Reviewerly/exHarmony huggingface dataset:
Presentation as One of The Best Models for Teaching Speaking

The aim of the research is to show that presentation is one of the best models for teaching speaking for accounting education students. This research and development study consists of exploration, designing model draft, validating model, experts jugment, revising model, implementing model, data description, data analysis, findings and discussion, recommendation, revising, the final model and dissemination. Technique of data collection was obtained by using test, interview, observation and documentation; Technique of data analyze for quantitative data used non independent t-test. To analyze the qualitative data, the researcher used trianggulation and flow model of analysis. The research results showed that: 1. The first model improves the students’ bravery to speak up in front of the audience and make a better condition of the students’ speaking environment. 2. The second model results showed that the development of the students’ speaking ability grew up rapidly and their grammar and vocabulary also getting better. 3. The Final Model makes very clear improvement on their bravery to speak up in front of the audience. Their learning progress and speaking ability grow up rapidly, their grammar and vocabulary also increased significantly. The computation result showed that all of the results is higher than tt (2,02). It showed that Developing a model of teaching speaking through presentation is good, suitable and accurate for teaching and improving the Accounting Education Students’ Speaking Ability of Muhammadiyah University of Surakarta is proved correct and significant.
Designprocessen i en agil IT-miljö

The field of software and web development is constantly changing, which is why the agile methods were created and are now the standard in many companies. Design and development go hand in hand, esp ...
Changes in pre-service early childhood teachers perception of special education after participation in special education introductory class by applying reflection journal

본 연구의 목적은 성찰일지를 활용한 특수교육학개론 수업 참여를 통해 예비유아교사의 특수교육에 대한 인식이 어떻게 변화되는지 살펴보고, 성찰일지를 활용한 수업이 갖는 교육적 의미와 이와 관련한 수업설계에 대한 시사점을 제공하는데 있다. 연구 참여자는 특수교육학개론을 수강하는 예비유아교사 56명이며, 수업 전 후로 작성된 성찰일지, 면담자료, 연구자 일지, 수업 결과물 등의 자료를 수집하여 질적 분석하였다. 이러한 분석결과를 바탕으로 예비유아교사들에게 나타난 특수교육에 대한 인식 변화과정을 요약하면 다음과 같다. 첫째, 특수교육의 대상에 대한 인식의 변화가 나타났다. 둘째, 특수아를 무한한 잠재력이 있는 대상으로서 인식하기에 변화가 나타났다. 셋째, 특수아와 양육자의 어려움 공감하기에 대한 변화가 나타났다. 넷째, 예비교사로서의 봉사 실천하기와 자신을 긍정적으로 인식하기에 대한 변화가 나타났다. 본 연구결과를 통하여 교수-학습과정에서 나타난 성찰일지 작성과 수업에서의 활용은 학습자의 능동적인 참여와 특수교육에 대한 긍정적인 인식의 변화에 효과적이었음을 시사한다.The purpose of this study is to examine how the perception of the special education of pre-service early childhood teacher changes through participation in Special Education Introductory course using the reflection journal, and to learn about the educational meaning of the lessons using the reflection journals and related instructional design. Participants in the study were 56 pre-service early childhood teachers taking an introduction to special education studies. Qualitative analysis was done by collecting data such as reflection journals, interview data, researcher journals, and class results written before and after classes. First, there were changes in perception of the object of special education. Second, there were change in recognizing special children as objects with infinite potential. Third, there were change in empathy between special children and nurturers. Fourth, there were change in the practice of serving as a pre-service teacher and positively recognizing oneself. Through the results of this study, it is suggested that the preparation of the reflection journal and the use in the class that appeared in the teaching-learning process was effective for the active participation of learners and the positive perception of special education.
「애러비」 단편 소설을 활용한 고등학교 영어수업의 개발 및 적용 사례 연구

This study aims to investigate how Korean EFL students in a second year high school English class perceived literature-based instruction using the English short story “Araby,” chosen because of its linguistic accessibility and plot reflecting matters of interest to adolescents. Data included a class survey, a focus group interview with five students, and the teacher’s reflections on teaching the plan and further suggestions. The result indicated that students thought learning language through a short story was very effective for improving their creativity, motivation, and intercultural knowledge. At the same time, the students complained about the discrepancy between such innovative classroom activities and the high stakes college entrance English exam, for which they were under pressure to prepare. They thought that the assessment system should be changed to one that evaluates students’ thinking and maintains their motivation. Based on these results, implications are discussed and some suggestions are made for teachers who are planning to teach literature in their high school English classes. (Pukyong National University)
Student’s attitudes toward application of computer-assisted interactive biology teaching in grammar school

Computer-assisted interactive teaching is one of the more innovative models suitable for application in the natural science teaching process. Previous research showed that computer-assisted interactive methods improve teaching quality and efficiency, contribute to the individualization of teaching, enhance cooperation in teaching and enable use of various knowledge sources. This paper presents the results of a questionnaire on the application of computer-assisted interactive teaching in grammar school for realization of curriculum objectives within the subject, ‘Basics of Molecular Biology’. The questionnaire was aimed at analysing student attitudes and opinions about the applied teaching model. The questionnaire was administered to a sample of 72 students/respondents. On the basis of these results, the opinions of the students were as follows: the classes were dynamic (M = 3.95), this model of learning is good and useful (M = 3.93), this approach to biology teaching enabled them to learn more in a shorter period (M = 3.77) and the application of computer-assisted interactive teaching in biology provided easier learning of biology content and better understanding (M = 3.69). The obtained results recommend increased incorporation of computer-assisted interactive biology teaching in grammar school.
Towards Digital Multigrade One-room Schoolhouses for Underprivileged Communities in Rural Pakistan

Context matters in the design and development of educational opportunities. Despite extensive global efforts to make education accessible for all, one out of every five children are outof-school. The situation demands re-thinking of learning strategies, particularly in underprivileged contexts. Continued advancements in learning technologies may offer novel solutions. The one-room schoolhouse is a centuries-old proven educational system, which has yielded promising results for rural areas. Using a multigrade teaching method, the one-room schoolhouse provides a resilient model for educating children where school administration faces typical issues of remote and rural areas such as lack of quality teachers, fewer children in each level, low socio-economic status of parents, lack of rooms in a school building, etc. This paper reports a case study of an integrated approach to teaching out-of-school children in rural Pakistan using education technology in a one-room schoolhouse environment using a multigrade teaching method. The paper (1) synthesizes the knowledge of practice and research on one-room schoolhouses, multigrade teaching, and education technology developments; (2) reports the on-ground practices of multigrade one-room schoolhouses in a real-life scenario in rural Pakistan and integrating digital capabilities into these schoolhouses; and (3) proposes the ways to implement and scale this method to educate out-of-school children in other underprivileged communities. Cite as Badar, F., Mason, J. (2020) Towards Digital Multigrade One-room Schoolhouses for Underprivileged Communities in Rural Pakistan. Computer-Based Learning in Context, 2(1), 21-39. DOI: 10.5281/zenodo.4057844
Creating a Web Service and Declarative APIs

Nowadays, it seems like every software must be reachable through the network, in the cloud.
PENGEMBANGAN MEDIA VIRTUAL CLASS MELALUI SMARTPHONE PADA DIKLAT TEKNIS PKB DI PERWAKILAN BKKBN PROVINSI BENGKULU TAHUN 2018

This research purpose to produce media that are valid, practical and effective in learning education and training activities organized by the Field of Training and Development at the BKKBN Representative of Bengkulu Province. The method of this research is development research using the Alessi and Trollip development model which consists of three stages, namely the planning, design and development stages. The validation that has been done in study includes three things they are validation for media, validation for Material and Validation for learning design. From the results of the validation that has been done by the validators gets some suggestions and inputs in the form of developed media were declared valid and feasible to be tested. The value of practicality is good value which is the media that has been developed is very practical value from the perspective of participants. On the assessment of effectiveness obtained by Ngain is of 0.73 in the high category. From the results of this research can be concluded that the media that has been developed is valid, practical, and effective for the learning or technical training that held and suggested to other researchers to be able to develop this media and research in other related sectors.
Person Authentication with BehavioSense using Keystroke Biometrics

This paper presents some results of user authentication using BehavioSec software (BehavioSense). BehavioSense provides continuous authentication using behavioral biometrics. Two different public available databases were used in this work. The databases have different numbers of training, test sets and data structure, so the experiments were carried out with different application scenarios. The best result for one of the databases in this study has the EER value only 2.38%.
Supporting the portability of profiles using the blockchain in the Mastodon social network

This Master Thesis has the objective to present a possible solution, using the Blockchain, to solve the fact that Mastodon social network does not support the portability of profiles. Mastodon is one of the most famous DOSN - Decentralized Online Social Network, free, open source, that offers a microblogging service as Twitter. Mastodon supports the interoperability and portability of data across sites, using the ActivityPub open protocol. This allows users connected to one site to follow the users connected to other sites, and to share posts across communities, but if for some reasons, a user decides to migrate to another instance, he/she has to recreate a new account on the new instance with, for example, the unpleasant consequence of loss of followers. Our solution is a prototype based on Hyperledger Fabric, that uses a microservice-like approach. A Server module provides a RESTful API and acts as a gateway between the Mastodon application and the Fabric network, thus the management of certiﬁcates and the connection to the network are independent of the Mastodon application. This makes the implementation easier to maintain on the long term. This solution allows the users to register to different instances of Mastodon with the credentials stored on the Blockchain, to perform the Login and other few operations. This works includes also a dissertation about the Decentralization, the Mastodon social network and the Blockchain.
Quality Preserved Color Image Compression Using Particle Swarm Optimization Algorithm

In this paper, we propose an efficient discrete wavelet transform-based compression method for color images. Generally, the strong correlation exists between the three planes R, G, and B of a color image, where the decrease of this correlation gives an improvement in the compression quality. The proposed method utilizes an efficient technique to reduce this correlation efficiently. In this regard, the main contribution is to design an optimized color space $$S_1S_2S_3$$ using the PSO algorithm to represent the RGB image in a space more appropriate for performing the compression. The idea is to maximize the energy of the image in the plane $$S_1$$ more than in $$S_2$$ and $$S_3$$ . Moreover, we propose to optimize the thresholds appropriate for each plane of the converted image to partially reduce the number of the less important DWT coefficients that correspond to the lower quantity of energy. The obtained results facing those of state-of-the-art methods confirm that the proposed method shows clearly that the proposed method achieves high performances .
LibGuides: Rigor and Reproducibility: Home

Recordings and slides from Rigor and Reproducibility webinar series sponsored by Library and Information Technology Services and the WHSC Data Science Initiative
Image Compression Technology Based on Wavelet Transform

Abstract Image compression based on wavelet transform is to apply wavelet algorithm to multi-resolution decomposition of the image, and to achieve image compression by encoding the obtained wavelet coefficients. First, multi-level wavelet decomposition is performed on the image to obtain the corresponding wavelet coefficients. Then, each layer of wavelet coefficients is quantized to obtain quantized coefficient objects. Finally, the quantized coefficient objects are encoded to obtain compression results. This paper uses Haar wavelet as the wavelet base, selects the 2-level decomposition scale, performs wavelet transform, compresses the reconstructed image by setting a threshold, and calculates the file size ratio and PSNR value before and after compression. The wavelet reconstruction function uses the coefficient matrix, dimensionality information and wavelet base type obtained by wavelet decomposition to perform wavelet reconstruction. The global threshold setting method is selected, and the wavelet high-frequency coefficients are threshold filtered to achieve compression before the reconstruction operation, and then the compressed image is obtained through wavelet reconstruction. After the image has undergone wavelet transformation with a specified scale, most of the energy is concentrated in the fractional part of the wavelet decomposition coefficients. The coefficients of other parts are set to constants by setting a threshold, and only a few decomposition coefficients are retained to represent the entire image.The experimental results show that the storage space of the compressed image is greatly saved and the compressed image does not change significantly from the original image visually.
LibGuides: University Archives & Special Collections (UASC): OneSearch

An introductory guide to using Archives and Special Collections at Adelphi University. search our collections, request materials
Image Super-Resolution Restoration Instance-Based Learning and Iterative Kernel Regression

Abstract This paper proposes an image super-resolution restoration algorithm based on example learning and iterative directional kernel regression, which is used to solve the problem that the existing super-resolution restoration algorithm based on example learning cannot effect the restored image has a small degree of matching with the sample library and the problem of image restoration in the presence of noise. Among them, the example learning can achieve basic image restoration. In the directional kernel regression, the estimated smoothing matrix can obtain the minimum mean square estimation after multiple iterations, and further optimize the super-resolution restored image. Simulation results show that the improved algorithm improves the robustness and edge preservation characteristics of the super-resolution restoration image. Compared with the classical algorithm, the algorithm has better visual effects and the root mean square error can be improved over 15%, and reflect the effectiveness of the algorithm.
2015 개정 교육과정 교과서들은 역사학습의 ‘다원적 관점(multiperspectivity)’을 어떻게 담았는가?

For student learners, the multi perspective of history is a lens for insight into the past and the present. The process of forming one''s own lens, by exploring the past through various lenses, is ultimately important in the process of historical understanding in multi perspectives. To do so, it is necessary to consider all three aspects inherent in the concept of multi perspective in the history textbook and class teaching design. According to studies at home and abroad, the multiperspectivity as a historical learning method and composition principle emphasizes that as a curriculum designer, teachers and textbook authors should provide learning opportunities to develop the ability to read historical source according to historical research norms. It also emphasizes careful design of learning experiences that address the multidisciplinary perspectives of subjects on the layers of time that extend from past to present. “Korean History” of the 2015 revised curriculum is very regrettable in terms of understanding history from a pluralistic perspective. The curriculum basically maintained the chronological framework of the national narrative, and focused on the delivery of core knowledge with the dry and concise statements as much as possible. Therefore, the textbooks of “Korean History” developed based on this have a common limit. There were many shortcomings in setting up various perspectives of historical interpretation to relativize nationalcentered narratives. And There were many problems that were customary in the activities for student''s inquiry. It was confirmed that the historical inquiry, which has been a key part of the textbook since the 7th curriculum, has various structural problems even though it has to play a very important role in the history learning from a pluralistic perspective. For example, students had to approach dichotomously to past people''s perspectives, or be indifferent to the relevance between different perspectives.,Even, there were cases where the author''s judgment on historical events should be accepted. This is not a problem of textbooks, but it should be regarded as the current status and limitations of our history education. In the future, we should make efforts to set up more sophisticated learning topics and design learning activities.
Implementation of visualizations using a server-client architecture : Effects on performance measurements

Visualizing large datasets poses challenges in terms of how to create visualization applications with good performance. Due to the amount of data, transfer speed and processing speed may lead to wa ...
A Deep Learning Approach to Tongue Detection for Pediatric Population

Children with severe disabilities and complex communication needs face limitations in the usage of access technology (AT) devices. Conventional ATs (e.g., mechanical switches) can be insufficient for nonverbal children and those with limited voluntary motion control. Automatic techniques for the detection of tongue gestures represent a promising pathway. Previous studies have shown the robustness of tongue detection algorithms on adult participants, but further research is needed to use these methods with children. In this study, a network architecture for tongue-out gesture recognition was implemented and evaluated on videos recorded in a naturalistic setting when children were playing a video-game. A cascade object detector algorithm was used to detect the participants' faces, and an automated classification scheme for tongue gesture detection was developed using a convolutional neural network (CNN). In evaluation experiments conducted, the network was trained using adults and children's images. The network classification accuracy was evaluated using leave-one-subject-out cross-validation. Preliminary classification results obtained from the analysis of videos of five typically developing children showed an accuracy of up to 99% in predicting tongue-out gestures. Moreover, we demonstrated that using only children data for training the classifier yielded better performance than adult's one supporting the need for pediatric tongue gesture datasets.
Documento de trabajo N°2 : relevamiento del interés de los estudiantes en encontrar a la Biblioteca de la Facultad de Derecho en las redes sociales.

The new collaborative tools allow to constantly update the resources and services provided. It achieves with the users a proactive participation based on trust, where they can, in addition to obtaining information, incorporate it into their daily network connection.This development does not lead us to ask, how do we respond as an academic library to the challenges of web 2.0, specifically to the presence of the Library in Social Networks?So you are asked about the reception that would have the incorporation of the Library in Web 2.0 through any of the social networks
Lembar Hasil Penilaian Sejawat Sebidang (Peer Review) HKI: Analisis Sentimen Opini Publik Berita Kebakaran Hutan melalui Komparasi Algoritma Support Vector Machine dan K-Nearest Neighbor Berbasis Particle Swarm Optimization

PARTICLE SWARM OPTIMIZATION, Data Mining, Support Vector Machine, K-Nearest Neighbor (K-NN), Sentiment analysis
Convictions in the Context of Personality Values Formation in Adolescents and Young People

The article covers the issue of continuous professional training of teachers, which is a complex, coherent process, aimed at ensuring the permanent adaptation of teachers to the dynamics of education processes and systems, promoting a proactive attitude, specific to a lifelong learning horizon. The research paper specifies the defining characteristics of the continuous professional training process, describes the principles and objectives of continuous teacher training, determines the content, methodology, forms of continuous teacher training, and elucidates the trends in continuous professional training of teachers.
Multi Instance Deep Learning Target Tracking

In order to solve the problem of low tracking accuracy caused by the lack of appearance model and motion model in multi instance tracking algorithm, this paper proposes a multi instance deep learning target tracking algorithm. In the original multi example tracking algorithm, the motion model only assumes that the motion of the object between frames will not exceed a certain range, which can not effectively reflect the motion state of the target. Particle filter algorithm is introduced to predict the target and improve the accuracy of tracking. The experimental results of different image sequences in complex environment show that the proposed algorithm has higher tracking accuracy and better robustness than other tracking algorithms.
Research on College English Writing Teaching in the Context of Big Data

Technology has shown a booming trend, and Internet technology has brought great convenience to human life and work. In the context of big data, every aspect of life is connected by several pieces of data. Affected by the background of big data, whether it is life, work or study has more or less changed. In the current educational system of colleges and universities, the subject of English is a crucial degree. Along with the entire English learning stage, English writing training plays a supporting role. For college English writing, it is also affected by big data. The article is oriented to the background of big data, and analyzes the teaching content of college English writing in detail.