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Journal articles on the topic 'AI readiness'

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1

Machynska, Nataliia, Nataliya Yaremchuk, Vira Korniat, Yuliia Derkach, Nelya Sirant, and Svitlana Lozynska. "Research of readiness of pedagogical workers for innovations." Revista Amazonia Investiga 11, no. 51 (2022): 50–60. http://dx.doi.org/10.34069/ai/2022.51.03.5.

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The purpose is empirical research of the interdependence of variables and construction of the factor structure of the readiness of pedagogical workers for innovation. Research methods: theoretical analysis and generalization, valid test methods with standardized questionnaires, factor analysis. The structure of readiness of pedagogical workers for innovative pedagogical activity has been determined using ANOVA factor analysis with Varimax rotation. The most significant interdependencies of variables and researched relationships were established at the statistically significant level (p ≤ .01;
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Alnasib, Badiah N. M. "Factors Affecting Faculty Members’ Readiness to Integrate Artificial Intelligence into Their Teaching Practices: A Study from the Saudi Higher Education Context." International Journal of Learning, Teaching and Educational Research 22, no. 8 (2023): 465–91. http://dx.doi.org/10.26803/ijlter.22.8.24.

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Artificial intelligence (AI) has been around for about three decades. However, use of AI in pedagogy on a large scale and examination of its impact on teaching practices in higher education are under-researched topics. This study examined the readiness of 465 faculty members at King Faisal University in Saudi Arabia to integrate AI into their teaching practices as well as the factors influencing that readiness. A 46-item online survey was used to collect data. The results show that the respondents demonstrated an average readiness to integrate AI into their teaching (M = 3.40, SD = 0.841). Sta
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Budiraharjo, Muhammad Husein, Alva Hendi Muhammad, and Kusnawi. "MSME AI Readiness Analysis Using The AIRI Framework." Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) 9, no. 2 (2024): 33–44. http://dx.doi.org/10.20527/jtiulm.v9i2.307.

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AI is expected to become one of the key technologies supporting the development of MSMEs, which represent a major pillar of Indonesia's economy. Successful adoption and implementation of AI require the right strategies, one of which stems from an analysis of a company’s AI readiness. In this study, an AI readiness analysis was conducted using the AIRI framework on six MSMEs from various business sectors. The results of the analysis provided the AI readiness levels of each MSME, along with comparisons to similar industries and to industries of comparable business scale (MSME). The analysis also
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Shonhe, Liah, and Mavis Kolobe. "Glimpse into Botswana’s AI Readiness Landscape." JeDEM - eJournal of eDemocracy and Open Government 15, no. 2 (2023): 37–67. http://dx.doi.org/10.29379/jedem.v15i2.812.

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This study seeks to provide insights into Botswana’s AI readiness landscape. It was achieved by analysing secondary data from the Oxford Insights 2022- Government AI Readiness Index (AIRI). According to the AIRI, Botswana is in position 98, out of 181 countries surveyed. The major drawbacks to successful AI adoption were; a lack of AI strategy, limited capacity to support change, an immature technology sector incapable of supporting innovation, inadequate skills to support AI development, insufficient technological infrastructure to support AI, insufficient data to train AI models, and there a
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Dai, Yun, Ching-Sing Chai, Pei-Yi Lin, Morris Siu-Yung Jong, Yanmei Guo, and Jianjun Qin. "Promoting Students’ Well-Being by Developing Their Readiness for the Artificial Intelligence Age." Sustainability 12, no. 16 (2020): 6597. http://dx.doi.org/10.3390/su12166597.

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This study developed and validated an instrument to measure students’ readiness to learn about artificial intelligence (AI). The designed survey questionnaire was administrated in a school district in Beijing after an AI course was developed and implemented. The collected data and analytical results provided insights regarding the self-reported perceptions of primary students’ AI readiness and enabled the identification of factors that may influence this parameter. The results indicated that AI literacy was not predictive of AI readiness. The influences of AI literacy were mediated by the stud
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Chuyen, Nguyen Thi Hong, and Nguyen The Vinh. "How teachers’ AI readiness affects AI integration: insights from modeling analysis." International Journal of Evaluation and Research in Education (IJERE) 14, no. 2 (2025): 1496. https://doi.org/10.11591/ijere.v14i2.28242.

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<span lang="EN-US">This study examined the dynamic relationships among professional development and training, resources and accessibility, attitudes and perceptions, pedagogical knowledge and expertise, teachers’ artificial intelligence (AI) readiness, and the integration of AI in teaching practices. The study employed a non-random purposive approach and utilized the structural equation modeling (SEM) method. Five hypotheses were meticulously formulated and subsequently subjected to empirical scrutiny, involving a cohort of 224 participants. Data were collected via Google Form and subjec
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Xuan, Pang Yi, Mohamed Ismath Fathima Fahumida, Muhammad Imran Al Nazir Hussain, et al. "Readiness Towards Artificial Intelligence Among Undergraduate Medical Students in Malaysia." Education in Medicine Journal 15, no. 2 (2023): 49–60. http://dx.doi.org/10.21315/eimj2023.15.2.4.

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Artificial intelligence (AI) technology is growing at a fast pace and permeates many aspects of people’s daily lives. Medical students’ inclination towards AI in the medical field increases the probability of successful AI adoption and its value in the medical field. This study was conducted to evaluate medical AI readiness among undergraduate medical students. A cross-sectional study was conducted from March 2022 to April 2022 in a private medical institution in Malaysia. A non-probability purposive sampling method was used to enroll students and a questionnaire was distributed online via Goo
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Manrique, Paul Christian J., and Noel R. Palomares. "EMBRACING THE FUTURE: EXPLORING TEACHERS PERSPECTIVE AND READINESS FOR INTEGRATING ARTIFICIAL INTELLIGENCE (AI) IN MATHEMATICS CLASSROOM IN SELECTED PUBLIC AND PRIVATE SENIOR HIGH SCHOOL." Ignatian International Journal for Multidisciplinary Research 2, no. 5 (2024): 2654–75. https://doi.org/10.5281/zenodo.11393926.

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The study investigated the readiness and perspective of senior high school mathematics teachers in integrating Artificial Intelligence (AI) in their classrooms. It aimed to examine the relationship between teacher demographics, AI familiarity, perspectives, and readiness for AI adoption, identify challenges and barriers, explore potential benefits, and propose interventions. A descriptive-correlational design was employed, involving 37 senior high school mathematics teachers from Quezon City and Marinduque. Data was collected through a survey questionnaire and analyzed using descriptive and in
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Tsumarieva, Natalia, Maksym Hryshchenko, Stanislav Merdov, Volodymyr Hospodarenko, and Dmytro Kyslenko. "The model of training law enforcement officers’ readiness for professional self-fulfillment." Revista Amazonia Investiga 12, no. 63 (2023): 277–88. http://dx.doi.org/10.34069/ai/2023.63.03.26.

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The aim of the study was to determine an effective model of training law enforcement officers’ readiness for professional self-fulfillment taking into account the level of their professional training and the demands of society. The research involved the methods of questionnaire survey, expert evaluations and interviews with the use of focus groups. The obtained data were analysed using the methods of mathematical statistics. According to the results of the factor analysis, motivation, support, ability to manage time, recognition of success and relaxation have the greatest impact on readiness f
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Alshorman, Sameera. "THE READINESS TO USE AI IN TEACHING SCIENCE: SCIENCE TEACHERS' PERSPECTIVE." Journal of Baltic Science Education 23, no. 3 (2024): 432–48. http://dx.doi.org/10.33225/jbse/24.23.432.

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This study aimed to assess the readiness of Jordanian science teachers for integrating Artificial Intelligence (AI) in science education, focusing on their perceptions, challenges, and training needs. A quantitative survey methodology was employed, using a 35-item questionnaire distributed to 136 science teachers in urban Jordan. The questionnaire, developed and refined through expert peer review and a pilot study, encompassed demographics, attitudes towards AI, perceived benefits and challenges of AI in science teaching, self-efficacy in using AI, and behavioural intentions regarding its use.
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Salem, Mostafa Aboulnour, Ossama M. Zakaria, Eman Abdulaziz Aldoughan, Zeyad Aly Khalil, and Hazem Mohamed Zakaria. "Bridging the AI Gap in Medical Education: A Study of Competency, Readiness, and Ethical Perspectives in Developing Nations." Computers 14, no. 6 (2025): 238. https://doi.org/10.3390/computers14060238.

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Background: The rapid integration of artificial intelligence (AI) into medical education in developing nations necessitates that educators develop comprehensive AI competencies and readiness. This study explores AI competence and readiness among medical educators in higher education, focusing on the five key dimensions of the ADELE technique: (A) AI Awareness, (D) Development of AI Skills, (E) AI Efficacy, (L) Leanings Towards AI, and (E) AI Enforcement. Structured surveys were used to assess AI competencies and readiness among medical educators for the sustainable integration of AI in medical
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Socol, Adela, and Iulia Cristina Iuga. "Addressing brain drain and strengthening governance for advancing government readiness in artificial intelligence (AI)." Kybernetes 53, no. 13 (2024): 47–71. http://dx.doi.org/10.1108/k-03-2024-0629.

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PurposeThis study aims to investigate the impact of brain drain on government AI readiness in EU member countries, considering the distinctive governance characteristics, macroeconomic conditions and varying levels of ICT specialists.Design/methodology/approachThe research employs a dynamic panel data model using the System Generalized Method of Moments (GMM) to analyze the relationship between brain drain and government AI readiness from 2018 to 2022. The study incorporates various control variables such as GDP per capita growth, government expenditure growth, employed ICT specialists and sev
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Lemay, David J., Ram B. Basnet, and Tenzin Doleck. "Fearing the Robot Apocalypse: Correlates of AI Anxiety." International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI) 2, no. 2 (2020): 24. http://dx.doi.org/10.3991/ijai.v2i2.16759.

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This study examines the relationship between individuals’ beliefs about AI (Artificial Intelligence) and levels of anxiety with respect to their technology readiness level. In this cross-sectional study, we surveyed 65 students at a southwestern US college. Using partial least squares analysis, we found that technology readiness contributors were significantly and positively related to only one AI anxiety factor: socio-technical illiteracy. In contrast, all four links between technology readiness inhibitors and AI anxiety factors were significant with medium effect sizes. Technology readiness
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Ngọc Khánh Ly, Ngoc Khanh Ly. "“ARE YOU ON BOARD?”: UNIVERSITY EFL INSTRUCTORS’ READINESS FOR INTEGRATING AI-POWERED TOOLS IN TEACHING." VNU Journal of Foreign Studies 41, no. 3 (2025): 74–91. https://doi.org/10.63023/2525-2445/jfs.ulis.5524.

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Artificial Intelligence (AI) has been hailed as revolutionizing education, particularly in English Language Teaching and Learning. As teachers stand at the forefront of adopting AI in their teaching, understanding their readiness to harness this technology warrants further examination. While studies on teacher AI readiness exist, most have adopted a quantitative research approach. Employing a mixed-method approach, this study aimed to explore the level of EFL teachers' readiness to incorporate AI-based tools in teaching, their experience and their intention of using AI in their teaching. The f
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Ovcharenko, Natalia, Olha Matveieva, and Olha Chebotarenko. "Metodological readiness formation of future music art teachers for their professional activity." Revista Amazonia Investiga 9, no. 27 (2020): 157–64. http://dx.doi.org/10.34069/ai/2020.27.03.16.

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The article highlights the ways of solving the current problem of artistic education in Ukraine - methodological readiness formation of future music art teachers for their professional activity. The purpose of the study is experimental verification of the organizational and methodical principles of the methodological readiness formation of future music art teachers for their further professional activity, which is considered as: professional and personal formation of a teacher based on the motivation to such a kind of activity, a complex of methodological knowledge, skills and psychological ca
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Jackman, Grace-Anne, Ian A. Marshall, and Troy Carrington. "Opportunity or Threat: Investigating Faculty Readiness to Adopt Artificial Intelligence in Higher Education." Caribbean Journal of Education and Development 1, no. 2 (2024): 4–27. https://doi.org/10.46425/cjed1201029055.

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Artificial Intelligence (AI) is increasingly being integrated into higher education, providing opportunities to enhance teaching and learning through personalised instruction, automated assessments, and data–driven insights. However, faculty members’ readiness to integrate AI into their teaching practices plays a critical role in its effective implementation. While global studies have primarily examined AI adoption in higher education, research on faculty readiness within Caribbean institutions remains limited, presenting a significant gap in the literature. This study used the Unified Theory
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Bekirova, Elmira Sh, Meliya N. Harabadjah, Juliya V. Makarenko, Olga I. Vaganova, and Ludmila A. Sundeeva. "Model formation of future teachers readiness to innovative activity." Revista Amazonia Investiga 9, no. 29 (2020): 22–28. http://dx.doi.org/10.34069/ai/2020.29.05.3.

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The relevance of the study is justified by the new requirements for the personality of a specialist in the field of education. Thus, an obligatory component of professional and pedagogical competence is the innovative competence of the teacher. The formation of this competence in future teachers in the system of their professional training in higher education requires special methodological system of innovative competence formation. The purpose of this article is to reveal the essence and to describe the model of readiness to innovative activity of future teachers. The purpose of the article i
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Yen, Wendy Teoh Ming, Tan Lay Hong, and Yuen Yee Yen. "A Proposed Framework for Assessing the Readiness of AI in Small and Medium Enterprises (SMEs) in Malaysia." Journal of Ecohumanism 3, no. 5 (2024): 254–60. http://dx.doi.org/10.62754/joe.v3i5.3893.

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Small and Medium Enterprises (SMEs) have become increasingly important to Malaysia’s economy in recent years. They contribute significantly to GDP growth, job creation, and innovation. However, SMEs often face various challenges such as limited resources, market competition, and technological barriers. In this digital age, integrating Artificial Intelligence (AI) has tremendous potential to overcome these challenges and drive SMEs towards sustainable growth and competitiveness. Despite this, it remains unclear whether Malaysian SMEs are ready to adopt and use AI technologies. This research aim
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Kolar, Nina, Borut Milfelner, and Aleksandra Pisnik. "Factors for Customers’ AI Use Readiness in Physical Retail Stores: The Interplay of Consumer Attitudes and Gender Differences." Information 15, no. 6 (2024): 346. http://dx.doi.org/10.3390/info15060346.

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In addressing the nuanced interplay between consumer attitudes and Artificial Intelligence (AI) use readiness in physical retail stores, the main objective of this study is to test the impacts of prior experience, as well as perceived risks with AI technologies, self-assessment of consumers’ ability to manage AI technologies, and the moderator role of gender in this relationship. Using a quantitative cross-sectional survey, data from 243 consumers familiar with AI technologies were analyzed using structural equation modeling (SEM) methods to explore these dynamics in the context of physical re
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Minakov, O., and R. Tolpezhnikov. "ANALYSIS OF ENTERPRISE READINESS FOR THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT." Vìsnik Marìupolʹsʹkogo deržavnogo unìversitetu Serìâ Ekonomìka 14, no. 28 (2024): 71–81. https://doi.org/10.34079/2226-2822-2024-14-28-71-81.

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This article examines the readiness of enterprises to implement artificial intelligence (AI) in human resource management. In recent years, AI adoption has become a key driver of business process transformation in companies; however, the overall readiness of enterprises to integrate these technologies remains low. Globally, only 13 % of companies are fully prepared to integrate AI into their business processes. The article presents approaches for assessing the current level of organizational readiness, identifying key barriers, and developing recommendations to overcome them. The main barriers
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Dudnik, Olesya, Marina Vasiljeva, Nikolay Kuznetsov, et al. "Trends, Impacts, and Prospects for Implementing Artificial Intelligence Technologies in the Energy Industry: The Implication of Open Innovation." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 2 (2021): 155. http://dx.doi.org/10.3390/joitmc7020155.

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This research aims to substantiate the impact of using open innovation (OI) in the energy sector in readiness to implement artificial intelligence (AI) technologies and their effectiveness. The empirical method was proposed to determine the readiness level of OI for the implementation of AI technologies by comparing Russian and French energy companies. Readiness level indicators of companies for AI implementation using the Fibonacci sequence, Student’s t-test, and the method of fuzzy sets were empirically determined. The integrated readiness indicator for AI implementation by companies was cal
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Ayyasy, Jadiid, Rizky Rafy Mahendra, Ani Fitriani, Richatul Jannah, and Ariq Syuja Prakosa. "OPPORTUNITIES AND CHALLENGES OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING: ARE ACCOUNTING STUDENTS READY TO ADOPT AND DEVELOP IT?" Jurnal Maneksi 14, no. 2 (2025): 683–95. https://doi.org/10.31959/jm.v14i2.3116.

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Introduction: This study aims to analyze the readiness of accounting students in adopting and developing AI. This research aims to obtain a comprehensive insight into the knowledge, perceptions, and readiness of accounting students in adopting and developing Artificial Intelligence (AI) in the context of accounting. The results of the study show that the readiness of accounting students to face AI opportunities and challenges is still quite low. The research shows that the higher students' knowledge of AI concepts and applications, and the better their perceptions of AI opportunities and chall
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Chashechnikova, Olga, Oksana Odintsova, Iryna Hordiienko, Oksana Danylchuk, and Liudmyla Popova. "Innovative technologies for the development of critical thinking in students." Revista Amazonia Investiga 13, no. 81 (2024): 197–213. http://dx.doi.org/10.34069/ai/2024.81.09.16.

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The article reveals the content and level of critical thinking; the key provisions of the philosophy of education, on which the organization of the development of critical thinking of students of higher education should be based, are highlighted; the levels of the process of formation of critical thinking skills and the most important factors and components of the development of critical thinking are considered. The methodological foundations of the research are: leading propositions of the theory of scientific knowledge; general scientific principles of historicism, systematicity, and scienti
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Tariq, Burhana, Amanat Ali, Muhammad Sajid Khattak, Muhammad Irfanullah Arfeen, Muhammad Azam I. Chaudhary, and Faisal Iqbal. "Artificial intelligence and project management maturity: A study of selected project-based organizations in Pakistan." International Journal of ADVANCED AND APPLIED SCIENCES 11, no. 6 (2024): 106–17. http://dx.doi.org/10.21833/ijaas.2024.06.012.

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Artificial intelligence (AI) is significantly impacting modern project management (PM) nowadays, especially as it begins to be integrated into business applications. This study focused on evaluating the readiness for AI implementation and the maturity level of PM in selected project-oriented organizations in Pakistan. Data from 12 such organizations were gathered through focus groups to examine the status of AI readiness and PM maturity and to explore their association. The methods used included exploratory data analysis and research on extreme cases. The findings indicated that AI readiness w
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Mohd.Yazid, Muhammad Farhan, and Azlina Abdul Aziz. "PRIMARY SCHOOL TEACHERS' READINESS ON THE USE OF AI GENERATED IMAGE TO TEACH LITERATURE IN ACTION COMPONENT." International Journal of Humanities, Philosophy and Language 8, no. 29 (2025): 29–47. https://doi.org/10.35631/ijhpl.829003.

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This study investigates the readiness of primary school teachers to use AI-created images for teaching literature, identifying the main factors influencing such readiness. For this research, a sample of 70 teachers will be approached. The study will be carried out by applying various statistical analyses: reliability analysis, descriptive statistics, correlation analysis, and regression analysis. The results indicate that teachers' readiness is high and significantly influenced by performance expectancy, effort expectancy, social influence, and facilitating conditions. These factors have a pos
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Zaki, Ahmad Rifian Maula, and Indana Ainiya Ulya. "Analisis Kesiapan Pedagogis Dan Teknologis Guru Dalam Mengadopsi Ai Sebagai Sarana Pembelajaran Adaptif." Jurnal Pendidikan Indonesia 6, no. 7 (2025): 3220–28. https://doi.org/10.59141/japendi.v6i7.8434.

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The development of artificial intelligence (AI) technology increasingly opens up opportunities for the transformation of education towards a more adaptive learning approach. However, the readiness of teachers as the main actors in the education ecosystem is a determining factor in the adoption of this technology, especially in creating adaptive learning. This study aims to measure the level of teacher readiness in utilizing AI as an adaptive learning assistant, focusing on pedagogical, technological, and AI adoption aspects. This study used a quantitative method with a survey approach to 42 En
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Dela Torre, Jacqueline, and Neil Balba. "AI-Driven Learning Management System Integration In Selected Local Colleges and Universities (LCUs) In Calabarzon: A Readiness Assessment Framework." Asia Pacific Journal of Management and Sustainable Development 13, no. 1 (2025): 134–40. https://doi.org/10.70979/xokd1530.

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The rapid advancement of artificial intelligence (AI) is reshaping the educational landscape, offering new opportunities to enhance learning experiences and administrative efficiency. This study assesses the readiness of selected Local Colleges and Universities (LCUs) in Calabarzon in integrating an AI-driven Learning Management System (LMS). The study evaluates three key dimensions: (1) technology readiness, which includes IT infrastructure—hardware, software, and network capabilities; (2) people readiness, focusing on AI literacy among faculty and students, including AI knowledge, skills, et
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Palade, Marta, and George Carutasu. ""Organizational Readiness for Artificial Intelligence Adoption"." Scientific Bulletin of the Politehnica University of Timişoara Transactions on Engineering and Management 7, no. 1-2 (2023): 30–35. http://dx.doi.org/10.59168/fdms6321.

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Technology evolves with a rapid speed and organizations are facing the need to adopt AI technologies to keep up with innovation. Although new compared to other technologies, AI readiness adoption can and should be normalized under an existing model for digitization.
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Osman, Asim Seedahmed Ali. "Navigating the Future with AI-Powered Insights: Challenges and Strategies for Digital Evolution." Indian Journal Of Science And Technology 18, no. 22 (2025): 1754–62. https://doi.org/10.17485/ijst/v18i22.825.

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Objectives: The purpose of this study is to investigate how AI may improve data-centric procedures and strengthen economic ties in emerging nations. It also looks at how ethics and readiness for AI adoption affect strategic governance and policymaking, as well as how they mediate the spread of knowledge. Methods: Data were obtained from 350 respondents in the public and private sectors via interviews and online questionnaires, with 302 valid replies being used for analysis. Cronbach's Alpha was used to assess the reliability of constructs relevant to AI adoption, knowledge management, and deci
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Marusynets, Marianna, Lyudmyla Vovkochyn, Svitlana Yakymenko, Nаdiia Tkachuk, and Alla Tymchenko. "Innovative educational technologies in the system of specialist’s professional training." Revista Amazonia Investiga 11, no. 60 (2022): 177–86. http://dx.doi.org/10.34069/ai/2022.60.12.19.

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The process of education development with its innovative component begins with the influence of the need for changes in the arena of the educational process in higher education. It is created during the analytical work of specialized scientific organizations, education management bodies, heads of higher education institutions, scientific and pedagogical teams. It is highlighted the main principles that show the innovative work of modernization of higher education carried out by the Bologna process. The structure of readiness for innovative pedagogical work is outlined as a combination of motiv
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Yasmin Farooq. "Exploring Teachers' Psychological Readiness for Effective AI Integration in the Classroom." Critical Review of Social Sciences Studies 3, no. 3 (2025): 351–64. https://doi.org/10.59075/fbwe9b83.

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This study explores the psychological readiness of university teachers in Punjab, Pakistan, to integrate Artificial Intelligence (AI) into classroom practices. While AI technologies offer transformative potential in education through personalized learning and automation, their successful adoption hinges on teachers' emotional, cognitive, and motivational preparedness. Using a quantitative research design and responses from 250 faculty members across five universities, the study examined the influence of psychological factors, institutional support, and perceived barriers on AI readiness. Findi
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Chang, Sejin, and Yuri Kim. "Exploratory Study of Readiness for Nursing College Students to Utilize Artificial Intelligence." Korea Association of Yeolin Education 31, no. 3 (2023): 71–91. http://dx.doi.org/10.18230/tjye.2023.31.3.71.

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This study investigates the readiness of nursing college students to utilize artificial intelligence (AI). For this purpose, the study conducted analysis by measuring the perceptions, attitudes, abilities, and prospects of nursing college students. An online survey was conducted with 131 students from freshmen~seniors at K University of Health in Gyeongbuk. A 4-point Likert scale was used, and collected data was analyzed with SPSS 23.0. The analysis results of readiness for nursing college students to utilize AI were as follows: first, they were asked whether they agreed on their readiness in
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Ashish Basak, SK Muhammad Yeasin, Sanjana Shahnaj, and Zakia Zohra Shurovi. "Faculty readiness and attitudes toward AI integration in university teaching: A Developing Country’s Perspective." World Journal of Advanced Engineering Technology and Sciences 16, no. 1 (2025): 041–48. https://doi.org/10.30574/wjaets.2025.16.1.1202.

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Background: Artificial Intelligence (AI) is increasingly transforming higher education globally, yet its integration remains limited in developing countries. Faculty readiness and attitudes play a critical role in successful AI adoption in university teaching. This study investigates these factors in the context of Bangladesh. Methods: A descriptive cross-sectional survey was conducted among 100 university faculty members across various disciplines in Bangladesh. A structured questionnaire measured faculty readiness and attitudes using Likert-scale and categorical items. Descriptive statistica
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Chege, Anne Mweru, and Allan Kihara. "Determinants of Artificial Intelligence Technologies Adoption in Kenyan Universities: A Case of United States International." Journal of Technology and Systems 7, no. 4 (2025): 16–35. https://doi.org/10.47941/jts.2797.

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Purpose: This study sought to carry out analysis of factors influencing AI adoption in the education sector and focused on AI adoption determinants at the United States International University-Africa. This study sought to determine the effect of technical capability, trust, relative costs and institutional readiness on AI adoption at USIU-A. The study was founded on technology acceptance models and focused on analysis of technical capability factors, trust, cost factors and institutional readiness factors. Methodology: The study was guided by a cross-sectional research design and targeted stu
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Jefriyanto, Jefriyanto, Helga Nuri Honesty, Herlinda Fitri Febriyanti, Rifaldo Rifaldo, Kartika Amalia Arundari, and Mohamad Shamil Ulwan. "Accounting Students on the Role of AI: Future of Accountants." Journal of Innovation in Educational and Cultural Research 6, no. 3 (2025): 538–48. https://doi.org/10.46843/jiecr.v6i3.2336.

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The rapid advancement of technology, particularly artificial intelligence (AI), has profoundly impacted the accounting profession. Despite extensive research examining the effects of technology and AI on accounting practices globally, studies specifically addressing the readiness of accounting students in Indonesia to adapt to AI remain limited. This study explores students' readiness at Universitas Negeri Padang to face the challenges of the Industrial Revolution, particularly concerning AI integration into accounting practices. A quantitative research approach will be employed to achieve thi
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Chaaban, Youmen, Saba Qadhi, Juebei Chen, and Xiangyun Du. "Understanding Researchers’ AI Readiness in a Higher Education Context: Q Methodology Research." Education Sciences 14, no. 7 (2024): 709. http://dx.doi.org/10.3390/educsci14070709.

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Taking a human-centered socio-cultural perspective, this study explored the manifold individual and structural processes that contribute to researchers’ AI readiness. Forty-three graduate students and faculty at one university in Qatar took part in this Q methodology study. The results represented participants’ collective perspectives on what they considered relevant to their AI readiness. A 5 + 1-factor solution was accepted, illustrating diverse perspectives and no consensus. The factors were termed based on their main foci, as follows, (F-1) how technical skills are acquired, (F-2) when it
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Muhaimin, Muh. "ANALISIS KESIAPAN MAHASISWA DALAM MENGGUNAKAN AI UNTUK MENDUKUNG PROSES PEMBELAJARAN MAHASISWA UNISNU JEPARA." Tunas Nusantara 6, no. 2 (2024): 754–59. https://doi.org/10.34001/jtn.v6i2.7634.

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This study aims to analyze the preparedness of students in facing the implementation of Artificial Intelligence (AI) technology in education. With the advancement of technology, AI is increasingly being used to support the learning process, both in the form of AI-based learning applications and in the development of adaptive educational systems. However, the adoption of this technology requires readiness from various parties, especially students as the primary users. This research uses a survey method by collecting data from students across different study programs to measure their understandi
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Al-Mawalia, Hamzah, Yaser Allozia, Aram Nawaiseha, Hala Zaidana, Abdul Rahman Al Natour, and Muhammad Alshurideh. "AI-based audit acceptance and auditors’ technology readiness." International Journal of Data and Network Science 9, no. 3 (2025): 525–40. https://doi.org/10.5267/j.ijdns.2024.8.013.

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This study investigates auditors' willingness to adopt AI-based audit tools using the AI Device Use Acceptance (AIDUA) model, focusing on the factors influencing acceptance and the moderating role of technology readiness. Data were collected from 153 certified external auditors in Jordan, representing a 30% response rate. The findings reveal that social influence and hedonic motivation positively impact performance expectancy, while anthropomorphism influences effort expectancy. Emotions significantly affect auditors' willingness to adopt AI-based audits, moderated by their technology readines
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Nurmaini, Siti. "The Artificial Intelligence Readiness for Pandemic Outbreak COVID-19: Case of Limitations and Challenges in Indonesia." Computer Engineering and Applications Journal 10, no. 1 (2021): 9–19. http://dx.doi.org/10.18495/comengapp.v10i1.353.

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Artificial intelligence (AI) technologies continue to play significant roles during the Coronavirus 2019 (COVID-19) pandemic in the world. However, health is an area where the rules are stringent and inflexible. This can be justified because it deals with human life. Nevertheless, at the same time, a large number of tests, certifications, and panels will lead to innovations in AI for healthcare that are longer, more complex, and difficult to incorporate into real-world applications. Indonesia has a lot of AI research, which is challenging to commercialize in medicine. These researches are not
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Engels, Barbara. "Künstliche Intelligenz in der deutschen Wirtschaft: Ohne Digitalisierung und Daten geht nichts." Wirtschaftsdienst 103, no. 8 (2023): 525–29. http://dx.doi.org/10.2478/wd-2023-0151.

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Abstract Artificial Intelligence (AI) holds immense potential for enhancing prosperity. However, the adoption of AI in German businesses remains limited, with only 19 % of companies utilizing AI in 2022. The successful implementation of AI relies on two key prerequisites: a company’s digitalisation and data economy readiness. The Digitalisation Index reveals slow progress in digitalisation across sectors, indicating a need for increased efforts. Additionally, companies must enhance their data economy readiness to efficiently utilize data for AI applications. Failing to tap into the potential o
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Unal, Aslihan, and John Hobe. "Preservice Teachers’ Readiness for Integrating AI in Elementary Classrooms." Journal of Education and Training Studies 13, no. 4 (2025): 34. https://doi.org/10.11114/jets.v13i4.7785.

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This study investigates the readiness of elementary education preservice teachers to integrate Artificial Intelligence (AI) into classroom practices, focusing on their attitudes, perceptions, and the challenges they face. Using survey data, the research examines participants' familiarity with AI, beliefs about its educational impact, and views on the evolving role of teachers in AI-enhanced learning environments. Findings indicate generally positive attitudes toward AI adoption, with participants recognizing its potential to improve teaching and learning. However, concerns about limited resour
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Labanieh, Mohamad Fateh, Zuryati Mohamed Yusoff, Zainal Amin Ayub, Harlida Abdul Wahab, and Mohd Dino Khairri Shariffuddin. "THE ARTIFICIAL INTELLIGENCE (AI) READINESS IN ASEAN COUNTRIES: THE GOVERNMENT POLICIES AND FRAMEWORKS." ASEAN Legal Insights 1 (December 30, 2024): 68–76. https://doi.org/10.32890/aseanli2024.1.5.

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The Fifth Industrial Revolution (5.IR) transforms people’s lives, making strong legal frameworks crucial. This article examines artificial intelligence (AI) readiness in ASEAN countries, specifically Malaysia, Thailand, and Singapore, by focusing on the government policies and frameworks of AI. A doctrinal legal analysis methodology was used to evaluate each country’s legal infrastructure, identifying gaps and suggesting proper solutions. Findings show significant variations in AI readiness. Specifically, Singapore demonstrates leadership in AI preparation through its sophisticated regulatory
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Ibrahim, Amaan Iqbal, and Dr Sunayna Iqbal. "The RUT Factor: Analysing Changes in Student Readiness to Undertake Tasks with Generative AI as a Moderator." International Journal of Environmental Sciences 11, no. 5s (2025): 895–912. https://doi.org/10.64252/bgewk868.

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This study investigates the moderating role of Generative Artificial Intelligence (GAI) on student academic readiness, operationalised by the RUT Factor Model (Readiness to Undertake Tasks) - a triadic construct comprising of emotional, cognitive and behavioural readiness. A quasi-experimental interventional design was utilised with 100 undergraduate psychology students, who were divided via Randomised Controlled Trials (RCT) into a control group and an AI-assisted test group. Both groups had to complete an academic task, with the AI-assisted group given access to a structured prompt guide for
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Dien Putri, Asnhy Anggun, Ivana Beatrice Alberta, and Fredy Ciputra. "ARTIFICIAL INTELLIGENCE IN OPHTHALMOLOGY: CHALLENGES AND READINESS IN INDONESIA." Al-Iqra Medical Journal : Jurnal Berkala Ilmiah Kedokteran 6, no. 2 (2023): 24–32. https://doi.org/10.26618/aimj.v6i2.10951.

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Artificial Intelligence (AI) has been increasingly used in various fields of medicine. It involves the development of algorithms and computer programs that can learn from and adapt to data, enabling machines to perform tasks without explicit human instructions. The ultimate goal of AI is to create machines that can think and reason like humans. AI has the potential to transform the field of ophthalmology, which leads to improved patient care. This study aims to examine the current state of AI in ophthalmology, the challenges facing its adoption in Indonesia, and the opportunities for growth an
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Nikolaesku, Inna, Olena Budnyk, Viktoria Bondar, Oksana Tepla, and Liudmyla Berezovska. "Pedagogical Management in Inclusive Process of the Educational Institution." Revista Amazonia Investiga 10, no. 39 (2021): 76–85. http://dx.doi.org/10.34069/ai/2021.39.03.7.

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The aim of this article is to substantiate the requirements to the head of an inclusive education institution in the context of modern realities, to present the results of an experimental study of the development of education manager’s inclusive competence, the cognitive-activity and analytical-performance components of readiness to solve professional practical tasks. The professional profile of the head of an inclusive education institution (manager-leader-expert) is singled out, which combines pedagogical, psychological, inclusive competences, professional skills, as well as personal, busine
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Rina, Lelahester, Lamin Kaira, Gehad Mohammed Sultan Saif, and Wulan Setyaningsih. "The Contribution of Artificial Intelligence Technology to the Learning Process of Accounting Students in the Digital Era and Learning Ethics." Advances Educational Innovation 1, no. 1 (2024): 16–25. http://dx.doi.org/10.69725/aei.v1i1.83.

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Objective: This study investigates the contribution of Artificial Intelligence (AI) technology to the learning process of accounting students in Surakarta, focusing on its adoption and associated learning ethics in the digital era.Methods: A quantitative approach was employed using a questionnaire distributed via Google Forms, targeting accounting students from private and state universities. The analysis utilized SmartPLS 3 for Partial Least Squares Structural Equation Modeling (PLS-SEM).Findings: The results indicate that Perceived Ease of Use significantly influences AI Technology Adoption,
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Ardiyanti, Alfi, and Endah Susilowati. "The Technology Readiness and Perceived Usefulness Mediate Digital Competencies and Artificial Intelligence Technologies." Fokus Bisnis Media Pengkajian Manajemen dan Akuntansi 23, no. 1 (2024): 28–43. http://dx.doi.org/10.32639/fokbis.v23i1.862.

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The development of technology is getting more sophisticated along with the increasing number of fields that adopt technology, such as artificial intelligence. Universities are now adding AI curriculum in accounting as a provision before entering the workforce. There are factors that can influence users in accepting technology so this study aims to examine the influence of variables on AI acceptance. This research is a quantitative study with a primary data collection method through a questionnaire distributed to 98 respondents with a population of 4,074 students with research objects at 4 stat
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Jamil, Khalid, Wen Zhang, Aliya Anwar, and Sohaib Mustafa. "Exploring the Influence of AI Adoption and Technological Readiness on Sustainable Performance in Pakistani Export Sector Manufacturing Small and Medium-Sized Enterprises." Sustainability 17, no. 8 (2025): 3599. https://doi.org/10.3390/su17083599.

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This study examines the impact of technological integration on sustainable performance in Pakistani manufacturing SMEs from the export sector, focusing on the mediating role of employee capacity building and the moderating role of organizational learning, drawing on dynamic capabilities theory. Data were collected from manufacturing SMEs in Pakistan via a structured questionnaire, and structural equation modeling (SEM) was employed using Smart-PLS (4.1) for analysis. The results reveal that both AI adoption and technological readiness significantly enhance employee capacity building, which, in
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Kovič, Klemen, Polona Tominc, Jasna Prester, and Iztok Palčič. "Artificial Intelligence Software Adoption in Manufacturing Companies." Applied Sciences 14, no. 16 (2024): 6959. http://dx.doi.org/10.3390/app14166959.

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This study investigates the adoption of artificial intelligence (AI) software in manufacturing companies in Slovenia, Slovakia and Croatia, and across six production areas. This research ad-dresses a gap in the literature regarding AI software implementation in relation to company size, technology intensity and supply chain role, and examines whether Industry 4.0 (I4.0) readiness influences AI adoption. Data from the European Manufacturing Survey 2022 were analyzed, and showed that the use of AI is still relatively low. On average only 18.4% of companies use AI software in at least one product
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Akinola, Samson Adesina. "Overcoming Barriers to AI Implementation in University Libraries: A Developing Country Perspective." Edulib 14, no. 2 (2024): 122–33. https://doi.org/10.17509/edulib.v14i2.66752.

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This paper explores the use of artificial intelligence (AI) as an enabler for effective library services in universities in developing countries in the contemporary information age, focusing on its use in library functions, librarians' attitudes, readiness, challenges, and recommendations for effective implementation. The paper shows that AI has the potential to enhance library services and improve user experiences. It also assures that librarians play a crucial role in the implementation and use of AI, and their attitudes towards AI vary. Some librarians are excited about the possibilities AI
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