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Journal of Social Science Utilizing Technology
Published by Yayasan Adra Karima Hubbi
ISSN : 30265959     EISSN : 3026605X     DOI : 10.55849/jssut
Core Subject : Science, Education, Social,
Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other
Journal of Social Science Utilizing Technology focused on new research addressing Information, Management, Educational Technology, e-Learning, Media Management, Human Resources, Fine and Applied Arts, Humanities Social Sciences, General and Cross-Disciplinary and Communications Technologies as Applied to the Digital Worlds of Business, Government and Non-Governmental Enterprises. The Journal publishes work from all disciplinary, theoretical and methodological perspectives. It is designed to be read by researchers, scholars, teachers and advanced students in the fields of Information Systems, Management and Information Science, as well as information technology developers, consultants, software vendors, and senior business and information technology executives seeking an update on current experience and future prospects in relation to contemporary information and communications technologies.
Arjuna Subject : Umum - Umum
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 4 (2023)" : 6 Documents clear
Technology Revolution in Learning: Building the Future of Education Meisuri, Meisuri; Nuswantoro, Patriandi; Mardikawati, Budi; Judijanto, Loso
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.660

Abstract

Background. This research explores the impact of the technological revolution on learning, with a focus on teacher and student perceptions. In this digital era, technology integration has become the main foundation in the educational process. Purpose. The research aims to analyse the extent to which technology is integrated in learning, evaluate teachers' perceptions of the role of technology, assess the influence of technology in increasing student motivation and participation, and identify the main barriers to adopting technology. Method. This research method uses a quantitative research survey model with 15 education students selected by purposive sample. The data collection process included an initial questionnaire, direct observation of the use of technology in learning, and in-depth interviews. Results. The results of the study revealed that the use of technology has become a daily habit for education students, indicating significant integration of technology in the learning experience. The majority of respondents believe that technology can increase student motivation and have positive beliefs regarding the potential to personalize learning according to student needs. Conclusion. The conclusions of this study highlight the need for ongoing support for the development of teachers' technology skills, expanded integration of technology in the curriculum, and empowerment of students through technology to increase motivation and learning experiences. By adopting a thoughtful approach to the technological revolution in education, inclusive learning experiences and greater opportunities for innovation can be created, equipping students to face a future that is dynamic and responsive to technological change.
Integration of Artificial Intelligence Technology in Distance Learning in Higher Education Mahmudi, A. Aviv; Fionasari, Richa; Mardikawati, Budi; Judijanto, Loso
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.661

Abstract

Background. Higher education in this digital era is faced with significant changes, especially with the development of artificial intelligence (AI) technology. Purpose. This research aims to explore the potential and limitations of integrating AI technology in improving the quality of distance learning and present findings that can guide the development of AI-based pedagogy. Method. This research method adopts a quantitative survey approach to detail the integration of artificial intelligence (AI) technology in the context of distance learning in higher education. A total of 20 students were randomly selected as respondents, with sample selection using the purposive sampling method. This process ensures maximum representation of students who have significant experience with the integration of AI technology in their learning. Data was collected through questionnaires focused on effectiveness, adaptability of material, and level of interactivity during learning. Next, descriptive and inferential statistical analysis will analyze patterns and relationships between variables to explore the effectiveness of AI technology, the factors that influence it, and its impact on student learning experiences. Results. Survey results show that the majority of students actively use AI technology, especially several times a week, and express a high level of satisfaction with the use of AI technology in distance learning. Virtual Reality or Augmented Reality learning experiences were considered to benefit the most, even though all respondents experienced challenges or obstacles in using AI technology. Conclusion. The conclusions of this research emphasize the need to address these challenges to maximize the benefits of integrating AI technology in increasing the effectiveness and efficiency of distance learning in higher education.
Adaptive Learning Based on Artificial Intelligence to Overcome Student Academic Inequalities Ansor, Faridul; Zulkifli, Nur Aisyah; Jannah, Dwi Susi Miftakhul; Krisnaresanti, Aldila
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.663

Abstract

Background. In the context of higher education, academic inequality is a serious obstacle in achieving equitable learning outcomes among students. Factors such as educational background, learning styles, and differences in mastery of material are the main triggers for this inequality. To overcome this challenge, innovative approaches such as adaptive learning based on Artificial Intelligence (AI) have emerged as a potential solution. Purpose. This research aims to investigate the potential of AI-based adaptive learning in overcoming academic inequality among students. By combining AI technology, this research seeks to provide personalized solutions tailored to each student's learning needs. Method. This research uses quantitative methods with a survey model. A total of 20 respondents were selected representatively to provide their views on learning experiences, preferences and views regarding adaptive learning. This survey provides relevant data to understand whether the implementation of AI-based adaptive learning can be considered an effective measure to reduce academic inequality. Results. The research results show that the majority of respondents face difficulties in understanding course material in general. However, most also expressed openness to the use of AI-based adaptive learning. This positive perception can be an indication of the potential success of implementing this technology as a solution to overcome academic inequality. Conclusion. Taking into account the research results, AI-based adaptive learning is promising as a solution that can align the learning needs of individual students. Although implementation challenges remain, this research provides initial impetus for further exploration of the application of AI technologies in achieving academic equity in higher education settings.
Student Sentiment Analysis: Implementation of Artificial Intelligence in Improving Teaching Quality Judijanto, Loso; Aswamedhika, Aswamedhika; Aksan, Ismul; Mustofa, Idam
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.664

Abstract

Background. Higher education in this digital era is faced with significant changes, especially with the development of artificial intelligence (AI) technology. Purpose. This research aims to explore the potential and limitations of integrating AI technology in improving the quality of distance learning and present findings that can guide the development of AI-based pedagogy. Method. This research method adopts a quantitative survey approach to detail the integration of artificial intelligence (AI) technology in the context of distance learning in higher education. A total of 20 students were randomly selected as respondents, with sample selection using the purposive sampling method. This process ensures maximum representation of students who have significant experience with the integration of AI technology in their learning. Data was collected through questionnaires focused on effectiveness, adaptability of material, and level of interactivity during learning. Next, descriptive and inferential statistical analysis will analyze patterns and relationships between variables to explore the effectiveness of AI technology, the factors that influence it, and its impact on student learning experiences. Results. Survey results show that the majority of students actively use AI technology, especially several times a week, and express a high level of satisfaction with the use of AI technology in distance learning. Virtual Reality or Augmented Reality learning experiences were considered to benefit the most, even though all respondents experienced challenges or obstacles in using AI technology. Conclusion. The conclusions of this research emphasize the need to address these challenges to maximize the benefits of integrating AI technology in increasing the effectiveness and efficiency of distance learning in higher education.
Revitalizing The Higher Education Curriculum Through An Artificial Intelligence Approach: An Overview Sanasintani, Sanasintani
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.670

Abstract

Background. Higher education is faced with the challenges of global change which requires innovative curriculum adaptations. In this context, this research aims to develop practical guidelines for higher education institutions in implementing curriculum changes by utilizing artificial intelligence (AI). Purpose. The aim of the research is to develop practical guidelines for higher education institutions in order to implement innovative curriculum changes and responsive to global change. Method. Research methodology uses a quantitative approach with survey design. Identify key variables, including students’ understanding of AI, preferences for AI learning methods, and their views on its impact on the learning experience. The research process involved developing a comprehensive survey instrument with questions designed to gain in-depth insight into student perceptions. The research sample consisted of 20 respondents from higher education program students who were randomly selected. Surveys can be carried out online or through face-to-face interviews. Results. Data analysis involves statistical methods, including descriptive analysis, categorization, and coding to identify patterns in student responses. The survey results reflect a positive level of understanding (70%) and confidence (80%) of students in the role of AI in improving the quality of learning. There is a group that is neutral (20%), indicating the need for further understanding. Conclusion. The survey results create a comprehensive picture of student perceptions and preferences for AI in higher education. Most respondents showed positive acceptance of this technology, with about half expressing a preference for learning involving AI. Overall, this research provides a foundation for higher education institutions to design effective communication and expectation management strategies to ensure optimal acceptance and participation in AI implementation.
The Role of Artificial Intelligence-Based Recommendation Systems in Selection of Courses for Students Akbar, Zulfikri; Sopandi, Encep; Badruzzaman, Badruzzaman; Khalik, Muh Fihris
Journal of Social Science Utilizing Technology Vol. 1 No. 4 (2023)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i4.671

Abstract

Background. Modern higher education institutions are faced with complex challenges in developing curricula that suit students’ needs and interests. To overcome this challenge, artificial intelligence-based recommendation systems are an attractive alternative. This system can help students in selecting courses, providing suggestions that suit their interests and needs. Purpose. This research aims to understand students’ experiences and views on recommendation systems in selecting courses in higher education, with a focus on system effectiveness, level of student trust, and ease of use. The main objective is to identify the impact of recommendation systems on students’ academic decisions. Method. The research used a quantitative survey method of 20 students at universities by collecting data through online questionnaires. The results of the analysis show that the majority of respondents are experienced with the recommendation system, rely on it in selecting courses, and tend to follow the recommendations, as well as showing user satisfaction and the influence of the system on academic decisions. Results. The results of the study show that artificial intelligence-based recommendation systems play an important role in guiding students in their academic decision-making. However, there is a need for a deeper understanding of the factors that influence user satisfaction and system effectiveness. The interim conclusion emphasizes the need for further development and adjustment of the course recommendation system in order to increase its responsiveness to student needs. Conclusion. This conclusion is the basis for deeper reflection and the development of a course recommendation system that can more effectively meet student expectations and needs in the ever-developing era of higher education. In this way, this research has the potential to make a significant contribution to the development of more adaptive and responsive academic decision support systems.

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