Artificial intelligence

Good governance practices of barangays in one LGU in Negros Occidental

admin_irjstem Abstract , , ,

Good governance practices of barangays in one LGU in Negros Occidental
Corresponding email: [email protected]

A B S T R A C T

This study aimed to determine governance practices of selected barangays in Sagay City and test its hypothesis. The study was anchored in the Behavioral Theory of Leadership and Contingency Theory of Leadership. A descriptive-quantitative research design was applied, and a modified research instrument that underwent validation with a 0.79 content validity index and Cronbach alpha of 0.967 was used. Therefore, most participants are residents, followed by appointed personnel and elected officials. The results also showed that there is a high level and significant difference (p < 0.05) in the level of good governance practices in the selected barangays in Sagay City in terms of Transparency, Responsiveness, and accountability when they are grouped according to their category. Thus, the selected barangays in Sagay City perform good governance practices wherein the officials rule their constituents in a good political manner, execute fairness in decision-making for the progression of their people, and observe the current situation in their barangays for them to implement good governance. The researchers recommended that elected officials maintain their good governance practices in terms of transparency, responsiveness, and accountability and future research about good governance practices-related variables.

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Artificial intelligence in Philippine education: A narrative review of applications, perceptions, and challenges

admin_irjstem Abstract , , ,

Artificial intelligence in Philippine education: A narrative review of applications, perceptions, and challenges
Email: [email protected]

A B S T R A C T

This narrative review analyzes the current status of artificial intelligence (AI) implementation in Philippine educational settings through a comprehensive synthesis of scholarly literature from 2018 to 2025. This study aims to identify current AI applications across different educational levels, analyze stakeholder perceptions and readiness, and determine implementation challenges in Philippine educational settings. A systematic literature search was conducted across Google Scholar, EBSCO Host, and ScienceDirect databases using search terms combining “Artificial Intelligence,” “Philippines,” and “Education”. Following the selection criteria, 43 published studies underwent examination through Braun and Clarke’s thematic analytical approach. Results indicate significant implementation disparities, with higher education institutions—particularly private universities in urban centers— demonstrating substantially more advanced AI integration than K-12 schools. Three major themes emerged: (1) current AI applications spanning teaching tools, student support systems, administrative functions, and research tools; (2) mixed stakeholder perceptions with students showing more positive attitudes than faculty; and (3) significant implementation challenges including infrastructure limitations and technical expertise gaps as major barriers. Key challenges include the urban-rural digital divide, insufficient professional development opportunities, ethical concerns around academic integrity, and the absence of comprehensive institutional policies. The study concludes that realizing AI’s potential in Philippine education requires coordinated efforts to enhance technological infrastructure, develop educator capacity, establish appropriate policies, and ensure equitable access. The study recommends developing national AI education policy frameworks, investing in rural digital infrastructure, and implementing systematic professional training initiatives targeting technical skills and educational AI implementation.

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Exploring college students’ awareness and use of AI-enhanced flipped classroom models: Impacts on learning outcomes and skills development

admin_irjstem Abstract , , , ,

Exploring college students’ awareness and use of AI-enhanced flipped classroom models: Impacts on learning outcomes and skills development
Email: [email protected]

A B S T R A C T

This study examines college students’ awareness of and use of artificial intelligence (AI) in flipped classroom activities that involve Mathematics in the Modern World. The flipped classroom promotes self-paced learning and collaboration by having students work on learning materials outside of class and participate in interactive exercises in class. AI tools, increasingly prevalent in education, offer personalized support for college students through tutoring systems, problem-solving platforms, and chatbots, complementing the flipped classroom model. Furthermore, this assesses college students’ awareness of AI regarding the flipped classroom model, emphasizing advantages like participation, engagement, problem-solving skills, study habits, and academic achievement. It also looks into the AI tools that college students use to improve their education. The methodology involves 65 volunteer college students from the University of Makati who participate in a descriptive approach using a Likert scale questionnaire to assess student awareness across multiple aspects. Preliminary results show that college students are highly aware of the flipped classroom model, recognizing its impact on participation, problem-solving, and time management. They also demonstrate a strong awareness of AI’s potential to provide personalized feedback and improve academic performance, although practical usage of AI tools like chatbots and tutoring systems remains moderate. Although students understand the function AI plays in flipped classrooms, more integration and training are required to realize the potential advantages of these tools fully. The study highlights how crucial it is to promote digital literacy and individualized learning through AI-driven educational advancements.

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Artificial intelligence in recruitment: Assessing flipside

admin_irjstem Abstract , ,

Hema Mirji
Bharati Vidyapeeth (Deemed to be University), Pune, India
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A B S T R A C T
Artificial Intelligence is used for various business processes including hiring employees. The purpose of this article is to assess the flip-side of Artificial Intelligence applied in recruitment software. Its insufficiency of delivering the expected results in terms of the right match for the hiring, difficulty in language processing. The paper reviews the literature available to understand the principles of Socio-technical systems design requirements and on Artificial Intelligence’s usage in the recruitment process. The research is qualitative, has followed the phenomenology approach, and uses the interview technique for understanding the opinions of the users. The results reveal that, though AI in recruitment provides ease in searching the candidate’s barriers in language and recognition, low turn-in ratio, incorrect recommendations due to Data inadequacy, skepticism among HR professionals due to lack of human intelligence, need for budgets for acquiring and training are issues. It is proposed to incorporate the guidelines of Socio-Technical System Design and Human-machine teaming for designing the Artificial Intelligence tools. Further studies could be conducted to understand the limitations of the frameworks available for designing such tools.

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