Editorial Preface

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Aquaculture plays a significant role in both economic development and food production. Maintaining an ecological environment with good water quality is essential to ensure the production efficiency and quality of aquaculture. Effective management of water quality can prevent abnormal conditions and contribute significantly to food security. Detecting anomalies in the aquaculture environment is crucial to ensure that the environment is maintained correctly to meet healthy and proper requirements for fish farming. This article focuses on the use of deep learning techniques to detect anomalies in water quality data in the aquaculture environment. Four deep learning anomaly detection techniques, including Autoencoder, Variational Autoencoder, Long-Short Term Memory Autoencoder, and Spectral-Residual Convolutional Neural Network, were analysed using multiple real-world sensor datasets collected from IoT aquaculture systems. Extensive experiments were conducted for temperature, dissolved oxygen, and pH parameters, and the evaluation analysis revealed that the Long-Short Term Memory Autoencoder anomaly detection method showed promising results in detecting anomalies for the temperature and oxygen datasets, while the Spectral-Residual Convolutional Neural Network demonstrated the best performance on the pH datasets.
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Anomaly Detection on Univariate Sensing Time Series Data for Smart Aquaculture Using Deep Learning

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This study investigates the effectiveness of integrating short stories with task-based learning activities in English as a foreign language (EFL) class to promote vocabulary development and motivation among L2 learners. Six short stories were selected by the participants based on their interests, pre- and post-tests were conducted to evaluate vocabulary acquisition and a questionnaire was used to gather information about the perception of task-based activities after reading short stories among students. The study involved 60 intermediate level English students at the SEEU Language Center, assigned to either the control or experimental group. The experimental group completed post-reading tasks such as keeping vocabulary notebooks, reading circle discussions, sequencing activities, plot structure understanding, and group poster presentations after reading each story. The findings suggest that the incorporating engaging reading activities had a favorable effect on language learning. The experimental group exhibited greater vocabulary acquisition and comprehension than the control group. The follow-up tasks created a sense of achievement, improved communication and interaction among the students. According to the study, including comprehensible input through extensive reading along with constructive output from task-oriented exercises can effectively promote language progress and enhance students’ motivation thus effectively facilitating language development in L2 learners.
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Exploring the Impact of Task-Based Activities on Vocabulary Acquisition and Student Attitudes Towards Reading Short Stories: A Comparison of Two Approaches

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The educational process undergoes continuous evolution each year. These methods and tools have yielded positive outcomes, complementing the modern teaching practices being implemented in post-war Kosovo. It is noteworthy that our country has dedicated special attention to the field of education, actively seeking the best teaching methods that effectively bridge theory and practice. Consequently, the purpose of this research is to analyze the influence of auditory tools on the recognition of new vocabulary during English language classes. Additionally, this paper sheds light on the impact of auditory tools in motivating students to enhance their English vocabulary. This small-scale research employed both qualitative and quantitative methods. The qualitative approach involved ten English language teachers, while the quantitative method encompassed one hundred students. The Likert scale was utilized, consisting of ten questions, to gather responses from fifth-grade students. The researcher aimed to include both high and low English proficiency students to obtain a comprehensive understanding of the results regarding the use of auditory tools for English vocabulary acquisition. In conclusion, the final results indicate that English teachers utilize auditory tools to teach English vocabulary to a certain extent, highlighting the need for increased investment in supplying the targeted schools with such tools.
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The Influence of Auditory Tools on the Recognition of New Words in the Subject of the English Language

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Knowing that language is often used as a classifier of human intelligence and the development of systems that understand human language remains a challenge all the time (Kryeziu &amp; Shehu, 2022). Natural Language Processing is a very active field of study, where transformers have a key role. Transformers function based on neural networks and they are increasingly showing promising results. One of the first major contributions to transfer learning in Natural Language Processing was the use of pre-trained word embeddings in 2010 (Joseph, Lev, &amp; Yoshua, 2010). Pre-trained models like ELMo (Matthew, et al., 2018) and BERT (Delvin, et al., 2019) are trained on large corpora of unlabeled text and as a result learning from text representations has achieved good performance on many of the underlying tasks on datasets from different domains. Pre-training in the language model has proven that there has been an improvement in some aspects of natural language processing, based on the paper (Dai &amp; Le, 2015). In present paper, we will pre-train BERT on the task of Masked Language Modeling (MLM) with the Albanian language dataset (alb_dataset) that we have created for this purpose (Kryeziu et al., 2022). We will compare two approaches: training of BERT using the available OSCAR dataset and using our alb_dataset that we have collected. The paper shows some discrepancies during training, especially while evaluating the performance of the model.
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Pre-Training MLM Using Bert for the Albanian Language

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The phenomenon of domestic violence is as old as humanity itself, but legal protection against violence both internationally and nationally begins to be provided very late. In the Republic of North Macedonia, until 2004, there was no legal protection of victims of domestic violence, nor was adequate sanctioning of perpetrators. Only since 2004, with the amendments and additions to the Criminal Code in the criminal sphere, and the Law on the Family in the civil sphere, the phenomenon of domestic violence began to receive due legal attention, with the application of provisions for the sanctioning of perpetrators and temporary measures protection for victims.
The adoption of the Istanbul Convention (The Council of Europe Convention on Preventing and Combating Violence against Women and Domestic Violence) and its ratification in 2018 undoubtedly contributed to the Republic of North Macedonia undertaking a series of reforms in the field of domestic violence. So initially, in 2021, the new Law on domestic violence was adopted in harmony with the principles of the Istanbul Convention, whereas in 2023 the Law on the amendment of the Criminal Code was adopted. This law focused on changes in criminal offenses related to domestic violence and gender-based violation, as well as the incorporation of new criminal offenses in this regard.
These legislative reforms, especially the amendments approved in February 2023 which are of particular importance in the prevention and fight against domestic violence and violence against women in the Republic of North Macedonia are the focus of this research. Here we have analyzed and commented the approved changes to the Criminal Code of RNM.
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Domestic Violence Legislation Reforms in the Republic of North Macedonia

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The purpose of this study was to explore teachers’ beliefs about multilingualism at universities in North Macedonia. Multilingualism as a concept is related to an individual’s ability to speak three or more languages. Given the educational and cultural globalization, multilingualism is crucial in many countries in the world. North Macedonia is an excellent example of multilingualism where different cultures live together and learn the languages of each other.
At Universities across the country, teachers face different challenges while teaching multilingual classes. Linguistic competence in many local languages allows students to learn foreign languages easily and thus raises students’ global awareness and deepens knowledge about their future teaching career.
The study analysed data collected from thirty EFL teachers from four different universities, Southeast European University, University of Tetova, Mother Teresa University and International Balkan University in North Macedonia. The research instrument used was the teacher survey which contained five domains: Teachers’ perspective on multilingualism; Students’ language learning knowledge; Language teacher collaboration; Learning materials, and other topics related to L2 learning and teaching.
The study results revealed that teachers view multilingualism as a positive asset for the students, and they expressed that they have developed an approach which helps multilinguals to achieve their learning goals. One area which needs improvement is teacher collaboration, as they tend to collaborate regarding materials and textbooks, however, not willing to share their experience on teaching methods/strategies and challenges faced.
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Full Professor, Faculty of Languages, Cultures and Communication South East European University

Faculty of Languages, Cultures and Communication South East European University

High Lecotr, Language Centre South East European University

Teachers’ Beliefs About Multilingualism at Universities in North Macedonia

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The research paper elaborates on the main concepts and terminology of strategic planning in education, including all the steps of building a strategic plan with mission and vision statements. Furthermore, it analyses and compares some successful strategic planning case studies in education by identifying the strengths and some weaknesses. The final results of this inquiry serve as recommendations for positive changes and reforms in North Macedonian education.
Furthermore, this research paper emphasizes the importance of the SMART strategic goals for improving education, articulated via the mission and vision statements. It is quite interesting that internationally accredited educational organizations like NOVA IS of Skopje have more successful improvement plans based on shared values and goals via their mission and vision. The implementation of their strategic plans is closely monitored and evaluated. Moreover, some successful educational reforms happened in Finland, Singapore, and Victoria, Australia, and their ministries of education are dedicated and accountable to aligning their mission and vision with all public schools in these countries. On the contrary, although the Ministry of Education of North Macedonia has clearly published the mission and vision statements, there is still a huge gap in the reality of implementation of those in all public schools, and rarely any school has a shared mission and vision on their web page. Browsing around, one primary school in North Macedonia, “Jan Amos Komenski” has recently started sharing their school’s mission and vision, values, and goals with the community which is a positive change toward SMART reforms. Strategic planning affects the improvement of learning and teaching; therefore it needs to be built inclusively and wisely.
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The Role of Strategic Planning in Ensuring the Success of Education

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Education, innovation, the labour force, and new businesses are considered the key important sectors (factors) for developed and emerging economies. The paper analyses are performed by using the Cobb Douglas production function for analysing the impact and correlation of these factors (variables) on the economic growth of Kosova during the period 2013 - 2021. The variables of public expenditures on education as a percentage of GDP and the labour force have shown a negative impact on growth and they have operated under decreasing returns to scale (based on the Cobb-Douglas function), while the variables of information, computer and telecommunication services (which refer to innovation technology) and new business creation have indicated a positive impact on growth and they have operated under increasing returns to scale (based on the Cobb-Douglas function). In addition, this paper summarized a few useful conclusions: first, public expenditure on education should provide an important contribution on growth; second, enhancing the role of education to improve and develop new knowledge for the labour force in Kosova, and at the same time, to adapt with new labour market demand; third, information, computer and telecommunication is one of the leading export sectors and this sector should provide higher potential and contributions on the economic growth of Kosova; fourth, new businesses creation should provide a significant contribution to increase economic growth. These variables in many countries have made a key value contribution to the economy by driving it toward sustainability, development, and growth.
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University of Prishtinë, Kosovë; MBA, Faculty of Business, Education and Law Staffordshire University

An Analysis of Important Sectors in Economic Growth. Case Study for Kosova

AHEAD OF PRINT

Volume 18 (2023): Issue 2 (December 2023)

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SEEU Review

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