Reviewerly/exHarmony huggingface dataset:
Dataset Construction and Opinion Holder Detection Using Pre-trained Models

With the growing prevalence of the Internet, increasingly more people and entities express opinions on online platforms, such as Facebook, Twitter, and Amazon. As it is becoming impossible to detect online opinion trends manually, an automatic approach to detect opinion holders is essential as a means to identify specific concerns regarding a particular topic, product, or problem. Opinion holder detection comprises two steps: the presence of opinion holders in text and identification of opinion holders. The present study examines both steps. Initially, we approach this task as a binary classification problem: INSIDE or OUTSIDE. Then, we consider the identification of opinion holders as a sequence labeling task and prepare an appropriate English-language dataset. Subsequently, we employ three pre-trained models for the opinion holder detection task: BERT, DistilBERT, and contextual string embedding (CSE). For the binary classification task, we employ a logistic regression model on the top layers of the BERT and DistilBERT models. We compare the models’ performance in terms of the F1 score and accuracy. Experimental results show that DistilBERT obtained superior performance, with an F1 score of 0.901 and an accuracy of 0.924. For the opinion holder identification task, we utilize both feature- and fine-tuning-based architectures. Furthermore, we combined CSE and the conditional random field (CRF) with BERT and DistilBERT. For the feature-based architecture, we utilize five models: CSE+CRF, BERT+CRF, (BERT&CSE)+CRF, DistilBERT+CRF, and (DistilBERT&CSE)+CRF. For the fine-tuning-based architecture, we utilize six models: BERT, BERT+CRF, (BERT&CSE)+CRF, DistilBERT, DistilBERT+CRF, and (DistilBERT&CSE)+CRF. All language models are evaluated in terms of F1 score and processing time. The experimental results indicate that both the feature- and fine-tuning-based (DistilBERT&CSE)+CRF models jointly yielded the optimal performance, with an F1 score of 0.9453. However, feature-based CSE+CRF incurred the lowest processing time of 49 s while yielding a comparable F1 score to that obtained by the optimal-performing models.
Teaching english speaking skill at preparatory schools in sulaimani city

The present study tries to find out how teaching speaking skills is taught in the preparatory schools in Sulaymaniyah city and how the teachers exploit the speaking activities in the preparatory stage text book, what kinds of teaching strategies are used by preparatory English teachers in teaching the skill under study?, and What problems face preparatory English teachers while teaching the skill? A class observation was done to collect data in order to describe the situation in which eleven of them were observed during teaching. During observation of this study, teachers used a variety of strategies to teach speaking, including storytelling, picture describing, role play, games, and pair work. Teachers follow the classic methods to teach specified as grammar translation method, and with a rare using of Pair work was considered to be the most popular method by the teachers in teaching speaking. And, according the findings some problems indicated in which they cannot exploit the speaking activity well. Several of them refer the difficulties to internal factors such as native language usage by both the teachers and learners. And, plenty of them present the problems that relates to external factors such as the environment of teaching, the course book and teaching materials. Moreover, limited time for teaching English language, it makes less opportunity for speaking skill teaching To conclude, although, the preparatory English language teachers in Sulaymaniyah city used some strategies to teach speaking skill, they faced some difficulties.
Technical Intern Candidates’ Grammatical Errors in Japanese Language at LPK Ganesha Karya Abadi

The high number of Japanese language errors in answering job interview questions is one of the factors that cause the failure of technical intern candidates to be accepted to work in Japanese companies. Therefore, the errors in the answers that technical intern candidates prepare for the possible questions that will usually arise in job interviews need to be known in order to be corrected and improved so that they can be better in following job interviews. This study aims to identify and analyze the forms of errors found in the answers to job interview preparation. The data source consists of the answers of fifteen technical intern candidates at LPK Ganesha Karya Abadi to the job interview essay test. All data were collected, identified, and analyzed using the Surface Strategy Taxonomy theory by Dulay (1982) supported by the Japanese language morphology theory by Yoko Hasegawa (2014) and Japanese language syntax by Masayoshi Shibatani (1990) on the forms of errors. The results of the study showed that the grammatical errors found in the answers of technical intern candidates to the job interview essay test were errors of omission, addition, misformation, and misordering. The most common error was the misformation, followed by the omission error, then the addition error, and the least was the misordering error.
A Comparative Research on the Text Selection Systems of High School Mother Tongue Textbooks of China and the United States

As an important carrier of students' learning, Chinese textbooks play an important role in cultivating students' Chinese ability. Mr. Ye Shengtao once pointed out that "the textbook is nothing but an example", which emphasizes the exemplary function of the textbook, that is, the selection of texts in the textbook is to provide some examples for students' Chinese learning. There are many factors to measure the quality of a set of teaching materials, and the selection of teaching materials is one of the important factors. The purpose of this paper is to compare the Chinese and American text selection system, in order to bring some useful suggestions for our country's textbook selection system. I expects the research results of this paper to bring some positive effects to the optimization of the text selection system of textbooks.
The Construction of University Teaching Evaluation System Based on Big Data under the Concept of Blockchain

Enhancing classroom teaching models and evaluation methods, strengthening data mining and analysis, and deepening the integration of information technology and educational innovation have become important goals of China's recent implementation of digital education strategies. This paper proposes the use of blockchain concepts to create a more comprehensive system for data collection, sharing, and analysis, facilitating efficient coordination of data between disciplines, teachers, and courses. By deeply integrating big data technology with university teaching evaluation systems, it assists in reforming teaching evaluation modes and methods in different disciplines, addressing the practical issues of "limited practicability, limited data availability, and system development challenges" in current practices. Furthermore, it aims to promote the practical implementation of educational big data and gradually achieve the goals of building a university teaching evaluation system based on big data.
Research on Online Learning Space Design Supported by VR/AR Technology

At present, online learning information is mainly presented in text, image and video, and information acquisition channels are mainly provided through visual and auditory channels. In order to facilitate online learners to obtain information through multiple channels, VR/AR technology is used to create virtual learning space, improve the information presentation mode of online learning, and give learners a kind of immersive multi-sensory stimulation to obtain information cognition. This paper integrates VR/AR technology into the design of online learning space. Based on the analysis of the research status of online learning space supported by VR/AR technology, combined with the research on the design practice of existing online learning space supported by VR/AR technology. This research analyzed the characteristics of online learning space supported by VR/AR technology, described the design function of online learning space supported by VR/AR technology, and put forward the content framework of online learning space design based on VR/AR technology support from the perspective of teachers and students.
Research on Smart Teaching Based on Online Learning Data

The addition of online platforms has a positive impact on both sides of the teaching and learning. Compared to traditional offline classrooms, the addition of online platforms can provide richer learning support for both sides of teaching and learning. The online platform can record the entire learning process data of learners. The software tools of SPSS and Origin can be used to compare and analyze the learning data such as learning frequency, duration, etc. Based on visual data analysis, teachers can intuitively and accurately understand learning behaviors of learners during their learning process. The teaching methods and organization can be optimized, which can make the learning process "Smart".
English Informatization Teaching in Colleges and Universities in the 5G Era

With the coming of 5G, English teaching in higher learning institutions is facing a lot of opportunities and challenges. 5G is characterized by high-speed, low-latency, wide-connection and large-capacity, which is suitable for English teaching in higher learning institutions. Therefore, in the age of 5G, it is necessary to reform the mode of English teaching, to take full advantage of the advantages of the Internet, to build an informational teaching environment, and to arouse students' enthusiasm and initiative. The experiment results indicate that in the 5G age, the teaching quality of English information teaching can be up to 93.4%.
Research on the Ecological Niche of Students' English Language Learning in Foreign Language Online Teaching

Since the development of new technology, multi terminal online teaching has become the mainstream teaching mode. The classroom space environment of college English for non-English majors has changed from classroom to home, and the teaching mode has also changed from offline to online. Students' online classes at home have formed a new student English Ecological niche. Can students establish a stable and balanced Ecological niche under the online teaching environment of college English in the new era? In this study, qualitative and quantitative research methods are used. In the form of questionnaires, the main factors affecting students' English learning and the student Ecological niche scale in online teaching are designed. Data about external factors such as teachers and teaching environment, students' language learning concepts, language learning strategies, and the definition of teachers' roles are collected, and the research results are analyzed and discussed from the change trend of average and standard deviation, Finally, it was found that the students' Ecological niche had a misplaced or absent balance change phenomenon, that is, the ecological imbalance of learning in online teaching. Therefore, this study aims to arouse teachers' attention to the students' learning ecological environment, correct the misplaced learning ecology in time, and rebuild a balanced and stable student Ecological niche.
Stress Relief among Teachers Responsible for College Student Affairs Management

In China's colleges, there is a group of people who are the core force in carrying out students' ideological education and guidance and managing students' affairs. In recent years, this group has received the attention and focus of China's education authorities, which has led to more work, higher requirements, and increased work pressure. The pressure of teachers responsible for college student affairs management has the characteristics of multi-source, complexity and continuity and so on. This thesis analyses main sources of work pressure of this group of teachers from the three aspects of organization, individual and environment, and tries to put forward suggestions on how to relieve work stresses from external and internal factors, namely, improving work environment and teacher evaluation system on the college's side, and a) self-awareness, b) self-improvement, c) interpersonal relationship, d) innovative working methods on teachers' side, which is great significance to improve the professional identity and happiness of this team, and to build up a specialized and professionalized student management and service team. It is of great significance.
The Strategy of the Common Development of the Teaching of College Music and Ethnic Music Culture

With the development of modern society, music education in colleges and universities plays a pivotal role in cultivating talents. As an important part of China's music education, combining the inheritance of ethnic music culture and music teaching in colleges and universities is conducive to cultivating students' sense of identity and pride in ethnic music, so as to promote the inheritance and development of ethnic music culture. However, in the process of music teaching, how to give full play to the advantages of music education in colleges and universities and cultivate musical talents with innovative spirit and practical ability on the basis of inheriting ethnic music culture has become an urgent problem to be solved. This paper puts forward the strategy of college music teaching and folk music culture inheritance.
Exploration of Learning-Centered Teaching Reform: Taking "PHP Framework Technology" as an Example

In recent years, the teaching concept of "learning-centered" has attracted widespread attention from the education community both domestically and internationally, and has been applied to the reform and practice of teaching models. It implements the core concept of "student development as the centre" in higher education, taking students as the main body of learning and giving full play to their initiative. In this paper, we take the course "PHP Framework Technology" as an example to carry out "learning-centred" teaching reform and explore a teaching mode applicable to programming development courses in applied undergraduate colleges.
The impact of CHAT GPT on English online courses

This thesis aims to explore the application of GPT (Generative Pre-training Model) in English online courses. With the continuous advancement of technology, the development of artificial intelligence offers new possibilities for online education. CHAT GPT, as a powerful natural language processing model, has shown great potential in the field of English learning. This study will evaluate the practical application effect of CHAT GPT by analyzing the use scenarios, advantages and challenges of CHAT GPT in English online courses.
Common Mistakes and Countermeasures of Using Learning Material in the Project-Driven Applicational Technology Courses—Taking the Teaching of Air Conditioning Course as an Example

Project-driven teaching is an improvement of traditional teaching method based on knowledge-driven system. It emphasizes that the teaching process is driven by the implementation of the project, rather than based on traditional textbooks. Therefore, there are some disputes about how the textbook should play its role correctly in the project-based teaching. In the process of implementing project-based teaching, some views hold that since it is driven by project, it is nature to abandon the traditional textbooks; others, on the other-hand, continue to organize teaching only or at least mainly based on textbooks. The third part of people think that the project-based curriculum must have special Project-based Curriculum textbooks, so the textbook should be written as an operation manual according to the project order. The author makes a detailed analysis of the three views on the use of textbook in the project-based curriculum, and then puts forward my own views.
The Application of Long-Distance Music Education Platform in University Instrumental Music Teaching

Modern music education in colleges and universities must make full use of multimedia technology to support learning and provide students with a multimedia music world with voice and feel to learn music. However, there are still many drawbacks in music appreciation courses. One is that the way of appreciation is single and backward; On the other hand, the exchange of valuable audiovisual resources is relatively low. Through a questionnaire survey of music teachers, there is an urgent need for a music teaching auxiliary platform. With this in mind, the purpose of this article is to explore the application of a distance learning music platform in the teaching of instrumental music at the university. This article first analyzes the existing problems and shortcomings through the discussion of the current situation of music teaching at home and abroad. And made an in-depth analysis of the needs of the distance music education platform; made a detailed description of the technology required for the development of the platform; and carried out a rigorous demonstration of the design of the functional modules and user entities. Based on multi-party investigations, the development direction of the system was discussed, and the basic prototype of the platform design was finally obtained. This article uses comparative analysis and the interview method to conduct a pilot study on the research topic of this article. The study shows that compared with the traditional university mode of instrumental music teaching, university music teaching based on the distance music teaching platform studied in this article is better in many respects, in particular learning efficiency is more than 20% higher, which fully reflects this article Feasibility study.
STRATEGIC MANAGEMENT PRACTICES AND ORGANIZATIONAL PERFORMANCE: A CASE OF ETHICS AND ANTICORRUPTION COMMISSION NAIROBI HEADQUARTERS, KENYA

The capacity to implement new practices is essential for an organization to deliver improved effectiveness continuously. This study examined the strategic management effectiveness of the ethics and anti-corruption commission as an institution. The investigator's specific focus was on determining how communication, task allocation strategy, stakeholder involvement, and leadership affect organizational performance at the EACC's Nairobi headquarters. The researcher analyzed the strategic management idea using both empirical and theoretical review. This investigation employed a descriptive study approach. The whole 655-person staff of the ethics and anti-corruption commission acted as the study's population of interest and was the subject of the research. The study employed stratified random sampling approach. Data was gathered via self-administered questionnaires. The results of the study showed that a correlation existed between leadership and the dependent variable. It was reported that effectiveness and task distribution strategies were highly correlated. The report came to the conclusion that the agency collaborates with other entities such as the government and other international agencies, despite the fact that the results show that the relationship between stakeholder involvements was not substantial. The results revealed that there is a strong association between communication and organizational performance. Key Words: Communication, Task Allocation Strategy, Stakeholder Involvement, Leadership CITATION: Osoro, R., &amp; Njuguna, R. (2023). Strategic management practices and organizational performance: A case of ethics and anticorruption commission Nairobi headquarters, Kenya. The Strategic Journal of Business &amp; Change Management, 10 (1), 289 – 303.
EFFECT OF NETWORKING SKILL ON YOUTH EMPOWERMENT IN SELECTED STATES IN NORTHEAST NIGERIA

The objective of this study was to examine the effect of networking skills on youth empowerment in Bauchi, Gombe and Yobe states in Northeast, Nigeria. An explanatory survey research design was adopted for this study. The population consisted of 1,694 indigenous youth from Bauchi, Gombe and Yobe states who participated in training at the skill upgrading and vocational training center from 2017-2021. A sample size of 322 was determined using Krejcie and Morgan (1970) sample size determination table. Given the heterogeneity of the population for each state, Bowley’s sample allocation formula was applied for the determination of proportionate sample size for each state while stratified and simple random sampling techniques were adopted for selecting the study participants. The quantitative data were collected through standardized questionnaire adapted from previous related studies and analysed through descriptive statistics and path analysis. All measurement items on the adapted questionnaire were carefully reworded then subjected to the criticisms of experts in the field for content and face validity. The construct reliability and internal consistency of the instrument was determined through Cronbach’s alpha coefficient. Out of 322 copies of questionnaire administered, 305 representing 94.72 percent were returned. However, out of this number, only 289 copies of questionnaire representing 89.75% were correctly filled and thus suitable for data analysis. The results also showed that networking skills had a significant effect on youth empowerment (β=-0.894, P&gt;.001) in selected states in the Northeast, Nigeria. The paper recommends that Northeast state governments of Bauchi, Gombe and Yobe and community leaders should properly expose trainees to market-driven opportunities and forums for adequate dialogue between youths and budding/successful entrepreneurs should be organized during training periods for building embedded relationships. Keywords: Networking skill, skill acquisition, Youth empowerment, Northeast, Nigeria CITATION: Adelaiye, M. O., Achugo, E., &amp; Adetayo, H. O. (2023). Effect of networking skill on youth empowerment in selected states in northeast Nigeria. The Strategic Journal of Business &amp; Change Management, 10 (1), 190 – 203.