Journal of Information Science Research and Practice

April - June

2024-06-01

Using Multimedia to Communicate Local Identity and Wisdom in the Digital Era

Chawanrat Srinounpan — 2024-08-03

In Process

Social Media Literacy Level of the Elderly in Muang District, Chiang Mai Province

Pinit Oatsachan — 2024-07-17

Purpose: This study examines the behavior and social media literacy level of the elderly in Muang District, Chiang Mai Province.

Methodology: This research used a quantitative method, using a questionnaire to collect data from 381 elderly people aged 60 years and over in Mueang District, Chiang Mai Province.

Findings:

The study results revealed that elderly people most frequently use social media in the morning, primarily through smartphones. They mainly use social media for communication, with YouTube being the most popular platform. The primary issue faced by the elderly in using social media is blurred vision, often due to deteriorating eyesight. The assessment of social media literacy among the elderly in Chiang Mai Province found that, overall, it is at a moderate level. The components with the highest average scores, indicating a high level of literacy, were element 2: analytical skills, and element 4: creative skills. Following these, at a moderate level, were element 3: media evaluation skills, element 5: participation skills, and element 1: accessibility skills

Applications of this study: The findings from this study can serve as a guideline for relevant agencies, such as the Chiang Mai Provincial Social Development and Human Security Office, public libraries, the Division of Social Welfare of Chiang Mai Municipality, and other subdistrict municipalities located in Mueang District. The focus should be on improving the skills identified as having the lowest average levels of social media literacy among the elderly. Additionally, it is recommended to use media to highlight the challenges faced by the elderly when using social media. This approach will help enhance their resilience to social media and future technologies.

Comparative Analysis of ARIMA and LSTM Models for Forecasting Bitcoin Prices: A Machine Learning Approach

Theeraphop Saengsri — 2024-08-03

In Process

A Structural Equation Model for the Development of Digital Skills in Undergraduate Students for the 21st Century

Narongrit Sukonthasing — 2024-06-15

Purpose: To analyze a structural equation model for the development of digital skills in undergraduate students for the 21^st century.

Methodology: This study is a quantitative research that used a questionnaire with a sample group of 400 undergraduate students from 12 higher education institutions. A multi-stage sampling method was employed, and the data were analyzed using structural equation modeling.

Findings: The results of the structural equation modeling analysis indicate that the model's fit indices are as follows: GFI = 0.98, CFI = 0.99, AGFI = 0.95, p-value = 0.11, and RMSEA = 0.02. These fit indices meet the specified criteria, leading to the conclusion that the developed digital literacy skills curricula for undergraduate students in higher education institutions is consistent with the empirical data. The detailed analysis results are as follows: 1) 21^st-century skills and collaboration skills together explain 88.0% of the variance in digital literacy skills. 2) 21^st-century skills and collaboration skills have a positive direct influence on digital literacy skills, with statistical significance at the 0.01 level. 3) The variable of 21^st-century skills has the highest influence on digital literacy skills, followed by collaboration skills.

Applications of this study: The results of this research can be used as a guideline for developing curricula in digital literacy skills for the 21^st century for undergraduate students in educational institutions, promoting their digital literacy skills for both learning and working.