The Reality of Technological Competencies to Produce Artificial Intelligence Applications among Computer Supervisors and Teachers
Abstract
The study aimed to reveal the reality of technological competencies to produce artificial intelligence applications among computer supervisors and teachers. The study espoused the descriptive logical approach, whereby a questionnaire was developed to collect the necessary data. The study population consists of all computer supervisors and teachers in seminaries combined with the General Administration of Education in Jeddah City, (60) of whom were named as a sample for the study. The study's results indicated that the reality of the software capabilities demanded to produce artificial intelligence operations among computer supervisors and teachers came to a high degree. The reality of the fine capabilities necessary to produce artificial intelligence operations among computer for them came to a high degree, as well as the reality of the capabilities to deal with data necessary to produce operations the artificial intelligence of computer for them is high degree. The results indicate that the reality of soft skills capabilities necessary to produce artificial intelligence operations among computer supervisors and teachers came to a high degree. Technology for the product of artificial intelligence operations for computer supervisors and teachers according to the variables of job title, training courses, educational qualification, and times of experience. The study recommends the need to enrich the training programs for the development of computer teachers with stations and conditioning that enhance technology capabilities and the chops of employing the production of artificial intelligence applications process.
References
2. عسيري، منال. (2022). المنصات التعليمية الإلكترونية ودورها في تنمية الكفايات الرقمية لدى المعلم: منصة مدرستي نموذجًا. المجلة العربية للتربية النوعية، 6(22)، 437-464.
3. الغامدي، سامية والفراني، لينا. (2020). واقع استخدام معلمات مدارس التربية الخاصة للتطبيقات التعليمية للذكاء الاصطناعي واتجاهاتهن نحوها. المجلة الدولية للدراسات النفسية التربوية (EPS)، 8 (1)، 57-76.
4. الفراني، لينا والحجيلي، سمر. (2020). العوامل المؤثرة في قبول المعلم لاستخدام الذكاء الاصطناعي في التعليم في ضوء النظرية الموحدة لقبول واستخدام التكنولوجيا (UTAUT). مجلة العلوم التربوية والنفسية، 4 (14)، 215-252.
5. القحطاني، علي. (2022). المهارات الرقمية اللازمة لمعلمي ومعلمات المرحلة الابتدائية لاستخدام منصة "مدرستي" ومستوى تمكنهم منها وعلاقتها ببعض المتغيرات [رسالة ماجستير غير منشورة]. الرياض، المملكة العربية السعودية: كليات الشرق العربي.
6. الملحي، خالد. (2021). قياس مستويات الكفايات الرقمية لمعلمي التعليم العام في مجال التحول الرقمي. المجلة التربوية، جامعة سوهاج، (87)، 1301- 1353.
7. المؤتمر الدولي الرابع. (2023، أغسطس 25-27). مؤتمر مستقبل التعليم الرقمي في الوطن العربي. مركز إثراء المعرفة للمؤتمرات والأبحاث والنشر العلمي، جدة، المملكة العربية السعودية.
8. موكلي، خالد. (2020). فاعلية التدريب على توظيف تطبيقات الأجهزة الذكية في تعزيز الكفايات المهنية التكنولوجية لدى معلمي التربية الخاصة قبل الخدمة بجامعة جازان. مجلة كلية التربية جامعة الأزهر، (186)، 367- 415.
9. الوكيل، محمود. (2022). فاعلية برنامج تدريبي قائم على التعلم الهجين لتنمية الكفايات التكنولوجية لدى معلمي التربية الموسيقية لتدريس الأنشطة الموسيقية في ظل جائحة كورونا. مجلة كلية التربية جامعة عين شمس، (46)، 181- 291.
References
1. AlFarani, L. b., & Al-Hujaili, S. b. (2020). Factors affecting teacher acceptance of the use of AI in education in light of the Unified Theory of Technology Acceptance and Use (UTAUT). The Journal of Educational and Psychological Sciences, 4(14), 215-252.
2. Alghamdi, S. F., & Alfarani, L. A. (2020). The reality of using female teachers at the special education schools to the educational applications of artificial intelligence (AI) and their attitude towards it. International Journal of Educational Psychological Studies (EPS), 8 (1), 57-76.
3. AlJubouri, M. A. (2021). The Degree of Geography Teachers’ Possession of Digital Competencies and the Factors That Affect the Possession of These Competencies [Unpublished Master Thesis]. Amman ,Jorden: Middle East University.
4. AlMalhi, K. b. (2021). Measuring the Levels of Digital Competencies of General Education Teachers in the Field of Digital Transformation. Educational Journal, Sohag University(87 ), 1301- 1353.
5. Alqahtani, A. S. (2022). The Digital Skills Required for Primary School Teachers to use "Madrasati" Platform and their Mastery Level and its Relationship to some Variables [Unpublished Master Thesis]. Riyadh, Saudi Arabia: Arab East Colleges for Graduate Studies.
6. Asiri, M. A. (2022). Electronic educational platforms and their role in developing the teachers digital competencies :madrasati platform as a model. The Arab Journal of Specific Education, 6(22), 437-464.
7. AlWakeel, M. A. (2022). The effectiveness of a training program based on hybrid learning to develop music teachers’ technological competencies to teach musical activities in Corona pandemic. Journal of the Faculty of Education, Ain Shams University(46 ), 181- 291.
8. Fourth International Conference. (2023, August 25-27). Conference on the future of digital education in the Arab world. Knowledge Enrichment Center for Conferences, Research and Scientific Publishing, Jeddah, Kingdom of Saudi Arabia.
9. Moukali, K. H. (2020). The effectiveness of training on employing smart devices applications in fostering of professional technological competencies of pre-service special education teachers at Jazan University. Journal of the Faculty of Education, Al-Azhar University(186 ), 367- 415.
10. Aldosari, S. A. (2020). The Future of Higher Education in the Light of Artificial Intelligence Transformations. International Journal of Higher Education, 9(3), 145-151.
11. Baral, C., & Giacomo, G. D. (2015). Knowledge Representation and Reasoning: What’s Hot. Association for the Advancement of Artificial.
12. Belém, C., Santos, L., & Leitão, A. (2019). On the Impact of Machine Learning Architecture without Architects? CAADFutures19 (pp. 274-293). Daejeon, Korea: The University of Lisbon.
13. Bright, C., Kotsireas, I., & Ganesh, V. (2020). Applying computer algebra systems with SAT solvers to the Williamson conjecture. Journal of Symbolic Computation, 100, 187-209.
14. Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The Promises and Challenges of Artifcial Intelligence for Teachers: a Systematic Review of Research. TechTrends, 66 , 616 -630.
15. Coppersmith, G., Leary, R., Crutchley, P., & Fine, A. (2018). Natural Language Processing of Social Media as Screening for Suicide Risk. Biomedical Informatics Insights, 10, 1-11.
16. Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4, 134-147.
17. Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 1-10.
18. Jorge-Vázquez, J., Alonso, S. L., Saltos, W. R., & Mendoza, S. P. (2021). Assessment of Digital Competencies of University Faculty and Their Conditioning Factors: Case Study in a Technological Adoption Context. Education Sciences, 11, 1-15.
19. Mohammed, A., Ali, R., & Alharbi, A. A. (2021). The Reality of Using Artificial Intelligence Techniques in Teacher Preparation Programs in Light of the Opinions of Faculty Members: A Case Study in Saudi Qassim University. Multicultural Education, 7(1), 5-12.
20. Moisuc, D.-A., & Avornicului, M.-C. (2015). Architectural model of expert systems. V International Symposium Engineering Management and Competitiveness 2015 (EMC 2015) (pp. 1-7). Zrenjanin, Serbia: University Cluj-Napoca.
21. Paje, Y. M., Rogayan, D. V., & Dantic, M. J. (2021). Teachers’ Utilization of Computer-Based Technology in Science Instruction. International Journal of Technology in Education and Science, 5(3), 427-446.
22. Pathak, A. (2022, October 29). Top 14 In-Demand Skills Required for AI Professionals. Retrieved from Geekflare: https://geekflare.com/skills-required-for-ai-professionals/
23. Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Sciendo, 135-153.
24. Salas-Pilco, S. Z., Xiao, K., & Oshima, J. (2022). Artificial Intelligence and New Technologies in Inclusive Education for Minority Students: A Systematic Review. Sustainability, 14, 1-17.
25. Tsankov, N., & Damyanov, I. (2019). The Digital Competence of Future Teachers: Self-Assessment in the Context of their Development. International Journal of Interactive Mobile Technologies (iJIM), 13(12), 4- 18.
26. Verma, M. (2018). Artificial intelligence and its scope in different areas with special reference to the field of education. International Journal of Advanced Educational Research, 3 (1 ), 5-10.
27. Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021. ternational Journal of STEM Education, 9, 1-20.
28. Yang, Y. (2021). Application of Artificial Intelligence Technology in Virtual Reality Animation Aided Production. Journal of Physics: Conference Series, 1744 , 1-7.