Reviewerly/exHarmony huggingface dataset:
Tingkat Pemahaman Siswa dalam Pembelajaran Daring dan Tatap Muka Langsung dalam Masa Pandemi Covid-19 Terhadap Bimbingan TIK Menggunakan Metode Backpropagation

The Covid-19 pandemic has a major impact on the world of education. Government policies to implement Distance Learning (PJJ) have an impact on learning in schools. Increasing ICT competence is needed to support the smooth running of PJJ. One of them is through ICT guidance activities during the Covid-19 Pandemic. SMP Negeri 1 Lengayang carried out online and face-to-face ICT guidance activities during the Covid-19 Pandemic. However, student learning outcomes in online and face-to-face learning have not shown maximum results. Various obstacles arise that affect student learning outcomes. Teachers have difficulty measuring the level of students' understanding of ICT guidance. Predicting the level of understanding of students is important as a measure of learning success during the Covid-19 Pandemic. This study aims to predict the level of understanding of students in online and face-to-face learning during the Covid-19 period, so that it can also help schools to take the right policies to improve the quality of learning for the future. This study uses the Backpropagation method of Artificial Neural Network (ANN). ANN is a part of artificial intelligence that can be used to predict. The data that is managed is a recap of the value of student cognitive learning outcomes during ICT guidance in online and face-to-face learning during the Covid-19 Pandemic. The results of calculations using the Backpropagation method with the Matlab application produce a percentage value for the level of student understanding, so that the accuracy value in prediction is obtained. With the results of testing the predictive accuracy of the level of understanding online and face-to-face with the 3-10-1 pattern, the best accuracy value is 95%. The prediction results can measure the level of students' understanding of learning during the Covid 19 Pandemic towards ICT guidance.
The English Department students’ of writing habits in English through social media / Hana Ciptaning Sari

SUMMARYSari, Hana Ciptaning. 2018. English Department Students’ of Writing Habits in English through Social Media. Sarjana’s Thesis, Department of English, Faculty of Letters, Universitas Negeri Malang, Advisors: (I) Prof. Bambang Yudi Cahyono, M.Pd., M.A., Ph.D (II) Nur Hayati, S. Pd, M. EdKeywords: Writing, Habits, Social MediaWriting is often considered the most complex language skill. The teaching of writing is therefore not easy and students’ need to have a lot of practice and intensity learning activities. The advancement of technology and social media nowadays offers the potential to involve the activity that can guide students to write on social media as a means of writing practice. This study seeks to investigate kinds of writing text that they write on social media the intensity of students’ writing in English on social media, factors that can influence students’ writing habit and writing on social media’s effect on students’ English. This study expected to be beneficial to give some insights into how social media is used for the students’ writing practice and how it might also be integrated in the teaching and learning of writing.This study used survey method. The study was conducted at English Department of Universitas Negeri Malang. The subjects of this study were 50 second-year students in the English Department. The data for the study were collected by using questionnaire. I came into two classes and spread out the questionnaire.The result of the English department students’ writing habits in English through social media, based on questionnaire shows that, the students really like to describe something on social media, such as using English as a caption to describe the photos or videos. Students spend almost every day in a week to write using English in social media. They also spend their time 5-10 times in a day just to update their status using English in social media. Moreover, some of students stated that writing using English through social media is more flexible than printed media and other factors that can influence their writing is their mood.It can be concluded that the students like to write using English on social media almost every day and it is depends on students’ mood and situation. Also, writing social media can increase vocabulary by giving comments or write a caption on social media. It is recommended that English teachers motivate the students to write using social media so that they can engage students’ willingness in writing and also practice writing in English using social media. Also, social media can be an alternative to make the students fond of writing. The teachers also can make some writing exercises through social media by forming a group on social media that consists of teacher and students such as Facebook or Twitter. For future researchers, writing in English through social media is not only for writing skill but also for other skills like speaking or reading.
Extensive Review on Product Recommendation Techniques

As everyone is eye witnessing the enormous growth rate in huge amounts of data in our day-to-day life. And due to this much increase in data and networking, there also comes the gateway of E-world into the frame. E-world is there in association of Internet technology wherein everything is digitized and accessible on tips. Online marketing has grown the use of net banking and scenario is folding toward Internet services. This abundance of data and information puts additional number to the buyer in executing tasks online. The product recommendation tools and techniques are in use today to deduce the extra amount of burden from the user and also recommend and present them with the specific product they are searching for. Product recommendation from a user perspective has two major uses which are to buy the exact commodity they want or they can have look over other similar products that they may like and buy. This thing also increases the sales and marketing of other products as well. The most popular techniques for this product recommendation is collaborative filtering, use of if-then statement (i.e., association rule), and process of using data mining algorithms to extract information directly from the Web (i.e., WebMining).
Planting Self-Confident Characters Assisted by Technology and Science Through Reading Activities

Abstract The purpose of this research is describing the implementation of reading activity in SD 2 Garung Kidul, the cultivation of self-confidence character through reading activity, the obstacles factors in the cultivation of self-confidence through reading activity, giving the solution in order to solve the problem in the cultivating of self-confidence character through reading activity. The technic of data collecting is using interview, observation, and document research. For data validity is using the data credibility tested which is involving extension and triangulations. For the analysis is using interactive analysis in order to explain the data which is obtained by interview, observation, and document research. The result of the research showed that: 1. The implementation of routine reading in every single day for fifteen minutes before started the learning activity. 2. The cultivation of self-confidence through reading activity in fifteen minutes can be seen in the student’s understanding about the story of the book is being successfully. 3. The obstacles which faced in this research are being on time, variety of books, reading fluency. 4. The solution of facing the obstacles are giving the reading book which is having similarity in student’s handout, utilizing the library, and choosing the right book.
A Study on Application of Markov Random Fields in Image Restoration and its Efficiency

Image restoration has been a popular and active field of research for decades. Images are destroyed when exposed to ‘noise’ which can occur due to physical contact or electrical/electronic interference. Here, Bayesian statistical techniques and Markov random field (MRF) theory were used to restore a black and white binary image corrupted by additive Gaussian noise with zero mean and constant variance. The binary image was used as a Markov random ﬁeld. An image is comprised of pixels and these pixels have a regular two-dimensional lattice structure. A matrix including ±1 values was generated randomly. It was represented and interpreted as an Ising model in Statistical Mechanics. The probability distribution of the Ising model was used as the prior distribution (a Gibbs or Boltzmann distribution). Likelihood function was obtained by using the random matrix and the observed corrupted image. Markov Chain Monte Carlo (MCMC) method was used to simulate posterior distribution which again turns out to be a Gibbs or Boltzmann distribution. More specifically, Metropolis-Hastings algorithm which is one of the popular MCMC algorithms was used in this simulation. In this study, Peak Signal to Noise Ratio (PSNR) and Mean Squared Error (MSE) methods were used to measure the quality of restored images. MATLAB (R2013a (8.1.0.604)) was used to construct the program in this research work. Finally, high quality images were restored which were almost similar to the original image. A decrease in restored image quality was observed with the increase in noise. When the image size was increased, a higher number of iterations was required to obtain an acceptable level of quality in the restored image.
All guides: Using Videos in Canvas: Library videos and your course

This guide provides instructions on linking and embedding Library videos, including playlists and clips, in your Canvas course and Reading List.
Peer Review Jurnal Nasional Terakreditasi Sinta 3 Exploring EFL Students

Listening is central for language learning and for daily communication. However, in foreign language learning, students still encountered problems in understanding listening materials. This present study is aimed to reveal the students’ problems in listening English news broadcasts. The subject of this study were two classrooms at the Department of English Language Education at an acknowledge university in Banda Aceh. The samples were made of 50 students in their third semester. This study employed a quantitative analysis approach. A close-ended questionnaire was used as the instruments in collecting the data. The findings showed that the difficulties faced by the students in listening to English news broadcast were mainly caused by unfamiliar topics, unfamiliar vocabulary, different accents, fast speech rate, unintelligible pronunciation, difficulty in inference making, excessively long passages, complicated grammatical structure, as well as complex ideas.
DISTANCE LEARNING IN DGTU IN THE CONDITIONS OF PREVENTION OF SPREAD OF NEW CORONAVIRUS INFECTION

The structure of distance learning which was applied in the conditions of prevention of spread of new coronavirus infection to DGTU at "Theoretical and Applied Mechanics" department is shown in this article. References to the existing websites of distance learning are given.
Analisis Faktor Resiko Penderita Diabetes Mellitus (DM) Tipe II dengan Menggunakan Regresi Spline

dalam darah (hiperglikemia) ini menjadi racun bagi tubuh.Klasifikasi atau jenis DM ada bermacam-macam, tetapi di Indonesia yang paling banyak ditemukan adalah DM tipe II.Analisis faktor resiko DM tipe II dengan regresi spline mampu mengestimasi data yang tidak memiliki pola tertentu.Hasil permodelan diperoleh kesimpulan bahwa model terbaik dapat dijelaskan melalui model regresi linier kombinasi knot terbobot.Model ini menghasilkan nilai GCV sebesar GCV 24514,2137 dan koefisien determinasi 24,96 %.Dari hasil diatas nampak bahwa variabel yang berpengaruh tehadap gula darah sewaktu adalah hemoglobin, leukosit, tekanan sistol, dan tekanan distol.Diabetes Mellitus (DM) is a metabolic disorder of sugar distribution by the body.DM sufferers cannot produce sufficient amounts of insulin, or the body is unable to use insulin effectively, resulting in excess sugar in the blood.Chronic excess sugar in the blood (hyperglycemia) is toxic to the body.There are various classifications or types of DM, but in Indonesia the most common type is type II diabetes.Risk factor analysis for type II diabetes mellitus with spline regression is able to estimate data that does not have a specific pattern.The modeling results concluded that the best model can be explained through a linear regression model with the weighted knots combination.This model produces a GCV value of GCV 24514.2137and a determination coefficient of 24.96%.From the results above, it appears that the variables that affect blood sugar at any time are hemoglobin, leukocytes, systolic pressure, and distole pressure.
Improving Classification Model Performances using an Active Learning Method to Detect Hate Speech in Twitter

Efforts from the police to address hate speech on social media such as Twitter will not be sufficient to rely solely on manual checks. Therefore, it is necessary to use statistical modelling like the classification model to detect hate speech automatically. Classification is a type of predictive modelling to produce accurate predictions based on labelled data. Generally, the available data are usually unlabelled implying that the labelling process needs to be done beforehand. Data labelling is time consuming, high cost, and often fails to produce correct labels. This research aims to improve the performances of classification models by adding a small amount of data through the so called active learning method. The results showed that there was no significant difference in the performances of logistic regression and naïve bayes classification models in detecting hate speech. However, the results also showed that adding data through the active learning method substantially improved the logistics regression performance in detecting hate speech when compared to data addition based on a simple random sampling method. Therefore, the performances of classification models in detecting hate speech on Twitter could be improved by using an active learning method.
Task-Oriented Dialog Systems for Dravidian Languages

Task-oriented dialog systems help a user achieve a particular goal by parsing user requests to execute a particular action. These systems typically require copious amounts of training data to effectively understand the user intent and its corresponding slots. Acquiring large training corpora requires significant manual effort in annotation, rendering its construction infeasible for low-resource languages. In this paper, we present a two-step approach for automatically constructing task-oriented dialogue data in such languages by making use of annotated data from high resource languages. First, we use a machine translation (MT) system to translate the utterance and slot information to the target language. Second, we use token prefix matching and mBERT based semantic matching to align the slot tokens to the corresponding tokens in the utterance. We hand-curate a new test dataset in two low-resource Dravidian languages and show the significance and impact of our training dataset construction using a state-of-the-art mBERT model - achieving a Slot F1 of 81.51 (Kannada) and 78.82 (Tamil) on our test sets.
Guides: Teaching with E-resources: Database Accessibility

This guide is meant to help faculty with using electronic library resources and integrating them into their course shells (in Blackboard). It covers how to find persistent links, proxy links, and copyright information related teaching.
Comparison of sensitivity to erosion and resistance of Asmari, and Mishan limestone, Aghajari sandstone and Gachsaran Anhydrite using Selby method

Rock behavior varies with different erosions, which depends on the inherent and environmental characteristics of the rock. In other words, some petrological units are susceptible to erosion and have sediment production potential. This study is conducted to investigate the sensitivity to erosion and resistance of rock formations of Fars group (Mishan limestone, Aghajari sandstone and Gachsaran Anhydrite) and Asmari formation using Selby method in Behbahan, Gachsaran, Deylam and Dehdasht areas. Results of analysis of ANOVA variance based on the comparison of 81 samples from 4 types of rocks showed that there was a significant difference between the rocks (p= 0.05).In general, the Asmari limestone with scoring mean of 66.72-70.99 is the most rock resistant based on theSelby method. Mishan, Aghajari limestone, Gachsaran Anhydrite will be in the next ranks, respectively.
LibGuides: Research & Writing Skills: APA 7th Edition

A guide designed to help you with research! This includes finding a topic, researching your topic, evaluating information, using APA, writing skills, and all kind of helpful things! Resources focused on getting students familiar with APA 7th edition.
Issues Facing Citizens In Iraq Towards Adoption Of E-Government

Developing countries have established promising e-Government initiatives with the objectives of enhancing the accessibility of government services and information for their citizens. Purpose: This research attempts to explore and investigate the key challenges and Issues that facing e government adoption and the factors influencing citizen in Iraq. Methodology: The research depended on qualitative approach, the participants comprised undergraduate and postgraduate students at Baghdad university because university students are amongst the adult population for whom the Internet has become part of their daily routine. population of 369, Potential participants for the focus groups were identified from the questionnaire survey. Finding: The findings show that Trust and Awareness significant and direct relationship with adoption of e-government in Iraq. Corruption was found to have significant and negative relationship with the adoption of e- government.
LibGuides: Library Events: Money Smart Week

Want to know what is going on at the Library? Check out all of our past and upcoming events here!
Pengembangan Media Pembelajaran Interaktif Mata Pelajaran Bahasa Jawa Untuk Pengenalan Nama Anak Binatang Kelas 2 di SD N Plumbungan 4

This study aims to select choose suitable learning media as an effort to overcome the problems faced so that the process of transferring material transfer process can run optimally, developing the feasibility of interactive media on Javanese subjects subject the name of the animal for elementary school and find out the results of comparison of learning methods with interactive learning media. The method used inthis research is Research and Development (R&D) or commonly called research and development methods. The development model used is the 4D model (Define, Design , Develop, Desseminate). The software used is Construct 2. The subects in this study were students in grade 2 Of SD Negeri Plumbungan 4 with the material Name of the Animal. This mesdia is tested to determine the feasibility of validatingthe media expert, material expert, and student quesrionnaire assessment results. The results of the assesessment of the media experts get a percentage of eligibility with an average value of 80 whitch is classified as very feasible, validation of the material experts get an average value of 87.50 which is included in the very feasible category,and the assessment results form the student questionnaire get an average value of 77,13 with a decent category.
LibGuides: Diversity, Equity, and Inclusion in STEM: Media

A guide to resources related to underrepresented groups in science, technology, engineering and mathematics.
Investigating the use of multiple languages for crisp and fuzzy speaker identification

The use of speech for system identification is an important and relevant topic. There are several ways of doing it, but most are dependent on the language the user speaks. However, if the idea is to create an all-inclusive and reliable system that uses speech as its input, we must take into account that people can and will speak different languages and have different accents. Thus, this research evaluates speaker identification systems on a multilingual setup. Our experiments are performed using three widely spoken languages which are Portuguese, English, and Chinese. Initial tests indicated the systems have certain robustness on multiple languages. Results with more languages decreases our accuracy, but our investigation suggests these impacts are related to the number of classes.
LibGuides: Guided Pathways: School of Humanities, Education, Social and Behavioral Sciences

This guide will outline the ways in which the library can support Guided Pathways efforts at Moreno Valley College.
Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning

Word embedding learning methods require a large number of occurrences of a word to accurately learn its embedding. However, out-of-vocabulary (OOV) words which do not appear in the training corpus emerge frequently in the smaller downstream data. Recent work formulated OOV embedding learning as a few-shot regression problem and demonstrated that meta-learning can improve results obtained. However, the algorithm used, model-agnostic meta-learning (MAML) is known to be unstable and perform worse when a large number of gradient steps are used for parameter updates. In this work, we propose the use of Leap, a meta-learning algorithm which leverages the entire trajectory of the learning process instead of just the beginning and the end points, and thus ameliorates these two issues. In our experiments on a benchmark OOV embedding learning dataset and in an extrinsic evaluation, Leap performs comparably or better than MAML. We go on to examine which contexts are most beneficial to learn an OOV embedding from, and propose that the choice of contexts may matter more than the meta-learning employed.
LibGuides: Audio Visual Support: Home

See what the Innovation Commons has available to borrow to support digital learning and teaching.
LibGuides: Remote Learning Resources: Student Resources

Online learning resources for students and teachers. Online learning resources for students
LibGuides: Electronic materials temporarily available during COVID-19: Science & Engineering

Access to resources made available to researchers during the COVID-19 pandemic. Please see individual resources for specific time periods covered, if specified.
Aulas virtuales, teléfono inteligente y Whatsapp, herramientas tecnológicas para el desarrollo de la habilidad oral en la enseñanza del inglés como L.E.

espanolEn los ultimos anos, el uso de diversos dispositivos moviles ha impactado la vida personal y profesional de muchas personas. La tecnologia ha transformado nuestra forma de comunicarnos, de socializar, de comprar, de jugar, de hacer negocios, de ensenar y de aprender. En el ambito educativo y como respuesta a la exigencia de los estudiantes en materia de experiencias de aprendizaje innovadoras y a la abundancia de herramientas tecnologicas moviles, se ha venido desarrollando un nuevo enfoque: el aprendizaje movil “Mobile-Learning” o “M-Learning”. El objetivo de este trabajo es describir algunas experiencias y reflexiones sobre el uso de 3 herramientas tecnologicas (aulas virtuales, Smart phones y whatsapp) dentro de este enfoque. EnglishIn recent years, the use of various mobile devices has impacted the personal and professional lives of many people. Technology has transformed the way we communicate, socialize, shop, play, do business, teach and learn. In the educational field and in response to the demands of students in terms of innovative learning experiences and the abundance of mobile technological tools, a new approach has been developed: mobile learning Mobile-Learning or M-Learning . The objective of this work is to describe some experiences and reflections on the use of 3 technological tools (virtual classrooms, Smart phones and whatsapp) within this approach.