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2 results on '"Kanitta Poonpirome"'

1. Generative-AI, a Learning Assistant? Factors Influencing Higher-Ed Students' Technology Acceptance

Author

Kraisila Kanont, Pawarit Pingmuang, Thewawuth Simasathien, Suchaya Wisnuwong, Benz Wiwatsiripong, Kanitta Poonpirome, Noawanit Songkram, and Jintavee Khlaisang

Abstract

This study investigates the factors influencing the adoption of Generative-AI tools amongst Thai university students, employing the Technology Acceptance Model (TAM) as a theoretical framework. Data from 911 higher education students from 10 different Thai Universities Health Sciences, Sciences and Technology, Social Sciences and Humanities, and Vocational Fields were analysed via Structural Equation Modelling (SEM). The instrument used in collecting the data was a questionnaire. Results indicated that Expected Benefits, Perceived Usefulness, Attitude Toward Technology, and Behavioural Intention all significantly impacted student adoption of Generative AI. Intriguingly, Perceived Ease of Use was negatively correlated with Perceived Usefulness, challenging conventional TAM assumptions. This study underscores the need to address language barriers, foster a culture of innovation, and establish ethical guidelines to promote responsible AI use within education. Despite inherent limitations, this research contributes to our understanding of AI adoption in educational settings and helps inform strategies for equitable access and responsible innovation. The result demonstrated that the easier a tool was to use, the less value leaners seemed to see in it for their learning process. It can be implied that as Generative AI get more intuitive, learners think they're less helpful. These finding challenges a few of those assumptions we usually make within the TAM model. It also points out the characteristic of learners which affects their learning preferences and expectation. Another finding showed the impact of language barrier on non-native English speaker that obstruct the user experience in AI services. Moreover, the role of universities in fostering both AI integration for learning for and the ethical implementation of Generative AI. By providing a supportive environment that encourages AI experimentation, redesign learning, empowering learners and faculty instructors to investigate how Generative AI can be applied across disciplines, and developing guidelines for ethical use, universities play a critical role in shaping the effective and responsible integration of AI into the next educational landscape.

Published
2024

2. Messenger RNA expression of monocyte chemoattractant protein-1 and interleukin-6 in stone-containing kidneys

Author

Chanchai Boonla, Kriang Tungsanga, Kanitta Poonpirome, Chanutra Hunapathed, Pichet Sampatanukul, Piyaratana Tosukhowong, and Sombat Bovornpadungkitti

Subjects
Male, Nephrology, medicine.medical_specialty, Urology, Urinary system, medicine.medical_treatment, Renal function, Inflammation, Kidney, Nephrolithiasis, Pathogenesis, Internal medicine, medicine, Humans, RNA, Messenger, Chemokine CCL2, Aged, Nephritis, Interleukin-6, Reverse Transcriptase Polymerase Chain Reaction, business.industry, Middle Aged, medicine.disease, Kidney Neoplasms, Nephrectomy, Oxidative Stress, Endocrinology, Case-Control Studies, Female, Kidney stones, medicine.symptom, business, Kidney disease
Abstract

OBJECTIVES To investigate the intrarenal mRNA expression of monocyte chemoattractant protein-1 (MCP-1) and interleukin-6 (IL-6) in patients with nephrolithiasis, and to evaluate whether their expression is associated with renal function, as oxidative stress and inflammation are involved in the pathogenesis of nephrolithiasis. PATIENTS, SUBJECTS AND METHODS Renal biopsies from near the stone, and blood and 24-h urine specimens were collected from 29 patients with nephrolithiasis. Control renal tissues were taken from non-cancerous and cancerous portions of nephrectomy from six patients with renal cancers, and control 24-h urine samples were obtained from 30 healthy subjects. Corrected creatinine clearance, urinary N-acetyl-β-glucosaminidase activity and 8-hydroxy-deoxyguanosine (8-OHdG) were determined. The mRNA expressions of MCP-1 and IL-6 in the tissues were measured by real time reverse transcription-polymerase chain reaction. RESULTS Patients with nephrolithiasis had significantly greater renal tubular damage and oxidative stress than the healthy controls. Intrarenal mRNA expressions of MCP-1 and IL-6 in stone-adjacent renal tissues were significantly lower than in cancerous renal tissues, but not statistically different from that in non-cancerous renal tissues. In stone-adjacent renal tissues, the mRNA level of MCP-1 was significantly higher than that of IL-6, but their expressions were significantly correlated with each other. Histological examination showed that the number of infiltrated leukocytes corresponded well with the intrarenal mRNA levels of MCP-1 and IL-6. Patients with nephrolithiasis and compromised renal function had significantly higher intrarenal mRNA levels of MCP-1 and IL-6 than those with preserved renal function. Also, the mRNA levels in patients with severe renal tubular damage were significantly greater than in those with less renal tubular damage. There was no association between intrarenal mRNA expression and urinary 8-OHdG. CONCLUSION Nephrolithiasis was associated with low-grade intrarenal inflammation. A greater intrarenal mRNA expression of MCP-1 and IL-6 was associated with enhanced renal impairment. Thus, expression of MCP-1 and IL-6, at least in part, contributed to the progression of nephrolithiasis.

Published
2008

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