Research studies

Employing artificial intelligence applications in teaching educational courses-a field study

 

Prepared by the researcher : Mohammed Salim Hamood Alsadi– PH.D. student at the Institute de Persse des Sciences de information- Manouba University in Tunisia

Democratic Arabic Center

Journal of Afro-Asian Studies : Twentieth Issue – February 2024

A Periodical International Journal published by the “Democratic Arab Center” Germany – Berlin

Nationales ISSN-Zentrum für Deutschland
ISSN  2628-6475
Journal of Afro-Asian Studies

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 Abstract

The study aimed to identify the relationship between the use of faculty members of artificial intelligence applications, and the extent of contributing to the publication of educational curricula, The study uses the quantitative approach and the survey to collect data. The sample consisted of (240) users of artificial intelligence applications in their field of work at Sultan Qaboos and Eastern University – Sultanate of Oman, Results show, there is a statistically significant correlation between faculty members’ use of artificial intelligence applications and the extent of their contribution to improving and disseminating educational courses. And the existence of statistical differences between faculty members’ use of interaction patterns with educational content via educational digital platforms supported by artificial intelligence technologies, according to the geographical distribution variable, In the direction of the faculty members – Sultan Qaboos University.

Introduction

Artificial intelligence applications have shown an effective role in the field of education and training, through their use in various ways in most educational fields thanks to chatbots that provide support to students through personal learning algorithms.

These applications also contribute to assisting in machine learning in various educational courses inside and outside educational institutions to meet their needs.

These applications have allowed workers in educational institutions to produce the contents of various media courses and broadcast them to students on digital platforms supported by artificial intelligence technologies in text, audio, and images. Because of its ability to store an enormous amount of information, creating an educational environment based on interactive learning through dialogue and participation between faculty members and students,

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Therefore, the study will focus on: Employing artificial intelligence applications in teaching educational courses.أسفل النموذج

Literature Review

Previous studies have varied between studies that focused on studying the reliance on artificial intelligence applications in teaching within higher education institutions.

In the context of reviewing studies related to the topic under the axis of related studies, using artificial intelligence applications in the university educational environment. By reviewing previous studies, the researcher concluded:

There are many studies that have confirmed the nature of the relationship between the use of artificial intelligence applications by faculty members and the extent of their contribution to the dissemination of educational materials.

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  • A study (Fatima Al Masad, Lina Al Frani, 2023) emphasized the importance of training secondary school teachers in using artificial intelligence application techniques in the educational environment.
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  • And also, a study (Wafa Fawaz, 2023, 95) showed that artificial intelligence has a role in enhancing the role of teachers, improving the performance of learners, and making the learning process more efficient.
  • A study revealed (Al-Zawaideh, Ghanimah, 2022, p 148-156). that artificial intelligence techniques have worked to improve English language proficiency among high school students.
  • A study (Hepp, Andreas, 2021). confirmed the effectiveness of using artificial intelligence platforms in education.

Research Problem

       The research problem seeks to answer the main question: What is the rate of using artificial intelligence applications in teaching educational courses?

The following sub-questions emerge from the main question:

  • Is there a relationship between the use of artificial intelligence applications by faculty members and the dissemination of educational curricula?
  • What are the differences between faculty members’ use of interaction patterns with educational content via educational digital platforms supported by artificial intelligence technologies, according to the geographical distribution variable?

Hypotheses

  • . There is a statistically significant correlation between the use of artificial intelligence applications by faculty members and the extent to which they contribute to the dissemination of educational decisions
  • There are statistically significant differences between faculty members’ use of interaction patterns with educational content via educational digital platforms supported by artificial intelligence technologies, according to the geographical distribution variable.

the importance of studying:

     The significance of this study lies in how media college professors benefit from applying artificial intelligence in their professional field. This is achieved by creating diverse educational content and delivering it to students through digital platforms to enhance communication skills, facilitate distance learning, and meet the educational objectives tailored to students’ needs. This helps in establishing an interactive educational environment where teachers and students engage in dialogue and collaboration, ultimately leading to significant outcomes related to the study topic.

The Study Objective:

        The study aims to identify the following main objective: The relationship between the use of artificial intelligence applications by faculty members and the teaching of educational curricula.

The following sub-goals emerge from this goal:

  • Showing the relationship between the use of artificial intelligence applications by faculty members and the extent to which they contribute to the dissemination of educational decisions
  • . Detecting the differences between faculty members’ use of interaction patterns with educational content via educational digital platforms supported by artificial intelligence technologies, according to the geographical distribution variable.

The Study Sample: 

      The study uses a sample of (240) individuals from Faculty members using artificial intelligence applications in their fields at of the two university of at Sultan Qaboos, and Al Sharqiyah – Oman, ; their ages range from (25: 30, 35 years or more). The reasons for the researcher’s selection of the study sample of Omani universities are due to:

  • The connection of these universities with the Omani educational environment and the researcher’s places of study.
  • Most university professors focus on using artificial intelligence applications in their respective fields in a mostly symbolic manner to enhance the educational system.
  • Most university professors focus on using artificial intelligence applications in their respective fields in a mostly symbolic manner to enhance the educational system.This is in accordance with the Oman Vision (2040 AD), and it was taken into account when selecting the sample that it be representative of males and females.
  • According to demographic variables, (20) questionnaires (researched) were deleted due to the lack of credibility and honesty. This is the sample that was used by (240) individuals of media professors from Omani universities, and can be described as follows:

Table (1) Description of the Study Sample According to Demographic Variables (n =240)

% F Demographics Characteristics
62.5% 150 Male Gender
37.5% 90 Female
81.25% 195 25: 30 Age

 

18.75% 45 35 years or more
14.58% 35 Professor Professional Level
33.34% 80 Assistant professor
52.08% 125 Instructor
68.75% 165 Faculty members – Sultan Qaboos University Geographical Distribution
31.25% 75 Faculty members -A’Sharqiyah University
100% 240 Total 

         The data in the previous table indicates the following:

  • Gender: Males came in first order (62.5%), while females came in second (37.5%). This may indicate that there is a difference in the nature and quality of the sample in universities sampled for the study, which indicates that males are more accustomed to these applications, which constitute an important source for disseminating educational curricula.
  • Age: The results showed that the age group (25: 30) had a high percentage of (81.25%), followed by the age group (35 years or more) with a percentage of (18.75%). This can be interpreted as the younger the age, e greater the Artificial intelligence applications used.
  • Professional Level: degree, the results of the study reveal that the members of the sample with the position of a Instructor come first at a rate of (52.08%), followed by assistant professor of (33.34%). followed by professor a rate of (14.58%).
  • Geographical Distribution the results of the study reveal that the members of the Faculty members – Sultan Qaboos University come first at a rate of (68.75%), followed by Faculty members -A’Sharqiyah University of (31.25%).

The Study Community

   The human community is represented in the. Faculty members at Oman universities, study sample.

The Study limitation

  • Human boundaries: represented in a sample of the from Faculty members using artificial intelligence applications in their fields at of the two university of at Sultan Qaboos, and Al Sharqiyah – Oman.
  • Objective boundaries: limited to the from Faculty members using artificial intelligence applications in teaching educational courses, These courses are ” Research Methodology, Educational statistics, Digital video production and editing skills, Interactive radio, Introduction to digital public relations, electronic journalism, Psychology course, Media readings in English.
  • Time limits: the period during which the researcher conducted a field study on a sample of Faculty members using artificial intelligence applications in their fields at of the two university of at Sultan Qaboos, and Al Sharqiyah – Oman. as the study was applied from 5/8/2023DA to 5/9/2023

The Study tools:

       A questionnaire newspaper was applied to a deliberate sample of (240) individuals from the Faculty members using artificial intelligence applications in their fields at of the two university of at Sultan Qaboos, and Al Sharqiyah – Oman. as the study was applied from 5/8/2023DA to 5/9/2023 DA.

The Study Type and Method:

      This study belongs to the descriptive analyses, which depend mainly on the use of the sample survey method. It is the ideal way to obtain quantitative and qualitative data for all paragraphs of the questionnaire.

The Study Variables:

  • The independent variable: Artificial intelligence applications.
  • Dependent variable: educational courses.

The Cognitive Framework:

Faculty members and media courses publishing through Artificial Intelligence Applications

      A team of professors from diverse academic fields, who are educationally trained and qualified, excel in utilizing modern technologies and cutting-edge technological applications in the realm of education.

    Artificial intelligence applications are systems that mimic human intelligence to carry out tasks and can enhance themselves based on the information they collect (Mohammed, 2021, p. 1690).

     Educational platforms powered by these apps assist students in finding educational materials that capture their interest, shared by teachers on interactive digital learning platforms enhanced with artificial intelligence tools.

“Many educational courses are published through of artificial intelligence applications, are utilized to deliver educational content to students in the university setting (Maram Abdul Rahman, 2018), including:

  • “iTalk2Learn” System Platform: It is designed to teach fractions and fulfill students’ cognitive needs.
  • Thinkster Math App: It is created to combine real-world math curriculum with personalized teaching methods for students to enhance their logical skills
  • Brainly Platform: It pertains to semester exam questions and homework assignments.
  • Otter Voice Notes App: It converts spoken lectures and conversations between people into text files, allowing for easy sharing with others (Ira Katznelson and Mark Kesselman,2014,13-14).
  • Social Networks: Artificial intelligence-driven learning platforms aim to enhance user engagement in digital spaces like “Facebook, Twitter, YouTube”.(Papadimitriou, Aristea, 2016, 1), These apps stand out for their capability in deep learning, analyzing words, images, and texts to interpret user posts, grasping their context and meaning through their proprietary algorithms. (Ozbay, Feyza Altunbey, and Bilal Alatas, 2020,540).
  • Expert Systems and Distance Learning: It aims to enhance learning, facilitate problem-solving, decision-making, and assess projects and research (Malikah, 2021, p. 140).

Engagement with educational content on these platforms occurs through various means, such as comments from the audience following them (Walaa Ibrahim, 2023, 612-613), It is a useful measure for assessing how effective the content published by institutions on their digital platforms is (Smith, Ronald D, 2021.255).

 The Procedures for Honesty and Reliability of the Questionnaire Sheet:

 Table (2) Cronbach’s alpha coefficient to measure the stability of the form (n =240)  

Cronbach’s alpha coefficient Field
0.90 Cronbach’s alpha coefficient for all paragraphs of the questionnaire   

      The data in the previous table indicates the following:

  • The value of Cronbach’s alpha coefficient came at a high rate of (0.90), which means that the stability coefficient is high. It also indicates no significant difference in the respondents’ responses and that the questionnaire sheet is valid for application.

 Statistical Analysis:

     After completing the data collection of the field study, the data was encoded and entered into the computer, then it was processed and analyzed and statistical results were extracted using the statistical package for social sciences program known as “SPSS”, by resorting to the following transactions, tests and statistical treatments, which are:

  • . Ratios and frequencies: The simple statistics of the questionnaire questions.
  • “person” correlation coefficient to measure the intensity and direction of the relationship between variables,
  • the (T-Test) was used to find the differences between the averages of the sample members

Hypotheses Test Results

The first hypothesis states that: There is a statistically significant correlation between the use of artificial intelligence applications by faculty members and the extent to which they contribute to the dissemination of educational courses.

Table (3) The relationship between he use of artificial intelligence applications by faculty members and the extent to which they contribute to the dissemination of educational courses (n = 240)

Publishing educational courses  

Variables

  The significance level The significance level The value of T  
  0.05  

0.01

0.31** Uses of communication applications on smartphones by teachers

* Significant at the level of (0.01)                             ** Significant at the level (0.05)                                The data in the table above indicates the following:

  • Using the Person correlation coefficient indicated a statistically significant correlation between the use of artificial intelligence applications by faculty members and the extent to which they contribute to the dissemination of educational The value of the correlation coefficient reached (0.31**), which is significant at the level of (0.01), and this can be interpreted as the moreby faculty members useof artificial intelligence applications, the more educational content will be disseminated in various disciplines.

The second hypothesis states that: There are statistically significant differences between faculty members’ use of interaction patterns with educational content via educational digital platforms supported by artificial intelligence technologies, according to the geographical distribution variable.

Table (4) The statistical differences between faculty members’ use of interaction patterns with educational content via educational digital platforms supported by artificial intelligence technologies, according to the geographical distribution variable   (n = 240)

Significance Level Significance Level the value of (T) Faculty members -A’Sharqiyah University Faculty members – Sultan Qaboos University  

 

Scale

 

 

0.05

 

 

0.01

**3.03 Total ranks Mean Total ranks Mean
0.58 2.35 0.62 2.55 Forms of communication applications on smartphones

* Significant at the level of (0.01)                            ** Significant at the level (0.05)

The data in the previous table indicates the following:

  • Using the T-Test, indicated statistically significant differences between faculty members’ use of interaction patterns with educational content via educational digital platforms supported by artificial intelligence technologies, according to the geographical distribution variable, and in the direction of Faculty members – Sultan Qaboos University, The value of (t) = (4.27**), and it is significant at the level of (0.01), This refers to the existence of trained and qualified educational communicators capable of using these applications and tools to interact professionally in order to facilitate the communication and interactive participation between teachers and students regarding educational subjects that interest them, in order to develop learning skills and keep up with technological advancements.

The results of the study in light of the hypotheses:

       After conducting the field study, we reached a set of results, the most important of which are:

  • The results showed a statistically significant correlation between the use of artificial intelligence applications by faculty members and the extent to which they contribute to the dissemination of educational courses, nd this can be interpreted as the moreby faculty members useof artificial intelligence applications, the more educational content will be disseminated in various disciplines.
  • The results revealed that there were statistically significant differences between faculty members’ use of interaction patterns with educational content via educational digital platforms supported by artificial intelligence technologies, according to the geographical distribution variable, and in the direction of Faculty members – Sultan Qaboos University, This refers to the existence of trained and qualified educational communicators capable of using these applications and tools to interact professionally in order to facilitate the communication and interactive participation between teachers and students regarding educational subjects that interest them, in order to develop learning skills and keep up with technological advancements.

 The study reached a set of recommendations, the most important of which are:

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  • Emphasizing the necessity of using modern technological applications in education and training teachers on utilizing advanced artificial intelligence techniques to produce educational content.
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  • Providing scientific laboratories with advanced technologies and devices connected to the internet to keep up with modern developments in the educational environment. This is for interaction between the professor and students on topics that interest them.
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Research Suggestions:

  • Teachers’ use of artificial intelligence applications and verified satisfactions.
  • Accreditation by the Professor of Media of augmented reality techniques in the educational environment.

References:

  • Asmaa Muhammad Mustafa Aram (2021). The Future of Journalists in the Age of Artificial Intelligence, research published in the Journal of Media Research, Al-Azhar University, Faculty of Information, Volume 4, Issue 58, July 2021DA.
  • Al-Zawaideh, Ganimah (2022). The Effectiveness of An Artificial Intelligence (AI)Applications on Fluency Performance Among Tenth Grade EFL Students, Review of International Geographical Education Online, Spring, Vol. 12 Issue 1, p148-156. 9p, Available at the following link: https://web.s.ebscohost.com
  • Fatima Al Massad, Lina Al-Farani (2023). Applications of artificial intelligence in education from the point of view of secondary school teachers, research published in the Journal of the Egyptian Educational Computer Society, Issue 1, Volume 11, June 2023
  • Hepp, Andreas (2020). “Artificial companions, social bots and work bots: communicative robots as research objects of media and communication studies.”Media, Culture Society, Available at the following link: https://journals.sagepub.com
  • Ira Katznelson and Mark Kesselman ( 2014). The Politics of Power : A Critical Introduction To American Government”, 3rd.ed, San Diego, Harcourt Brace Jovanovich Publishers.
  • Malika Mathok (2021). Artificial intelligence and the future of distance education, research published in the Journal of Studies in Development and Society, Algeria: Hasiba Ben Bouali University, Faculty of Humanities and Social Sciences, Volume 6, Issue 3, June 2021 AD.
  • Maram Abdel Rahman Makkawi (2018). Artificial intelligence at the gates of education, an article published in Al-Qafila magazine, available at the following link: https://qafilah.com
  • Ozbay, Feyza Altunbey, and Bilal Alatas. (2020). “Fake news detection within online social media using supervised artificial intelligence algorithms.”Physica A: Statistical Mechanics and its Applications,2020
  • Smith, Ronald D. (2021) Strategic Planning for Public Relations. (6th Edition). Routledge, 455
  • Walaa Ibrahim Akkad (2023). A study on how the public engages with the Facebook profiles of prominent female figures, published in the Journal of Media Research by Al-Azhar University, Faculty of Information, Issue 64, Volume 2, January 203 AD.
  • Wafa Fawaz Al-Maliki (2023). The role of artificial intelligence applications in enhancing educational devices in higher education, research published in the Journal of Educational and Psychological Sciences, Palestine: Gaza: National Research Center, Issue 5, Volume 7, February 2023 AD.
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