Effective Technology Integration Research Articles

Advancing toward sustainability: The emergence of green mining technologies and practices

This study comprehensively evaluates the integration and effectiveness of green mining technologies within the mining sector, specifically focusing on mitigating the environmental impact of traditional mining practices. The primary goal is to establish a sustainable mining model that significantly reduces energy consumption and minimizes ecological disturbances. To achieve this, the study employs a mixed-method approach, integrating quantitative data analysis from monitored mining sites and qualitative insights from industry experts. Key parameters include energy consumption, greenhouse gas emissions, and reductions in chemical use. The findings reveal that effective integration of green mining technologies leads to significant reductions in greenhouse gas emissions, lower energy consumption, and improved waste management compared to traditional methods. Specifically, the use of electric vehicles and renewable energy sources in mining operations has resulted in decreased carbon emissions and energy usage across studied sites. The research concludes that green mining practices, when supported by robust technological integration and regulatory frameworks, not only enhance environmental sustainability but also boost economic efficiency within the mining industry. This study recommends increased investment in the research and development of green technologies and calls for tighter regulatory oversight to ensure the widespread adoption and optimization of these practices.

SUSTAINABLE SUPPLY CHAIN MANAGEMENT AND DISRUPTIVE THEORY: A BIBLIOMETRIC REVIEW

Sustainable Supply Chain Management stands at the forefront of contemporary business strategies. Concurrently, the emergence of Disruptive Theory has reshaped conventional notions of supply chain dynamics, introducing innovative technologies and strategies that challenge traditional practices. This study investigates the impact of disruptive technologies on Supply Chain Management within emerging economies, with a specific emphasis on the South African context. The study addresses critical gaps in the field of technological readiness, which challenge the effective integration of disruptive technologies. Using bibliometric analysis, the study evaluated the contributions of academia, industry, and government to developing disruptive theory in supply chain management in South Africa. The study found a significant increase in research activity in 2022, with 71.6% of publications focusing on disruptive theory in supply chain management. The findings highlight the need for collaboration among academia, industry, and governmental bodies to advance disruptive theory in South African supply chain management and promote sustainability. Further, it provides a foundation for further exploration and development of strategies to overcome challenges and leverage opportunities in the rapidly evolving supply chain management landscape. Future researchers may explore a deductive research approach to understand how disruptive theory applies explicitly to the unique challenges and dynamics of the South African supply chain.

Exploring pre-service primary teachers’ emotions in a geometry project with 3D design

This study explores the emotions that pre-service teachers (PSTs) experience when they interact with geometric knowledge and 3D design in a project focused on the way of Saint James pilgrimage route. The sample was made up of 101 PSTs from the University of Santiago de Compostela, the final point of the pilgrimage path. An emotional questionnaire, together with a participant observation notebook and a rubric, served as data collection instruments. The analytical frameworks included the didactical suitability criteria for mediational and affective facets, and SAMR (substitution, augmentation, modification, and redefinition) model for the effective integration of technology in schools. The results show a greater presence of pleasant emotions, highlighting the emotions of curiosity and cheerfulness. Despite this, less pleasant emotions such as brain-taster or bewilderment were notable. Pleasant emotions shown, as well, higher correlation rates. In conclusion, 3D design seems to indicate great potential for working on emotions with this group of students.

AI in education: Comparative perspectives from STEM and Non-STEM instructors

The integration of artificial intelligence into education has emerged as a promising avenue for enriching teaching and learning experiences. Nevertheless, the successful implementation of artificial intelligence in educational contexts hinges upon various factors, one of which is the perspective of instructors. With this in mind, this study aimed to examine the perspectives of 536 instructors in STEM and non-STEM disciplines regarding AI integration. The respondents’ thoughts, opinions, and concerns regarding advantages, disadvantages and challenges were gathered through an online questionnaire featuring both closed and open-ended questions. Additionally, a series of semi-structured interview sessions were conducted with a cohort of instructors to collect qualitative and quantitative data. The findings revealed that both STEM and non-STEM instructors expressed positive attitudes toward the integration of AI technologies into education. However, notable differences in responses and concerns were also identified in relation to the perceived capabilities and limitations of AI technologies within educational contexts. The results further elucidated a spectrum of opinions on the benefits (e.g., scalability and tirelessness), drawbacks (e.g., deepfake technology and comfort-seeking behavior), and potential challenges (e.g., educational disillusionment and espionage) associated with AI integration. The study concluded by discussing the implications of these findings for STEM and non-STEM education and offering recommendations for the effective and ethical integration of AI technologies in classrooms.

Exploring Spoken English Instruction in the Post-Pandemic Landscape: Assessing Social Media's Role, Challenges, and Prospects in China

In the post-pandemic era, education in China has undergone a momentous transformation, with a notable shift towards utilizing social media platforms as educational tools. Educators in the field of teaching English as a foreign language (EFL) have been seeking ways to take full advantage of them to enhance students’ learning and apply new information in China. As English speaking skills become increasingly vital in academic and professional settings, educators are exploring innovative approaches to language learning and experimenting with integrating social media into spoken English teaching. This paper aims to examine the current status, challenges, and opportunities associated with this pedagogical shift, by synthesizing existing research findings, and to present an overview of spoken English teaching through social media in China in the post-epidemic era. The current landscape showcases a rapid increase in the use of platforms such as WeChat, Zhihu, Bilibili, Weibo and Douyin live streams for facilitating speaking practice. However, challenges persist, including ensuring the quality of instruction, bridging the digital divide, and navigating cultural nuances in communication. Nonetheless, where there are challenges, there are opportunities. This transition presents numerous opportunities, such as innovative teaching methodologies, access to authentic language input, global connectivity, and personalized learning experiences. Effective integration of pedagogy and technology is crucial in harnessing the potential of social media for enhancing English speaking skills in the post-pandemic era.

EFL teachers' attitudes toward online teaching (ATOT): A theoretical review

The emergence of online teaching has sparked significant scholarly interest, particularly regarding English as a Foreign Language (EFL) teachers' attitudes toward online teaching (ATOT). This review comprehensively examines educators' attitudes toward online teaching, focusing on EFL contexts globally and within Iran. Drawing upon theoretical frameworks such as the Technology Acceptance Model (TAM), the review emphasizes the pivotal role of educators' attitudes in integrating technology into virtual learning environments. It highlights the influence of internal factors, such as beliefs about technology, and external factors, such as infrastructure and training. Additionally, the review identifies key constructs—knowledge, appreciation, proficiency, and responsiveness—derived from Martin et al. (2019), which underpin educators' readiness for online education. Studies underscore the importance of comprehensive training, support, and policies to enhance educators' digital competencies for effective technology integration. In the Iranian context, research reveals gender disparities and the impact of variables such as education level, work environment, experience, and age on attitudes, guiding targeted strategies for technology integration (Kianinezhad, 2023). This review contributes to understanding educators' attitudes toward online teaching and offers implications for enhancing technology integration in education through tailored professional development and supportive policies. It also suggests avenues for further research to explore emerging trends and address ongoing challenges in the dynamic landscape of online education.

Integrating TOGAF and Big Data for Digital Transformation: Case Study on the Lending Industry

In today’s digital era, the strategic integration of enterprise architecture frameworks with Big Data technologies is crucial in driving digital transformation, especially within the lending industry. This research aims to identify and analyze how The Open Group Architecture Framework (TOGAF) can be integrated with Big Data to enhance innovation, operational efficiency, and decision-making in the lending sector. This study examines Indonesian financial institutions using qualitative case studies, exploring the intricate practices, challenges, and benefits of the combination of TOGAF and Big Data. The qualitative methodology focuses on in-depth interviews and document analysis to gather contextual insights into the implementation dynamics and impacts of these technologies. Findings indicate that integrating TOGAF and Big Data not only streamlines workflows but also significantly enhances data security and risk management—critical elements in the lending industry. A vital outcome of this study is the development of a robust integration model that serves as a blueprint for companies in similar sectors to navigate their digital transformation journeys. Additionally, this research provides strategic recommendations to overcome integration and implementation challenges. These guidelines facilitate the transition to a more cohesive and strengthened digital architecture, equipping financial institutions to manage the complexities of modern digital economies effectively. Ultimately, this study delivers a comprehensive framework that enriches theoretical understanding and offers practical insights for effective technology integration in financial services.

Application of Artificial Intelligence-based Technology in College Archives Management

This study looks into the use of artificial intelligence (AI)-based technologies, notably Convolutional Neural Network (CNN) models and data augmentation approaches, in college archives management. With the rapid expansion of digital information, archive organizations have enormous issues in maintaining, organizing, and giving access to their vast collections of historical documents and scholarly resources. AI solutions present possible solutions to these difficulties by automating labor-intensive operations and improving the efficiency and accuracy of preservation workflows. In this study, they investigate the transformational potential of CNN models in digitization activities, utilizing their visual data processing skills to automate and enhance the digitization of visual resources within college archives. In addition, they look into how data augmentation techniques might improve the resilience and generalization capabilities of AI models, reducing biases and improving performance across a variety of archive collections. Using empirical research, theoretical analysis, and case studies, they present insights into the opportunities and obstacles of implementing AI-based technology in college archive management. Furthermore, they discuss ethical implications for the deployment of AI solutions, emphasizing the significance of transparency, accountability, and stakeholder participation. This study aims to inform archival practitioners, technologists, and stakeholders about the effective and responsible integration of AI technologies in cultural heritage preservation and promotion within academic institutions by elucidating the practical applications and implications of CNN models and data augmentation techniques in archival contexts.

Correlation Analysis of Teachers' Educational Technology Quality and Teachers' Professional Competence by Integrating Collaborative Filtering Algorithm

In today's educational landscape, the effective integration of technology into teaching practices is paramount for fostering engaging and impactful learning experiences. Central to this integration is the competence of educators and the quality of educational technology utilized. This study presents a novel approach to correlating teachers' educational technology quality with their professional competence, utilizing a fusion of collaborative filtering algorithm and Weighted Collaborative Mamdani Optimization (WCMO). By leveraging collaborative filtering, the model extracts patterns from historical data to recommend educational technology tools tailored to individual teachers' needs and preferences. The WCMO framework further refines these recommendations by incorporating weighted factors related to teachers' professional competence, ensuring a more nuanced understanding of their instructional requirements. WCMO considers the collaborative input from multiple stakeholders or sources, assigning weighted values to each input based on their relevance or significance. This collaborative approach allows for a more comprehensive analysis of the problem space, ensuring that diverse perspectives and factors are adequately accounted for in the decision-making process. Additionally, by leveraging Mamdani fuzzy logic, WCMO can handle imprecise or uncertain input data effectively, enabling more robust and adaptive optimization outcomes. Through extensive analysis and evaluation using real-world educational datasets, proposed approach demonstrates a significant correlation between teachers' technology quality and professional competence, achieving a correlation coefficient of 0.92. Moreover, qualitative assessments reveal the effectiveness of the WCMO-enhanced recommendations in enhancing teachers' instructional practices and technology integration.

Digital Divide and Digital Competence among Accounting Students

The problem of this research is the existence of a digital divide among accounting students in Indonesia despite the rapid growth of the digital economy in Southeast Asia. This research explores the relationship between the digital divide, seen through social factors, and the digital competence of accounting students. This research uses a quantitative approach, with the subjects being accounting students. Data was collected through a survey with a questionnaire distributed to 398 accounting students at various universities in Indonesia. Data analysis was carried out using descriptive tests and non-parametric tests. The research results show that social factors significantly influence students' digital access and competence. Younger students tend to have higher levels of digital competency. Family factors such as parental education, employment, and income significantly influence students' digital abilities. In addition, computer ownership by students and effective technology integration by lecturers also impact students' digital competence. In conclusion, the digital divide still exists among accounting students in Indonesia, which affects their digital competence. The implications of this research include the need for curriculum expansion and social interventions to overcome the digital divide among accounting students, ensuring their readiness to face the digital era.

Navigating the Digital Shift: Unveiling the TPACK Landscape among EFL Educators in Indonesia

Background: Enhancing English language learning activities can be achieved by integrating Technological Pedagogical Content Knowledge (TPACK). However, not all EFL teachers, particularly those participating in Indonesia's Teacher Professional Education Program (PPG), effectively harness TPACK to optimize their teaching methods. This study aims to explore TPACK proficiency among EFL teachers, emphasizing the disparities influenced by gender and school status, to guide targeted professional development strategies. Methodology: This study, conducted in 2023, was carried out by English Language Education study program lecturers who teach in the PPG. It employed a mixed-method study to investigate TPACK mastery among 285 EFL teachers. A comprehensive research questionnaire was developed and administered to assess TPACK proficiency, focusing on gender and school status as potential differentiators. Findings:The study delves into integrating TPACK dimensions in EFL teaching, revealing gender-neutral proficiency levels but significant disparities based on school status. While male and female teachers exhibited similar TPACK mastery, state school teachers demonstrated higher proficiency, indicating the influence of school context. Tailored professional development initiatives are crucial to address these disparities and foster effective technology integration in ELT, necessitating collaborative efforts among stakeholders to overcome challenges and promote innovative pedagogical practices conducive to modern learning environments. Conclusion:This study illuminates EFL teachers' TPACK mastery and obstacles and prospects. While ICT integration is difficult, the TPACK framework offers potential ways to create engaging learning environments. Successful implementation requires overcoming instructional challenges and maintaining stakeholder support. To maximize teaching and learning, educators must adapt their methods to technology. Originality: The study fills a knowledge gap by examining EFL teachers' TPACK proficiency, providing insights into gender and school status differences, and insights on challenges and opportunities. Given the prevalent use of technology in education, it is imperative to assess TPACK among professionally employed EFL teachers

Enhancing Postgraduate Academic Writing Skills Through Course Reform: An Action Research Study

This action research study investigated the effectiveness of an academic English writing course reform for postgraduate students in science and technology disciplines at a Chinese university. The reform integrated interdisciplinary teaching approaches, genre-based pedagogy, collaborative learning, and AI-assisted writing tools to enhance students' academic writing skills, engagement, and satisfaction. A mixed-methods approach was employed, including pre- and post-tests, student surveys, interviews, and writing samples. The results showed significant improvements in students' overall writing performance, particularly in the dimensions of organization and language use. Comparative analyses across disciplines revealed the universality of the interdisciplinary teaching approach in promoting students' mastery of academic writing conventions and professional terminology. The integration of AI-assisted writing tools, while offering potential benefits, also highlighted challenges that require careful consideration and management. The study provides valuable pedagogical implications, emphasizing the adoption of an interdisciplinary, genre-based teaching approach, systematic teacher training in innovative pedagogies, judicious incorporation of AI-assisted writing tools, and ongoing, multidimensional writing assessment and feedback. Future research directions are proposed, including longitudinal studies, comparative analyses of AI-assisted writing tools, ethnographic explorations of writer and instructor identities, design-based research on innovative writing curricula, and cross-cultural investigations of the transferability of teaching reform measures. This study contributes to the advancement of academic writing instruction in postgraduate education and offers insights into the effective integration of technology and pedagogy in English for Academic Purposes.

Research Hotspot and Trend of Digital Clothing Based on Bibliometric Map

Objective: To explore the research status of digital technology in the field of clothing, analyze research hotspots and frontier trends, and provide ideas and references for subsequent research topics. Methods: CNKI database was used as the data source of Chinese literature, Web of Science core database as the data source of English literature, and CiteSpace 6.2.R5 visual tool software was used. This paper visually analyzes the research status of digital technology in the field of clothing from the aspects of cooperation between authors and institutions, keyword co-occurrence, keyword clustering and emergence analysis, and draws correlation maps for comparative study. Results: A total of 118 Chinese literatures and 1418 English literatures were included. The analysis shows that the total number of papers published by Chinese and foreign institutions is on the rise, but there are great differences in research hotspots. The data sources of Chinese literature are mainly digital technology, intelligent clothing, intelligent manufacturing, etc. The data sources of English literature are mainly reflected in the continuous research of social media, clothing industry and purchase intention. Conclusion: Researchers and institutions should grasp the hot spots and trends in the field of digital clothing, strengthen exchanges and cooperation between China and foreign countries, provide theoretical support and practical guidance for academia and industry, promote the effective integration of digital technology and clothing industry, and inject new vitality and innovation.

Generative AI in Academic Settings: Exploring ChatGPT Adoption and Implications

This research delves into the multifaceted aspects influencing the adoption and utilization of ChatGPT among postgraduate students. Executed as a qualitative study involving participants from a prominent federal university, the primary objective was to discern students’ nuanced perceptions of ChatGPT and their inclination to embrace it as an academic support tool. Based on Unified Theory of Acceptance and Use of Technology, the study employed thematic analysis with a focus on critical dimensions. Results illuminate that students are motivated to amplify academic performance, boost productivity, and streamline time management, with ChatGPT emerging as a user-friendly solution. Peer and faculty influence further solidified its integration, evolving into a habitual tool, and the availability of a free version significantly contributed to its widespread adoption. This research highlights the growing prevalence of ChatGPT across diverse academic activities, encompassing exploratory research, programming, presentations, and email composition—however, varying opinions surface regarding its efficacy and limitations in scientific text production. The research findings, particularly in the context of technology assimilation in academia, hold significant relevance for educational policymakers and practitioners. They offer valuable insights that can help form policies that foster the judicious and effective integration of technology within educational settings.

Teacher Motivation: Exploring the Integration of Technology and Didactics in the Narratives of Future Teachers

Different theories addressing the motivational process in educational practice highlight the importance of the teacher’s perspective in the effective integration of technologies as pedagogical–didactic tools in the classroom. The current study consists of a manifest content analysis applying a non-experimental, cross-sectional, qualitative research design. A longitudinal study was conducted through semi-structured individual interviews over three academic years (2020–2023) with a sample of 36 teacher-training students, including undergraduate and postgraduate students from the Valencian Community. The results obtained reveal the participants’ perceptions of the motivations for using technology in their self-learning process, highlighting the positive value they attribute to these tools as resources to motivate their future students. The narratives compiled highlight the relationship between the use of technology and improved academic performance in teacher training. Furthermore, they underline the need to incorporate educational models that not only foster digital skills but also provide solid pedagogical training in this area.

Educational Leadership: A Fifteen Year Bibliometric Review

Exploring educational leadership is crucial for shaping the future of higher education, influencing students, educators, and institutional dynamics. This thorough review is conducted by analyzing 36 research articles published in the Journal of University Teaching and Learning Practice (JUTLP) from 2008 to 2022. The study underscores the urgent need for a nuanced understanding of diverse leadership practices within the ever-changing educational landscape. While the majority of studies in JUTLP focused on women's leadership, it became evident that other aspects of educational leadership are yet to be explored in the journal’s domain. The analysis also highlights significant gaps in the existing literature, emphasizing the necessity for more comprehensive studies that encompass broader societal contexts and global perspectives. The prevalence of qualitative methodologies in the analyzed articles indicates a preference for profound qualitative insights into leadership dynamics within academia, particularly in this journal. Key findings pinpoint critical areas for future exploration. With the spotlight on women's leadership, the study identifies gaps in research published In JUTLP related to diversity in leadership roles, international comparative studies, crisis management strategies, and the effective integration of technology in education. A particularly notable gap revolves around understanding the impact of educational leadership on sessional staff, urging institutions to empower this essential segment of academia. Additionally, the study offers strategic guidance for the Journal of University Teaching and Learning Practice (JUTLP), steering future research endeavors towards more inclusive, diverse, and globally relevant studies within the domain of educational leadership.

A Study on Students’ Autonomous Learning Ability Based on Network Multimedia English Teaching Mode

The effective integration of network multimedia technology and educational and teaching activities is an inevitable requirement to improve the quality of education and teaching at present. The current application of network multimedia technology in English teaching makes its teaching mode diversified under the influence of multimedia technology and communication. Moreover, the application of media technology is helpful for teachers to help students build autonomous learning situations, which is of great significance to enhance students’ autonomous ability. Together with the characteristics of network multimedia, the college English teaching mode should be changed by making full use of the characters of vivid, intuitive and interactive advantages of network multimedia technology to strengthen students’ autonomous learning ability, to stimulate and help students to accumulate interest in English learning, to guide students to master certain English learning strategies, to establish a learning database, to organize cooperative learning and to carry out various evaluation methods.

Gamification and motivation in learning

This study explored the impact of gamification on student motivation, examining how the application of game elements and mechanics in educational contexts can enhance engagement, knowledge retention, and academic performance. The primary aim was to analyze the effectiveness of gamification as a pedagogical strategy to increase student motivation. The methodology involved a literature review, focusing on studies assessing the implementation and outcomes of gamification in education. Findings indicated a positive relationship between gamification and increased student motivation, supported by alignment with motivation theories and effective integration of technologies like virtual reality. Challenges such as balancing ludic and educational elements and teacher training were identified. Final considerations highlighted gamification’s potential to revitalize pedagogical practices despite implementation hurdles. Future prospects point towards an expansion of gamification, driven by technological advancements and greater acceptance of innovative teaching methods.

Utilization of Data Analytics to Enhance Operational Efficiency in Manufacturing Companies

In the digital era, manufacturing industries confront challenges like heightened global competition and intricate production processes, urging them to boost efficiency and productivity. Amidst these circumstances, Big Data emerges as a pivotal opportunity to enhance manufacturing performance. Big Data, characterized by vast volumes of data, utilizes advanced data mining to machine learning techniques for analysis. Data analytics, an interdisciplinary field, profoundly impacts manufacturing operations, enabling deeper insights into production processes. By analyzing production data, companies identify inefficiencies, streamline workflows, and enhance operational efficiency and productivity. Predictive maintenance through sensor data analysis prevents machine failures, while logistics data analysis optimizes supply chains and inventory management, reducing costs and enhancing competitiveness. However, implementing Big Data analytics presents challenges such as rapid data growth, diverse data sources, real-time insights, skill shortages, and data fragmentation. Overcoming these hurdles requires robust technology, skilled personnel, and effective data management strategies. Examples of Big Data analytics applications include customer behavior analysis by Amazon and Netflix, fraud detection in insurance, and urban mobility optimization. Success factors in data analytics implementation include effective data-driven communication, technology integration, and skill enhancement. In conclusion, implementing Big Data Analytics in manufacturing promises significant benefits in operational efficiency, product quality, and competitiveness. Overcoming challenges necessitates robust strategies and consideration of ethical and security issues, ensuring responsible data usage. With a deep understanding of Big Data Analytics, manufacturing companies can leverage this technology to achieve higher efficiency and competitiveness in the global market.

Impact of Artificial Intelligence in Human Psychology

Abstract: The diverse impacts of AI on human psychology, highlighting both its potential benefits and ethical considerations. As AI continues to evolve, it is essential to navigate these complexities thoughtfully to ensure the responsible and effective integration of technology into psychological practice. impact of AI on human psychology based on different ways factors, including the design and applied of AI systems, social values and individual experience.it is encompassing various domains such as diagnosis, treatment, research methodology and ethical considerations.AI on human psychology has merits and demerits.