Reviewerly/exHarmony huggingface dataset:
THE STRENGTHS AND DRAWBACKS OF LYRICSTRAINING IMPLEMENTATION IN BASIC LISTENING COURSE

Development in ICT has resulted in innovations in terms of new applications and software to use in education, one of them is in the English language teaching. This study aims to find out the strengths and drawbacks of LyricsTraining implementation as one example of the web-based CALL in the Basic Listening course, one of the obligatory courses in the English Language Education Study Program of Sanata Dharma University. LyricsTraining is a website that integrates audio and video taken from YouTube with the song lyrics. It allows the students to play the music video and requires them to type in the missing lyrics or choose from the options provided. Survey was used as the method of this study, involving 30 first semester students from one class of Basic Listening course as the participants. Questionnaire with close and open-ended questions was used to gather the data. The results of this study describe the strengths as well as the drawbacks of the implementation of LyricsTraining in the Basic Listening course experienced by the students.
BERT got a Date: Introducing Transformers to Temporal Tagging

Temporal expressions in text play a significant role in language understanding and correctly identifying them is fundamental to various retrieval and natural language processing systems. Previous works have slowly shifted from rule-based to neural architectures, capable of tagging expressions with higher accuracy. However, neural models can not yet distinguish between different expression types at the same level as their rule-based counterparts. In this work, we aim to identify the most suitable transformer architecture for joint temporal tagging and type classification, as well as, investigating the effect of semi-supervised training on the performance of these systems. Based on our study of token classification variants and encoder-decoder architectures, we present a transformer encoder-decoder model using the RoBERTa language model as our best performing system. By supplementing training resources with weakly labeled data from rule-based systems, our model surpasses previous works in temporal tagging and type classification, especially on rare classes. Our code and pre-trained experiments are available at: https://github.com/satya77/Transformer_Temporal_Tagger
The Application of Cooperative Principle in EFL Classroom Interaction

In classroom interaction, we sometimes find misunderstanding between teacher and student or among the students. Grice said that cooperative principles can lead the speakers and hearers to uncooperative conversation and misunderstanding about the message delivered (Grice: 1989). Based on that theory, an investigation about observance and non-observance of the maxim should be done to understand how they apply the cooperative principles in classroom interaction. The objective of the studies are: (1) to analyze EFL classroom interaction in order to explain the way cooperative principles are applied, (2) to analyze EFL classroom interaction in order to explain the way participants violate the maxim (3) to analyze the most frequent violation in non-observance of the maxim. In this study, I use descriptive qualitative method. The data of this study was the transcription of EFL classroom interaction between teacher and students. The interaction was natural interaction without any intervention from me. The findings of this research showed that teachers and students not only observed the maxim but also violate the maxim in the EFL classroom interaction.
PENGARUH KUALITAS INFORMASI, KUALITAS SISTEM DAN KUALITAS PELAYANAN TERHADAP KEPUASAN MAHASISWA

This study aims to determine and analyze the effect of information quality, system quality and service quality on student satisfaction at the Faculty of Economics and Islamic Business, Muhammadiyah University, Kendari.The population in this study were FEBI UMK students totaling 510 people consisting of 2016 batch totaling 237 people and 2017 batch totaling 273 students. With 120 respondents. Hypothesis testing is done using SEM (Structural Equation Modeling) or Structural Equation Model with AMOS 4 program. The results showed that: Information quality has a significant effect on student satisfaction. The quality of the system has a negative and significant effect on student satisfaction. And Service Quality has a positive and significant effect on student satisfaction
Exploring Verbal Interaction of Non Language Subject Classroom

Given the important role of verbal interaction in teaching and learning process and shaping students’ attitude have been the subject of interest of several researchers. The aim of the study was to explore the pattern of verbal Interaction of non language subject at one of the fledgling international standard schools (FISS) in Padang. The site of the study is SMA 1 Padang. Participants of the research were 2 Physics teachers along with their students. Data of this study were drawn from direct classroom observation, and intensive interview; and these data were analyzed quantitatively and qualitatively. The result of study reveals that the highest occurrences of teacher-students interactions patterns are Explanation (E), Asking Question (AQ), and the category of Accept and Used of idea of Pupils (AUIP). Meanwhile, students-teacher interaction consisted of three categories, namely Classical Response (CR), Individual Response (IR), and student initiation (SI). Classical response was found to be the highest occurrence. It indicated that the teacher was still dominated the classroom interaction that needs to be shifted to students-oriented.
Quantitative Evaluation and Path Optimization of College Students’ Employment Policy Based on Text Mining

Based on the text mining method, the high-frequency word extraction of 20 policies to promote the employment of college students from 2015 to 2020 was carried out, and the key areas of concern of the policy texts were obtained, and the relationship between the policy priorities was visually displayed in the form of visual Knowledge Graph. On this basis, a PMC index model composed of 9 first-level indicators and 31 second-level indicators is constructed to quantitatively evaluate the employment policy of college students and select a representative policy P3 to draw the PMC surface map to trace the advantages and disadvantages of the secondary indicators of the policy and explore the path of policy optimization. The results show that the evaluation results of 19 of the 20 policies are acceptable or excellent, accounting for 95%, indicating that most of the current policies can effectively promote the employment of college students. However, representative policies can be optimized and upgraded according to two different ideas: “policy tendency-policy field-target-policy focus” and “policy tendency-policy field-policy effectiveness-policy focus-target-policy nature.”
Performance Analysis of Hybrid Machine Learning Methods on Imbalanced Data (Rainfall Classification)

This study proposes several methods to analyze the performance of the hybrid machine learning method using Voting and Stacking on rainfall classification. The two hybrid methods will combine five classification methods, namely Logistic Regression, Support Vector Machine, Random Forest, Artificial Neural Network, and eXtreme Gradient Boosting. The data used is Bandung City rainfall data for the years 2005 until 2021. The hybrid method is classified as an ensemble, which means combining several individual classification models to improve the performance of the built model. Voting algorithm has weaknesses in imbalanced data, while stacking does not. The results show that by combining five machine learning methods on an imbalanced dataset, the Stacking algorithm obtains an accuracy value of 99.60%. Meanwhile, with the addition of the SMOTE technique, the accuracy increases to 99.71%. This is supported by the performance of the Stacking method which is superior because it takes the best classification value for each individual model and can overcome the imbalance. Model evaluation does not only focus on accuracy, but also precision, recall, and f1-score. The contribution of this research is to provide information about the best Hybrid method between Voting and Stacking in obtaining model performance results on rainfall classification.
Grammatical Speech on the Verb by Pupils Aged 8 to 10 Years Old

In this contribution we develop a reflection on the verb that started more than 10 years ago. The verb is indeed a major pedagogical target at school to the point that it often has a specific “conjugation” section. In this paper, we focus on the teaching and learning of the verb at school. Using data provided by the REAlang research, we confront the performances of pupils from 8 to 10 years old to the reported knowledge to explain the verb, in order to perceive the curricular progression in relation to the institutional prescriptions. Our aim is above all to understand pupils, to grasp the pedagogical practices in order to rethink more relevant didactic strategies to improve the learning of the verb at school.
DESIGN FEATURES OF VIRTUAL LEARNING ENVIRONMENTS

The article deals with the influence of virtual informational educational environment on didactics of basic education, the functions of virtual informational educational environment as a new pedagogical system, shows the relationship of real and virtual components of the informational educational environment in the integral pedagogical process, presents the conditions for the selection of organizational forms of learning in a virtual educational environment. The validity of the selection of organizational forms of training ensures the achievement of guaranteed high quality of the educational process.
Evaluating the Numeracy Cognitive Level of Indonesian Elementary School Students using the Minimum Competency Assessment

This study aims to describe the achievement of the numeracy cognitive level of elementary school students on a minimum competency assessment. The population of this study were fifth grade students at C-accredited elementary school in Lampung province. The sample of this study selected using stratified random sampling. Data were collected using a level 2 numeracy test instrument developed by the Center for Evaluation and Learning of the Ministry of Education and Culture of the Republic of Indonesia. Data were analyzed descriptively and inferentially using the Mann-Whitney test. It was concluded that: a) students’ category of numeracy ability was “competent” (mean score 43.04); b) there is no significant difference between the numeracy abilities of male and female students; c) the highest percentage of correct answers was matching type questions (62.9%); and d) the lowest cognitive level was achieved is in the measurement concept which was only 28.6. Keywords: elementary school students, minimum competency assessment, numeracy cognitive level. Abstrak: Penelitian ini bertujuan untuk mendeskripsikan pencapaian level kognitif numerasi siswa sekolah dasar pada asessmen kompetensi minimum. Populasi penelitian ini adalah siswa kelas V sekolah dasar dengan akreditasi C di provinsi Lampung. Sampel penelitian dipilih dengan teknik stratified random sampling. Data kemampuan numerasi siswa dikumpulkan dengan menggunakan instrumen tes numerasi level 2 yang dikembangkan oleh pusat evaluasi dan pembelajaran Kementerian Pendidikan dan Kebudayaan Republik Indonesia. Data dianalisis secara deskriptif dan inferensial dengan menggunakan uji Mann-Whitney. Berdasarkan hasil penelitian disimpulkan bahwa: a) kemampuan numerasi siswa berada pada kategori “cakap” (rata-rata 43,04); b) tidak terdapat perbedaan yang signifikan antara kemampuan numerasi siswa laki-laki dan perempuan; c) bentuk soal menjodohkan merupakan bentuk soal dengan persentase jawaban benar tertinggi (62,9%); dan d) level kognitif terendah dicapai pada konsep pengukuran yaitu hanya sebesar 28,6. Kata kunci: asesmen kompetensi minimum, level kognitif numerasi, siswa sekolah dasar. DOI: http://dx.doi.org/10.23960/jpmipa/v23i2.pp428-436
The Influence of Online Learning in Improving The Literacy Competence of Primary Teacher Education (PGSD) Students in Universitas Negeri Semarang During The Epidemic Crisis

Online learning is one of the innovations in education in respond to the development of technology nowadays that is to provide innovative learning source. It allows students to have more flexibility in learning since it can be done whenever and wherever they want it to be. They could interact with the lecturer through applications like e-classroom, video conference, zoom or even chat in whatsapp group. Online learning is also an innovation in education to imprve the literacy competence of students and encourages students to be able to do three critical analysis such as conducting interview, examining the environment, writing report, and doing observation well.This study aims at analyzing the proses of online learning conducted for the PGSD Unnes students and analyzing the influence of the learning on the improvement of their literacy competence throughout the pandemic crisis. The method implemented is mixed method that is conducting both parametric and non-parametric statistic analysis. It is started from quantitative data that is processed and tested using statistics test, continued by analyzing the data using descriptive qualitative method to portray the process and influence of online learning on the improvement of literacy competence of PGSD students during the pandemic. Based on the observation and questionnaire, it could be analyzed how much the students participate in the online larning process and literary activity during the pandemic. The samples in this research are the students of PGSD Universitas Negeri Semarang (UNNES). The data collected from the samples then being analyzed using statistics and descriptive test, presented and concluded.
The The Comparison of Lexical Bundles in EFL Teachersâ€™ Talk between Non-native and Native English Teachers

Lexical bundles are multi-word expressions that usually hang together. They are considered as a main factor in building fluency in academic discourse; helping to shape meanings and coherence in a text. The objectives of the study are to analyse non-native and native English teachersâ€™ talk in order to explain (1) the use of structural and functional types of lexical bundles in non-native and native English teachersâ€™ talk, (2) the similarities and differences of lexical bundles used in the talk, (3) the relation between structural and functional types of lexical bundles used in the talk. This study is a qualitative study and designed as a classroom discourse analysis. The data are non-native and native English teachersâ€™ talk. The results reveal that non-native and native English teachers used all types of lexical bundles structurally and functionally. Similarly, both teachers performed lexical bundles in form of verb phrase and they mostly functioned as stance expressions. However, they performed them differently in terms of the sub-types. Non-native English teachers used more 1st/2nd person pronoun+VP fragments while native English teachers employed more WH-questions fragments. Functionally, non-native English teachers used lexical bundles more in showing ability while native English teachers performed them more in showing intention/prediction. Both teachers frequently employed lexical bundles with verb phrase structures that functioned as stance expressions. The use of lexical bundles is important for teachers to perform native-like fluency and improve their oral proficiency. &#x0D;
GENDER EQUALITY IN ONLINE ENGLISH BOOK IN READING AND WRITING MATERIALS

This study is to find out whether the writing and reading material is gender biased in the online English book published by British Council. The researchers used qualitative method by using content analysis technique. The data are collected through document review. The research focused on the analysis of six aspects which suggested by Logsdon, they were number of female/male in character, in the linguistic Equal on she and he as pronouns, one’s profession, gender role and behaviors, female and male on which focus on public and domestic role, female and male which focus on art talent, sport ability, and intellectual competence in art and sport in online English book. The result of research showed that the percentage of female is higher than male in the aspects female pronouns in writing material, gender roles (public role) in reading material, art, and sport talent in both of reading and writing material. And the percentage of male are higher than female in the aspects male characters in reading material, female pronouns in reading material and intellectual competence in reading material. It can be concluded that online English books written by the British Council are still found with inequality gender.
NANOPARTIKEL FE3O4/SIO2 BERBASIS BAHAN ALAM SEBAGAI MATERIAL PENGADSORPSI PEWARNA DALAM AIR

ABSTRAK&#x0D; Methylene blue merupakan senyawa organik non-biodegradable yang dapat menyebabkan pencemaran lingkungan terutama pencemaran air. Methylene blue merupakan pewarna sintetis yang memiliki gugus benzene dan sulit untuk didegradasi. Sehingga upaya yang bisa dilakukan untuk menghilangkan methylene blue dalam air yaitu menggunakan metode adsorpsi. Metode ini dilakukan dengan mensintesis Fe3O4/SiO2 sebagai absorben dengan metode in-situ, dimana Fe3O4 memiliki sifat kemagnetan yang dapat menghilangkan katalis dan limbah zat warna, sementara SiO2 memiliki sifat kompabilitas yang baik sebagai bahan pelapis magnetik. Nanokomposit Fe3O4/SiO2 sebelum diaplikasikans sebagai adsorpsi dikarakterisasi dengan uji XRD dan FTIR. Dari hasil XRD dapat deketaui pola difraksi nanokomposit Fe3O4/SiO2 bersesuaian dengan pola difraksi Fe3O4, sedangkan FTIR menunjukkan keberdaan SiO2. Pada hasil penelitian menunjukkan bahwa variasi konsentrasi larutan berpengaruh terhadap nilai kapasitas adsorpsi. Semakin besar konsentrasi larutan methylene blue maka nilai kapasitas adsorpsinya semakin besar yaitu 2,41 mg/g sedangkan nilai efisiensinya menurun yaitu 84%.&#x0D; &#x0D; Kata Kunci: Nanopartikel, Methylene blue, Kapasitas adsorpsi&#x0D; ABSTRACT&#x0D; Methylene blue is a non-biodegradable organic compound that can cause environmental pollution, especially water pollution. Methylene blue is a synthetic dye that has a benzene group and is difficult to degrade. So that efforts can be made to remove methylene blue in water using the adsorption method. This method is carried out by synthesizing Fe3O4/ SiO2 as absorbent by the in-situ method, where Fe3O4 has magnetic properties that can eliminate catalysts and dye waste, while SiO2 has good compatibility properties as a magnetic coating material. Fe3O4/SiO2 nanocomposites before being applied as adsorption were characterized by XRD and FTIR tests. From the XRD results, it can be determined that the Fe3O4/ SiO2 nanocomposite diffraction pattern corresponds to the Fe3O4 diffraction pattern, while the FTIR shows the presence of SiO2. The results showed that variations in the concentration of the solution affect the value of the adsorption capacity. The greater the concentration of the methylene blue solution, the greater the adsorption capacity value is 2.41 mg / g while the efficiency value decreases by 84%.&#x0D; &#x0D; Keywords: Nanoparticle, Methylene blue, Adsorption capacity&#x0D;
Master&amp;apos;s degree pedagogical education for engineering teachers: design guidelines

The article presents a theoretical model of the Master&amp;apos;s degree program &amp;quot;Engineering Axiology&amp;quot; for teachers of engineering disciplines in the direction of training &amp;quot;Pedagogical Education&amp;quot;. The essence of the model is that this educational program focuses on the axiological approach in the educational activities of teachers of engineering disciplines. In accordance with the model, the professional and pedagogical education of teachers allows the integration of psychological, pedagogical and industrial technological training.
Cross-multidimensional spaces and environments as factors of innovative renewal of educational activities

The article proposes and reveals the scientific idea and typology of interactions and intersections of various spaces and environments, generating new cross-multidimensional realities, causing the emergence of new didactic opportunities and properties of educational systems. In relation to educational organizations of general education, the most effective combinations and combinatorial relations of the educational environment in the framework of its cross-multidimensional interaction with other spaces and environments have been identified.
Video Forgery Detection Method based on Local Difference Binary

ÖzRecently, the rapid development of video editing software has made video forgery applicable.Researchers have proposed methods to detect forged video frames.These methods utilize codec properties, motion artifacts, noise effect and frame similarity to detect forgery.Execution time and low detection accuracy are the two main drawbacks of forgery detection methods reported in the literature.In this study, a new frame duplication detection method using Local Difference Binary (LDB) is proposed to extract features from the frames.Distance between similar frames that have similar feature vectors are is used by the method to estimate Distance of Forgery and to determine the exact location of duplicated frames.PSNR between similar frames are is then used to group them into three classes, and rule-based mechanism reports forged frames according to the membership to classes.Experimental results indicate that the proposed method has lower execution time with higher accuracy than similar works.Son yıllarda, video düzenleme yazılımının hızlı gelişimi video sahteciliğini uygulanabilir hale getirmiştir.Araştırmacılar sahte video karelerini tespit etmek için yöntemler önermiştir.Bu yöntemler sahteciliği tespit etmek için kodek özelliklerini, hareket artefaktlarını, gürültü etkisini ve çerçeve benzerliğini kullanmaktadır
Occupancy-informed:Introducing a method or flexible behavioural mapping in architecture using machine vision

The feedback-loops of the modern architectural design practice are broken, as architects rarely get to experience and learn about life in their buildings in a systematic way.Through novel survey and annotation methods, this project aims to develop tools and methodologies that assist architects in getting insights into the built environment.This paper describes the initial development of a framework for surveying and annotating occupant behaviour within architecture, called ``Behavioural Situations''.Using object recognition on embedded devices, it is possible to build an understanding of occupant behaviour, by coupling behavioural signifiers and their relations as nodes and edges in a graph representation.