Reviewerly/exHarmony huggingface dataset:
The Effect of Project-Based Learning (PBL) on Lessons Written in The Second Grade of SMPN 1 Parepare

Anita Anggreani, The Effect of Project Based Learning (PBL) in Teaching Writing to the Second Grade of SMPN 1 Parepare, (Supervised by Mujahidah and Wahyu Hidayat.)&#x0D; Project Based Learning (PBL) is a learning model in which students work individually to produce a particular product that originates from the problems that surround it. The goal of this study is to describe how students learn English in class VIII.2 of SMPN 1 Parepare using Project Based Learning (PBL) strategy, as well as to determine whether students’ writing ability in learning English increases as a result of the Project Based Learning (PBL) strategy.&#x0D; This research is a classroom action research that attempts to improve students’ writing abilities in English learning through a Project Based Learning strategy. The subjects were 32 students from SMPN 1 Parepare class VIII.2 during the academic year 2021/2022. The research was split into two cycle. The information for this research was acquired thorugh an interview, an observation checklist, a questionnaire, and a test.&#x0D; The study’s fidings revealed that students’ English skills improved as evidenced by: a) the percentage of students steadily improved their scores at the conclusion of each cycle. The English lesson’s Minimum Mastery Criterion-Kriteria Ketuntasan Minimal (KKM) Score was 78 (Seventy Five). The students average pre-test score was 58,9. In the first cycle, the average score was 76,6. In the second cycle, the average score was 86,3. b) The students’ responses to the increased interest in learning English through a Project Based Learning (PBL) strategy are generally positive. The data showed a score of 94,3%, which means “Excellent”. c) through an observation checklist, students’ participation in students activities indicating that students’ participation steadily increased form the first to the second cycle.&#x0D; Keywords: Project based learning, Writing ability, Descriptive text
Pengembangan Multimedia Google Earth Berbasis Virtual Mata Pelajaran Ski di Madrasah Tsanawiyah (MTs)

Multimedia Development of Virtual-Based Google Earth Learning in SKI Subjects in MTs, The development of virtual-based google earth learning multimedia is an effort to visualize places / locations in three dimensions because lectures are insufficient in expressing material orally and using media have not varied used by teachers so that students are unable to understand the material about SKI subjects. This has an impact on one of the factors that make SKI subjects difficult to understand. The research aims to develop multimedia learning SKI (History of Islamic Culture) in Madrasah Tsanawiyah Negeri 1 Solok by using an interactive multimedia format in showing the places where the dawah trip of Prophet Muhaamad saw. in Makkah and to find out the validity of virtual-based google earth learning multimedia. The research methods used are research and development (development research) the ADDIE model developed by Dick and Carry (1) needs analysis; (2) design of the developed product; (3) expert validation and revision; (4) field trials. Instruments for collecting data in this study are interviews, observations, validation sheets. The multimedia that has been developed is then tested for validity by experts using Aikens V. Research results show that the results of virtual-based google earth multimedia validation are categorized as very valid (0.915). Based on the validation results, this virtual-based google earth multimedia is valid for use in ski learning the dawah material of the Prophet Muhammad saw in Makkah.
Using EGRA Technique to Improve Students' Grammar Mastery

Grammar is study of rules that cover the combination of words to form meaningful and grammatically correct sentence. This study use Experience, Generalization, Reinforcement, and Application (EGRA) technique to improve students` grammar mastery. By using this technique the students try to find out the form and function of the sentence by themselves. Besides that, EGRA technique has various instructions to help students understand the material; giving picture, vocabularies and quiz in experience step, analyzing the text in generalization step, providing in reinforcement step, and giving a task in application step. This study was aimed to see the Improving Grammar Mastery at the tenth grade students of SMA Negeri 7 Pinrang. The objective of this study is to get the empirical data of the differences between students` score grammar test that were taught by using EGRA technique and the students were not. The population of this study consists of 273 students. The sampling process of this research is cluster random sampling technique. The researcher took two classes, X MIPA 2 as experimental class consisted of 36 students and X IPS 2 as control class consisted of 34 students. The design of this study is a quantitative method using quasi-experimental design (non-equivalent control group) with two group classess, namely experimental class and control class. The data was collected through pretest and posttest. It aimed to know whether the EGRA technique in teaching grammar can improve students` grammar mastery. The result of this research shows that students` grammar mastery significantly improves. Based on the calculation, the result of the data analysis by using t-test showed the value of ttest (to) was higher than ttable (tt), to &gt; tt = 9.11 &gt; 1.667, in significant degree of 0.05 (5%). As the statistical hypotheses shows, if ttest (to) &gt; ttable (tt) in significant degree of 0.05 (5%), it means that the alternative hypothesis (Ha) is accepted and the null hypothesis (Ho) is rejected. In conclusion, EGRA technique is able to improve the students` grammar mastery.
Using Macromedia Flash Application to Improve Students’ Vocabulary Mastery

This research aims to determine whether the use of the Macromedia flash application in the learning process can improve vocabulary mastery at the seventh grade of SMPN 4 Mattiro sompe Kab. Pinrang. Using media in teaching has the main aim, namely to make it easier for students to understand the material given, improve students’ understanding and mastery of vocabulary effectively and efficiently and can increase student interest in learning English. In this research, the researcher used pre-experimental design comprising pre-test and post-test, which is the different between pre-test and post-test scores is influenced by the treatment given to student. The success of the treatment is determined by comparing pre-test and post-test score. In the collecting data, the researcher used an instrument test that comprises pre-test and post-test. The result showed that Macromedia flash application can improve students’ vocabulary mastery. It showed by the students’ mean score of post-test (81.91) was greater than pre-test (59.82). Even, for the level significant (p) 0.05 and df: 22, and the value of t-table is 1.717 while the value of t-test is 14.43. It means that the value of t-test is greater than the value of t-table (14.43 ≥ 1.717). Thus, it can be concluded that the students’ vocabulary is significantly better after getting treatment by using Macromedia flash application. So, the null hypothesis (H0) was refused and the alternative hypothesis (H1) was accepted. The results of the questionnaire show that there are several problems faced by students in increasing their vocabulary, including students having difficulty understanding vocabulary without objects, memorizing vocabulary, making students difficult to understand vocabulary and students having difficulty understanding the pronunciation of words when learning English.
Classroom Discourse Analysis on Language Interaction at The First Level Class of STAR English Course Parepare

Language is taking a place as the main connector among the teacher and students in the teaching-learning process. The study of language that is related to teacher’s language interaction in classroom teaching is called classroom discourse analysis. Study on classroom discourse structure firstly introduced by Sinclair and Coulthard by developing a model of discourse involving five levels in hierarchical order - from the lowest to the highest acts, move, exchange, transaction and interaction unit where the higher unit contains the lower ones.This research aimed to know what kind of the act structure that the students and teacher used in the Classroom based on Sinclair and Coulthard Rank Scale, also needed to be known which one of them dominantly used in interaction. The result of the research found that there were several types of Act Structure used in the Classroom interaction such as Marker, Starter, Elicitation, Check, Directive, Informative, Prompt, Clue, Cue, Bid, Nomination, Acknowledge, Reply, React, Accept, Evaluate, Silent Stress, Meta statement, and Conclusion. The total numbers of Act Structure in the observation which have been done are 652 acts. Then, the type of Act Structure dominantly used is Elicitation (/el/) which around 14,7 % dominated the classroom interaction.
The Use of Genre-Based Approach (GBA) in Teaching Reading Comprehension in Terms of Skimming

Some Indonesian students are found that they have low reading skills. This difficulty causes them in boredom and less motivation to learn English. This research aimed to know the use of genre-based approach (GBA) in teaching reading in terms of skimming at the eighth grade students of SMP Negeri 1 Sibulue. The researcher applied classroom action research. It had two cycles that consisted of planning, action, observation, and reflection phase. The researcher found that GBA is a good approach to increase the students’ reading comprehension. Students’ activeness in teaching and learning process improved significantly through the use of GBA. The researcher concluded that GBA was able and significant in increasing the students’ reading comprehension.&#x0D; Keywords: Genre-Based Approach (GBA), students’ reading comprehension&#x0D;
INTEGRATING OF LOCAL CULTURE-BASED INSTRUCTION IN TEACHING SPEAKING CLASSROOM AT THE THIRD SEMESTER STUDENTS OF UNIVERSITAS TOMAKAKA MAMUJU

This study aims to explore an integration of local culture in teaching speaking for enabling students to speak English practiced in EFL classroom. It employs a descriptive study using a purposive sampling technique and taking 76 respondents from EFL university students. The questionnaire and interview were used to collect data on the perception of EFL university students on the integration of local culture in the process of learning, and observation was applied to gain the data on the EFL students’ interaction on integrating local culture-based instruction. The result of the study shows that students' speaking on the integration of local culture-based instruction in teaching speaking classroom in Indonesian EFL classroom fall into 3 categories:(1) highly understanding of local culture (HULC); (2) moderately understanding of local culture (MULC); (3) low understanding of local culture (LULC). This research is expected to be a reference for teachers’ professional development especially teachers’ capacity in teaching speaking classes.
Probabilistic Neural Network: Frequency and Moment Learnings

We introduce probabilistic neural networks that describe unsupervised synchronous learning on an atomic Hardy space and space of bounded real analytic functions, respectively. For a stationary ergodic vector process, we prove that the probabilistic neural network yields a unique collection of neurons in global optimization without initialization and back-propagation. During learning, we show that all neurons communicate with each other, in the sense of linear combinations, until the learning is finished. Also, we give convergence results for the stability of neurons, estimation methods, and topological statistics to appreciate unsupervised estimation of a probabilistic neural network. As application, we attach numerical experiments on samples drawn by a standing wave.
Noise Contrastive Variational Autoencoders

We take steps towards understanding the "posterior collapse (PC)" difficulty in variational autoencoders (VAEs),~i.e. a degenerate optimum in which the latent codes become independent of their corresponding inputs. We rely on calculus of variations and theoretically explore a few popular VAE models, showing that PC always occurs for non-parametric encoders and decoders. Inspired by the popular noise contrastive estimation algorithm, we propose NC-VAE where the encoder discriminates between the latent codes of real data and of some artificially generated noise, in addition to encouraging good data reconstruction abilities. Theoretically, we prove that our model cannot reach PC and provide novel lower bounds. Our method is straightforward to implement and has the same run-time as vanilla VAE. Empirically, we showcase its benefits on popular image and text datasets.
Analisis Penggunaan Big Book Terhadap Literasi Membaca Peserta Didik Berkecerdasan Visual di Madrasah Ibtidaiyah Nahdlatul Ulama Waru 1 Sidoarjo

This study aims to find out if there are differences in the use of big books on reading literacy between visually educated students and non-visual students at MINU Waru 1. This study uses a quantitative approach with a type of comparison. The study population was 84 students in grade 1, with a sample of 64 students divided into grades 1A, 1B, and 1C. Through observation, students are classified their intelligence levels and with tests to measure reading literacy levels. The results were analyzed using independent sample t-test that was previously done prerequisite test, namely normality test and homogeneity test, using SPSS application version 22. Independent sample t-test results showed a significance value of &lt; 0.05 is (0.000 &lt; 0.05) for the pretest, and a significance value of &lt; 0.05 is (0.008 &lt; 0.05) for posttest. From these results, Ho was rejected and Ha received which means there is a difference in the use of big book media to read literacy between grade I students who have visual intelligence and non-visual students at MINU Waru 1 Sidoarjo
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies

We describe a method for developing broad-coverage semantic dependency parsers for languages for which no semantically annotated resource is available. We leverage a multitask learning framework coupled with an annotation projection method. We transfer supervised semantic dependency parse annotations from a rich-resource language to a low-resource language through parallel data, and train a semantic parser on projected data. We make use of supervised syntactic parsing as an auxiliary task in a multitask learning framework, and show that with different multitask learning settings, we consistently improve over the single-task baseline. In the setting in which English is the source, and Czech is the target language, our best multitask model improves the labeled F1 score over the single-task baseline by 1.8 in the in-domain SemEval data (Oepen et al., 2015), as well as 2.5 in the out-of-domain test set. Moreover, we observe that syntactic and semantic dependency direction match is an important factor in improving the results.
The iSpring learning media integrated with the KWL learning model: Impact on Students' self-directed learning in momentum and impulse

In this pandemic era, learning style transformation required students to change their learning style to self-directed learning. However, a lack of student initiation led to sub-optimality of education, particularly for some materials such as momentum and impulse, which are classified as complex concepts in physics. This study aimed to examine the impact of iSpring learning media in conjunction with the Know-Want-Learn (KWL) learning model on students' self-directed learning. The data analysis used in this study was an independent t-test to analyze the difference in self-directed learning between students in the control and experiment groups. Furthermore, this study was intended to investigate students' self-directed learning during the implementation of iSpring learning media integrated with the KWL learning model. This study included 31 students divided into the control group and the experiment group, which was chosen using purposive sampling. The difference in students' learning independence between the control and experiment groups was examined using a post-test-only research design. Students in the experimental group demonstrated greater learning independence than students in the control group, which did not use the iSpring integrated with the KWL learning model. This result also implies that after implementing iSpring as the learning media integrated with KWL as the learning model, students' self-directed learning differed in the experiment and control groups.
Overprotective Training Environments Fall Short at Testing Time: Let Models Contribute to Their Own Training

Despite important progress, conversational systems often generate dialogues that sound unnatural to humans. We conjecture that the reason lies in their different training and testing conditions: agents are trained in a controlled "lab" setting but tested in the "wild". During training, they learn to generate an utterance given the human dialogue history. On the other hand, during testing, they must interact with each other, and hence deal with noisy data. We propose to fill this gap by training the model with mixed batches containing both samples of human and machine-generated dialogues. We assess the validity of the proposed method on GuessWhat?!, a visual referential game.
PENDAMPINGAN PEMBELAJARAN PIDATO DENGAN METODE PRACTICE REHEARSAL PAIRS PADA SISWA MADRASAH IBTIDAIYAH

Speech is one of the skills that must be practiced by students in elementary school. Speech is one of the first steps to practice oral communication skills. The fact that occurs in the classroom that students feel less able to do this activity. In addition, students feel that their level of self-convidence is very low. In this regard, the researchers provided assistance to students to practice speech activities using the practice rehearsal pairs method. This activity was carried out at MI Mafatihul Huda. The method of implementation includes preparation, implementation of activities, evaluation, and preparation of final report. As for the result of the activites, the students confidence in giving speeches in pairs. In addition, speech practice is able to hone students speaking skills and increase students interest in learning because they study in pairs with their friends.
Research on the Connotative Development of Higher Vocational Education under the New Development Pattern

With the development and progress of the concept of the times, the educational environment of our country pays more and more attention to vocational education. The concept of connotative development has quietly become a new topic that higher vocational education is about to face. It is of great significance for the future of higher vocational education to carry out in-depth research on this topic in combination with the current new development pattern. Therefore, this paper starts with defining the concept of connotative development, and rationally analyzes the current situation of vocational education, so as to seek the key points and corresponding problems of the development of vocational education. Combined with the new development pattern, this paper aims to explore the path of connotative development of higher vocational education, with a view to promoting the further improvement of the quality of higher vocational education.
Analysis of Chinese Text Automatic Proofreading Technology

The development of computer technology promotes the research on automatic text proofreading technology. The research of Chinese text automatic proofreading started late but developed rapidly. This paper analyzes the difficulties of Chinese text proofreading and reviews the research methods of Chinese text automatic proofreading technology, including statistical-based approach, rule-based approach, deep learning-based approach and hybrid approach. Although some new progress has been made in Chinese text automatic proofreading in recent years, there are many problems remain to be settled due to the complexity of Chinese and the scale of the universal data set of Chinese proofreading corpus.
ICDAR 2021 Competition on Scientific Literature Parsing

Scientific literature contain important information related to cutting-edge innovations in diverse domains. Advances in natural language processing have been driving the fast development in automated information extraction from scientific literature. However, scientific literature is often available in unstructured PDF format. While PDF is great for preserving basic visual elements, such as characters, lines, shapes, etc., on a canvas for presentation to humans, automatic processing of the PDF format by machines presents many challenges. With over 2.5 trillion PDF documents in existence, these issues are prevalent in many other important application domains as well. Our ICDAR 2021 Scientific Literature Parsing Competition (ICDAR2021-SLP) aims to drive the advances specifically in document understanding. ICDAR2021-SLP leverages the PubLayNet and PubTabNet datasets, which provide hundreds of thousands of training and evaluation examples. In Task A, Document Layout Recognition, submissions with the highest performance combine object detection and specialised solutions for the different categories. In Task B, Table Recognition, top submissions rely on methods to identify table components and post-processing methods to generate the table structure and content. Results from both tasks show an impressive performance and opens the possibility for high performance practical applications.
Preface

The International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication and Computational Intelligence (RAEEUCCI 2022) was held in blended mode during April 22-24, 2022. The conference aimed to bring researchers, practicing engineers, faculty members and students from across the globe to a common platform to share their research ideas that would help to attain solution to various real time problems related to electrical, electronics, communication, computational intelligence and its related areas. To meet the aim of the conference the theme of the conference was divided into 6 tracks namely, Microwave and Optical Devices and Communications, Signal and Image Processing, Electronic Devices VLSI and Embedded Systems, Electrical Engineering, Computational Intelligence, Multidisciplinary Engineering and Technology. Call for papers were sent across the country as well as to various Universities and research groups across the group. We received a good response. To provide a quality review, each track was overseen by senior professors who are having expertise in the track domains. Dr. T. Rama Rao, Dr. S. Malarvizhi, Dr. P. Aruna Priya, Dr. J. Preetha Roselyn, Dr. B. Ramachandran, and Dr. R. Kumar are assigned as editor of above-mentioned tracks receptively. We got the assistance of 2 professors in the editorial process, Dr. Claudionor Bezerra, from Brazil, Dr. Cheng-Yang Liu, from Taiwan as our chief editor and assistant editor. Dr. Shanthi Prince, Dr. Chittaranjan Nayak, and Dr. Damodar Panigrahy served as managing editor. List of PATRONS, ADVISORY COMMITTEE, CONVENOR, JOINT CONVENOR, COORDINATORS, TECHNICAL COMMITTEE, ORGANIZING COMMITTEE are available in this Pdf.