to identify the value of DBs in terms of assessment and recognition procedures, and (b) a list of quality criteria for DB description metadata was proposed on the basis of academic research and on expert interview results. The results of the research demonstrate that in the institution under research, these criteria are not present in most cases of DB descriptions as teachers do not provide them. Distinct assessment and recognition criteria make an important quality factor for the DBs to become valid and valued digital credentials in HE.

Machines produce and operate using complex systems of metadata that need to be catalogued, sorted, and processed. Many students lack the experience with metadata and sufficient knowledge about it to understand it as part of their data literacy skills. This paper describes an educational and interactive database activity designed for teaching undergraduate communication students about the creation, value, and logic of structured data. Through a set of virtual instructional videos and interactive visualizations, the paper describes how students can gain experience with structured data and apply that knowledge to successfully find, curate, and classify a digital archive of media artifacts. The pedagogical activity, teaching materials, and archives are facilitated through and housed in an online resource called Fabric of Digital Life (fabricofdigitallife.com). We end by discussing the activity's relevance for the emerging field of human-machine communication.

Distance education is an education model in which the lessons can be taught simultaneously using technical material without time and space restrictions. It has gained importance after the COVID-19 pandemic processes and has been implemented as a valid educational model in all educational institutions. Due to the sudden pandemic measures, distance education has brought about a lot of technical problems at unprepared educational institutions against the pandemic. In this paper, a classification approach is proposed by machine learning methods on Twitter instead of the usual structured research methods such as survey, one-on-one meeting for technical problems of distance education. The most encountered and commented distance education problem, which can be defined in different languages by the proposed method, have been analysed with Turkey example. Sentiment analysis has been made from negative and neutral tweets about distance education. The problems have been classified by natural language processing methods based on Turkish word analysis.

Scholarship of teaching and learning plays an important role in informing educational practices in every discipline. The aim of this study was to identify the trends of research on library and information science (LIS) education. A total of 1,986 articles on LIS education published from 1999 to 2018 were retrieved from bibliographic databases using topical and thesaurus-based queries. They were analyzed for their topics, methods, educational level and aspect, country, and outlet. The results showed that curriculum (what we teach) received more research attention than pedagogy (how we teach). Teaching organization of information (including cataloguing, classification, and metadata) was the most researched topic. Educational aspects of some sectors such as archives and record keeping and academic libraries have received more attention, while some other sectors such as school libraries have not been covered as widely. Survey was the most popular research method used in research articles. There were 134 articles covering LIS education in the United States, representing the greatest coverage by geographic region. While some topics such as serials librarianship and law were discussed in early 2000, in recent years topics such as political literacy, crisis management, privacy, digital humanities, and GLAM convergence have emerged in the literature.

The quality of metadata has a direct effect on the ability to find, identify, select, obtain, and explore information; therefore, training to create high-quality metadata is an important, yet challenging, task for LIS educators. To provide such training effectively, instructors need to develop a vision for where best to focus their efforts, informed by understanding of the common metadata quality problems in student-created records and the way in which observed patterns correlate with the content and methods of instruction. Our exploratory case study addresses this need through empirical data. The article provides an overview of the metadata-creation skill building in instructional design of an online graduate metadata course at a US university and includes results of a comparative content analysis of student-created Dublin Core metadata records in three semesters based on the criteria of accuracy, completeness, and consistency. Findings reveal that accuracy and completeness issues are prevalent and that metadata quality problems revolve mainly around representation of relations and subjects and the application of controlled vocabularies. Results also indicate student confusion regarding the purpose of several metadata elements. The article discusses the findings in relation to content and methods of instruction, considers how the observed quality issues in student-created metadata might be addressed in improving skill building through curriculum development, and proposes directions for further research.

How can novel AI techniques be made and put to use in the library? Combining methods from data and library science, this article focuses on Natural Language Processing technologies, especially in national libraries. It explains how the National Library of Sweden's collections enabled the development of a new BERT language model for Swedish. It also outlines specific use cases for the model in the context of academic libraries, detailing strategies for how such a model could make digital collections available for new forms of research, from automated classification to enhanced searchability and improved OCR cohesion. Highlighting the potential for cross-fertilizing AI with libraries, the conclusion suggests that while AI may transform the workings of the library, libraries can also play a key role in the future development of AI.

In recent years, smart learning environments have become central to modern education and support students and instructors through tools based on prediction and recommendation models. These methods often use learning material metadata, such as the knowledge contained in an exercise which is usually labeled by domain experts and is costly and difficult to scale. It recognizes that automated labeling eases the workload on experts, as seen in previous studies using automatic classification algorithms for research papers and Japanese mathematical exercises. However, these studies didn't delve into fine-grained labeling. In addition to that, as the use of materials in the system becomes more widespread, paper materials are transformed into PDF formats, which can lead to incomplete extraction. However, there is less emphasis on labeling incomplete mathematical sentences to tackle this problem in the previous research. This study aims to achieve precise automated classification even from incomplete text inputs. To tackle these challenges, we propose a mathematical exercise labeling algorithm that can handle detailed labels, even for incomplete sentences, using word n-grams, compared to the state-of-the-art word embedding method. The results of the experiment show that mono-gram features with Random Forest models achieved the best performance with a macro F-measure of 92.50%, 61.28% for 24-class labeling and 297-class labeling tasks, respectively. The contribution of this research is showing that the proposed method based on traditional simple n-grams has the ability to find context-independent similarities in incomplete sentences and outperforms state-of-the-art word embedding methods in specific tasks like classifying short and incomplete texts.

This article is intended as a practical resource to help interested organizations design and implement an open badging system. Open badges are a type of open credential designed to recognize a variety of skills, knowledge, and experiences, both inside and outside of traditional educational settings. While growing in popularity, common questions asked by those interested in using open badges include: How do I get started? What technologies exist to produce open badges? And what do I need to know? This article seeks to address questions such as these. First, we introduce the reader to key terms in the badging world and explore open badge design precedents, responding to who, what, how, where, and why open badges have been used in the past. Drawing on this research as well as our own personal experience, we then present a possible framework for getting started with open badges and a step-by-step guide for implementing that framework within your organization.

Information Visualisation strategies can be applied in a variety of domains. In the context of temporal networks, i.e., networks in which interactions between individuals occur throughout time, efforts have been conducted to develop visual approaches that allow finding interaction patterns, anomalies, and other behaviours not previously perceived in the data. This paper presents two case studies involving real-world education networks from a primary school and a high school. For this purpose, we used the "Massive Sequence View (MSV)" layout with the "Community-based Node Ordering (CNO)" method, two well established approaches for visual analysis of temporal networks. Our results show that the identified patterns involving students/students and students/ teachers represent important information to benefit and support decision making about school management and teaching strategies, especially those related to strategic group formation.

This article reports comparison results from studying the alignment of selected metadata models, used to manage E-Learning Materials (ELM) in the medicine and healthcare education, against the accreditation standards of the European Accreditation Council for Continuing Medical Education (EACCME). The study aims to (1) illustrate the variety of application profiles developed as metadata models in that field, (2) identify the alignment of the metadata models with the criteria set by the EACCME. This study compared several application profiles, developed based on established metadata standards, using an evaluation matrix created using the accreditation criteria set by the EACCME. Further technical criteria were added to compare between the metadata models and their alignment with the new techniques used for publishing data online. Such techniques aid in the searchabililty and discovery of online content via the internet. Therefore, the use of XML and RDF technologies combined with the use of ontologies and controlled vocabulary was emphasized in the implementation of many metadata models. One limitation faced during conducting this research was the poor documentation of the methodology for designing the metadata models. Despite this, it is apparent that the EACCME criteria can work as best practices guidelines for describing the content of digital libraries with medical and healthcare content in order to be accredited later on. The study showed that the medicine and healthcare educational content requires specialized metadata models that consider having specific properties such as clinical history and expiry time of its material shown in some of the application profiles. Further research should be conducted to evaluate the completeness and conformity of applying the application profiles in digital libraries and online repositories to the standards' guidelines.

Nowadays, teaching and learning activity employing the flipped classroom model has an important position in the process of providing education. This research aimed at identifying and analyzing articles examining the flipped classroom model that has been published in several reputable international journals issued in the 2010-2019 timeframe, which was conducted using bibliometric studies. The research was conducted using a 4-stages systematic mapping method: (1) searching for articles using the Publish or Perish application in the Scopus database, (2) classifying the articles for the bibliometric analysis, (3) checking and completing the metadata of those articles, and (4) conducting bibliometric analysis using VOSviewer application. The bibliometric analysis produced seven findings, as follows: (1) the trend of flipped classroom publications continued to increase from 2013-2019; (2) the ten most contributive journals has published 88 articles by 2019; (3) the ten most cited articles has produced 1,155 citations; (4) the three highest order of author keywords most widely used in flipped classroom articles were flipped classroom, active learning, and blended learning; (5) author collaboration with strong links only occurred in 21 authors through one document; (6) institutional collaboration with strong links formed through 28 collaborating institutions; and (7) state statistics were formed into three clusters and spread across various countries through contributions from authors who were in charge of 456 institutions. The flipped classroom model can be concluded as an educational model that is currently popular among researchers.

This research seeks to map several significant aspects in moral education bibliography. The mapping of moral education research that covers the country of contributors, collaborating authors, terms used in article titles and abstracts is needed to direct future research. The aim of this article is at classifying and analyzing moral education studies published in reputable international journals during 2010-2019 through a bibliometric study. This study uses the systematic and structured mind mapping method. There are four stages of the study: (1) searching for articles using the Publish or Perish application from the Scopus database, (2) filtering out articles to be included in bibliometric analysis, (3) checking and completing article metadata, and (4) conducting bibliometric analysis using the VOSviewer application. The results of the analysis were: (1) the countries of authors who publish moral education articles. Many countries have contributed in journal publications and the largest contributor is the United States. Analysis results showed that author collaboration did not occur often in moral education articles. (3) The most widely used terms in moral education article titles. The most used term is 'moral education'. (4) The most widely used abstract terms in moral education articles. The most used term in moral education articles is 'moral education'. This study concluded that the research on modal education has been spread in many countries, although the collaboration between institutions or the state is still lacking. Collaboration becomes an opportunity. [For Part 1 of this study, see ED606762.]

Map librarianship, in the past incorporating duties involving acquisition, cataloging, or curation of physical map and atlas collections, has evolved into a profession often requiring knowledge of geographic information systems (GIS) software and data. This study examines descriptions for map and geospatial academic library positions from 2015 to 2020 with a goal of observing trends in requirements and specific duties for these roles. Institutions are recruiting individuals with strong backgrounds in geospatial technologies for some positions. However, a Master of Library and Information Science degree is still preferred for new hires in this field. Graduate library and information science programs can support future academic librarians by incorporating coursework related to geospatial data and traditional map resources into their curricula.

The global COVID-19 pandemic has put into high relief the need for better remote communication and collaboration tools, but also serves as an opportunity to focus on building community capacity and promoting greater community agency in the language documentation process. This paper describes a method for remotely supporting and monitoring a language documentation project conducted by speakers, community activists, and/or academic researchers, through the use of a free and open-source data collection platform called KoBoToolbox. Rather than relying on access to audiovisual data, which are typically large and can be difficult to share remotely, the system is based on the creation of digital linguistic metadata with mobile devices linked to a secure central server, giving project leaders the ability to immediately access metadata as it is submitted, quickly generate summary reports and visualizations, and export metadata for further processing and archiving. The system is suitable for anyone who would like to integrate mobile metadata into a new or ongoing project and is able to provide the necessary training either remotely or in person.

This paper explores four main areas that will likely have an impact upon the future of information organization education. In particular, information organization education must be prepared for the continued shift from the use of traditional library cataloging standards to more web-compliant, linked-data standards. Also, there will be more emphasis on the ethical impact of information organization work and the achievement of behavioral competencies of students interested in information organization. Finally, the paper addresses the need for educators to improve their teaching ability in order to more effectively impart the importance of information organization to all library and information science students.

Language archives, like other scholarly digital repositories, are built with two major audiences in mind. These are depositors of language data and various potential end-users of these materials: researchers (linguistics and others), language communities, students, educators, artists, etc. Being a relatively new phenomenon, language archives have made significant strides forward in providing access to digital language data. With the purpose of identifying the needs of language archive end-users (both met and currently unmet), our interdisciplinary team of linguists and information scientists interviewed language archive managers, end-users, and depositors. This study offers a first look into the decision-making processes and end-user experiences of these groups. To support the continued development of language archives, the exploratory study reported in this article provides empirical data on language archive user needs and supports some anecdotal evidence of known issues facing language archive end-users, depositors, and managers in primarily academic contexts.

How can the creation, management, and use of metadata developed as part of post-custodial archival projects and partnerships between United States based institutions and Latin American organizations improve current archival description praxis? By recognizing that many historically colonized and oppressed communities in Latin America seek to redefine and address longstanding racism, homophobia, cultural hegemony, and classism both locally and abroad, this article argues that this work cannot rest solely on the shoulders of those most impacted by colonialism and White supremacy. Through a critical archival studies lens, the author situates traditional metadata practices while also juxtaposing them against those used in a post-custodial paradigm. In addition, anti-colonial and anti-racist frameworks interrogate the cultural, power, and racial dynamics within the partnerships. Concrete examples from the author's work in Colombia and Brazil provide the backdrop for a critical reflection on the unique methodologies used throughout various post-custodial projects. In order to truly unsettle institutional archives, archivists and others in positions of power must relinquish authority and complete control through the work of description in an effort to make space for those most oftentimes excluded or ignored.

Learning has transcended into a life-long endeavor in the information age. It is no longer restricted to confines of formal classrooms. Consequently, a student is not restricted to traditional learning resources like teachers, textbooks or printed content. Digital resources available on the Internet form a very significant component of self-learning. Copious volumes of learning resources without legal barriers to self-learning reside in digital repositories, educational institution portals and on numerous websites. Learners wishing to utilize the web for personalized learning are faced with a daunting array of content to wade through and select the suitable ones to fulfill his/her learning objectives. Therefore, it is not a question of availability; it is one of relevance and suitability. Typically, in addition to time constraints, learners lack the expertise to screen content for effective eLearning. Adaptive hypermedia systems (AHSs) offer a path to harnessing this large volume of learning resources for personalized learning. This "review paper" provides a concise and coherent discussion about the evolution of AHSs along with the challenges that need to be addressed for effectively harnessing openly available educational resources referred to as open corpus resources (OCRs).

The marketing of the Massachusetts Institute of Technology (MIT) Open Courseware gives the impression that it has the potential to contribute to quality open learning and opening up higher education globally. It is from this perspective that the potential contribution of Open Educational Resources (OER) units in the MIT Open Courseware to opening up higher education in Rwanda was investigated. Ten OER units were sampled as objects of the study. I took the role of an archive analyst, giving full attention to any item that constituted each unit. Results indicate that only one unit had enough openly licensed resources to enable its potential adaptation for use in opening up higher education. In other units, only metadata (course information, the syllabus, course calendar, and the list of required and suggested readings), assignments and/or quizzes/exams were openly licensed. Most (if not all) of the required and suggested readings, which are the core learning materials learners need to engage with for quality learning, had to be purchased, mostly from the Amazon website. On the basis of these findings, I argue that the MIT Open Courseware served the marketing agenda (probably for the purpose of acquiring funding), rather than the open access agenda. The study may benefit funding organisations, educators and institutions that are interested in supporting or engaging in the production, adaptation and use of OER with an agenda to contribute to opening up higher education.