Vol. 1, Issue 4

Abstract

Ang pag-aaral na ito ay may layuning suriin ang kahandaan ng mga SHS-ICT student graduate ng Arellano University sa mundo ng pagtatrabaho. Gawing basehan ito sa pagbuo ng career guidance intevention program. Sa pagsasakatuparan nito, nagsagawa ang mananaliksik ng isang kwalitatibong pag-aaral na may disenyong penomenolohikal. Isinagawa ito sa pamamagitan ng pagsasagawa ng isang focus group discussion na kung saan kinakasangkutan ito ng anim (6) na kalahok na nagtapos ng ICTS strand mula taong panuruang 2019 hanggang 2022. Batay sa naging resulta ng diskusyon, lumalabas na ang mga mag-aaral ay nagpakita ng kahandaan sa pagtatrabaho. Natuklasang malaking tulong ang mga kasanayan kanilang natutunan mula sa kumpanyang kanilang pinapasukan upang magtagal sila sa kanilang trabaho. Halimbawa nito ay ang kakayahan sa kahusayan sa pamumuno at pakikipag- ugnayan; at pagiging propesyunal kumilos at mag-isip. Ang pagiging responsable at komited sa trabaho; at kumpetitiv at nagagawang ilapat ang mga natutunan naman ay ang mga kasanayang natamo ng mga mag-aaral sa paaralang kanilang pinagtapusan. Ang mga nasabing tema na lumutang sa naganap na FGD ay siyang naging basehan sa pagbuo ng interbasyon. Ang mga gawaing nakapaloob ay ayon na rin mula sa mungkahi ng mga eksperto. Sa kabuoan, iminumungkahi ng mananaliksik na maaring gawing batayan ng bawat paaralang nagkakaloob ng ICT strand ang kanyang pag-aaral sa pagbuo ng sarili nilang career guidance intervention program.

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The study aims to establish a progressive, resilient, & empower the community through Science, Technology & Innovation, particularly to determine the respondents’ history, demographic, and economic profile and determine appropriate DOST technologies needed by CEST Community. The study used a mixed- method approach, qualitative and quantitative for the data collected through key informant interviews and Focus Group Discussions (FGD). It shows that all of the respondents belong to Kalipi Association who directly benefited from the DOST-CEST program. The majority of respondents were in the 26 to 33 year age group, housewives and housekeepers, Ilonggo, and chose the five components of the CEST as the needed interventions in the community. Generally, all of the respondents were answered “very effective” on aspects of Economic Development measured. These are Technology Trainings Aspects, Consultancy Aspects, Testing, and Calibration Aspects, Packaging, and Labelling Design, Innovation System Support Fund. Based on a two- way Analysis of Variance, the results show a significant difference among age groups with a p-value of 0.00000005887, less than 0.05 level of significance. Based on thematic analysis, Key Informant Interview, there were six (6) unified themes extracted. These are Impact of DOST-CEST XII Program; Assistance Needed; Accountability and Sustainability; Impact to individual, family, and community; Status of employment, and Values learned. The formulated KPI shows that intervention, progress indicator, and success indicator of the current KPI established by DOST-CEST coupled with alignment on the Philippine/Regional Development Plan, EO70, and SDG as the focus group discussion results.

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Deep Learning has been applied to train the convolutional neural networks (CNNs) for accurate frame prediction. Using CNNs, a MATLAB-Based approach is used to investigate dataset testing and training techniques for obtaining enhanced human-like frame prediction using CNNs in diverse scenes. Furthermore, studies were explored in Deep Learning, which is a kind of Machine Learning that can be trained, supervised, semi-supervised and unsupervised. Specifically, the proposed study applies deep learning methods, including Convolutional Neural Networks (CNNs), for next-frame prediction. The Catz Dataset is utilized as the training data for this investigation. The experimental results reveal that CNNs can indeed be used to achieve human-like frame prediction in diverse scenes. The best performing model, a hybrid CNN and LSTM network, exhibits a significantly improved perceptual distance rating of 26.7127, outperforming the initial CNN model. These findings demonstrate the potential of CNNs trained using deep learning techniques for accurate frame prediction tasks. The study has also shown that impact of the training and testing ratios on the performance of an enhanced human-like frame prediction using CNNs and MATLAB. The experiments through MATLAB have shown that higher training percentage means that a larger portion of dataset for training the model have been used while a lower training percentage shows that a large portion of the dataset reserved for testing the model’s performance.

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The study aimed to analyze the employed persuasive strategies of the participants based on Aristotle’s modes of persuasion in their persuasive speeches. A descriptive qualitative design was employed, and video recording served as the research instrument of the study. The fifteen (15) participants were chosen at random using the fishbowl method. The researcher transcribed the speech verbatim and used content analysis to assign codes to each line of speech. The students used different strategies to convince the audience of their logical reasoning, credibility, and emotional appeal. Among the three Aristotelian modes of persuasion, Logos was the most commonly used, followed by Ethos and Pathos was the least used. The most prevalent strategy employed by the participants in Logos was to give factual objective information, followed by using credible supporting materials and providing examples to support the proposition. Under Ethos, sharing credentials or relevant personal experiences, followed by citing credible sources to appear competent, was found to be the most frequently employed strategy by participants. With regard to Pathos, providing lay testimony like sharing personal stories was revealed to be the most utilized persuasive strategy by the participants to build personal connections. The study suggested that English teachers make classroom activities that will lead students to use different ways of persuasion in their speeches. In addition, school administrators could also promote speech activities like speech competitions encouraging students to employ Aristotle’s persuasive strategies.

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This study aims to determine the school management strategies employed by AR schools during the pandemic and develop a School Strategic Improvement Plan (SSIP) based on the findings of a TOWS analysis. The study utilized an explanatory mixed-methods design that involved two phases. In Phase 1, a self-constructed questionnaire was administered to 71 purposively sampled respondents to assess the five facets of school management. Phase 2 employed semi-structured interviews to further support or refute the collected data in Phase 1. The findings revealed that AR schools effectively navigated the challenges of the pandemic by implementing various strategies. Collaborative meetings were established at the onset of the pandemic. Furthermore, the schools prioritized the development of leadership skills, knowledge, and abilities through training and professional development opportunities. The schools also modified their calendars, plans, and programs to suit the evolving needs of the students. Thus, 21st-century skills and competencies were integrated into the curriculum. To ensure effective monitoring, the schools invested in new/additional Learning Management Systems. To strengthen the school-parent relationship, the schools developed group chats and other communication channels to disseminate important announcements and information. Additionally, orientations, meetings, and seminars were conducted to educate parents. To engage with the community, AR schools intensified their presence through social media campaigns and promotions. Moreover, they actively organized and participated in outreach programs, fostering meaningful connections with the community. Based on these findings, the study proposes a comprehensive School Strategic Improvement Plan (SSIP) to enhance school management strategies further. This plan aims to sustain the positive outcomes achieved during the pandemic and position AR schools for continued success in the future.

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The study examined and analyzed the coexistence of service automation and human labor around Metro Manila, especially in the fast-food chain of the tourism industry. Despite the tremendous advancements in service automation, research on service automation is still limited as of today, but that doesn’t stop researcher from pursuing this study. This paper explains the potential and existing situation of the tourism and hospitality industries, particularly guests and employees, adopting service automation. Determined the antecedents: demographic profile, effects of service automation, and perceptions of consumers, industry, and government-related to the tourism industry. The implications and impact will broaden the knowledge of higher institutions, education, and the government in developing intensive training, support, and new policies that will sustain the transitions in service automation intervention. The study used a descriptive research design in which it described the phenomena that happened in the study. The method makes use of both qualitative and quantitative methods. Employees and guests were chosen at random and taken to the Top 10 food establishments in Metro Manila. The respondents provide their perceptions regarding the importance and their level of acceptance of both service automation and human labor. This study is regarded as the first step in continuing development in terms of services provided by the food and beverage industry. The study focused on the Top 10 food and beverage establishments of the tourism industry around Metro Manila. A total of 400 respondents participated in the study. Findings reveal that service automation and human labor have significant differences that may benefit and have a huge impact on the tourism industry and expound the knowledge of the importance of this matter. By fully adopting automation, it may help the economy, industry, and community grow and will deliver great experiences as well as convenience to the guests/guests. The study also explains what service automation all is about, with the coexistence of human labor in food and beverage establishments. From its meaning to the level of acceptance of the respondents, it only shows that people are slowly adopting service automation at almost the same rate as human labor, which is given by data in this study. The majority of the articles in this study focus on service automation and its impact on the industry and people. How does service automation change the whole idea of service? It also provides insights into what the scenario will be in the coming years when service automation is fully adopted by the aforementioned industry. These article studies assist the researcher in ensuring that the study is valid, as well as the data gathered. Everyone is still unsure about what the future holds when it comes to service automation, but one thing is for sure. Change is inevitable. Also, based on the articles and data gathered, we can slowly adapt service automation. In exchange, fast food restaurants should provide new training for their employees to improve their ability and capacity as employees, in collaboration with the government. The government can also create more opportunities and jobs for those who will be impacted by service automation. Institutions like states or universities should have a new curriculum in order to catch up with the advancements of this era. Furthermore, with the guidance and new policies provided by the government and private sectors in the future, humans will experience job transitions or shifts, as well as other new opportunities that can help them sustain their lifestyles. The researcher expounds on how people accept the undeniable changes occurring in the said industry.

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