Reviewerly/exHarmony huggingface dataset:
REFLECTIONS ON NEW TRENDS IN HIGHER EDUCATION ASSESSMENT

In the past few years all aspects of social and economic life were significantly impacted by the global pandemic, forcing everyone to reconsider familiar ways of doing things and carrying on with their personal and professional plans. Higher education was not an exception, and all the stakeholders involved in the educational system had to cope with numerous challenges and adapt quickly to many changes in all areas of their activity: teaching and learning, evaluating and grading, interaction between teachers and students and among peers, or administrative issues. This article aims to discuss the first two elements from this list and to show how the shift to exclusively online academic interaction triggered reconfigurations of the evaluation systems used in universities. While, as the title of the paper indicates, we would like to concentrate our attention on changes in assessment, we also consider that teaching and learning methods have a strong impact on how acquisition and development of skills is evaluated and that neither of the two aspects can be discussed without making some reference to the other.
Analysis of Delivery Data by Medical Staff Using The K-Means Algorithm in Sleman District

The process of childbirth has many factors that result in the death of the baby and the mother during the delivery process, namely the lack of medical staff or health workers (midwife, doctor, or another paramedic). There needs to be an analysis of the delivery process assisted by medical staff. This analysis maps the readiness of medical staff with the needs in the field. Both natural and cesarean births have the same main goal, to make labor run smoothly and ensure that the mother and baby are safe. Deliveries assisted by health workers use secure, clean, and sterile equipment to prevent infection and other health hazards. The hope is to minimize the number of mothers who are not helped during childbirth. This study aims to analyze data on deliveries assisted by medical staff for case studies in Sleman District, Province of Yogyakarta Special Administrative Region, Indonesia, with the K-Means Algorithm. K-means is an unsupervised learning algorithm that has a function to group data into data clusters. This algorithm can accept data without any category labels, the learning process requires a relatively fast time, is quite easy to understand and implement, and the algorithm is quite popular. The research used 13,869 data in 2018. In 2019, the decrease in the number of mothers giving birth from 13,470 who were rescued was 13,469. The 2018 data produced 3 (three) clusters. In 2019 data produced 4 (four) clusters. With different levels of levels assisted by medical staff starting from the high, medium, and low groups.
“WASTEAPP” Application Based on Android for Household Waste Self-Tracking

Rapid population growth has both a positive and a negative impact, such as an increase in household waste generation. This also becomes a new chain of problems in other aspects, such as health, flood, air pollution, and environmental pollution. To overcome this problem, an integrated waste management system is needed. Household waste, especially inorganic waste, was valuable. The application was developed to promote a new paradigm; waste is a new source of money. As well as help run a circular economy in the waste recycling industry. The application to be built is "WasteApp", an independent household waste management application that can track and help manage it. This application is built using the Android operating system to make it a user-friendly tool. An application trial was conducted in Geulanggang Baro village, Bireuen district involving the operator, local government, and community. This location was chosen because they already have informal waste management, and it is easier to maximize by information technology intervention. The final result of this research is the “WasteApp” application based on android to manage household waste independently. The community, operator, and local government can work waste independently and systematically through this system. This application contains several menus, including the Home menu, login, register, and the main menu, namely the waste sell history and selling waste, as well as educational articles that contain how to manage waste, from sorting waste to the recycling process. Community participation was needed to increase to full implementation of good waste management.
Phoneme Frequencies in Slovene (Text vs. Dictionary)

&#x0D; &#x0D; &#x0D; &#x0D; In this paper Slovene phoneme frequencies from a Slovene–German learner’s dictionary are analysed. The structure of the dictionary allows the determination of phoneme frequencies on two distinct linguistic levels: the level of dictionary (analysis of headwords) and the level of text (example sentences, illustrating a prototypical context of a given headword). By applying various statistical significance tests it can be shown that no significant differences between the rank-frequency distributions are observable. The same holds true for testing the differences, based on the repetition rate of phoneme frequencies on the dictionary and text levels. In contrast to this, only dichotomised data (by grouping them into vowels and consonants) show a significantly different frequency behaviour. Overall it can be shown that based on the given empirical observations, the conceptual importance and relevance of the levels of dictionary vs. text for quantitative phoneme studies has to be reconsidered and critically reflected in future studies.&#x0D; &#x0D; &#x0D; &#x0D;
Innovative methodologies between supply and demand

At present, educational discourses on innovative methodologies make up an enthusiastic panorama that is not exempt from criticism. The aim of this paper is to understand the real possibilities of success for new methodological proposals in a case study focused on the Geography and History classes of a teacher–researcher. The results obtained allow us to identify a central category of analysis, “methodological ineffectiveness”, and two subcategories, “methodological supply” and “methodological demand”. This confirms the importance of exploring the impact of new methodologies based on the factors and voices specific to each educational context.
UNA EXPERIENCIA EN INSTITUCIÓN DE EDUCACIÓN SUPERIOR MEXICANA PARA EL SEGUIMIENTO DE PROYECTOS DE VINCULACIÓN Y TESIS DE POSGRADO DURANTE LA PANDEMIA DEL COVID-19

education institutions
Developing the Prototype of Picture-Based Learning Materials in the Teaching of Speaking Skills

Various pictures can be utilized as learning media to facilitate language learners to learn vocabulary, pronunciation, grammar, and speaking skills. In the teaching of speaking, serial pictures can be designed to promote students to speak what the pictures illustrate. Therefore, speaking skills become crucial part in learning the target language. In learning English where learners have limited sources to access real English communication with native or non-native English speakers, speaking materials become essential roles in developing learners’ speaking skills. Unfortunately, most of English Foreign Learners (EFL) oftenly confused to practice their English speaking skill because of the the laerners are afraid to start the conversation or express their idea in English. Dealing with this issue, this study is aimed at developing the prototype of learning materials in the teaching of speaking skills in high school level. This study is categorized as R&amp;D design (Research &amp; Development). The data consisted of two kinds, quantitative and qualitative data. The quantitative data are collected using questionnaire and speaking tests. Meanwhile, qualitative data are gained using interview sheets. Then, the quantitative data were analyzed using statistical analysis, while the qualitative data were elaborated in qualitative ways. The process of the qualitative ways consisted of three main analyses, namely condensation data, data display, and conclusion drawing/verification. Based on the result of analysis, this study showed that most of the laerners are afraid to making mistakes in speaking English. It was affected by some difficulties like their pronunciation, vocabulary mastery also grammar. For further studies, speaking practices are needed more in learning English speaking to train them to use the language to communicate. The implication for further learning is that speaking materials are designed in line with students’ speaking level and students’ target needs and learning needs.
The Use of Oral Drill Method in Teaching Speaking Skill

English is one of difficulties subject in Indonesia. Therefore, speaking is one of important skills students must master at school. While the eighth grade excellent class of MTs Al-Amiriyyah had problem in speaking, most of them felt difficult to pronounce English. They were also less vocabulary and don't understand English lesson. The aim of this research was to describe the use of oral drill method in teaching speaking at eighth grade excellent class of MTs Al-Amiriyyah in academic year 2020/2021. This research used descriptive qualitative design. This research studied about English teaching method conducted by Mrs. Atiya who was a teacher at eighth grade excellent class of MTs Al-Amiriyyah Blokagung Tegalsari Banyuwangi. This research involved 23 female students as the subject. The researcher used classroom observation, interview, and documentation to collect data. Based on the result of observation, there was improvement of students at eighth grade excellent class of MTs Al-Amiriyyah. From the results of the student's scores, it showed that the students lowest score was 75, the students’ highest score was 95 and the average score was 84.3. Based on the result, the researcher concluded that the oral drill method in teaching speaking was successful for improving speaking ability
Physical Properties of Orange Peels Eco-enzyme: One way to Reduce and Recycle Waste and Environmental Problem

A high quantity of organic waste without proper waste management can endanger public health and environmental sustainability. To reduce the risk that can be caused by organic waste pollution, then there should be a solution. One of them is to make eco-enzyme. Eco-enzyme is a fermented solution from organic waste that can be used as floor cleaner, plant disinfectant, hand sanitiser, plant fertilizer, etc. A good eco-enzyme solution has special properties. One of them is the low-value power of Hydrogen (pH). In this study, other physical properties of eco-enzyme are analyzed. Eco-enzyme was produced from organic waste. Here, Sunkist orange peel and various mixtures of orange peel were used as the main materials of eco-enzyme. The eco-enzyme solutions were carried out for 33 days, accompanied by routine monitoring by reviewing physical parameters such as pH, Total Dissolved Solid (TDS), and Electrical Conductivity (EC) values. The results showed the characteristics of the eco-enzyme product by physical properties are the eco-enzyme has an acidic with a low pH value (&lt;3.6) accompanied by high values of TDS (&gt;1000 ppm) and EC (&gt;1500mS/cm). The finding is TDS and EC have high value whereas usually high EC and TDS are owned by polluted liquids.
METODE GURU DALAM MEMOTIVASI MEMBACA PESERTA DIDIK KELAS 3 SDN 53 KOTA BIMA TAHUN PELAJARAN 2022/2023

The lack of reading motivation that occurs in students is a problem that must be taken seriously in education. Remembering that success in educating is when you have been able to change the personality of students in an understanding from those who can't to can. The focus of our research is to look at teacher methods in motivating and at the same time overcoming the lack of reading power in students at SDN 53 Kota Bima. The method we use in this research is descriptive qualitative method. The results of this study found that the reading power of students at SDN53 Kota Bima, more specifically grade 3, was still very low, although most of them were already able to read, but there was no habit of reading yet. Teachers communicate with parents to always monitor what their children are doing, provide time limits for using cellphones and make a special schedule for when to study and when to hold cellphones. The methods, methods and facilities provided are also used by educators who are very good, such as giving students freedom to choose, even with certain limitations and always watching over them.
Behavioural Pseudometrics for Nondeterministic Probabilistic Systems

For the model of probabilistic labelled transition systems that allow for the co-existence of nondeterminism and probabilities, we present two notions of bisimulation metrics: one is state-based and the other is distribution-based. We provide a sound and complete modal characterisation for each of them, using real-valued modal logics based on Hennessy-Milner logic. The logic for characterising the state-based metric is much simpler than an earlier logic proposed by Desharnais et al. as it uses only two non-expansive operators rather than the general class of non-expansive operators. For the kernels of the two metrics, which correspond to two notions of bisimilarity, we give a comprehensive comparison with some typical distribution-based bisimilarities in the literature.
Errors in the Use of English: A Case of Primary School Pupils in Meme Division, with Focus on Morpheme and Word

This study describes the performance of pupils in the First School Leaving Certificate (FSLC) examination English language composition paper in Kumba and neighbouring localities. It was reported by previous researchers that the performance of students in the GCE English paper was falling steadily. However, it was unfortunate that no research has checked what obtains at the level of the FSLC, which is the concern of the present study. To effectively tackle any problem it must begin from the roots. So, this study set out to analyze the grammatical features in the written production of Class Six pupils in the FSLC English language paper in Meme Division in the Southwest Region of Cameroon. This study was conducted to answer the question “what specific grammar features are observed in the written production?” The study had as main objective to identify specific grammar features in the writings of pupils in the basic schools around Meme Division. A descriptive survey design was adopted for this study, and it was carried out within the theoretical framework of error analysis propounded by S.P Corder (1974). The material for this study is the past FSLC English language composition scripts for the 2014, 2015, and 2016 academic year. A total of 168 scripts were collected for this study, that is, 56 scripts for each of the three academic year were collected. Errors were identified and classified under morphemic and word errors. The findings for the study revealed that, word error recorded 70.7% of 942 cases identified, while morphemic error recorded 29.2% of 942 errors identified. The researcher recommended that the government should ensure all teaching materials are available at the beginning of each academic year and to make sure that pedagogic inspectors do their job as they should.
Intelligent Scenario of Sports Outward Training Based on Enhanced Multimedia Area Network Technology

:Outward Bound training is an important teaching method, which complies with the requirements of the reform of the physical education curriculum. It can not only cultivate students' interest in learning, stimulate students' potential, but also cultivate students' team awareness. After Outward Bound training enters our country. The ability of the courseware is not high, and the content, text and pictures of the courseware need to be strengthened. Most of the courseware uses simple PPT software. It provides help for the teaching of physical education teachers in colleges and universities, systematically manages the information of physical education teaching, and improves physical education teaching. efficiency, and enrich the resource sharing of physical education teaching in colleges and universities. An overall analysis of the needs of various aspects of college physical education and teaching management.
Characterization of a Vision-Based Tool for the Investigation of Geometric Characteristics of Ground-Deposited Volcanic Ash

With the support of public authorities and research institutions, volcanic ash fallout and its impact on the safety of people, infrastructure and services are addressed with the aim of defining protocols and instruments for the reliable and effective handling of related emergencies. Most of the solutions proposed in the literature on ash fallout monitoring suffer from high cost and are demanding in terms of installation and maintenance. The approach suggested in this work is based on the use of a low-cost vision embedded system and a dedicated algorithm which automatically processes acquired frames of ground-deposited volcanic ash in order to estimate the main geometric properties of each particle identified in the work area. A complete characterization of the system is presented, along with a robustness analysis of particle shapes, their orientation and their position in the inspected frame. An accuracy of ±40.2 µm (with a 3σ limit) and a resolution of 32.9 µm (in the worst case), over a framed area of 130 mm by 100 mm, were estimated; these values would fulfill the objectives of the application.
Scalable Feature Engineering from Electronic Free Text Notes to Supplement Confounding Adjustment of Claims‐Based Pharmacoepidemiologic Studies

Natural language processing (NLP) tools turn free‐text notes (FTNs) from electronic health records (EHRs) into data features that can supplement confounding adjustment in pharmacoepidemiologic studies. However, current applications are difficult to scale. We used unsupervised NLP to generate high‐dimensional feature spaces from FTNs to improve prediction of drug exposure and outcomes compared with claims‐based analyses. We linked Medicare claims with EHR data to generate three cohort studies comparing different classes of medications on the risk of various clinical outcomes. We used “bag‐of‐words” to generate features for the top 20,000 most prevalent terms from FTNs. We compared machine learning (ML) prediction algorithms using different sets of candidate predictors: Set1 (39 researcher‐specified variables), Set2 (Set1 + ML‐selected claims codes), and Set3 (Set1 + ML‐selected NLP‐generated features), vs. Set4 (Set1 + 2 + 3). When modeling treatment choice, we observed a consistent pattern across the examples: ML models utilizing Set4 performed best followed by Set2, Set3, then Set1. When modeling the outcome risk, there was little to no improvement beyond models based on Set1. Supplementing claims data with NLP‐generated features from free text notes improved prediction of prescribing choices but had little or no improvement on clinical risk prediction. These findings have implications for strategies to improve confounding using EHR data in pharmacoepidemiologic studies.
AUGMENT REALITY IN LABORATORY: A STEP TOWARDS TECHNOLOGY ENHANCED LEARNING

Augmented reality (AR) has been gaining much attention in the research world in recent years. AR has the potential to change the location and timing of learning, to introduce new and additional ways and methods. The capabilities of AR technology may make classes more engaging and informative. This study investigated the feedback of Bachelor of Pharmacy (Hons.) and Bachelor of Science (Hons) Pharmaceutical Chemistry (N=92) of semester 2 on the use of AR tools in the common session of pharmaceutics laboratory during surface tension practical. The study questionnaire was developed from literature on AR and obtained data was analyzed by using SPSS 18. According to the collected feedback, 95.6% of the students agreed/strongly agreed that using AR tool during practical session was beneficial, while, 94.5% agreed that AR was also beneficial after practical session to recall their learning. 84.8% of the students were found to have a strong agreement with the fact that AR was helpful to enhance students’ knowledge and practical skills. A large percentage of students (80.4 %) were in strong agreement with the fact that the use of AR tools is better than videos for the skill-based sessions. The majority of students (88.1 %) agreed that the quizzes and information given in the AR tool were beneficial to understand the practical in an easy manner. The highest percentage of students (90.6%) had accepted that the quality of teaching and learning used in the AR tool was good. The potential of AR use in practical could produce promising outcomes. Effective implementation of AR could improve student’s engagement, understanding, and learning process on practical skills and could effectively impact the delivering quality of teaching and learning.
Adoption of Distance Education and Mobile Technology by University Students

The aim of this study is to determine the adoption of distance education and mobile technology by university students. Quantitative research method was used in the study. The research was conducted in the fall semester of 2021-2022. Volunteer 412 university students continuing their education in Kazakhstan participated in the research. In the research, 3-week online education mobile technology training was given to university students. "Mobile Technology in Education" measurement tool developed by the researchers and compiled by experts in the field was used in the research. The measurement tool was delivered and collected by university students via online method. The analysis of the data was made by using the SPSS program, frequency analysis, t-test, and the results were added to the research in the presence of tables. According to the results obtained from the research, it was concluded that there was a significant difference between the post-test mobile technology status of university students and that their mobile technology status was high.
EFL STUDENTS’ PERCEPTION TOWARDS THE USE OF ENGLISH SONGS AS LISTENING LEARNING MEDIA

This article investigates students' perceptions and challenges of using English songs as their listening learning media. This study used a mixed method, namely the explanatory sequential mixed method, with two instruments: questionnaire and interview. The data in this study were obtained from 49 SMK Negeri 2 Batu students. This study reveals that students perceive the use of songs as media for listening learning. There are 87.8% of students use songs for listening practices, and 91.8% agree that they are more comfortable using songs to learn listening than other media. Besides, there were obstacles in the form of students' difficulties in quickly recognizing the words spoken in a song with a fast tempo. The overall findings of this study are that English songs are suitable for use as listening learning media in and outside the classroom by considering the selection of songs according to the level of English and student preferences.
Artificial Intelligence-Based Voice Assistant

Abstract: Workers were replaced by machines throughout the commercial revolution, sending more people into the service industry. Chatbots and voice assistants, that might offer support to customers or users, square measure currently a part of the digital revolution's assault on this field. Voice assistants (VA) are the type of voice- enabled artificial intelligence (AI). AI refers to some level of intelligence displayed by digital interfaces, or the ability of algorithms to mimic intelligent human behaviour. However, AI refers to “cognitive” functions that we tend to escort the human mind, including problem solving and learning. The counselling response model provides a suitable response by combining the users’ input and the emotional status of the user; this can have a consolatory impact which will create the user loaded down with depression feel higher.