Reviewerly/exHarmony huggingface dataset:
Towards Mutual Benefit: Reflecting on Artist Residencies as a Method for Collaboration in DIS

While cross-disciplinary collaboration continues to be a cornerstone of inventive work in interactive design, the infrastructures of academia, as well as barriers to participation imposed by our professional organizations, make collaboration between particular groups difficult. In this workshop, we will focus specifically on how artist residencies are addressing (or not addressing) the challenges that artists, craftspeople, and/or independent designers face when collaborating with researchers affiliated with DIS. By focusing on the question “what is mutual benefit?”, this workshop seeks to combine the perspectives of artists and academic researchers who collaborate with artists (through residencies or other forms of sustained collaboration) to (1) reflect on benefits or deficiencies in what the residency research model is currently doing and (2) generate resources for our community to effectively structure and evaluate our methods of collaboration with artists. Our hope is to provide recognition of the research contributions of artists and pathways for equitable inclusion of artists as a first step towards broader infrastructural change.
Substituting Animals with Biohybrid Robots: Speculative Interactions with Animal-Robot Hybrids

What if animals were substituted with biohybrid robots? The replacement of pets with bioinspired robots has long existed within technological imaginaries and HRI research. Addressing developments of bioengineering and biohybrid robots, we depart from such replacement to study futures inhabited by animal-robot hybrids. In this paper, we introduce a speculative concept of assembling and eating biohybrid robots. With this provocation as a starting point, we intend to initiate cross-disciplinary and cross-cultural discussions around human-food interaction practices and related topics.
Resume Shortlisting and Ranking with Transformers

The study shown in this paper helps the human resource domain eliminate the time-consuming recruitment process task. Screening resume is the most critical and challenging task for human resource personnel. Natural Language Processing (NLP) techniques are the computer’s ability to understand spoken/written language. Now a day’s, online recruitment platform is more vigorous along with consultancies. A single job opening will get hundreds of applications. To discover the finest candidate for the position, Human Resource (HR) employees devote extra time to the candidate selection process. Most of the time, shortlisting the best fit for the job is time-consuming and finding an apt person is hectic. The proposed study helps to shortlist the candidates with a better match for the job based on the skills provided in the resume. As it is an automated process, the candidate’s personalized favor and soft skills are not affected by the hiring process. The Sentence-BERT (SBERT) network is a Siamese and triplet network-based variant of the Bidirectional Encoder Representations from Transformers (BERT) architecture, which may generate semantically significant sentence embeddings. An end-to-end tool for the HR domain, which takes hundreds of resumes along with required skills for the job as input and provides the better-ranked candidate fit for the job as output. The SBERT is compared with BERT and proved that it is superior to BERT.
Design and Evaluation Decentralized Transactional Network Based Blockchain Technology Using Omnet++

Blockchain techniques has essential effect in transactions such that it decreases the costs, enhance the trust, and permit decentralized policies for finance network. Blockchain technology allows each participant in the network to have a copy of the transaction ledger where all transactions are stored, and this means that all transactions are verified and viewable by everyone in the decentralized network which offers transparency to all. The Decentralized Finance Transactional Networks (DFTNs) authorizes Peer-to-Peer (P2P) transactions without asking any consent from a third party to accomplish the transaction process. The P2P transactions still need to have a method of maintaining a record of transactions and that is where blockchain technology is introduced. In this paper, the simplest form of the DFTN is implemented using Omnet++ simulation to show how transactions, in form of messages, would be communicated and information would be synced between the network participants. The results showed the ability of the DFTN in implementing the transactions smoothly especially when errors are encountered because the other members would look for the solution while the coder maintains pace in implementing the program logic. Furthermore, the results showed their functionality in avoiding issues with different versions or settings compatibility in the system.
An Experimental Study on The Impact of Digital Multilingual Thematic Dictionary for The Sixth Grade Students’ Literacy Skill

This research aims to present justification for whether or not there is any significant impact of using a digital multilingual thematic dictionary on sixth-grade students’ literacy skills using quasi-experimental research with a pre-test and post-test only control group design. The researcher determined the research sample using statistical matching scores proposed by Fraenkel et al. (2012). The statistical matching scores were administered in determining the two intact groups. Two intact groups which had similar scores and were statistically proven to have insignificant differences in abilities were selected as the research sample, namely; (1) SD N 1 Kubutambahan was the control group, and (2) SD N 3 Banjar Jawa was the experimental group. The instruments used in this research were literacy skill tests which contain pre-test and post-test questions, and teaching scenarios for the control and experimental group. The pre-test was given before treatment and the post-test was given after treatment. Both groups received three times of treatments with three materials namely home activities, animals, and public places. The obtained data were analyzed quantitatively with descriptive statistical, inferential statistical, and N-Gain score test analysis. Based on the results of the calculation of the N-Gain Score test and the descriptive analysis, the mean score of the N-Gain for the experimental group was 73.3759%, while the mean score of the N-Gain for the control group was 48.0249%. The results of the N-Gain score test show that the use of the digital multilingual thematic dictionary in the experimental group was moderately effective, while the use of the printed thematic picture dictionary in the control group was less effective. Thus, it can be concluded that the digital multilingual thematic dictionary performs better than a printed thematic picture dictionary on sixth-grade students’ literacy skills.
The Effectiveness of PowToon Towards Junior High School Students’ Reading Skills

The purpose of this study is to investigate the effectiveness of using PowToon toward junior high school students’ reading skills. The quantitative method with a quasi-experimental posttest only control group design. The data was analyzed using statistical and inferential analysis through SPSS to get the score. Therefore, the student’s score was used to compare those two groups’ reading skills. The sample of this study was 80 students at SMPN 4 Singaraja who were divided into two groups within one group consisting of 40 students. The collection of data was being collected through a post-test. The result of the study showed that the score of the group who received treatment in this study had significant differences compared with the group who did not use PowToon in the learning process. Furthermore, the data collection was tested using an independent sample t-test in order to know whether the use of PowToon has a significant effect or not. After conducting the test, the result showed that the sig. (2-tailed) was smaller than the alpha level (α = 0.05) in which the result of the test was sig. (2-tailed) 0.000. It can indicate that a significant effect related to the use of PowToon can help the students affect their reading skills. In addition, the use of PowToon was highly recommended use in affecting the students’ reading skills because it has a significant effect on the students and also this tool can make the activity of the learning process be more efficient, entertaining, interesting, and enjoyable.
Tactful Feminist Sensing: Designing for Touching Vaginal Fluids

Observing the texture, color, and conductivity of cervical mucus has the potential to support menstrual cycle and fertility tracking, generating a layer of rich bodily, tactile/haptic knowledge in addition to other collected data, such as cycle length or body temperature. This pictorial presents design explorations, four design concepts, and one prototype of a sensor for measuring the conductivity of cervical mucus in vaginal fluids. We present these as instances in the design space for sensing intimate bodily fluids and provide discussions on the proximities, visibilities, and temporalities of these sensing technologies. We offer the unfolding concept of “tactful feminist sensing”, opening up for further engagements with intimate care that attend to the multiplicity and fleshiness of bodies.
IMPLEMENTATION OF VIRTUAL REALITY TECHNOLOGY IN VOCATIONAL LEARNING

This study aims to produce innovative virtual reality-based works that can be used as archiving learning media. The design of this study adopts the Borg and Gall model which consists of 10 stages. As for the location of the implementation research at SMKN 1 Ngawi Department of Office Management and Business Services. The trial subjects involved 15 students in the small group trial and 50 students in the large group trial. This research activity also involved a validator expert to determine the feasibility and validity of the product being developed. The results of this research and development are learning media called V-Archives that are feasible and valid to be applied in the archiving learning process. This is based on the results of small group trials which obtained an average of 87% and large group trials obtained an average of 92%. While the results of the media expert validator and material expert obtained an average score of 90.75. So it can be concluded that V-Archive learning media can be used as an alternative learning media for archiving subjects
Saba Akbarabadi and Thematic Threnodes(Marsiya)

Saba Akbarabadi is seen as a bright star in the sky of Threnodes. Although he is the author of more than three hundred ghazals, he is best known for writing naats and threonodes. Like Josh Malihabadi, Saba Akbarabadi embellished the Threnodes with modern themes and shaped the Threnodes into a poem that represents the literature of life. The themes that Saba has included in the theranods and discussed their importance and nature in a poetic, philosophical and intellectual manner, this kind of creation is rarely seen in Urdu theranods. Among the themes that Saba chose are wind, dust, humans, migration, life, insight and vision etc. Saba has linked these themes to Karbala. These themes are rarely discussed in the genre of Theranods. By the end of the 20th century, threnodes were dying out. Saba made Threnodes a part of scientific and philosophical discourse to go beyond lamentation to facts and this is his great achievement.This article is a key attempt to explore themes of the Threnodes of the Saba Akbarabadi.
Switch2Move: Designing a Tangible Interface with People Living with Dementia for Initiating and Engaging in Music-Supported Exercises at Home

Dance exercises offer recreational and social activities that engage people with dementia in physical exercise to increase fitness and cognitive functioning. However, there is limited research on how technology supports people with dementia to initiate and engage in music-supported dance exercises at home. We present Switch2Move: a TV-based home system with a tangible interface to trigger music-supported exercises at home for people with dementia. Four people with dementia and their informal caregivers explored a mockup to reveal design improvements for stimulating initiative and engagement. Next, we evaluated a high-fidelity prototype in the homes of three other couples during a one-week pilot study. The Switch2Move home system stimulated initiative by providing ongoing access in the home setting and supported engagement through daily enjoyment, calmness, and relief. We present opportunities for technology to increase self-efficacy, offer rich experiences, and fit the physical and social home environment of people with dementia.
On Gamification and Students’ Reading Ability in Vocational High School

Network connectivity, communication interaction, and technology enjoyment are the consumption of the digital generation.The application of learning media is interesting in the world of educational teaching especially in teaching reading. The objective of this research is to investigate the effect of gamification on students' reading ability. This research implemented quasi-experiment method with pre-test and post-test nonequivalent group design. In the experimental class, the students were taught using the gamification, while the control class was by conventional method. The researchers used cluster sampling where 24 students became the sample in experiment class and 12 students in control class respectively. The pretest and posttest were used as an instrument to collect data and the test scores were analyzed using IBM SPSS Statistics 20. The results of independent t test showed the (3.334 &gt; 1.694) and the average reading ability value of students taught using the gamification increased significantly. Therefore, gamification was recommended as one of the interesting efficient learning media in rectifying students' reading ability
A Critical Review of Faults in Cloud Computing: Types, Detection, and Mitigation Schemes

The continuous rise in for demand services in large-scale distributed systems led to the development of cloud Computing (CC). Because it provides a combination of various software resources, CC is considered dynamically scalable. However, due to the cloud’s dynamic environment, a variety of unanticipated problems and faults occur that hinder CC performance. Fault tolerance refers to a platform’s capacity to respond smoothly to unanticipated hardware or programming failure. Failure must be analyzed and dealt with efficiently in cloud computing in order to accomplish high accuracy and reliability. Over the years, a significant number of techniques and approaches have been proposed for detecting the faults in CC as well as increasing their tolerance ability. In this review paper, we first provided a brief overview of Cloud computing systems, their architecture, and their working mechanism. Moreover, the services provided by Cloud computing and the issues faced by it are also highlighted in this paper. Also, the taxonomy of various faults that occur in the CC environment along with their mitigation techniques is discussed. Furthermore, it has been analyzed that traditional fault detection methods were not generating effective results which resulted in poor performance in cloud environments. Therefore, an ample number of authors stated to use Machine Learning (ML) based models for fault detection in CC. Nonetheless, ML algorithms were not able to handle a large volume of data therefore the concept of Deep Learning was introduced in fault detection approaches. Moreover, it has been also observed that the performance of DL methods can be enhanced significantly by using optimization algorithms along with them. Some of the recently proposed fault detection and tolerant systems based on ML, DL and optimization have been reviewed in this paper.
CURRENT TRENDS IN THE DEVELOPMENT OF PROFESSIONAL LITERACY IN CRITICAL SOCIAL WORK EDUCATION

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 6050-6055ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1579Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
TUTORING HIGHER EDUCATION MATHEMATICS STUDENTS THROUGH INTELLIGENT LEARNING SOFTWARE

1 Instituto Superior Politécnico Gaya (PORTUGAL)2 Instituto Superior Politécnico Gaya, CEOS.PP (PORTUGAL)
NEW ACTIVE METHODOLOGIES TO IMPROVE ACADEMIC PERFORMANCE IN THE UNIVERSITY CONTEXT: THE WOOCLAP EXPERIENCE

NEW ACTIVE METHODOLOGIES TO IMPROVE ACADEMIC PERFORMANCE IN THE UNIVERSITY CONTEXT: THE WOOCLAP EXPERIENCE
BLENDED LEARNING READINESS IN A MEXICAN HIGHER EDUCATION INSTITUTION: A PILOT STUDY

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 3416-3429ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0941Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
DIGITAL TRANSFORMATION OF EDUCATIONAL ECOSYSTEM AND GRANTS SUPPORT SYSTEM IN SCHOOLS

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 5976-5981ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1562Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
USING SMART LABS TO SUPPORT STUDENTS AND TEACHERS

NOVA School of Science and Technology, Center of Technology and Systems and Associated Lab of Intelligent Systems, NOVA University Lisbon (PORTUGAL)
ENHANCING EXPERIENCED EXPERTS’ CONTRIBUTION IN HIGHER EDUCATION OF SOCIO-PEDAGOGICAL EDUCATORS

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 4533-4536ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1196Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
INFORMATICS IN THE FIRST LEVEL OF PRIMARY SCHOOL

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 4155-4164ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.1110Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
ADAPTING COMPANY EMPLOYEE TRAINING IN SALES AND MANUFACTURING SECTORS USING VIRTUAL REALITY: A CASE STUDY COMPARISON

ADAPTING COMPANY EMPLOYEE TRAINING IN SALES AND MANUFACTURING SECTORS USING VIRTUAL REALITY: A CASE STUDY COMPARISON
Research on the Design of Online Teaching System of Basketball Basic Skill Based on Computer

With the popularization of multimedia teaching and application update, the advantages of this information technology in teaching have become increasingly prominent, and continue to go beyond the simple application model to the independent research and development model. It is very obvious in higher education, and a new type of educational informatization development mode of "application development" is emerging. Practice has proved that the education model of "Internet plus Education" is leading China to the era of education informatization 2.0. To drive the modernization of education with informatization will be the only way to realize the high quality and balanced development of education. The application of computers and other modern tools will help promote the implementation and development of systematic education methods in basketball education, and promote the scientific implementation and management of basketball teaching. Based on this, this paper first analyzes the theoretical basis of online teaching system of basic basketball skills, then studies the design of web-based teaching system of basic basketball skills based on computer, and finally gives the design of online teaching resources of basic basketball skills based on computer technology. The system highlights the characteristics of practical teaching of technical subjects, abandons the performance of online teaching system for light viewing and reference, innovatively proposes the learning mode of timely evaluation, real-time learning and simulation comparison, and effectively improves the students' interest in learning basic basketball skills. Make great use of students' spare time after class to learn technical skills, and provide innovative basis for the reform of technical practice teaching.
A Two-level authentication for Attendance Management System using deep learning techniques

Monitoring attendance is an essential administrative function in all educational institutions and organizations. A well-structured framework will facilitate the expansion of institutions. It reduces the instructors’ time and effort by assisting both students and teachers in improving attendance. The existing conventional physical classroom system is insecure, disruptive to teaching, and time-consuming to gather and store student attendance, which hampers the educational activities. The proposed system is a hybridized framework of face detection and recognition, and ID card detection and card text verification that adds to the two level authentication system. At the first level, the proposed system recognizes the individual, authenticates it with database data, and detects the ID card using deep Hog based ResNet feature extraction syttem. At the second level, YoloV7 based Easy OCR reads the details and marks the concerned individual as present. This hybridized framework is accurate in identifying the persons irrespective of the illumination conditions and an efficient attendance system.
Solar Resource Zoning Method Considering Spatial and Temporal Characteristics

In the context of climate change, the share of global renewable energy generation continues to grow. The flexible supply and demand balance of the system has become a central planning and operational concern, which places greater demands on the integrated management of solar resources. In planning, modelling only individual plants is computationally complex because of the large number of photovoltaic (PV) plants and their widely distributed locations. A model for zoning solar resources considering spatial and temporal characteristics is established in this paper. The annual irradiance eigenvectors are used as clustering indicators in each spatial area grid. K-means clustering is performed after determining the optimal number of clusters using the Davis-Boldin criterion. Using satellite data collected from 1987 to 2016 in a province of China as the research object, generation density was used to verify the effectiveness of the method and process.
Deep Clustering Based on Contractive Autoencoder and Self-paced Learning

Cluster analysis is a common analysis method in the field of data mining, which aims to partition unlabeled input data into different clusters through a predefined similarity measure. With the advent of the era of big data, people often face the problems of large scale and high dimensional sample data. At this time, using the traditional clustering algorithm may lead to problems such as long time consumption and poor clustering performance. Therefore, this paper proposes a deep clustering algorithm based on contractive autoencoder and self-paced learning. In the pre-training stage, robust features are learned by using a trained contractive autoencoder, and the Frobenius norm is added as a penalty term in the conventional autoencoder framework to avoid learning meaningless features. In the tuning phase, the clustering loss is directly applied to the learned features, which are jointly refined and assigned to clusters. At the same time, a self-paced learning mechanism is introduced to stabilize the training process, and the most confident samples are selected in each iteration. Finally, the effectiveness of the proposed method is verified by comparing with domestic and foreign deep clustering algorithms on four commonly used data sets.