Reviewerly/exHarmony huggingface dataset:
What degree of disruption to students' reading comprehension occurs when spacing is removed from text?

Objectives The purpose of this study was to investigate the degree to which students' reading comprehension is disrupted when spacing is removed from text.&#x0D; Methods To this end, 200 high school students were perform an inferential reading comprehension in which texts with different spacing were evenly distributed. Based on the performance of the reading task, the degree to which students' reading comprehension is disrupted when spacing is removed from text was analyzed through effect size.&#x0D; Results First, the average score of reading comprehension in the text with maintained spacing (hereafter Condition 1) was higher than that of the text with removed spacing (hereafter Condition 2). Second, the average score of reading comprehension in Condition 1 was higher than that in Condition 2 for both explanatory and narrative texts, but the difference was greater in the explanatory text. Third, the difference between high-level and low-level students was significant in both Condition 1 and Condition 2, and the average score of reading comprehension in Condition 1 was higher than that in Condition 2 for both high-level and low-level students. Fourth, the average score of reading comprehension for female students was higher than that for male students in both Condition 1 and Condition 2.&#x0D; Conclusions Considering this, the impact of cognitive interference factors such as spacing differs depending on the type of text. Therefore, it is necessary to explore instructional approaches that can compensate for the gap in reading comprehension caused by differences in difficulty and preference depending on the type of text.
In the implementation of project-based play A study on the experiences of pre-service early childhood teachers who participated

Objectives This study investigated the experiences of prospective early childhood teachers who participated in project-based play execution.&#x0D; Methods To this end, a study was conducted for a total of 15 weeks from September 1 to December 8, 2022, targeting 34 first-year students in the three-year early childhood education department in S City. The method of conducting the study was conducted during the infant teaching method class, and the process of preparation-execution-evaluation was conducted by referring to the development method of the project approach proposed by Moon Yeon-sim (2017) and the PBL class of Choi Jung-im and Jang Kyung-won (2015). Data collection and analysis are activity reports, problem analysis papers, final reports, video and photos of play execution, reflective journals of prospective early childhood teachers, and interview data with researchers.&#x0D; Results First, through project-based play implementation, prospective early childhood teachers experienced that teachers must first experience in order to conduct a play-oriented curriculum. Second, through project-based play implementation, prospective early childhood teachers experienced practical knowledge through direct experience of play. Third, in the process of implementing project-based play, prospective early childhood teachers experienced becoming voluntary learners to help with group activities. Fourth, through project-based play implementation, prospective early childhood teachers experienced changing their thoughts on play.&#x0D; Conclusions Through the experience of project-based play execution, prospective early childhood teachers have learned the necessity and importance of play for infants and toddlers, suggesting that educational discussions on practical knowledge such as project activities need to be made.
A Study on the Strategies to Enhance the Teaching Presence of Online Class in Higher Education

Objectives This study explored learners’ perceptions of non-face-to-face SW classes at a university, and the preferred characteristics related to the instructor’s presence.&#x0D; Methods In total, 106 students in University H’s Creative Thinking and Coding course were asked to assess the instructor’s presence. A mixed methodology of qualitative data and network analyses was used.&#x0D; Results According to the analysis, (1) rankings in terms of the instructor’s presence were in the order of “teaching-design-teacher’s presence and facilitation.” Subcategory items for each category ranked as follows: “teaching: subject feedback,” “design: effective use of media,” “instructor’s presence: concern for learners,” and “facilitation: sharing meaning and understanding.” (2) Learners’ perceptions were primarily a fear of programming classes and the expectation that learning alone would be difficult and accompanied by a sense of isolation, the need for self-examination of one’s own learning process and problem-solving strategy with the instructor’s help, and a strong interest in a non-face-to-face learning reflection journal as an interactive tool; and (3) in the “design” category of the instructor’s presence, the top three keywords with high-link centrality were “class-course-difficulty.” In the category of “facilitating,” they were “question-feedback-sharing.” In the category of “teaching,” the top keywords were “instructor-feedback-question,” and in the “instructor’s presence” category, they were “question-learning journey-record.”&#x0D; Conclusions Based on the study, the following findings were presented: first, the instructor’s digital-based class design competency; second, teaching-learning with other students using an e-scaffolding strategy; third, instructor feedback regarding the digital environment and course characteristics; and finally, the need for efforts and measures to improve the effectiveness of exchanges of e-learning reflection journals.
A Development Study of Evaluation Criteria for Convergence Curriculum in Universities

Objectives In a rapidly changing society, there is a growing demand for convergence education through multidisciplinary and interdisciplinary curriculum beyond traditional major education centered on a single major. Therefore, this study developed a university convergence curriculum evaluation model considering the specificity of convergence education, and developed evaluation criteria for managing the quality of convergence education.&#x0D; Methods Based on the results of previous studies, a preliminary draft for a convergence curriculum evaluation emphasizing ‘deliberation’ was made, revised into an initial version through the first expert council, and conducted a second expert survey to refine it into a revised version. Finally, the final version of the convergence curriculum was derived based on the contents of consultation between the researchers.&#x0D; Results To this end, As a result of the study, a CDPP evaluation model was proposed that transformed the existing decision making evaluation model(CIPP) as the deliberation of those involved in convergence education was an important factor for evaluating the convergence curriculum. Also, according to the CDPP evaluation model, 4 large areas, 10 medium areas, 25 small areas, and 63 detailed evaluation indicators were developed.&#x0D; Conclusions In order to systematize the university convergence curriculum, ‘deliberation’ of those involved in planning and designing the convergence curriculum is essential. In addition, there is a need for ‘administrative and financial support’ for students to organize and operate the convergence curriculum and a ‘performance management’ system to help systematize the convergence curriculum.
Korean Culture class design based on CBI Adjunct Language Instruction Model for Korean short term immersion program learners

Objectives This study aims to present an instructional design and a lesson plan based on the content-based instruction (CBI) model for short-term immersion course learners who aim to learn the Korean language and culture.&#x0D; Methods This study examined cultural learning goals and instructional models through literature research to design Korean cultural classes and develop a lesson plan. Next, this study explored the characteristics, theoretical grounds, and models of CBI, and other previous research was examined to prepare curriculum and specific class plans. Finally, for curriculum development, this article applied the procedure of the curriculum guideline (6T) for content-based classes proposed by Stroller&amp;Grabe (1997). Furthermore, to select the class theme, this study conducted the need analysis with the entrusted institution of this program.&#x0D; Results Finally, this study adopted the Adjunct language instruction model to design the class and develop the curriculum. Moreover, the ITB model was applied, and instructional strategies were presented for specific institutional design. In the Into stage, vocabulary quizzes and warming up activities to support learners' schema formation were designed, and the Through stage was divided into two stages: reading and listening activities by language instructors and special lectures by content instructors. In the Beyond stage, hands on activities related to the special lecture and a language class to review learning contents were designed. Finally, this study presented examples of class materials on the “Modern Korean Food Culture and Table Changes.”&#x0D; Conclusions The implication of this study is to provide a framework for designing and planning a culture class that integrates three elements of the culture described in the 3P model. In particular, the instructional design proposed in this study ensures the learners' expertise in content and linguistic support because the co-work of subject matter experts and language instructors carefully developed the class activities and materials. Also, the instructional design proposed in this study is differentiated from the existing cultural class design in that it allows learners to experience what they have learned in person in connection with experiential activities.
A Systematic Review on Recommender System Models, Challenges, Domains and Its Perspectives

The accelerated tremendous reach of web applications substantially raises the demand for effective recommender systems to examine and filter required content from the vast quantity of information. Recommender systems have evolved in this digital arena as a way to aid users by giving them possibilities among acceptable and relevant items by analyzing user interests. In this system, the preferences as well as prior behavior patterns of the users, have been utilized to give a recommendation. The utilization of recommendation models became a crucial component in digital marketing strategy. It also plays a vital role in areas such as streaming services (movies, music, and books), social networking systems, e-governance, e-commerce (shopping), e-library, e-learning, tourism, resource services, any group activities and much more. Recently it has been inducted into healthcare, education and a wide variety of user’s needs, to help the users in discovering and fetching related interests. However, the main challenges like cold start, sparsity, grey sheep, starvation, and shilling can degrade the performance of the recommender system. Research on recommender system has raised significantly to make the system overcome the challenges and enhance the accuracy of predictions. This article aims to provide a comprehensive review on the main models, challenges, evaluation methods, and metrics of the recommender system. Also aimed to provide a glimpse of the domains and tools concerning the recommender system. Future prospects were also to explore additional insights, and unresolved concerns in the area of RS to support future researchers.
Face Mask Detection: An Application of Artificial Intelligence

COVID-19 has been announced as a new pandemic which has affected almost all the countries of the world. Millions of people have become sick and thousands have died due to the respiratory illness caused by the virus. The virus is known to spread when small droplets from nose or mouth of an infected person gets dissolved in air when he or she coughs or exhales or when a person touches a surface infected with virus. The governments all over the world are working on ways to curb the spread of this virus. Multidisciplinary researchers are working to find the best solutions in their own way. Out of the many solutions wearing surgical facemasks is being one of the best preventive measures to limit the spread of corona virus. These masks support filtration of air and adequate breathability. But the problem is that few people don’t use the masks regularly or occasionally due to various reasons like negligence and discomfort etc. This is one of the main causes of high spread of COVID. So, there is a strong need to detect people without mask at public places and to aware them. There are so many initiatives taken by government in this direction, but all have their limitation in one or the other way. So, there is a strong need of a digital solution to ensure that people comply with the government rules of wearing masks in public place sand to recognize unmasked faces on existing monitoring systems to maintain safety and security. Facial recognition systems were being used to identify faces using technology that includes hardware like video cameras. These systems work by combining AI based pattern recognition system along with biometrics to map facial features from an image and compare it with a database of known faces. This research content is also an initiative in this direction to optimize the results.
Social Distancing and Face Mask Detection Using Open CV

In 2019, people are getting sick from the coronavirus. We can only stay safe from the epidemic if we wear masks and stay away from each other. Airports, hotels, hospitals, and train stations, among other places, require users to wear the Mask and stay away from other people. Manually checking people to see if they follow the mask-and-distance rule is hard because it costs a lot. The COVID-19 Face Mask and Social Distancing Detector System uses machine learning to find face masks and social distances at the same time. It does this by combining high-level contextual features with feature maps and an artificial neural network. IP address and CCTV cameras with computer vision would be used in the technology to identify people without masks or social isolation. This solution keeps things safe even when no one is watching. The technology could help hospitals, offices, schools, building sites, airports, and more. People may be safer if they use our face mask and social distance detecting device.
Transformation of the main directions and trajectories of professional preferences of high school students

Complex and contradictory processes of change in all spheres of public life in Kazakhstan impose special requirements on the quality of professional socialization of a young specialist and their professional education. The article is based on a comprehensive analysis of the problem of early adaptation of schoolchildren to vocational guidance in order to prepare competitive specialists who meet the requirements of the labor market. The results of a sociological study conducted among high school students in the regions of Kazakhstan are analyzed, differences in the attitudes of students in general education and specialized schools, and features of the professional choice of boys and girls are assessed. The purpose of the study is to analyze the impact of changes in the world, society, as well as the process of digitalization on the transformation of the main directions and trajectories of professional preferences of high school students. The main directions and ideas of the study are closely related to the reflection of ongoing changes in the field of secondary education in the context of the modernization of Kazakhstani society. The scientific significance of the work lies in the description of important priorities and values in the formation of professional preferences of high school students, and the practical significance in the implementation of important ideas reflected in state documents regarding the development of secondary education. The survey was attended by 558 respondents-high school students of Kazakhstan's megacities: Astana, Almaty, Shymkent, as well as districts and rural areas of Almaty and Turkestan regions. The results obtained are valuable for the development of professional qualities of schoolchildren.Key words: professional preference, transformation, trajectory preferences, high school students, professionalism, professional orientation of schoolchildren.
IMPLEMENTATION OF IOT BASED PATIENT HEALTH MONITORING SYSTEM USING ESP32 WEB SERVER

The focus of this project is to implement an intelligent health care system based on internet of things (IOT) for the measurement of the vital signs like pulse rate, temperature, spo2, using (ESP32 div kit) for wireless wearable sensor controller and ESP32 server. With the system proposed, the doctor can save work time to visit the patients that responsible about them and any facilitates monitoring the huge number of patients. The WI-FI technology is utilized as a communication tool to allow transmission the data remotely. The data of patient are sent to the web server to be stored in the database and view the data on the web page anywhere and anytime using smart devices and alert the doctor to any abnormal state. This work with the intelligent health care system provide an efficient medical service, by collecting and recording the information that include heart rate, temperature and spo2 that enable the doctor to monitor this patient with flexibility and confidence. Also, we highlight the challenges in the implementation of IoT health monitoring system in real world.
Ein Ende des Todes im Cyberspace? (Un-)Sterblichkeitsphantasien im Transhumanismus

No AccessEin Ende des Todes im Cyberspace? (Un-)Sterblichkeitsphantasien im TranshumanismusCaroline HelmusCaroline HelmusSearch for more papers by this authorhttps://doi.org/10.7788/9783412527037.291SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverBeihefte zum Archiv für KulturgeschichteVolume 99 1. AuflageISBN: 978-3-412-52701-3 eISBN: 978-3-412-52703-7HistoryPublished online:July 2023 PDF download
LITERACY AND DIGITAL LITERACY: REVISITING FUNDAMENTAL EDUCATIONAL CONCEPTS FOR BETTER INTEGRATION INTO TEACHING AND LEARNING

LITERACY AND DIGITAL LITERACY: REVISITING FUNDAMENTAL EDUCATIONAL CONCEPTS FOR BETTER INTEGRATION INTO TEACHING AND LEARNING
INFORMAL LEARNING EXPERIENCES BY EXPLORATION OF VISUAL RESEARCH DATA IN A SCIENCE CENTER

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 7400-7409ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1925Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
POLICY FOR DIGITAL TRANSFORMATION IN SCHOOLS – CASE STUDY OF VIETNAM

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 7585-7593ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1973Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
TEACHER TRAINING FOR DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGIES INTEGRATION INTO THE CURRICULA DURING THE COVID-19 PANDEMIC

TEACHER TRAINING FOR DIGITAL INFORMATION AND COMMUNICATION TECHNOLOGIES INTEGRATION INTO THE CURRICULA DURING THE COVID-19 PANDEMIC
ANOMALY DETECTION IN LEARNING ANALYTICS: FACILITATING DOMAIN EXPERTS' SENSEMAKING OF HETEROGENEOUS STUDENT DATA

ANOMALY DETECTION IN LEARNING ANALYTICS: FACILITATING DOMAIN EXPERTS' SENSEMAKING OF HETEROGENEOUS STUDENT DATA
EXPERIENCE OF INTERNATIONAL COLLABORATION BETWEEN UNIVERSITIES AND TECHNOLOGY CENTERS BASED ON THE CASE OF THE DESIGN OF A SMART FAÇADE SYSTEM

EXPERIENCE OF INTERNATIONAL COLLABORATION BETWEEN UNIVERSITIES AND TECHNOLOGY CENTERS BASED ON THE CASE OF THE DESIGN OF A SMART FAÇADE SYSTEM
PRESS START TO BEGIN. BENEFITS AND ISSUES OF GAMIFICATION

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 412-418ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0182Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
MOTIVATIONAL FACTORS FOR INCREASING DIGITAL COMPETENCE AND INFORMATION LITERACY OF UNIVERSITY STUDENTS

MOTIVATIONAL FACTORS FOR INCREASING DIGITAL COMPETENCE AND INFORMATION LITERACY OF UNIVERSITY STUDENTS
CHILDREN’S LITERATURE AND PERSONAL AND SOCIAL DEVELOPMENT IN EARLY CHILDHOOD EDUCATION: A PRACTITIONER RESEARCH STUDY

CHILDREN’S LITERATURE AND PERSONAL AND SOCIAL DEVELOPMENT IN EARLY CHILDHOOD EDUCATION: A PRACTITIONER RESEARCH STUDY
SOCIAL MEDIA AND LEARNING: HAVE THE TENDENCIES CHANGED? EVIDENCE FROM THE UNIVERSITY OF CANTABRIA

Appears in: EDULEARN23 Proceedings Publication year: 2023Page: 1524 (abstract only)ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0472Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
PREDICT: JOBS OF THE FUTURE WITH AI 4 VET INCLUSION

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 128-133ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0070Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
EXPERIENTIAL LEARNING USING AUGMENTED REALITY IN ENGINEERING EDUCATION

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 1404-1412ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0445Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
DEVELOPING INTERACTIVE LANGUAGE AND GRAMMAR LESSONS USING STREAM, MS FORMS, SWAY AND PODCASTS

Appears in: EDULEARN23 Proceedings Publication year: 2023Page: 236 (abstract only)ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0109Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
SCHOOL LEADERS AND PROFESSIONAL DIGITAL COMPETENCE FOR TEACHERS

Appears in: EDULEARN23 Proceedings Publication year: 2023Page: 437 (abstract only)ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0192Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
A study on the compatibility of pronouns between Korean and Spanish in AI translation-Focused on the empty category pro-

This paper investigates the empty category subject pro, and if necessary, PRO included in the discussion. To accomplish this, example sentences related to pro were extracted from a novel, and the AI's ability to recognize, process, and translate them was evaluated. When the AI translation outcomes are compared with the author’s translation, they revealed numerous errors across syntactic-semantic fields. Furthermore, by comparing translations with a time difference between 2020 and 2022, the development trend and speed of AI translation were gauged. Although both Korean and Spanish have pro, their usage, syntax, and scope of use differ. However, AI cannot recognize these distinctions, creating errors in translation. Specifically, anaphoric interpretation of pro is handled to some extent, but cataphoric interpretation is not. Furthermore, in dialogue, mistranslations occur because AI translators fail to grasp the referential relationship between speakers and listeners. In Spanish, the subject complement or predicate in a non-argument Small Clause must agree in gender and number with the subject, whether it is an empty category or a pronoun, but in Korean, no such agreement exists. As a result, AI translators have difficulty processing these small clause structure translations.