ISU for Sustainability

Embracing SDGs towards Quality Education and Academic Experience in the Countryside

Research | SDG 17 – Partnerships for the Goals

Technical Research Category

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Nilo E. Padilla, Joe-Ann Payne, Ralph John Lapastura, Errol John Cadeliña


The study aimed to evaluate farmers' level of adoption and awareness of corn production technology. The result of this study would contribute to the State Universities and Colleges Research Department Institutes’ (SUC-RDI) awareness of the relationship between the farmers' level of awareness and adoption of corn production technologies and as a baseline data to develop and promote strategies in extension services. Microsoft Excel and STATA v.13 were used to analyze the gathered data. The data were classified and analyzed through descriptive statistics. Correlation analysis, Means, frequencies, and percentages were used to facilitate the discussion. The results showed that among socio-demographic characteristics and farming experience of the respondents, household size, cost of farm production, number of training attended, farmland is owned by the farmer, the farmer being a tenant, and attendees of the agricultural training provided by the different agricultural agencies from training are the variables significantly correlated with the level of adoption. Meanwhile, being a college graduate is the lone variable that has a significant correlation on the farmers’ adoption with awareness of the technology being demonstrated by them.

Keywords: Adoption, Awareness, Corn, Production Technology

Social Research Category

Higher Education Research Category

Rosalie C. Leal, Isagani M. Valerozo


A university's reputation grew significantly as a result of its research success. Various factors were used to rank universities around the world, one of which was research. The focus of this study entailed the assessment of the research involvement among faculty in performing educational research. The statistical tools used for the analysis of the study were frequency counts and percentage, Mean and Standard Deviation to determine the level of research involvement of the faculty-respondents as group according to Instructor, Assistant Professor, Associate Professor and Professor. Structural Equation Modeling was used to represent the relationship and interaction between research involvement and academic rank of Isabela State University faculty in the conduct of educational research. It was found out that the level of research involvement is moderate. However, research involvement among professor ranks is high while instructor to assistant professors is just reasonable. There is a significant relationship between age, educational level and research involvement. Although there are challenges in doing research, it is important to highlight that faculty members contribute to or support the university's overall research output.

Keywords: research involvement, problems encountered, structural equation modelling

Helen T. Asio, Ma. Cristina Lalaine M. Nerona


This study titled “A New Benchmarks in Higher Education: Teacher’s Engagement in Online Learning” aims to find out the preparedness of Higher Institution’s teachers and administrations in the conduct of online teaching. This study was conducted at the Isabela State University during the Second Semester S. Y 2020-2021. There were 117 faculty members who served as respondents. Using a self-made questionnaire, the data was gathered along: Respondent’s Profile, Level of Frequency in the Utilization of Online Teaching Platforms, Level of Frequency in the Encountered Problems as to Technology- Related and Teaching –Related, Level of Utilization of Teaching Practices/ Aids and recommendations for Better Delivery of Online Class. Descriptive Research using Quantitative and Qualitative approach was used in this study. To analyze the data, Frequency and Percentage and Pearson Chi square was employed. As to the findings, it was found out that majority of the respondents received training on online teaching “once”. Most of them utilized Messenger and Google Meet as online teaching platforms; the respondents’ profile, Academic Rank” and the level of frequency as to the encountered difficulty in teaching-related activities using online teaching Platforms, iis found to have a significant relationship; along the respondents’ level of frequency on the encountered difficulty in terms of technology/facility related problems, the following are “often” encountered difficult: 1) availability of internet load, 2) availability of sources of information, and 3) availability of conducive venue for online teaching; other problems such as: availability of laptop, availability of android/mobile phone and availability of internet connection are rated “sometimes”; there is no significant relationship between the respondents’ technology/facility related problems and their profile; there is a significant relationship between the respondents’ level of utilization of teaching aids/practices and their profile, particularly the received trainings; there is a significant relationship between the encountered technology related problems and level of difficulty on teaching related activities and electronic platforms; and there is a significant relationship between the respondents’ level of utilization of teaching aids/practices and electronic platforms. Although there is tremendous variety in the educational technologies available to online instructors, the field of distance learning technology is changing quickly, and it is therefore necessary for instructors and administrators to keep a close eye on emerging trends and associated best practices.

Keywords: online platforms, teaching practices/aids, online teaching

Jessica B. Curibang, Rommel Bosito, Valeri Jane D. Fausto


Dropping out is a serious problem because it denies individual students their fundamental human right to education (Cavalida J.,2017). The respondents of this study were the students who dropped out from Isabela State University Jones Campus. The researcher used frequency and percent in the profile of the respondents and weighted mean in the factors affecting the drop-outs. Four (4) point Likert scale was used in this study to avoid neutral option and to get a specific response. Multivariate Analysis of Covariance (MANCOVA) and Univariate Analysis of Variance was used to test the difference between the respondent’s profile and the factors affecting the drop-outs. Based on the findings of the study, according to the profile of the respondents, majority of them were nineteen years of age, male, single, first year students, under Bachelor of Science in Agriculture and in academic year 2018-2019. The results show that peer factor particularly the absenteeism was the main factor that affects the number of drop outs of Isabela State University-Jones Campus. Based on the test of significant difference it found out that female participants had significantly higher agreeableness to peer (M = 2.50, SE = 1.94) and family (M = 2.54, SE = 0.12) as dropout factor compared to male participants (for peer: M = 2.10, SE = 0.08; for family: M = 2.54, SE = 0.12).

Keywords: drop-out, peer factor, absenteeism