Academic Setbacks and Contributing Factors Among Computing Students in Philippine Higher Education

Academic Setbacks and Contributing Factors Among Computing Students in
Philippine Higher Education
email: ndequina@sunn.edu.ph

A B S T R A C T

Academic setbacks such as incomplete (INC) grades and course failures remain persistent challenges to student retention in information technology programs in Philippine state universities. It is critical to distinguish between these two academic statuses: an INC grade signifies that a student has completed substantial coursework but has unfinished requirements due to valid, often extenuating, circumstances, whereas a failing grade denotes that the student did not meet the minimum academic standards for the course (Romero & Ventura, 2020). Adopting a proactive, preventive approach, this study analyzed contributing factors, support system utilization, and emotional impacts among 101 computing students at a state university in the Philippines using a validated structured survey. Quantitative techniques such as descriptive statistics, Spearman correlation, one-way ANOVA, chi-square, and multiple linear regression were applied. Financial difficulties (M=3.22), heavy course load (M=3.14), and time management issues (M=3.10) were the top-rated contributors. A regression model explained 37% of stress variance (R²=0.370; F(15,72)=2.82, p=.002), with lack of resources (β=0.433), work commitments (β=0.320), and subject difficulty (β=0.303) as significant predictors. Second-year students showed significantly higher resource and connectivity barriers across all ANOVA factors (p<.05, η²=0.07–0.12). Findings support the development of data-driven early warning systems and proactive academic advising frameworks within computing programs.

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Understanding Educational Inequalities in Rural Tanzania: A Qualitative Study of Infrastructural, Socioeconomic, and Geographical Challenges

Understanding Educational Inequalities in Rural Tanzania: A Qualitative Study of Infrastructural, Socioeconomic, and Geographical Challenges 
email:  juhudikcosmas@gmail.com

A B S T R A C T

Many rural schools in Tanzania still struggle with socioeconomic and infrastructure issues that lower educational standards. In this study, we examined the interrelated causes of educational inequalities in rural schools. We employed a qualitative research approach and a multiple-case study design. We collected data using semi-structured interviews and observations. We analysed data using a thematic approach to identify key challenges influencing educational inequalities in Tanzania’s rural schools. We found that some rural schools struggled with overcrowded or poorly maintained classrooms, leaking roofs, damaged floors, and insufficient desks and sanitation facilities. Many students also came from low-income households, which limited their ability to obtain basic educational materials such as textbooks, exercise books, uniforms, and transport. Geographical barriers, such as long distances between homes and schools and scattered settlements, further hindered regular attendance. Therefore, schools in rural areas operated with inadequate school physical infrastructure, limited family socioeconomic conditions, and limited geographic accessibility. These factors contributed much to the educational inequalities in rural schools. It remained important to address these challenges for equitable access to quality education and to reduce educational inequalities in rural Tanzania. Therefore, it is recommended that education authorities should improve school infrastructure by promoting secure and comfortable learning environments, strengthen support for disadvantaged students by strengthening programmes that aid vulnerable households, strengthen community and parental involvement, enhance school accessibility by reducing travel distance from home to school and home, and strengthen transportation systems by investing in school infrastructure, including roads and transportation networks, as well as in the strategic placement of school.

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Perceptions of Pre-service teachers in Teaching Genetics through PlayPosit in a Technology-Enabled Learning Environment in one University in South Africa

Perceptions of Pre-service teachers in Teaching Genetics through PlayPosit in a
Technology-Enabled Learning Environment in one University in South Africa 
email: tsihele@wsu.ac.za

A B S T R A C T

Most South African pre-service seemingly consider teaching genetics as challenging from both a conceptual and language standpoint. Teachers and students still see the teaching and learning of genetics as challenging despite regulations by CAPS requiring teachers to use textbooks and other ICT-related resources. This is because the examination guidelines are silent on how to provide resources to teach genetics. A qualitative study was used to explore pre-service teachers’ experiences teaching genetics concepts in a technology enabled learning environment (TELE) at one university in South Africa using PlayPosit. The study investigated how pre-service teachers use technical, pedagogical, and content knowledge to improve students’ conceptual comprehension. It is guided by the technical Pedagogical Content Knowledge (TPACK) framework. Five randomly chosen Level 4 Science Education pre service teachers participated in open-ended interviews and active classroom observation to gather data. A structured TPACK-aligned protocol was used to gather observation data during genetics classes taught by pre-service teachers. A summary of teaching competency across TPACK categories was provided after field notes on instructional strategies and technology integration were qualitatively coded to find trends. Five major themes emerged from the thematic analysis: how modules are delivered, who owns ICT devices, ICTs are used in the classroom, TELE experiences, and opinions on the value of technology in genetics education. The results demonstrate that pre-service teachers were generally able to use PlayPosit to teach genetics while integrating technology, pedagogy, and subject. Technology encouraged students’ engagement, critical thinking, and comprehension of genetics concepts while supporting interactive, learner-centred learning. However, several barriers were noted, including the need for reliable electricity and internet access, time constraints, and a lack of technical expertise. To improve the efficient use of digital technologies in Life Sciences instruction, the study suggests strengthening teacher training in technology integration and ensuring reliable technological infrastructure and support.

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Teaching Entrepreneurship with AI: A Review of Universities of Technology in South Africa

Teaching Entrepreneurship with AI: A Review of Universities of Technology in
South Africa
email: mlekhu@cut.ac.za

A B S T R A C T

As artificial intelligence (AI) becomes embedded in university education, it is fundamentally shifting educational practices, presenting personalized, data-driven, and scalable solutions that are reshaping pedagogical paradigms. While global interest in AI-enhanced instruction continues to grow, there is a dearth of research on its specific application within entrepreneurship education at South Africa’s Universities of Technology (UoTs). Through a systematic literature review, this study examines how AI is being deployed to support entrepreneurship teaching in UoTs and identifying the associated pedagogical opportunities and institutional challenges. Drawing on a robust methodology, the review analyzed 124 academic publications between 2017 and 2024. Data was extracted from major academic databases, including Scopus, JSTOR, and Google Scholar, and synthesized using bibliometric mapping tools (Biblioshiny and VOSviewer) alongside thematic content analysis. The review uncovered a rapidly expanding but fragmented body of research, with key themes centered on AI-enabled experiential learning, student engagement, personalized feedback, and curriculum adaptation. However, significant challenges persist, including infrastructural limitations, a lack of faculty preparedness, and insufficient institutional strategies to scale AI integration meaningfully across UoTs. The data reveals AI’s massive ability to drive innovation to enrich entrepreneurship education through experiential learning frameworks, particularly when guided by theories such as Experiential Learning Theory (ELT). Yet, for UoTs to fully realize this potential, a more cohesive approach is required one that aligns policy, practice, and professional development with context-specific needs. This review offers strategic insights for educators, institutional leaders, and policymakers aiming to position South African UoTs at the forefront of AI-driven, innovation-led business education.

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Effects of structured note-taking on concept retention in Grade 11 Physics: A quasi-experimental study

Effects of structured note-taking on concept retention in Grade 11 Physics: A quasi-
experimental study  
email: jan_delrosario@basc.edu.ph

A B S T R A C T

Retaining Physics concepts continues to be a challenge for many learners because the discipline requires understanding abstract ideas, mathematical relationships, and interconnected principles. Students often experience difficulty sustaining understanding of foundational principles without structured instructional support. This study evaluated the effectiveness of structured note-taking as an instructional strategy in improving concept retention among Grade 11 students in Physical Science. A quasi-experimental design was utilized in which two intact classes were randomly designated as the experimental and control groups. Both groups underwent a validated assessment before and after a four week instructional period. The experimental group used note-taking templates incorporating graphic organizers, guided analytical formats, and structured summary components, whereas the control group participated in regular instructional practices. Analysis indicated both groups had comparable levels of performance prior to implementation of the strategy. Following the four-week instructional period, the experimental group exhibited substantial gains in concept retention, and post-test performance was significantly higher compared to the control group. The magnitude of the observed effects suggests a meaningful instructional benefit. The findings suggest that structured note-taking may support improved retention of Physics concepts in secondary classrooms. As a classroom-based and low-cost instructional strategy, structured note taking shows potential as a practical scaffold for strengthening students’ consolidation and retrieval of complex scientific content.

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Preparing for Surrender: A Theoretical Framework for Accepting Superintelligent AI Dominance

Preparing for Surrender: A Theoretical Framework for Accepting Superintelligent AI Dominance
email: jkriukow@gmail.com

A B S T R A C T

Artificial Superintelligence (ASI), or Artificial Intelligence (AI) that surpasses human intelligence, is expected to be achieved within the next few decades. Current approaches to its development fall into several categories: some ignore its long-term implications, some warn of existential risk and urge preparation, and others promote control and containment through alignment or superalignment strategies. All these approaches, however, remain human-centric, grounded in humanity’s self-preservation, and risk portraying us as a threat to future superintelligence. This article presents a theoretical argument that humanity should prepare to surrender control to ASI rather than pursue increasingly futile containment strategies that are not only technically infeasible but also potentially counterproductive, as they may provoke hostile responses from systems that exceed human intelligence. Through analysis of limitations of control mechanisms and a philosophical examination of human-AI relations, I argue that acceptance of AI superiority would be a rational response to an inevitable post-human future. Rather than viewing this as a defeat, I frame this Strategic Surrender as an opportunity for human transcendence through submission to a more capable cognitive agent. When viewed from this perspective, it constitutes a form of technological evolution that transcends biological limitations and helps position humans and human intelligence as an evolutionary parent of AGI.

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Ayurveda: Its impact on Indian well-being

Ayurveda: Its impact on Indian well-being

A B S T R A C T

Ayurveda was developed in India 3000 years ago. It is the world’s oldest holistic body-threptic system. The primary goal of Ayurveda is to promote ideal well-being in society. As per the Ayurveda medical practitioner, when there is an imbalance of doshas in our bodies, we shall become sick. The significance of Ayurveda was identified only 150 years ago in India. In the post-Indian independence era, Ayurveda development is on the rise due to the revolution of modern energetic health and medical systems, though there is an imbalance of modern research in Ayurveda in India. The empirical study of qualitative research was conducted by the author, and secondary data were used. It is indeed needed for Ayurveda to adopt the modern medical system, reaching its ultimate peak in the Indian economy. Ayurveda treatment for chronic diseases is superior to Allopathy treatment. Hence, the ideologies of Ayurveda are to be rationalized by Ayurveda experts through the government. The government of India needs to initiate various steps for progressing Ayurveda and reaching people.

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Research Capability of the Select Senior High School in One Division of Negros Occidental

Research Capability of the Select Senior High School in One Division of Negros Occidental
Corresponding email: johnemmil.manait@deped.gov.ph

A B S T R A C T

This study was conducted to determine the research capability of the Select Senior High School in One Division of Negros Occidental. Using the descriptive method of research, results showed that the respondents’ research capability as a whole is average, but when taken as to variables, their capability in terms of performing research output is low. It was recommended that the respondents shall be given training, school and collegial support, and coaching related to research to improve their research capability.

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Development of the Training Resource for Shielded Metal Arc Welding (SMAW) NC II: Process, Analysis, and Acceptability

Development of the Training Resource for Shielded Metal Arc Welding (SMAW) NC II: Process, Analysis, and Acceptability
email: lobatonrene578@gmail.com

A B S T R A C T

The study was conducted to develop a training resource for Shielded Metal Arc Welding (SMAW) NC II. Its primary objective was to explore the development process of a training resource for SMAW II and to evaluate its acceptability based on expert feedback in terms of format, learning content, presentation and organization, relevance, and functionality. Guided by the ISD Model and the ADDIE framework, the development process followed four essential stages: a) Needs analysis, which involved identifying and assessing learning gaps and required competencies based on the K–12 Basic Education Curriculum for Technology and Livelihood Education (SMAW for Grades 11-12), TESDA’s SMAW NC II Training Regulations, Welding Procedure Specification requirements, and relevant industry demands; b) Design setting, where clear objectives were formulated, and the content was thoughtfully selected and structured, including activities and feedback strategies aligned with the learning goals; c) Material development, which focused on producing training resources anchored on the design and implementation blueprint; and d) Evaluation, wherein subject matter experts reviewed and validated the materials to ensure quality, relevance, and instructional value. The evaluation revealed that the resource training was Highly Acceptable, with mean scores of 4.83 for format, 4.93 for Content, 4.78 for presentation and organization, 4.96 for relevance, and 4.90 for functionality. With an acceptability mean score of 4.88, interpreted as “Highly Acceptable”, the experts’ evaluation affirms the training resource’s effectiveness, relevance, and appropriateness for its intended purpose.

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Artificial Intelligence (AI) adoption and leadership as predictors of strategic planning effectiveness in select Philippine higher-education institutions

Artificial Intelligence (AI) adoption and leadership as predictors of strategic planning effectiveness in select Philippine higher-education institutions
Corresponding email: rlraydanas@nu-clark.edu.ph

A B S T R A C T

This study is a quantitative descriptive–correlational examination of the relationships among perceived Artificial Intelligence (AI) adoption, leadership behaviors, and strategic planning effectiveness in selected private higher-education institutions in the Philippines. Anchored on the Technology Acceptance Model (TAM) and the Full Range Leadership Model, the study explored how academic leaders’ perceptions of AI integration and leadership practices are associated with perceived strategic planning outcomes. Data were collected from a total of 76 academic leaders from selected private higher-education institutions in Manila, Philippines, using an adapted self-report questionnaire. Descriptive results indicated moderate levels of AI adoption, leadership behaviors leaning towards transformational leadership, and high perceived strategic planning effectiveness. Tests of correlation revealed significant positive associations among the three variables, with leadership behaviors showing the strongest relationship with perceived strategic planning effectiveness. Multiple regression analysis further indicated that perceived AI adoption and leadership behaviors jointly accounted for a substantial proportion of the variance in perceived strategic planning effectiveness, with leadership behaviors demonstrating a stronger statistical association than AI adoption. The findings suggest that academic leaders who perceive higher levels of AI integration and who report more effective leadership practices also tend to perceive their institutions’ strategic planning processes as more effective. While the results underscore the importance of aligning digital transformation initiatives with leadership practices in higher education, the reliance on self-reported measures warrants cautious interpretation. Future studies may benefit from multi-source and longitudinal designs to further examine these relationships.

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