bluuebunny/crossref_metadata_2025 huggingface dataset:
The Use of Generative AI to Support Inclusivity and Design Deliberation for Online Instruction
Authors: Stefaniak Jill , Moore Stephanie
Published: September 2024

Generative AI presents significant opportunities for instructional designers to revolutionize content creation and personalization in online learning environments. This paper explores how generative AI can streamline content generation processes, enhance adaptability to individual learner needs, and improve feedback mechanisms, ultimately fostering more engaging and inclusive learning experiences. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires a deliberate approach to design deliberation, that involves careful analysis, discussion, and decision-making throughout the design process. This paper proposes a conceptual framework to support instructional designers in leveraging generative AI to promote inclusivity within their design deliberations, emphasizing the importance of addressing ethical considerations and engaging in iterative design practices.
Exploring the Utility of ChatGPT for Self-directed Online Language Learning
Authors: Li Zixi , Wang Chaoran , Bonk Curtis
Published: September 2024

As generative AI tools are increasingly popular in today’s teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This study employed a mixed-method design to understand how people self-direct their online language learning through the utilization of ChatGPT. Analyzing survey data from 276 survey respondents and 11 one-to-one interviews with language learners in the United States, we found that learners are motivated to use generative AI for its high flexibility and personalization which enables learners to access learning materials that align with their knowledge levels, personal interests, and learning goals. We also found self-monitoring skills that are inherent to learners help them to use ChatGPT more efficiently and achieve their learning goals efficiently. This study contributes to the emerging field of AI in education and explores possibilities to use ChatGPT to foster self-directed language learning and provide educators, instructional designers, and researchers with insights to design learning integrated with AI to best fulfill learners’ diverse needs and expand learning opportunities to more people.
Development and Validation of the Pre-Service Teacher Online Teaching Motivation Scale (PST-OTMS)
Authors: Bennett Luke , Smart Julie , Wiles Daphne , Morrison Anna , Zhang Zhuo , Bowman Alexander , Maeda Yukiko , Doane Braiden
Published: September 2024

The purpose of the current study was to develop and validate the Pre-Service Teacher Online Teaching Motivation Scale (PST-OTMS), a survey instrument designed to reliably measure motivational constructs related to online teaching and learning in pre-service teachers. Due to increasing opportunities to teach within online learning contexts where challenges were magnified during the COVID-19 pandemic, a reliable and valid instrument is needed to measure such motivational constructs. The Pre-Service Teacher Online Teaching Motivation Survey (PST-OTMS) underwent a thorough validation process resulting in a 31-item survey aimed at assessing pre-service teacher motivation for online teaching across four dimensions: (1) pre-service teacher self-efficacy for online teaching, (2) pre-service teacher perceptions of online teaching and learning, (3) online teaching professionalism, and (4) pre-service teacher anticipated administrative support for online teaching. The PST-OTMS demonstrated strong reliability and validity within the research context. Future research aims to widely administer the PST-OTMS to explore reliability and validity within additional settings and with a more diverse demographic.
The Anticipated Impact of Artificial Intelligence on Higher Education
Authors: Johnson Nicole , Seaman Jeff , Seaman Julia
Published: September 2024

Since the rise of generative AI (GenAI) in late 2022, many scholars and thought leaders have wondered about its impact on higher education. This study used a survey methodology (three multiple choice questions and one open-ended question) to explore the perspectives of a nationally representative sample of 1327 US administrators and faculty, asking questions to understand how much change they anticipate as a result of advancements in artificial intelligence (AI) technology, how prepared their institution is for such change, and what aspects of higher education they expect to change. The researchers used Kranzberg’s laws of technology as a lens to interpret the findings and guide the subsequent discussion about how AI might impact higher education. The findings showed that the vast majority of participants expect that AI will change their institution over the next five years and that the majority of participants do not feel that their institution is ready for change. The comments left in response to the open-ended questions fell into one of four themes: concerns about academic integrity and rigor, issues related to AI integration (e.g., anticipated benefits, practices in teaching and learning, issues related to preparedness, and the expected scope of change), the feeling that the current AI discourse is merely hype, and feelings of uncertainty. Ultimately, AI has the potential to be both advantageous and disadvantageous to teaching and learning, with the benefits and challenges of its use varying by context.
О происхождении психики
Authors: Аширбеков Бахытжан
Published: September 2024

Вопрос о происхождении психики — это один из фундаментальных вопросов в психологии и биологии. Ответ на него неразрывно связан с пониманием того, что такое вообще психика.
Цель этой статьи — ответить на вопрос, когда и как в ходе эволюции появилась психика, и тем самым прояснить понятие психики.
Психикой обладают не все живые организмы, этот способ взаимодействия с внешним миром появляется на определенном этапе эволюции и обеспечивается нервной системой, достигшей необходимого уровня сложности. Психика впервые в природе появляется вместе с возникновением чувствительности (в виде ощущений). Ощущения есть психический процесс установления условных связей между безусловным и условным раздражителями. На физиологическом уровне условные связи обеспечиваются условными рефлексами. Условные рефлексы требуют наличия нервной системы определенной степени развития. Самые ранние животные с нервной системой, удовлетворяющей минимальным требованиям, — это, видимо, плоские черви. С этих организмов можно вести точку отсчета появления психики в эволюционной лестнице.
Психика есть этап на биологическом эволюционном пути развития форм отражения и взаимодействия, используемых организмами. Рассмотрение природы психики в совокупности с данными биологии позволяет более четко очертить ее границы, понять ее суть и описать ее возникновение.
COVID-19: Experiences and strategies of secondary school counsellors in the 2021 Auckland lockdown.
Authors: Hyeeun Kim , Kim James , Khaleghian Elahe , McKay Paumea
Published: September 2024

This article reports the findings from a facilitated peer group discussion among secondary school counsellors on 4 October 2021 during the most prolonged lockdown in Auckland since the worldwide COVID-19 outbreak. With the first author as facilitator, four participants (co-authors of this paper) discussed the psychosocial effect of the lockdown on the wellbeing of secondary school students. These included increased anxiety and constant low mood, issues related to Information and Communication Technology (ICT) and the use of devices for education and communication, complex dynamics at home, and the different challenges and demands on counsellors that resulted from these effects. The participants also shared counselling strategies they had used in lockdown to work as effectively as possible for their clients. These included intentional therapeutic approaches that were flexible and creative, resilience building, and collaboration with the wider community of care. The counsellors also reflected on their selfcare strategies to prevent burnout and the silver linings they perceived from COVID-19.
Counselling Korean migrants in New Zealand.
Authors: Kim Hyeeun
Published: September 2024

This article focuses on Korean migrants who are living in multi-generational and multi-cultural households and their family dynamics. It aims to offer insights for counsellors working with those who have come to New Zealand relatively recently. Informed by qualitative research into the experiences of 1.5-generation Korean-New Zealanders, the article examines their coping strategies as children and their decision-making processes as parents. Some cultural aspects to consider in counselling practice are discussed: multiple cultures within the household, cultural reasons behind clients' decisions, counsellors' critical role with children and adolescents, recognising strengths as well as anxiety, distinctive gender roles in family dynamics, support for transnational families, improvement in communication skills, and considerations for the wellbeing of older migrants and their grandchildren. Recommendations for counsellors are offered based on the research and the author's experiences as a Korean counsellor.
Performance Analysis of Deep Learning based Signal Constellation Identification Algorithms for Underwater Acoustic Communications
Authors: Abdelkareem A.E.
Published: September 2024

This research delves into the evaluation of Deep learning signal constellation identification (DL-SCI) algorithms in underwater acoustic communications using Orthogonal Frequency Division Multiplexing (OFDM). It distinctly examines at how effective the recurrent neural networks (RNNs), particularly, Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM) algorithms in predicting the signal constellation when applied to different underwater acoustic channels characteristics. Unlike manual feature selection in machine learning (ML), in this paper, DL-SCI exploits the labelled OFDM signals at the transmitter to detect and decode them at the receiver. In order to measure their effectiveness performance metrics, Bit Error Rate (BER) and parameters derived from the confusion matrix such as accuracy and precision are used. The study highlights the importance of utilizing zero cyclic prefix techniques which can exploit the inherent bandwidth limitation effectively. Furthermore, when examining complexity, it is observed that both GRU and LSTM algorithms require less floating-point operations (FLOPS) compared to traditional methods such as Minimum Mean Square Error (MMSE) and Least Squares (LS). Interestingly GRU shows performance in terms of complexity when compared to LSTM. Moreover, GRU outperforms LSTM by achieving a 4 dB improvement for long subcarriers. These results emphasize the effectiveness of learning techniques in enhancing performance and efficiency in acoustic communications.
Pengaruh Penerapan Model Pembelajaran Cooperative Type Quick on The Draw terhadap Hasil Belajar Bahasa Arab Peserta Didik Kelas VII MTs Hj. Haniah Maros
Authors: Ahmad Ahmad Munawwir , Aisyah St.
Published: August 2024

Penelitian ini bertujuan untuk mengetahui: 1) Untuk mengetahui pengaruh hasil belajar bahasa Arab peserta didik kelas VII MTs Hj. Haniah sebelum penerapan model pembelajaran Cooperatif Type Quick On The Draw, 2) Untuk mengetahui pengaruh hasil belajar bahasa Arab peserta didik kelas VII MTs Hj. Haniah setelah penerapan model pembelajaran Cooperative Type Quick On The Draw, 3) Untuk mengetahui seberapa besar pengaruh model pembelajaran Cooperative Type Quick on The Draw terhadap hasil belajar bahasa Arab peserta didik kelas VII MTs Hj. Haniah Maros. Penelitian ini merupakan penelitian kuantitatif pre-eksperimental design dengan jenis desain one group pretest-posttest design yang merupakan desain penelitian yang menggunakan satu kelompok tanpa adanya kelompok pembanding. Data yang dikumpulkan kemudian diolah dengan menggunakan analisis statistik deskriptif dan analisis statistik inferensial. Hasil analisis statistik deskriptif hasil belajar peserta didik sebelum mendapatkan perlakuan menunjukkan skor maksimum yakni 80 dan skor minimum 45, dengan nilai rata-rata hasil belajar yang didapat adalah 59,70. Sedangkan hasil belajar peserta didik setelah mendapatkan perlakuan menunjukkan skor maksimum 90 dan skor minimum 55 dengan nilai rata-rata hasil belajar yang didapat yakni 76,50. Statistik Inferensial menggunakan aplikasi IBM SPSS versi 29 diperoleh nilai signifikan dengan uji hipotesis dan uji paired sample test mendapatkan nilai sig. 0,001 sehingga nilai sig. lebih kecil dari 0,05 (0,001 < 0,05). Maka Ho ditolak dan Hi diterima dengan tingkat kepercayaan 95%. Hal ini menunjukkan bahwa adanya pengaruh penerapan model pembelajaran Cooperatife Type Quick On The Draw efekt terhadap hasil belajar peserta didik kelas VII MTs Hj. Haniah
Pengembangan Media Pembelajaran Bahasa Arab Berbasis Video Animasi Bagi Siswa Kelas VII Pondok Pesantren Darul Ishlah Bulukumba
Authors: Asrullah  , Muhammad Yaumi  , M. Yusuf T.
Published: August 2024

Penelitian ini membahas tentang pengembangan media pembelajaran bahasa Arab berbasis video animasi. Penelitian ini bertujuan untuk, (1) Mengembangkan media pembelajaran bahasa Arab berbasis video animasi, (2) Mengetahui kevalidan, kepraktisan dan keefektifan media pembelajaran bahasa Arab berbasis video animasi. Kegunaan penelitian ini, bagi para pengajar, tentunya pengajaran berbantuan perangkat media pembelajaran berbasis video animasi ini juga membantu dalam penyampaian dan penyajian materi yang praktis dan efektif. Jenis penelitian ini menggunakan jenis penelitian dan pengembangan (Research and Development) dengan pendekatan penelitian dan pengembangan (R&D), dimana pendekatan penelitian R&D merupakan suatu proses yang digunakan untuk mengembangkan dan menvalidasi produk-produk pendidikan. Penelitian ini mengacu pada model pengembangan ADDIE dengan 5 tahap utama yaitu: analisis, desain, pengembangan, implementasi, dan evaluasi. Pada tahap implementasi program terhadap produk pengembangan dilakukan pengujian lapangan, dalam hal ini peserta didik kelas VIII Madrasah Tsanawiyah Pondok Pesantren Darul Ishlah Bulukumba sebagai objek uji coba. Hasil penelitian menunjukkan bahwa produk media pembelajaran bahasa Arab berbasis video animasi telah diuji dan memperoleh penilaian dan validasi oleh ahli bidang masing-masing. Skor validasi yang diperoleh dari ahli materi sebesar 47 dengan kriteria kevalidan adalah sangat valid. Skor validasi yang diperoleh dari ahli media sebesar 60 dengan kriteria kevalidan adalah sangat valid. Skor validasi yang diperoleh dari ahli bahasa sebesar 27 dengan kriteria kevalidan adalah sangat valid. Pada hasil tes belajar siswa,  diperoleh nilai rata-rata siswa pada tes atau quiz yang dilakukan setelah pembelajaran menggunakan media video animasi sebesar 91,66. Maka dari hasil ini dapat disimpulkan bahwa media pembelajaran bahasa Arab berbasis video animasi berdasarkan hasil tes belajar siswa termasuk dalam kategori sangat efektif.
Efficacy of continuous employee learning and development in the South African public service between 2014 to 2023 era
Authors: Mokgolo Manasseh Morongoa , Dikotla Maoka Andries , Chigo Esther Matsetselane
Published: September 2024

Modern technologies have intensified innovations and necessitated changes in public service processes and operations. Continuous employee learning development (CELD) is one means of the molecule-atom that keep employees motivated and sustain competitiveness. The study explored the efficacy of CELD in relation to modern technology in the South African (SA) public service departments between 2014 to 2023 era. Departments are faced with challenge of equipping their employees with adequate professional and technical skills for both the present and the future in order to deliver specific government priorities. Data for the study were gathered utilizing a qualitative semi-structured e-questionnaire. The study sample consisted of 677 human capital development practitioners from national and provincial government departments in SA. The inefficacy CELD and the inadequacy of technological infrastructure and service delivery can be attributed to the failure by executive management and senior managers to invest in CELD to prepare employees for digital world. It is recommended that departments should use Ruggles’s knowledge management, Kirkpatrick’s training, and Becker and Schultz’s human capital models as sound measurement tools in order to gain a true return on investment. The study adds pragmatic insight into the value of CELD in the new technological environment in public service departments.
The influence of toxic leadership on emotional exhaust and reactive work behavior
Authors: Adytia Ismayanti , Meutia Meutia , Hanifah Imam Abu , Indriana Ina
Published: September 2024

Companies are impacted by toxic leadership phenomena, resulting in many dissatisfied employees, low morale, and reduced progress. The fundamental mismatch between good leadership and harmful actions of toxic leaders is the primary cause of the problem. Toxic leadership can also be developed from narcissistic behavior of considering personal interests or using humiliation to maintain power. In this context, employees are negatively affected, resulting in higher stress levels, poorer job satisfaction, and a significant decrease in trust. Therefore, this research aims to explore the impact of toxic leadership and other factors on companies. The sample consists of 187 senior employees in the accounting department who worked in manufacturing companies. The results showed that toxic leadership influences role stress, while role stress affects emotional exhaustion and reactive work behavior. Moreover, future research should be conducted using other samples such as hospital employees or pay attention to other aspects related to role stress.
STAFGCN:A spatial-temporal attention-based fusion graph convolution network for pedestrian trajectory prediction
Authors: Lui Guihong , Pan Chenying , Zhang Xiaoyan , Leng Qiangkui
Published: September 2024

Pedestrian trajectory prediction provides crucial data support for the development of smart cities. Existing pedestrian trajectory prediction methods often overlook the different types of pedestrian interactions and the micro-level spatial-temporal relationships when handling the interaction information in spatial dimension and temporal dimension. The model employs a spatial-temporal attention-based fusion graph convolutional framework to predict future pedestrian trajectories. For the different types of local and global relationships between pedestrians, it first employs spatial-temporal attention mechanisms to capture dependencies in pedestrian sequence data, obtaining the social interactions of pedestrians in spatial contexts and the movement trends of pedestrians over time. Subsequently, a fusion graph convolutional module merges the temporal weight matrix and the spatial weight matrix into a spatial-temporal fusion feature map. Finally, a decoder section utilizes TimeStacked Convolutional Neural Networks to predict future trajectories. The final validation on the ETH and UCY datasets yielded experimental results with an Average Displacement Error(ADE) of 0.34 and an Final Displacement Error(FDE) of 0.55. The visualization results further demonstrated the rationality of the model.
Sunflower Broomrape (Orobanche cumana Wallr.) and Weeds in Sunflower Crops with Minimized Tillage in a Steppe Ecotype Crop Rotation
Authors: Shevchenko Sergey , Derevenets-Shevchenko Kateryna , Shevchenko Mikhail , Shevchenko Oleksandr
Published: September 2024

An important reserve for increasing the productivity of agricultural production is a scientifically based crop structure and the use of rational crop rotations, which implement the optimal ratio of agroecological standards. The aim of the research was to determine the influence of elements of agrotechnical measures, in particular, the saturation of crop rotations with sunflower, soil tillage system on the number and species composition of various agrobiological groups of weeds in sunflower crops, including the weed parasite sunflower broomrape (Orobanche cumana Wallr.). Weed control measures and the spread of the parasitic weed sunflower broomrape in sunflower crops have been carried out according to the methods generally accepted in agriculture and weed science. The scheme of the experiment included crop rotations with saturation in the structure of sunflower sowing of 12.5, 20, 25, 33.3, 50, 100% and three systems of basic tillage: moldboard plowing, disc tillage, and no-tillage. As a result of the research, it has been found that the systems of disc tillage and no-tillage cause an increase in the number of weeds in sunflower crops compared to the moldboard plowing by 1.3–1.5 times. On average, over the years of research, the abundance of weeds in the plots when using disk tools was 10.4–15.1 pcs./m2, moldboard plowing was 7.1–12.4 pcs./m2, and before harvesting was 2.6–5.2 and 4.1–12.4 pcs./m2. The highest degree of sunflower broomrape damage has been observed in 2-fields crop rotation (winter wheat—sunflower) and permanent sunflower cultivation, as 16.0–32.4% of affected sunflower plants have been observed here. The intensity of sunflower broomrape damage to sunflower plants was higher in the moldboard plowing system and amounted to 1.2–8.3 pcs./per plant, which exceeded disc tillage and no-tillage by 1.2–1.6 times. The maximum seed yield of 2.92–2.95 t/ha has been obtained in 8- and 5-fields rotations with the use of moldboard plowing. The lowest yields of sunflower seeds were in short-rotation crop rotations with a sunflower saturation of 50% in the structure of sown areas and permanent cultivation and amounted to: moldboard plowing—1.75–2.21 t/ha, disk tillage—1.57–2.01 t/ha, and no-tillage—1.49–1.95 t/ha. Given the urgency of supplying the global market with sunflower oil, in the future it is necessary to increase the concentration of sunflower in the structure of sown areas to 30-40% through the system of basic tillage, selection of resistant hybrids, and use of herbicides.
Geographic Information Systems for Water Quality Modeling in the Zhytomyr District Communities
Authors: Valerko Ruslana , Herasymchuk Liudmyla , Kratiuk Oleksandr
Published: September 2024

To ensure safe and quality drinking water for residents of rural settlements who use their own wells, boreholes, and natural sources for domestic water supply, a comprehensive approach to evaluating the quality of underground drinking water using geographic information system (GIS) technologies is necessary. The purpose of the study was to assess the quality of drinking water sources of noncentralized water supply in rural settlements of the united territorial communities (UTCs) of Zhytomyr district and to create geoinformation models based on the research results. The following research methods were used during the research: analytical, field, laboratory, statistical, calculation, and cartographic. The research was conducted in 129 settlements of 12 UTCs of Zhytomyr district, where drinking water samples were collected from noncentralized water supply sources for further analysis in the Measurement Laboratory of Polissia National University, and the creation of geoinformation models using the ArcGIS Pro software package. It has been proven that the average pH level in none of the studied settlements exceeded the norm. The average nitrate concentration in the drinking water from noncentralized water sources exceeded the norm by 1.4–3.5 times, specifically in the water of the Pulyny, Cherniakhiv, Vilshanka, Volytsia, and Oliivka communities, exceeding the maximum acceptable concentration (MAC) limit by more than two times. Only in rural settlements in the Liubar community was the average iron content found to be above the norm by more than 1.9 times. Overall, it was established that the calculated value of the overall water quality class in the Zhytomyr district was 2.03, which is determined as “good,” clean water of acceptable quality. The best water quality was found in the Vilshanka, Cherniakhiv, and Stanyshivka communities, with a quality class range of 1.85–1.93, while the worst water quality was recorded in the Oliivka, Teterivka, and Liubar communities, with a quality class range of 2.13–2.31. It was determined that the highest contribution to the overall water quality was made by nitrate and iron content. The obtained research results and models based on them can be used by local governments of the studied communities to inform the population about the quality of drinking water and to develop a plan for improving the state of drinking water supply with the aim of increasing the level of environmental safety of drinking water.
State of the Art, Reliable, and Trusted Communication in Vehicle to Everything (V2X) Networks
Authors: Ali Wajid , Ninoria Shalini Z. , Khan Gulista , Gola Kamal Kumar
Published: September 2024

Transportation systems are a necessity of modern life. To achieve safe and fast transportation, the intelligent transportation system is being developed. In this system, the main base station facilitates communication between vehicles and all other roadside entities using vehicle to everything networks. Various technologies have been built to support this communication. After receiving the information, vehicles can make their own decisions. This data communication is done in real time. But, if any of these data packets are dropped, the vehicle will make inaccurate decisions, so we need to have reliable data communication. All data communication will be accomplished through a system of neighboring nodes. There may be some malfunctioning nodes that lose packets in between, so a trusted and reliable link is necessary for efficient and secure data communication among the nodes. This paper presents a survey of various algorithms designed for the reliable delivery of data packets, algorithms for secure data transfer, and various types of attacks. After that, various schemes for building trust in parties sending data packets if also presented for survey.
Vulnerability and Resilience of Slovak Municipalities in the Era of Austerity
Authors: Malicka Lenka , Vancová Jana , Hadačová Daniela
Published: September 2024

The consequences of periods of austerity, generally connected with economic crises, are not only reflected in the financial performance of local governments but also in the range in which they can face shocks. Monitoring the vulnerability and resilience associated with these shocks and the subsequent impacts on the financial situation of Slovak municipalities points to financial resilience, the ability to be proactive or, on the contrary, to be passive as a reaction to evolving environmental conditions. The paper examines the ability of 2,923 Slovak municipalities in the period 2005 - 2022, according to their size categories, to respond to periods of austerity in the economic reality of the Slovak Republic: The Global Financial Crisis from 2009 and the recent ongoing economic crisis arising from the crisis COVID-19, the subsequent military crisis in Ukraine, and the related energy crisis (multi-crisis). The resilience and vulnerability of Slovak municipalities, considering the size categories, are measured by employing a primary dispersion measure as the standard deviation of six financial indicators mirroring the local government’s performance in the form of indexes linked to 2005. The results confirm the vulnerability of Slovak local governments in considered eras of austerity with relevant recovery periods, demonstrating a considerable degree of resilience. Besides, we reveal other structural breaks in the monitored period, which influenced the economic circumstances of Slovak municipalities, too.
Cross-Organisational Collaboration Management of Digital Innovation in the Public Sector - The Case of the Estonian Employment Register
Authors: Nommik Steven
Published: September 2024

Cross-organisational collaboration management has been an important topic in academic literature, representing the nexus of modern governance arrangements. Organisational boundaries are becoming increasingly blurry with continuous digitalisation through new interaction patterns, resulting in the proliferation of cross- organisational collaborations across sectors and within the public sector. This study contributes to the existing literature by analysing cross-organisational collaboration management within the public sector through the case of the Estonian Employment Register. The author conducted semi-structured interviews with engaged stakeholders and coded the data with a concept-driven and data-driven coding scheme for the analysis. The interviews were analysed for occurrences and co-occurrences. The case highlights the role of system context (pre-established connections, decentralisation, digital infrastructure), process challenges (differences in perspectives, organisation-centric approach, power imbalances) and management interventions (contingent leadership, shifting roles, trilateral connections) for cross-organisational collaborations. The findings demonstrate the importance of pre-existing informal connections in shaping the available alternatives for instruments. Digitally capable agencies can capitalise on opportunities for digital innovation through their technological capability and reputation. The key challenges remain with expanding the cognitive framework beyond the established interaction arenas to adapt to perspectives beyond the initial networks. The ability to maximise the potential of digital innovation is also contingent on designing compatible human interaction processes to manage machine interactions.
A broken mirror? From representation to presentation of gender in Scandinavian news media
Authors: Kjeldsen Anna Karina , Schmeltz Line , Simonsen Jacob V.
Published: September 2024

Across Scandinavia, one can witness a situation where gender equality has previously been at the forefront of the political and societal agenda, but where progress now seems to be slowing down. The news media is a domain where this negative development is particularly pronounced, and several studies have established that the Scandinavian news media display a more unequal gender representation than the society they supposedly mirror. In this article, we report on an ongoing cross-Scandinavian research project on news media content, where we explore not only the traditional metrics of how many men and women are in the news, but also, more importantly, how women and men are portrayed in news media content. The study demonstrates significant gender discrepancies, echoing findings from previous studies on the quantitative representation of women and men, and, more importantly, it introduces presentation as an additional qualitative metric. Consequently, we contribute with an analytical framework involving a range of qualitative parameters through which the news media industry can comprehensively evaluate gender equality within their content.
Expressions of a backlash: Challenging the story of success in Norwegian cinema of the 1980s and 1990s
Authors: Fosheim Lund Maria , Kielland Servoll Johanne , Holtar Ingrid Synneva
Published: September 2024

In this article, we ask if there was a backlash against film feminism in Norway in the 1980s. In Norwegian film history, this decade is known as “the helicopter period” and is associated with a turn towards commercial genre film and classical dramaturgy. This has usually been narrated as a success story for Norwegian cinema. It is, however, also a decade connected to a loss of position for the women directors who had gained a footing in Norwegian cinema in the 1970s. We thus question the idea of progress associated with this decade in film history and propose avenues of investigation. We explore the loss of position of female directors by looking at film reception and film criticism. We further present and discuss a numerical breakdown of women directors and female lead characters in the 1980s and 1990s and point to thematic readings of the on-screen portrayal of women characters in this time span. We find evidence of aggression towards women and a disappearance of women’s film and argue that this points to an anti-feminist pushback in Norwegian cinema of the 1980s and 1990s.
Understanding the current backlash against LGBTIQ+ rights through the lens of heteroactivism: A case study of the International Organization for the Family’s transnational norm diffusion on Twitter
Authors: Strand Cecilia , Eriksson Åsa , Svensson Jakob
Published: September 2024

A new generation of transnational anti-gender actors are framing themselves as human rights champions and protectors of the rights of the “natural family”. To better understand these actors’ norm diffusion, including their re-styling of anti-gender narratives in contemporary iterations of heteroactivism and its potential threat to LGBTIQ+ rights, in this article we analyse the social media tactics of a key transnational anti-gender actor: the International Organization for the Family (IOF). The analysis is focused on the organisation’s Twitter (now X) account and we draw on theories of network media logic, connective action, and connective emotions. Two periods of activism – the first a low-intensity period in 2021 and the second a high-intensity period in 2022 – were purposefully selected for the analysis. In this article, we identify differences between the two periods, noting that the period covering the flagship event, the World Congress of Families (WCF) in 2022, was markedly less LGBTIQ-hostile and adversarial than the first period. IOF thus appears to be inspired by heteroactivist frames during the WCF and abides by logic that should trigger user interaction and content spreading. The lack of interactions and engagement with IOF Twitter content in either period indicates the need for more research on which logics apply to anti-gender audiences. We discuss the findings and what they may imply in a context like Sweden, a country whose self-image as a global champion for women’s and LGBTIQ+ rights may make it ill-equipped to counter the onslaught of transnational actors’ norm entrepreneurial activities.
Designing a Fertilizing Robot Application Considering Energy Efficiency
Authors: Olt Jüri , Liivapuu Olga , Virro Indrek , Lillerand Tormi
Published: September 2024

Electrically driven agricultural robots encounter accelerated battery depletion compared to vehicles operating on asphalt due to heightened rolling and traction resistance necessitating increased energy consumption. This issue becomes pronounced in regions devoid of access to the electrical grid, precluding the possibility of recharging electrically driven agricultural robots and consequently leading to interruptions in their uninterrupted functionality. To address this challenge, the agrorobotics working group at the Estonian University of Life Sciences devised a novel solution: a combined energy production station leveraging biogas, hydrogen, and solar energy. This station was integrated with a prototype autonomous fertilizing robot tailored for blueberry plantations to conduct precision fertilization on depleted milled peat fields. Distinctive features of the station encompass an automated battery exchange system and an electric generator equipped with a membrane motor. These components, in conjunction with a solar energy and electric generator control system, alongside a battery charger, are affixed onto a mobile platform. The primary objective of this study was to ascertain the energy requisites of an autonomous fertilizing robot during field traversal and while executing technological operations. To achieve this aim, the mechanical power and energy necessary for the operation of the robot fertilizer spreader were initially quantified. Subsequently, an accumulator possessing suitable power and capacity for the operation of the robot fertilizer spreader was chosen. The article further delineates the determination of the travel distance achievable by the robot on a single charge of the selected accumulator, in addition to evaluating the traction power efficiency and specific power.
Negosiasi Identitas Budaya Jawa pada Penerjemahan Deiksis Sosial dari Novel Rumah Kaca ke dalam Bahasa Prancis
Authors: Rahmadhani Rizky Kurnia , Sajarwa Sajarwa
Published: September 2024

Cultural identity negotitations are proven to occur in translation because translation is a form of cross-culture communication. The pupose of this research is to explore the negotiation of Javanese cultural identity through translating social deixis in French based on form, meaning and function. Under the descriptive-qualitative method, this research attempts to explore in-depth knowledge about the research object. The comparative method is used to find similarities and differences in the form, meaning and function of social deixis from the novel Rumah Kaca (1988) and its translation in French from the novel La Maison de Verre (2018). Negotiation of Javanese cultural identity can take the form of partial negotiations and full negotiations. The causes of negotiation are differences in language systems, prioritizing equivalence of social deixis function, and differences in cultural perspective. These causes have some impacts for equivalence, namely: partial equivalence and distortion of meaning.
Authors: Arsianto Muhammad Alif Rahmat Novian , Rahani Faisal Fajri
Published: September 2024

Kendaraan pribadi merupakan properti yang penting sebagai sarana untuk melakukan kegiatan sehari-hari seperti bekerja, mudik,  dan berbelanja. Calon pembeli kendaraan umumnya mengalami kesulitan terkait harga dan kondisi kendaraan. Calon pembeli terkadang bingung mulai mencari informasi yang mana terlebih dulu. Teknologi jaman sekarang  dapat digunakan untuk membantu menyelesaikan masalah tersebut diantaranya dengan membangun aplikasi chatbot yang menerapkan kecerdasan buatan. Penelitian ini menggunakan 235 data mobil bekas pada tahun 2020 menggunakan beberapa variabel, yaitu nama kendaraan, tahun, bahan bakar, transmisi, jarak tempuh, kapasitas mesin, dan harga. Implementasi Natural language programming dengan algoritma levenshtein distance dilakukan secara bertahap dari pembersihan data, seleksi data, transformasi data, pengelompokan pertanyaan, penerapan serta hasil algoritma levenshtein distance, dan pengujian sistem. Hasil dari sistem pencarian mobil bekas ini diharapkan dapat dimanfaatkan oleh calon pembeli kendaraan. Nilai akurasi metode ini mencapai 69% dengan jumlah 40 kelas pertanyaan dari 2050 data.
Authors: Putra Fathiyarizq Mahendra , Hardjita Pahlevi Wahyu , Tyas Dyah Aruming
Published: September 2024

Sentiment analysis is a combination of various research fields like NLP (natural language processing), data mining, and text mining to find people's opinions expressed in text form. There are several tasks in sentiment analysis like as sentiment extraction, sentiment classification, and summarization. There are several challenges in carrying out sentiment analysis including synonyms and polysemy, sarcasm, compound sentences, and unstructured data. The purpose of this writing is to review other research on Sentiment Analysis based on datasets, feature selection, and classification algorithms as well as the use of multilabel sentiment analysis, as well as evaluation of accuracy results, to get the best approach to the selection of methods used in mining processing.
Classification of Indonesian Online News Topics Using Text Mining
Authors: Brahmantha Gede Putra Aditya , Utami Ema , Yaqin Ainul
Published: September 2024

Online news is in great demand by many people along with the rapid development of information technology. It needs to develop a system that can automatically classify news according to news categories using text mining method. In this research, the methods used in the classification are K-Nearest Neighbor. News classification is done to classify news into 4 categories, namely automotive, technology, money and food. Each topic contains 300 news data. Before the classification began, data in the form of texts will first be carried out in the preprocessing stage and weighted using TF-IDF. Based on the evaluation using the confusion matrix with the division of the dataset into 960 training data and 240 test data, with the value of k=7 it obtained accuracy of 93.75%, Precision of 94.09%, Recall of 93.56%, and F1-Score of 93.71%.
Balancing Dataset Untuk Klasifikasi Komentar Program Kampus Merdeka Menggunakan Synonym Replacement
Authors: Nifanto Soleh
Published: September 2024

Klasifikasi komentar dalam program Kampus Merdeka merupakan langkah penting dalam menganalisis sentimen pengguna terhadap berbagai fitur dan layanan yang ditawarkan oleh program tersebut. Namun demikian pada dataset yang diolah dalam penelitian ini, terdapat masalah yang dihadapi yaitu ketidakseimbangan jumlah data pada masing-masing kelas. Rasio ketidakseimbangan pada dataset tersebut cukup tinggi yaitu sebesar 5:1. Ketidakseimbangan ini umumnya mengakibatkan model klasifikasi cenderung memprioritaskan kelas mayoritas dan menghasilkan kinerja yang rendah pada kelas minoritas. Oleh karena itu, suatu pendekatan augmentasi data digunakan dalam penelitian ini dengan metode Synonym Replacement untuk menghasilkan variasi data dalam kelas minoritas, sehingga mengurangi ketidakseimbangan dan meningkatkan kinerja klasifikasi. Metode ini memanfaatkan teknik penggantian sinonim dalam kalimat-kalimat pada komentar dengan harapan dapat memperkaya dataset dan meningkatkan representasi fitur. Hasil dari penelitian menunjukan peningkatan nilai F-Measure dari 0,6672 menjadi 0,7875. Evaluasi menggunakan ROC menunjukan nilai maksimum sebesar 0,96. Sedangkan kelas yang tidak mendapatkan augmentasi memiliki kecenderungan nilai ROC yang rendah di antara 0,81 sampai 0,88.
Representasi Gaman pada Tokoh Kudou Chika dalam Anime Kono Oto Tomare
Authors: Khoirunnisa Rafelia Anggita , Lusiana Yusida , Puspitasari Diana
Published: September 2024

This research was conducted to determine the representation of gaman in the character Kudou Chika from the anime Kono Oto Tomare. This research is a qualitative descriptive study. The research data is in the form of scenes and dialog performed by the character Kudou Chika as a data source. The data collection methods used are library study techniques and observation and note-taking. The theory used in this research is semiotic theory by John Fiske which describes television codes through three levels, namely reality, representation, and ideology. From the results of the research, the representation of gaman is depicted through three characters owned by Kudou Chika, including persistent, patient and diligent. In addition, there are ideology of egoism and cultural nationalism in the anime Kono Oto Tomare.
Analisis Kontrastif Makna Peribahasa Jepang dan Indonesia yang Terbentuk dari Kata Uang dan Emas
Authors: Pratama Lutphia Rizki , Herniwati Herniwati , Bachri Aep Saeful
Published: September 2024

Peribahasa digunakan untuk mengungkapkan baik saran ataupun kritikan yang tidak dapat disampaikan secara lugas dengan perkataan biasa. Peribahasa biasanya menggunakan objek lain seperti binatang, tumbuhan, unsur alam, dan lainnya sebagai objek perumpamaan. Salah satu contohnya yaitu peribahasa yang menggunakan kata uang (kane) dan emas (kin) sebagai objek perumpamaannya. Tujuan penelitian ini yaitu untuk mengetahui persamaan dan perbedaan pada peribahasa Jepang dan Indonesia yang memiliki makna peribahasa dan terbentuk dari kata yang sama. Penelitian ini akan dikaji dengan menggunakan teori lingustik kognitif dan kontrastif. Metode analisis yang digunakan dalam penelitian ini adalah metode deskriptif kualitatif. Sumber data utama dalam penelitian ini adalah kamus peribahasa Jepang jitsuyou kotowaza kanyouku jiten dan kamus peribahasa Inonesia. Dari penelitian yang telah dilakukan ditemukan 2 peribahasa kane dalam bahasa Jepang yang memiliki makna peribahasa yang sama dengan peribahasa uang dalam bahasa Indonesia. Tidak ditemukan peribahasa kin yang memiliki makna yang sama dengan peribahasa emas dalam bahasa Indonesia, tetapi ditemukan 1 peribahasa kin yang memiliki makna peribahasa yang sama dengan peribahasa uang dalam bahasa Indonesia.
A Metafora pada Lirik Lagu Shinkai Karya Eve Pendekatan Teori Ullman dan Halley
Authors: Nugroho Tri Adhi Yudha , Nur Tadjuddin
Published: September 2024

This research is titled "Metaphor in Eve's Shinkai song lyrics using Ullman and Halley's theory". This research analyzes the metaphors contained in Eve's song lyrics entitled Shinkai. This research uses Ullman and Halley's metaphor theory and uses descriptive analysis method. The purpose of this study is to explain and describe the use and meaning of metaphors used by the author in the lyrics of the song he composed in this study is the lyrics again titled Shinkai. The lyrics of the song Shinkai contain metaphors that are creatively created by the songwriter and the listeners of the song try to interpret them. The result of this research is that 4 types of metaphors were found, namely anthropomorphic, abstracting, and synesthetic metaphors proposed by Ullman and terrestrial metaphors proposed by Halley. The song uses metaphors to create strong and profound imagery to describe the darkness and despair felt by the subject of the song. These metaphors help listeners to understand complex feelings through more figurative and imaginative language.
Representasi Unsur Kebudayaan Jepang pada Era Taisho dalam Anime Kimetsu no Yaiba
Authors: Wulandari Annisa Eka , Konety Neneng , Nidatya Nurfarah
Published: September 2024

Penelitian ini bertujuan menelusuri unsur-unsur kebudayaan era Taisho yang tersemat dalam anime Kimetsu no Yaiba. Peneliti menggunakan metode kualitatif dan melakukan pengumpulan data dengan teknik simak dan tinjauan pustaka terhadap beberapa artikel jurnal terkait. Teori yang digunakan dalam penelitian ini adalah teori unsur-unsur kebudayaan menurut C. Kluckhohn. Hasil penelitian menunjukkan bahwa anime Kimetsu no Yaiba yang memiliki latar waktu pada era Taisho menunjukkan unsur-unsur kebudayaan menurut C. Kluckhohn yang terdiri dari sistem teknologi dan peralatan hidup, sistem mata pencaharian, kesenian, sistem religi, sistem kekerabatan dan organisasi sosial, sistem pengetahuan, serta sistem bahasa. Unsur-unsur tersebut ditampilkan di anime ini dalam berbagai cara, misalnya melalui objek, peralatan sehari-hari, tarian, tata kota, pekerjaan, hingga pakaian. Dengan adanya unsur-unsur ini, penonton dapat menonton anime Kimetsu no Yaiba sebagai hiburan sekaligus menggali dan memahami kekayaan warisan budaya Jepang pada era Taisho.
This research is titled "Representation of Japanese Cultural Elements in the Taisho Era in the Anime Kimetsu no Yaiba" with the aim of exploring the cultural elements of the Taisho era embedded in the anime Kimetsu no Yaiba. The researcher employs a qualitative method and collects data through observation techniques and literature review of several related journal articles. The theory utilized in this research is the theory of cultural elements according to C. Kluckhohn. The findings indicate that the anime Kimetsu no Yaiba, set in the Taisho era, exhibits cultural elements according to C. Kluckhohn, which include the technological system and living equipment, livelihood system, arts, religious system, kinship system and social organization, knowledge system, and language system. These elements are portrayed in the anime in various ways, such as through objects, everyday equipment, dances, city layout, occupations, and clothing. With these elements, viewers can watch Kimetsu no Yaiba as entertainment while also exploring and understanding the richness of Japanese cultural heritage in the Taisho era.