درجة وعي القيادات الأكاديمية في الجامعات الفلسطينية بالبيانات الضخمة والذكاء الاصطناعي وعلاقتها بفاعلية صنع القرار الجامعي (رسالة دكتوراه)
Date
2024-07-06
Authors
سندس محمد علي جاموس
Sondos Mohammad Ali Jamous
Journal Title
Journal ISSN
Volume Title
Publisher
Al-Quds University
Abstract
هدفت هذه الدراسة التعرف إلى درجة وعي القيادات الأكاديمية في الجامعات الفلسطينية "بالبيانات الضخمة والذكاء الاصطناعي" وعلاقتها بفاعلية صنع القرار الجامعي ، ولتحقيق أهداف الدراسة تم استخدام المنهج الوصفي الارتباطي، إذ تكون مجتمع الدراسة من جميع القيادات الأكاديمية في الجامعات الفلسطينية والبالغ عددهم (687) قائداً أكاديمياً، وبلغت عينة الدراسة (266) قائداً أكاديمياً، وقد تم استخدام أداة الاستبانة لجمع البيانات، وتكونت من (51) فقرة، وتم التحقق من صدقها وثباتها بالطرق التربوية والاحصائية المناسبة. وقد أظهرت نتائج الدراسة أن درجة وعي القيادات الأكاديمية في الجامعات الفلسطينية "بالبيانات الضخمة والذكاء الاصطناعي" جاءت بدرجة متوسطة، كما أظهرت نتائج الدراسة وجود دالة إحصائياً بين متوسطات تقديرات المبحوثين لمستوى وعي القيادات الأكاديمية في الجامعات الفلسطينية " بالبيانات الضخمة والذكاء الاصطناعي" تعزى لمتغيرات المركز الوظيفي والرتبة الأكاديمية وسنوات الخبرة في العمل الإداري الجامعي، كما أظهرت نتائج الدراسة أن مستوى فاعلية صنع القرار الجامعي لدى القيادات الأكاديمية في الجامعات الفلسطينية من وجهة نظرهم جاء بدرجة عالية، كما أظهرت نتائج الدراسة وجود فروق دالة إحصائياً بين متوسطات تقديرات المبحوثين لمستوى فاعلية صنع القرار الجامعي لدى القيادات الأكاديمية في الجامعات الفلسطينية تعزى لمتغيرات المركز الوظيفي والرتبة الاكاديمية وسنوات الخبرة في العمل الإداري الجامعي، كما أظهرت نتائج الدراسة وجود علاقة ارتباطية موجبة وقوية وذات دلالة إحصائية بين متغير وعي القيادات الأكاديمية في الجامعات الفلسطينية "بالبيانات الضخمة والذكاء الاصطناعي" وتقديراتهم لفاعلية صنع القرار الجامعي، وفي ضوء هذه النتائج أوصت الدراسة بتوعية القيادات الأكاديمية في الجامعات الفلسطينية بأهمية البيانات الضخمة والذكاء الاصطناعي ودورهما الكبير في فاعلية صنع القرار الجامعي، من خلال برامج تدريبية للقيادات الأكاديمية تشمل جلسات تعريفية بالمفاهيم ومن ثم دورات لتأسيس هذه المفاهيم وعمل ندوات مشتركة مع بقية الجامعات، و الاستفادة من تحليلات البيانات الضخمة في عملية صنع القرار الجامعي، من خلال تطبيق هذه الأدوات على البيانات الموجودة بالجامعة المنظمة وشبه المنظمة وغير المنظمة وربطها مع نماذج الذكاء الاصطناعي المصممة لصنع القرار الجامعي.
This study aimed to identify the degree of awareness of Palestinian universities academic leaders about big data and artificial intelligence and their relationship to the effectiveness of university decision-making. To achieve the objectives of the study, the correlational-descriptive methodology was used, where the study population consisted of all academic leaders in Palestinian universities, numbering (687) academic leaders. The study sample consisted of (266) academic leaders and the questionnaire tool was used to collect data. It consisted of (51) items. Its validity and reliability were verified using appropriate educational and statistical methods. The results of the study showed that the level of awareness of academic leaders in Palestinian universities about big data and artificial intelligence was medium. The results of the study also showed that there is a statistical significance between the averages of the respondents’ estimates of the level of awareness of academic leaders in Palestinian universities about “big data and artificial intelligence” due to the variables of job position, academic rank, and years of experience in university administrative work.. The results of the study also showed that the level of effectiveness of university decision-making among academic leaders in Palestinian universities, from their point of view, was high. The results of the study also showed that there are statistically significant differences between the averages of the respondents’ estimates of the level of effectiveness of university decision-making among academic leaders in Palestinian universities due to the variables of job position, academic rank, and years of experience in university administrative work. The results of the study also showed that there was a direct correlational relationship between the variable of awareness of academic leaders in Palestinian universities about "big data and artificial intelligence" and their estimates of the effectiveness of university decision-making. In light of these results, the study recommended raising awareness of academic leaders in Palestinian universities about the importance of big data and artificial intelligence and their major role in the effectiveness of university decision-making, through training programs for academic leaders that include introductory sessions on the concepts and then courses to establish these concepts and hold joint seminars with the rest of the universities, and benefit from big data analytics in the university decision-making process, by applying these tools to existing structured, semi-structured and unstructured university data and linking them with artificial intelligence models designed for university decision-making
This study aimed to identify the degree of awareness of Palestinian universities academic leaders about big data and artificial intelligence and their relationship to the effectiveness of university decision-making. To achieve the objectives of the study, the correlational-descriptive methodology was used, where the study population consisted of all academic leaders in Palestinian universities, numbering (687) academic leaders. The study sample consisted of (266) academic leaders and the questionnaire tool was used to collect data. It consisted of (51) items. Its validity and reliability were verified using appropriate educational and statistical methods. The results of the study showed that the level of awareness of academic leaders in Palestinian universities about big data and artificial intelligence was medium. The results of the study also showed that there is a statistical significance between the averages of the respondents’ estimates of the level of awareness of academic leaders in Palestinian universities about “big data and artificial intelligence” due to the variables of job position, academic rank, and years of experience in university administrative work.. The results of the study also showed that the level of effectiveness of university decision-making among academic leaders in Palestinian universities, from their point of view, was high. The results of the study also showed that there are statistically significant differences between the averages of the respondents’ estimates of the level of effectiveness of university decision-making among academic leaders in Palestinian universities due to the variables of job position, academic rank, and years of experience in university administrative work. The results of the study also showed that there was a direct correlational relationship between the variable of awareness of academic leaders in Palestinian universities about "big data and artificial intelligence" and their estimates of the effectiveness of university decision-making. In light of these results, the study recommended raising awareness of academic leaders in Palestinian universities about the importance of big data and artificial intelligence and their major role in the effectiveness of university decision-making, through training programs for academic leaders that include introductory sessions on the concepts and then courses to establish these concepts and hold joint seminars with the rest of the universities, and benefit from big data analytics in the university decision-making process, by applying these tools to existing structured, semi-structured and unstructured university data and linking them with artificial intelligence models designed for university decision-making