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Journal : International Journal of Instructional Technology

A Comparative Study of Online and Physical Education in Pakistani Higher Education Institutions: Preferences, Effectiveness, and Challenges Sain, Zohaib Hassan; Thelma, Chanda Chansa; Adiyono, Adiyono; Lawal, Uthman Shehu
International Journal of Instructional Technology Vol 2, No 1 (2023)
Publisher : Universitas Nurul Jadid Probolinggo, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/ijit.v2i1.9363

Abstract

Combining online and physical education transformed Pakistan's higher education. This study compares educational methods' pros and cons. This study investigates Pakistani higher education institutions' instructional modes' performance, student choice, and challenges. Good mixed-methods study used quantitative and qualitative data. This extensive survey comprised 500 Pakistani public and private college students. Students, instructors, and administrators were carefully questioned to confirm the results. Theme analysis examined qualitative data, whereas descriptive statistics, t-tests, and regression analysis examined quantitative data. According to data, many students choose online education for its flexibility and convenience. Student engagement and success are lower in online education than in physical education. Physical education is superior to high-quality education despite logistical restrictions due to active involvement and controlled learning conditions. Technology, the digital divide, accessibility, and packed classrooms affect online and physical education. The paper recommends separate online and physical education for Pakistani higher education students. A hybrid paradigm combining both modalities' capabilities is proposed. These results show policymakers and educators require technical infrastructure, digital literacy, and inclusive education. All Pakistani children need these programs for a fair and practical education.
The Future of ChatGPT in the Pakistani Education System: Transforming Learning and Teaching Dynamics Sain, Zohaib Hassan; Thelma, Chanda Chansa
International Journal of Instructional Technology Vol 2, No 2 (2023)
Publisher : Universitas Nurul Jadid Probolinggo, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/ijit.v2i2.9355

Abstract

AI may change global education. ChatGPT may help Pakistan with overcrowded schools, teacher shortages, and resource limitations. According to a study, ChatGPT may enhance Pakistani education, teaching, and learning. This research suggests ChatGPT may boost Pakistani education. ChatGPT's influence on education, integrating concerns, and Pakistani education proposals are covered in the article. This research was quantitative and qualitative. Structured surveys of educators, students, and policymakers generated quantitative data, while semi-structured interviews were collected qualitatively. Urban-rural stratified sample. They evaluated qualitative data using regression, T-tests, and themes. Results demonstrate ChatGPT enhances Pakistani education. The survey showed teachers and students enjoyed ChatGPT's teaching and learning advantages. Testing showed ChatGPT enhanced student performance by 15%. According to qualitative research, ChatGPT may eliminate educational disparities in underprivileged areas despite concerns about digital infrastructure and teacher preparation. ChatGPT may enhance Pakistani education by improving learning, teaching, and access to high-quality education. It requires massive digital infrastructure expenditures, educator professional development, and government backing to succeed. Results impact politicians, educators, and technology. Education policymakers need frameworks like ChatGPT to use AI. AI and educator training must be culturally suitable. Pakistani educators get AI education research training and recommendations from this initiative.
Ethical Implications of AI and Machine Learning in Education: A Systematic Analysis Thelma, Chanda Chansa; Sain, Zohaib Hassan; Shogbesan, Yusuf Olayinka; Phiri, Edwin Vinandi; Akpan, Wisdom Matthew
International Journal of Instructional Technology Vol 3, No 1 (2024)
Publisher : Universitas Nurul Jadid Probolinggo, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/ijit.v3i1.9364

Abstract

Ethical considerations should be examined to determine how AI and ML affect education. Educational AI and ML bring privacy, security, and student data usage problems. This research examined AI and ML ethics in higher education at selected universities. Ethical issues AI and machine learning in education provide fairness, privacy, and openness. AI training data may perpetuate educational biases and impair student achievement. For complete comprehension, mixed methods research included quantitative and qualitative data. Four Lusaka district universities contributed 100 survey respondents. The initiative included four universities' department chairs, professors, and students. Structured open-ended interviews and questionnaires collected data. Quantitative questionnaire data was descriptively examined in SPSS and Excel, while semi-structured interview data was thematically evaluated. According to research, AI may reduce educational monitoring and learner engagement. Another concern is the digital gap and AI access. AI's sophisticated skills may be inaccessible to impoverished students, worsening educational inequity. The report advised training students and staff on data security and providing explicit permission procedures for data use in AI-driven educational systems, including strong encryption, anonymisation, and access limits.