The Impact of Hybrid Retrieval Activities via Search Engines on Enhancing Awareness of Precautionary Aspects during Educational Emergencies for Middle School Students
Keywords:
Text Based Retrieval (TBR), Graphical Based Retrieval (GBIR), Video Based Retrieval (VBR), hybrid retrieval, search engines, awareness of precautionary aspects, educational emergencies
Abstract
The COVID-19 pandemic is the largest educational emergency in modern era, and the pandemic has opened the door for educational institutions to work and prepare to provide various alternatives in case of any emergency so that the educational process does not stop. With the frequency of educational emergencies after COVID-19, it is necessary to enhance students' awareness of the mechanisms and procedures for dealing with this emergency. As digital retrieval tools (textual, graphic, and video) are important tools that help in accessing multiple and diverse sources of information, the current research aimed to determine the impact of hybrid retrieval activities through search engines in enhancing awareness of precautionary aspects during educational emergencies. The research adopted the quasi-experimental method to compare the two research groups, where the experimental group is taught using hybrid retrieval activities through search engines, and the control group uses the usual method based on lectures and pamphlets. The research sample consisted of (60) middle school students, who were randomly distributed to the two research groups. Through the current research, a scale was developed to detect the level of awareness of precautionary measures, consisting of three axes, namely cognitive awareness, performance awareness, and psychological awareness, including (30) items. The results showed that the experimental group that used hybrid retrieval activities through search engines was favoured compared to the control group in terms of improving awareness levels of precautionary aspects during educational emergencies. The research recommended the need to expand the use of digital retrieval tools in educational activities within textbooks.
References
1. الحربي، هيا صالح سعود (2016). وعي المرأة السعودية بحقوق العاملة المنزلية. مجلة الآداب، جامعة الملك سعود، 28(2)، 69-107.
2. راف الله، عائشة على وعطا، سالي نبيل (2021). تحليل مسار العلاقات السببية بين الضغوط النفسية والتنظيم المعرفي الانفعالي ودافعية الإنجاز والانخراط في التعلم عن بعد لدى طلاب الجامعة في ظل جائحة كورونا (covide-19). مجلة البحث العلمي في التربية، 22(2)، 188-264.
3. منصور، رشدي فام (1997). حجم التأثير: الوجه المكمل للدلالة الإحصائية. المجلة المصرية للدراسات النفسية، 7(16)، 57-57.
4. Aarbakke, A. S. (2007). M2S and CAIR. Image based information retrieval in mobile environments. (Master thesis), Universitetet i Troms, Aarflot, Tjalve. Retrieved from https://hdl.handle.net/10037/1141
5. Abd El Bakey, F. M., Abo Shadi, G. I., & El-Refai, W. Y. (2023). A Mobile Training Context for In-Service Teachers: Methods of Training and Task Practice to Enhance E-Content Production Skills. International Journal of Emerging Technologies in Learning (iJET), 18(19), pp. 205-226. doi:10.3991/ijet.v18i19.37685
6. Ahmad, J., Mehmood, I., Rho, S., Chilamkurti, N., & Baik, S. W. (2017). Embedded deep vision in smart cameras for multi-view objects representation and retrieval. Computers & Electrical Engineering, 61, 297-311. doi:https://doi.org/10.1016/j.compeleceng.2017.05.033
7. Ahmed, O. H., Lee, H., & Struik, L. L. (2016). A picture tells a thousand words: A content analysis of concussion-related images online. Physical Therapy in Sport, 21, 82-86. doi:https://doi.org/10.1016/j.ptsp.2016.03.001
8. Al-Hafdi, F. S., & Alhalafawy, W. S. (2024). Ten Years of Gamification-Based Learning: A Bibliometric Analysis and Systematic Review. International Journal of Interactive Mobile Technologies (iJIM), 18(7), 1-25. doi:https://doi.org/10.3991/ijim.v18i07.45335
9. Al-Nasheri, A. A., & Alhalafawy, W. S. (2023). Opportunities and Challenges of Using Micro-learning during the Pandemic of COVID-19 from the Perspectives of Teachers. Journal for ReAttach Therapy and Developmental Diversities, 6(9s), 1195-1208.
10. Alanzi, N. S., & Alhalafawy, W. S. (2022a). Investigation The Requirements For Implementing Digital Platforms During Emergencies From The Point Of View Of Faculty Members: Qualitative Research. Journal of Positive School Psychology (JPSP), 9(6), 4910-4920.
11. Alanzi, N. S., & Alhalafawy, W. S. (2022b). A Proposed Model for Employing Digital Platforms in Developing the Motivation for Achievement Among Students of Higher Education During Emergencies. Journal of Positive School Psychology (JPSP), 6(9), 4921-4933.
12. Alhalafawy, W. S., Najmi, A. H., Zaki, M. Z. T., & Alharthi, M. H. (2021). Design an Adaptive Mobile Scaffolding System According to Students’ Cognitive Style Simplicity vs Complexity for Enhancing Digital Well-Being. International Journal of Interactive Mobile Technologies (iJIM), 15(13), pp. 108-127. doi:https://doi.org/10.3991/ijim.v15i13.21253
13. Alhalafawy, W. S., & Tawfiq, M. Z. (2014). The relationship between types of image retrieval and cognitive style in developing visual thinking skills. Life Science Journal, 11(9), 865-879.
14. Alhalafawy, W. S., & Zaki, M. Z. (2022). How has gamification within digital platforms affected self-regulated learning skills during the COVID-19 pandemic? Mixed-methods research. International Journal of Emerging Technologies in Learning (iJET), 17(6), 123-151. doi:https://doi.org/10.3991/ijet.v17i06.28885
15. Alhalafawy, W. S., & Zaki, M. Z. T. (2019). The Effect of Mobile Digital Content Applications Based on Gamification in the Development of Psychological Well-Being. International Journal of Interactive Mobile Technologies, 13(8).
16. Alshammary, F. M., & Alhalafawy, W. S. (2022). Sustaining Enhancement of Learning Outcomes across Digital Platforms during the COVID-19 Pandemic: A Systematic Review. Journal of Positive School Psychology, 6(9), 2279-2301.
17. Alshammary, F. M., & Alhalafawy, W. S. (2023). Digital Platforms and the Improvement of Learning Outcomes: Evidence Extracted from Meta-Analysis. Sustainability, 15(2), 1-21. doi:https://doi.org/10.3390/su15021305
18. Alsmadi, M. K. (2017). An efficient similarity measure for content based image retrieval using memetic algorithm. Egyptian Journal of Basic and Applied Sciences, 4(2), 112-122. doi:https://doi.org/10.1016/j.ejbas.2017.02.004
19. Alzahrani, F. K., & Alhalafawy, W. S. (2023). Gamification for Learning Sustainability in the Blackboard System: Motivators and Obstacles from Faculty Members’ Perspectives. Sustainability, 15(5), 4613. doi:doi.org/10.3390/su15054613
20. Alzahrani, F. K. J., & Alhalafawy, W. S. (2022). Benefits And Challenges Of Using Gamification Across Distance Learning Platforms At Higher Education: A Systematic Review Of Research Studies Published During The COVID-19 Pandemic. Journal of Positive School Psychology (JPSP), 6(10), 1948-1977.
21. Alzahrani, F. K. J., Alhalafawy, W. S., & Alshammary, F. M. (2023). Teachers’ Perceptions of Madrasati Learning Management System (LMS) at Public Schools in Jeddah. Journal of Arts, Literature, Humanities and Social Sciences(97), 345-363. doi:DOI: https://doi.org/10.33193/JALHSS.97.2023.941
22. Alzahrani, F. K. J., Alshammary, F. M., & Alhalafawy, W. S. (2022). Gamified Platforms: The Impact of Digital Incentives on Engagement in Learning During Covide-19 Pandemic. Cultural Management: Science and Education (CMSE), 7(2), 75-87. doi:10.30819/cmse.6-2.05
23. Ansari, A., & Mohammed, M. H. (2015). Content based video retrieval systems-methods, techniques, trends and challenges. International Journal of Computer Applications, 112(7).
24. Asanov, I., Flores, F., McKenzie, D., Mensmann, M., & Schulte, M. (2021). Remote-learning, time-use, and mental health of Ecuadorian high-school students during the COVID-19 quarantine. World Development, 138, 105225. doi:https://doi.org/10.1016/j.worlddev.2020.105225
25. Brandon, A. F., & All, A. C. (2010). Constructivism theory analysis and application to curricula. Nursing education perspectives, 31(2), 89-92.
26. Chan, A., Nickson, C., Rudolph, J., & Joynt, A. L. G. (2020). Social media for rapid knowledge dissemination: early experience from the COVID‐19 pandemic.
27. Chard, I. (2013). Share, Collaborate, Exploit Defining Mobile Web 2.0. Retrieved at
29. Crompton, H., Burke, D., Jordan, K., & Wilson, S. W. G. (2021). Learning with technology during emergencies: A systematic review of K-12 education. British journal of educational technology, 52(4), 1554-1575. doi:https://doi.org/10.1111/bjet.13114
30. Cui, C., Lin, P., Nie, X., Yin, Y., & Zhu, Q. (2017). Hybrid textual-visual relevance learning for content-based image retrieval. Journal of Visual Communication and Image Representation, 48, 367-374. doi:https://doi.org/10.1016/j.jvcir.2017.03.011
31. Dick, W., Carey, L., & Carey, J. O. (2001). The systematic design of instruction (5 ed.). New York: Addison-Wesley, Longman.
32. Fosnot, C. T. (2013). Constructivism: Theory, perspectives, and practice: Teachers College Press.
33. Frank, J. A., & Kapila, V. (2017). Mixed-reality learning environments: Integrating mobile interfaces with laboratory test-beds. Computers & Education, 110, 88-104. doi:https://doi.org/10.1016/j.compedu.2017.02.009
34. Giannoulakis, S., & Tsapatsoulis, N. (2016). Evaluating the descriptive power of Instagram hashtags. Journal of Innovation in Digital Ecosystems, 3(2), 114-129. doi:https://doi.org/10.1016/j.jides.2016.10.001
35. Haghani, M., Bliemer, M. C. J., Goerlandt, F., & Li, J. (2020). The scientific literature on Coronaviruses, COVID-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review. Safety Science, 104806. doi:https://doi.org/10.1016/j.ssci.2020.104806
36. Islam, S. M., Banerjee, M., Bhattacharyya, S., & Chakraborty, S. (2017). Content-based image retrieval based on multiple extended fuzzy-rough framework. Applied Soft Computing, 57, 102-117. doi:https://doi.org/10.1016/j.asoc.2017.03.036
37. Jin, H., Lu, L., Liu, J., & Cui, M. (2020). Complex emergencies of COVID-19: management and experience in Zhuhai, China. International Journal of Antimicrobial Agents, 105961. doi:https://doi.org/10.1016/j.ijantimicag.2020.105961
38. Killgore, W. D. S., Taylor, E. C., Cloonan, S. A., & Dailey, N. S. (2020). Psychological resilience during the COVID-19 lockdown. Psychiatry Research, 291, 113216. doi:https://doi.org/10.1016/j.psychres.2020.113216
39. Liu, Y., Zhang, D., Lu, G., & Ma, W.-Y. (2007). A survey of content-based image retrieval with high-level semantics. Pattern recognition, 40(1), 262-282.
40. Lokoč, J., Andreadis, S., Bailer, W., Duane, A., Gurrin, C., Ma, Z., . . . Rossetto, L. (2023). Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS. Multimedia Systems, 29(6), 3481-3504.
41. Mayer, R. E. (2005). The Cambridge handbook of multimedia learning: Cambridge university press.
42. Mok, K. H., Xiong, W., Ke, G., & Cheung, J. O. W. (2021). Impact of COVID-19 pandemic on international higher education and student mobility: Student perspectives from mainland China and Hong Kong. International Journal of Educational Research, 105, 101718. doi:https://doi.org/10.1016/j.ijer.2020.101718
43. Morett, L. M., Clegg, B. A., Blalock, L. D., & Mong, H. M. (2009). Applying multimedia learning theory to map learning and driving navigation. Transportation Research Part F: Traffic Psychology and Behaviour, 12(1), 40-49.
44. Najmi, A. H., Alhalafawy, W. S., & Zaki, M. Z. T. (2023). Developing a Sustainable Environment Based on Augmented Reality to Educate Adolescents about the Dangers of Electronic Gaming Addiction. Sustainability, 15(4), 3185. doi:https://doi.org/10.3390/su15043185
45. Neven Sr, H. (2013). Image base inquiry system for search engines for mobile telephones with integrated camera: Google Patents.
46. Paivio, A. (1991). Dual coding theory: Retrospect and current status. Canadian Journal of Psychology/Revue canadienne de psychologie, 45(3), 255.
47. Pedronette, D. C. G., & Torres, R. d. S. (2017). Unsupervised rank diffusion for content-based image retrieval. Neurocomputing, 260, 478-489. doi:https://doi.org/10.1016/j.neucom.2017.04.062
48. Phungsuk, R., Viriyavejakul, C., & Ratanaolarn, T. (2017). Development of a problem-based learning model via a virtual learning environment. Kasetsart Journal of Social Sciences, 38(3), 297-306. doi:https://doi.org/10.1016/j.kjss.2017.01.001
49. Pieterse, A. L., Lee, M., Ritmeester, A., & Collins, N. M. (2013). Towards a model of self-awareness development for counselling and psychotherapy training. Counselling Psychology Quarterly, 26(2), 190-207.
50. Raheja, K., & Gupta, D. (2011). To Study the Ways to Annotate Images Manual, Semi-Automatic and Fully Automatic in M2S and CAIR. International Journal of Computer Science and Information Technologies (IJCSIT), 2, 1725-1728.
51. Rao, M. B., Rao, B. P., & Govardhan, A. (2011). Content based image retrieval using dominant color, texture and shape. International Journal of Engineering Science and Technology (IJEST), 3(4), 2887-2896.
52. Roy, D., Tripathy, S., Kar, S. K., Sharma, N., Verma, S. K., & Kaushal, V. (2020). Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian Journal of Psychiatry, 51, 102083. doi:https://doi.org/10.1016/j.ajp.2020.102083
53. Sakhare, S. V., & Nasre, V. G. (2011). Design of feature extraction in content based image retrieval (CBIR) using color and texture. International Journal of Computer Science & Informatics, 1(II).
54. Saleem, R. Y., Zaki, M. Z., & Alhalafawy, W. S. (2024). Improving awareness of foreign domestic workers during the COVID-19 pandemic using infographics: An experience during the crisis. Journal of Infrastructure, Policy and Development, 8(5).
55. Santos, M. E. C., Chen, A., Taketomi, T., Yamamoto, G., Miyazaki, J., & Kato, H. (2014). Augmented reality learning experiences: Survey of prototype design and evaluation. IEEE Transactions on learning technologies, 7(1), 38-56.
56. Squire, D. M., Müller, W., Müller, H., & Pun, T. (2000). Content-based query of image databases: inspirations from text retrieval. Pattern Recognition Letters, 21(13-14), 1193-1198.
57. United Nations. (2008). Right to education in emergency situations : report of the Special Rapporteur on the Right to Education. UN. Human Rights Council. Special Rapporteur on the Right to Education.
58. Vani, V., & Raju, S. (2010). A detailed survey on query by image content techniques. Paper presented at the International Conference on Networking, VLSI and Signal Processing.
59. Wilson, J. L., Hampton, D., Hensley, A., Culp-Roche, A., De Jong, M. J., Chase-Cantarini, S., & Wiggins, A. T. (2021). A Multicenter Study About Resilience of Nursing Students and Faculty in Online Courses. Journal of Professional Nursing, 37(5), 894-899. doi:https://doi.org/10.1016/j.profnurs.2021.07.005
60. Wu, J., Feng, L., Liu, S., & Sun, M. (2017). Image retrieval framework based on texton uniform descriptor and modified manifold ranking. Journal of Visual Communication and Image Representation, 49, 78-88. doi:https://doi.org/10.1016/j.jvcir.2017.08.002
61. Yen, J. C., Lee, C. Y., & Chen, I. J. (2012). The effects of image‐based concept mapping on the learning outcomes and cognitive processes of mobile learners. British journal of educational technology, 43(2), 307-320.
62. Zeidan, A. A., Alhalafawy, W. S., & Tawfiq, M. Z. (2017). The Effect of (Macro/Micro) Wiki Content Organization on Developing Metacognition Skills. Life Science Journal, 14(12).
63. Zeidan, A. A., Alhalafawy, W. S., Tawfiq, M. Z., & Abdelhameed, W. R. (2015). The effectiveness of some e-blogging patterns on developing the informational awareness for the educational technology innovations and the King Abdul-Aziz University postgraduate students' attitudes towards it. Life Science Journal, 12(12).
64. Zhang, W., Wang, Y., Yang, L., & Wang, C. (2020). Suspending Classes Without Stopping Learning: China’s Education Emergency Management Policy in the COVID-19 Outbreak: Multidisciplinary Digital Publishing Institute.
65. Zhong, B.-L., Luo, W., Li, H.-M., Zhang, Q.-Q., Liu, X.-G., Li, W.-T., & Li, Y. (2020). Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. International journal of biological sciences, 16(10), 1745.
66. Zhu, G., Yan, S., & Ma, Y. (2010). Image tag refinement towards low-rank, content-tag prior and error sparsity. Paper presented at the Proceedings of the 18th ACM international conference on Multimedia.
2. راف الله، عائشة على وعطا، سالي نبيل (2021). تحليل مسار العلاقات السببية بين الضغوط النفسية والتنظيم المعرفي الانفعالي ودافعية الإنجاز والانخراط في التعلم عن بعد لدى طلاب الجامعة في ظل جائحة كورونا (covide-19). مجلة البحث العلمي في التربية، 22(2)، 188-264.
3. منصور، رشدي فام (1997). حجم التأثير: الوجه المكمل للدلالة الإحصائية. المجلة المصرية للدراسات النفسية، 7(16)، 57-57.
4. Aarbakke, A. S. (2007). M2S and CAIR. Image based information retrieval in mobile environments. (Master thesis), Universitetet i Troms, Aarflot, Tjalve. Retrieved from https://hdl.handle.net/10037/1141
5. Abd El Bakey, F. M., Abo Shadi, G. I., & El-Refai, W. Y. (2023). A Mobile Training Context for In-Service Teachers: Methods of Training and Task Practice to Enhance E-Content Production Skills. International Journal of Emerging Technologies in Learning (iJET), 18(19), pp. 205-226. doi:10.3991/ijet.v18i19.37685
6. Ahmad, J., Mehmood, I., Rho, S., Chilamkurti, N., & Baik, S. W. (2017). Embedded deep vision in smart cameras for multi-view objects representation and retrieval. Computers & Electrical Engineering, 61, 297-311. doi:https://doi.org/10.1016/j.compeleceng.2017.05.033
7. Ahmed, O. H., Lee, H., & Struik, L. L. (2016). A picture tells a thousand words: A content analysis of concussion-related images online. Physical Therapy in Sport, 21, 82-86. doi:https://doi.org/10.1016/j.ptsp.2016.03.001
8. Al-Hafdi, F. S., & Alhalafawy, W. S. (2024). Ten Years of Gamification-Based Learning: A Bibliometric Analysis and Systematic Review. International Journal of Interactive Mobile Technologies (iJIM), 18(7), 1-25. doi:https://doi.org/10.3991/ijim.v18i07.45335
9. Al-Nasheri, A. A., & Alhalafawy, W. S. (2023). Opportunities and Challenges of Using Micro-learning during the Pandemic of COVID-19 from the Perspectives of Teachers. Journal for ReAttach Therapy and Developmental Diversities, 6(9s), 1195-1208.
10. Alanzi, N. S., & Alhalafawy, W. S. (2022a). Investigation The Requirements For Implementing Digital Platforms During Emergencies From The Point Of View Of Faculty Members: Qualitative Research. Journal of Positive School Psychology (JPSP), 9(6), 4910-4920.
11. Alanzi, N. S., & Alhalafawy, W. S. (2022b). A Proposed Model for Employing Digital Platforms in Developing the Motivation for Achievement Among Students of Higher Education During Emergencies. Journal of Positive School Psychology (JPSP), 6(9), 4921-4933.
12. Alhalafawy, W. S., Najmi, A. H., Zaki, M. Z. T., & Alharthi, M. H. (2021). Design an Adaptive Mobile Scaffolding System According to Students’ Cognitive Style Simplicity vs Complexity for Enhancing Digital Well-Being. International Journal of Interactive Mobile Technologies (iJIM), 15(13), pp. 108-127. doi:https://doi.org/10.3991/ijim.v15i13.21253
13. Alhalafawy, W. S., & Tawfiq, M. Z. (2014). The relationship between types of image retrieval and cognitive style in developing visual thinking skills. Life Science Journal, 11(9), 865-879.
14. Alhalafawy, W. S., & Zaki, M. Z. (2022). How has gamification within digital platforms affected self-regulated learning skills during the COVID-19 pandemic? Mixed-methods research. International Journal of Emerging Technologies in Learning (iJET), 17(6), 123-151. doi:https://doi.org/10.3991/ijet.v17i06.28885
15. Alhalafawy, W. S., & Zaki, M. Z. T. (2019). The Effect of Mobile Digital Content Applications Based on Gamification in the Development of Psychological Well-Being. International Journal of Interactive Mobile Technologies, 13(8).
16. Alshammary, F. M., & Alhalafawy, W. S. (2022). Sustaining Enhancement of Learning Outcomes across Digital Platforms during the COVID-19 Pandemic: A Systematic Review. Journal of Positive School Psychology, 6(9), 2279-2301.
17. Alshammary, F. M., & Alhalafawy, W. S. (2023). Digital Platforms and the Improvement of Learning Outcomes: Evidence Extracted from Meta-Analysis. Sustainability, 15(2), 1-21. doi:https://doi.org/10.3390/su15021305
18. Alsmadi, M. K. (2017). An efficient similarity measure for content based image retrieval using memetic algorithm. Egyptian Journal of Basic and Applied Sciences, 4(2), 112-122. doi:https://doi.org/10.1016/j.ejbas.2017.02.004
19. Alzahrani, F. K., & Alhalafawy, W. S. (2023). Gamification for Learning Sustainability in the Blackboard System: Motivators and Obstacles from Faculty Members’ Perspectives. Sustainability, 15(5), 4613. doi:doi.org/10.3390/su15054613
20. Alzahrani, F. K. J., & Alhalafawy, W. S. (2022). Benefits And Challenges Of Using Gamification Across Distance Learning Platforms At Higher Education: A Systematic Review Of Research Studies Published During The COVID-19 Pandemic. Journal of Positive School Psychology (JPSP), 6(10), 1948-1977.
21. Alzahrani, F. K. J., Alhalafawy, W. S., & Alshammary, F. M. (2023). Teachers’ Perceptions of Madrasati Learning Management System (LMS) at Public Schools in Jeddah. Journal of Arts, Literature, Humanities and Social Sciences(97), 345-363. doi:DOI: https://doi.org/10.33193/JALHSS.97.2023.941
22. Alzahrani, F. K. J., Alshammary, F. M., & Alhalafawy, W. S. (2022). Gamified Platforms: The Impact of Digital Incentives on Engagement in Learning During Covide-19 Pandemic. Cultural Management: Science and Education (CMSE), 7(2), 75-87. doi:10.30819/cmse.6-2.05
23. Ansari, A., & Mohammed, M. H. (2015). Content based video retrieval systems-methods, techniques, trends and challenges. International Journal of Computer Applications, 112(7).
24. Asanov, I., Flores, F., McKenzie, D., Mensmann, M., & Schulte, M. (2021). Remote-learning, time-use, and mental health of Ecuadorian high-school students during the COVID-19 quarantine. World Development, 138, 105225. doi:https://doi.org/10.1016/j.worlddev.2020.105225
25. Brandon, A. F., & All, A. C. (2010). Constructivism theory analysis and application to curricula. Nursing education perspectives, 31(2), 89-92.
26. Chan, A., Nickson, C., Rudolph, J., & Joynt, A. L. G. (2020). Social media for rapid knowledge dissemination: early experience from the COVID‐19 pandemic.
27. Chard, I. (2013). Share, Collaborate, Exploit Defining Mobile Web 2.0. Retrieved at
29. Crompton, H., Burke, D., Jordan, K., & Wilson, S. W. G. (2021). Learning with technology during emergencies: A systematic review of K-12 education. British journal of educational technology, 52(4), 1554-1575. doi:https://doi.org/10.1111/bjet.13114
30. Cui, C., Lin, P., Nie, X., Yin, Y., & Zhu, Q. (2017). Hybrid textual-visual relevance learning for content-based image retrieval. Journal of Visual Communication and Image Representation, 48, 367-374. doi:https://doi.org/10.1016/j.jvcir.2017.03.011
31. Dick, W., Carey, L., & Carey, J. O. (2001). The systematic design of instruction (5 ed.). New York: Addison-Wesley, Longman.
32. Fosnot, C. T. (2013). Constructivism: Theory, perspectives, and practice: Teachers College Press.
33. Frank, J. A., & Kapila, V. (2017). Mixed-reality learning environments: Integrating mobile interfaces with laboratory test-beds. Computers & Education, 110, 88-104. doi:https://doi.org/10.1016/j.compedu.2017.02.009
34. Giannoulakis, S., & Tsapatsoulis, N. (2016). Evaluating the descriptive power of Instagram hashtags. Journal of Innovation in Digital Ecosystems, 3(2), 114-129. doi:https://doi.org/10.1016/j.jides.2016.10.001
35. Haghani, M., Bliemer, M. C. J., Goerlandt, F., & Li, J. (2020). The scientific literature on Coronaviruses, COVID-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review. Safety Science, 104806. doi:https://doi.org/10.1016/j.ssci.2020.104806
36. Islam, S. M., Banerjee, M., Bhattacharyya, S., & Chakraborty, S. (2017). Content-based image retrieval based on multiple extended fuzzy-rough framework. Applied Soft Computing, 57, 102-117. doi:https://doi.org/10.1016/j.asoc.2017.03.036
37. Jin, H., Lu, L., Liu, J., & Cui, M. (2020). Complex emergencies of COVID-19: management and experience in Zhuhai, China. International Journal of Antimicrobial Agents, 105961. doi:https://doi.org/10.1016/j.ijantimicag.2020.105961
38. Killgore, W. D. S., Taylor, E. C., Cloonan, S. A., & Dailey, N. S. (2020). Psychological resilience during the COVID-19 lockdown. Psychiatry Research, 291, 113216. doi:https://doi.org/10.1016/j.psychres.2020.113216
39. Liu, Y., Zhang, D., Lu, G., & Ma, W.-Y. (2007). A survey of content-based image retrieval with high-level semantics. Pattern recognition, 40(1), 262-282.
40. Lokoč, J., Andreadis, S., Bailer, W., Duane, A., Gurrin, C., Ma, Z., . . . Rossetto, L. (2023). Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS. Multimedia Systems, 29(6), 3481-3504.
41. Mayer, R. E. (2005). The Cambridge handbook of multimedia learning: Cambridge university press.
42. Mok, K. H., Xiong, W., Ke, G., & Cheung, J. O. W. (2021). Impact of COVID-19 pandemic on international higher education and student mobility: Student perspectives from mainland China and Hong Kong. International Journal of Educational Research, 105, 101718. doi:https://doi.org/10.1016/j.ijer.2020.101718
43. Morett, L. M., Clegg, B. A., Blalock, L. D., & Mong, H. M. (2009). Applying multimedia learning theory to map learning and driving navigation. Transportation Research Part F: Traffic Psychology and Behaviour, 12(1), 40-49.
44. Najmi, A. H., Alhalafawy, W. S., & Zaki, M. Z. T. (2023). Developing a Sustainable Environment Based on Augmented Reality to Educate Adolescents about the Dangers of Electronic Gaming Addiction. Sustainability, 15(4), 3185. doi:https://doi.org/10.3390/su15043185
45. Neven Sr, H. (2013). Image base inquiry system for search engines for mobile telephones with integrated camera: Google Patents.
46. Paivio, A. (1991). Dual coding theory: Retrospect and current status. Canadian Journal of Psychology/Revue canadienne de psychologie, 45(3), 255.
47. Pedronette, D. C. G., & Torres, R. d. S. (2017). Unsupervised rank diffusion for content-based image retrieval. Neurocomputing, 260, 478-489. doi:https://doi.org/10.1016/j.neucom.2017.04.062
48. Phungsuk, R., Viriyavejakul, C., & Ratanaolarn, T. (2017). Development of a problem-based learning model via a virtual learning environment. Kasetsart Journal of Social Sciences, 38(3), 297-306. doi:https://doi.org/10.1016/j.kjss.2017.01.001
49. Pieterse, A. L., Lee, M., Ritmeester, A., & Collins, N. M. (2013). Towards a model of self-awareness development for counselling and psychotherapy training. Counselling Psychology Quarterly, 26(2), 190-207.
50. Raheja, K., & Gupta, D. (2011). To Study the Ways to Annotate Images Manual, Semi-Automatic and Fully Automatic in M2S and CAIR. International Journal of Computer Science and Information Technologies (IJCSIT), 2, 1725-1728.
51. Rao, M. B., Rao, B. P., & Govardhan, A. (2011). Content based image retrieval using dominant color, texture and shape. International Journal of Engineering Science and Technology (IJEST), 3(4), 2887-2896.
52. Roy, D., Tripathy, S., Kar, S. K., Sharma, N., Verma, S. K., & Kaushal, V. (2020). Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian Journal of Psychiatry, 51, 102083. doi:https://doi.org/10.1016/j.ajp.2020.102083
53. Sakhare, S. V., & Nasre, V. G. (2011). Design of feature extraction in content based image retrieval (CBIR) using color and texture. International Journal of Computer Science & Informatics, 1(II).
54. Saleem, R. Y., Zaki, M. Z., & Alhalafawy, W. S. (2024). Improving awareness of foreign domestic workers during the COVID-19 pandemic using infographics: An experience during the crisis. Journal of Infrastructure, Policy and Development, 8(5).
55. Santos, M. E. C., Chen, A., Taketomi, T., Yamamoto, G., Miyazaki, J., & Kato, H. (2014). Augmented reality learning experiences: Survey of prototype design and evaluation. IEEE Transactions on learning technologies, 7(1), 38-56.
56. Squire, D. M., Müller, W., Müller, H., & Pun, T. (2000). Content-based query of image databases: inspirations from text retrieval. Pattern Recognition Letters, 21(13-14), 1193-1198.
57. United Nations. (2008). Right to education in emergency situations : report of the Special Rapporteur on the Right to Education. UN. Human Rights Council. Special Rapporteur on the Right to Education.
58. Vani, V., & Raju, S. (2010). A detailed survey on query by image content techniques. Paper presented at the International Conference on Networking, VLSI and Signal Processing.
59. Wilson, J. L., Hampton, D., Hensley, A., Culp-Roche, A., De Jong, M. J., Chase-Cantarini, S., & Wiggins, A. T. (2021). A Multicenter Study About Resilience of Nursing Students and Faculty in Online Courses. Journal of Professional Nursing, 37(5), 894-899. doi:https://doi.org/10.1016/j.profnurs.2021.07.005
60. Wu, J., Feng, L., Liu, S., & Sun, M. (2017). Image retrieval framework based on texton uniform descriptor and modified manifold ranking. Journal of Visual Communication and Image Representation, 49, 78-88. doi:https://doi.org/10.1016/j.jvcir.2017.08.002
61. Yen, J. C., Lee, C. Y., & Chen, I. J. (2012). The effects of image‐based concept mapping on the learning outcomes and cognitive processes of mobile learners. British journal of educational technology, 43(2), 307-320.
62. Zeidan, A. A., Alhalafawy, W. S., & Tawfiq, M. Z. (2017). The Effect of (Macro/Micro) Wiki Content Organization on Developing Metacognition Skills. Life Science Journal, 14(12).
63. Zeidan, A. A., Alhalafawy, W. S., Tawfiq, M. Z., & Abdelhameed, W. R. (2015). The effectiveness of some e-blogging patterns on developing the informational awareness for the educational technology innovations and the King Abdul-Aziz University postgraduate students' attitudes towards it. Life Science Journal, 12(12).
64. Zhang, W., Wang, Y., Yang, L., & Wang, C. (2020). Suspending Classes Without Stopping Learning: China’s Education Emergency Management Policy in the COVID-19 Outbreak: Multidisciplinary Digital Publishing Institute.
65. Zhong, B.-L., Luo, W., Li, H.-M., Zhang, Q.-Q., Liu, X.-G., Li, W.-T., & Li, Y. (2020). Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. International journal of biological sciences, 16(10), 1745.
66. Zhu, G., Yan, S., & Ma, Y. (2010). Image tag refinement towards low-rank, content-tag prior and error sparsity. Paper presented at the Proceedings of the 18th ACM international conference on Multimedia.
Published
2024-04-11
How to Cite
Dr. Marwa Zaki Tawfiq Zaki, Dr. Walid Yousry Abd El-Hai El-Refai, Shurooq Othman Jari Alamri, & Prof. Dr. Waleed Salim Mohamed Alhalafwy. (2024). The Impact of Hybrid Retrieval Activities via Search Engines on Enhancing Awareness of Precautionary Aspects during Educational Emergencies for Middle School Students. Journal of Educational and Human Sciences, (34), 21-42. https://doi.org/10.33193/JEAHS.34.2024.468
Issue
Section
المقالات
