Digital portfolios have become an essential assessment tool in project-based and student-centered learning environments. Unfortunately, students exert minimal effort in creating digital portfolios because they find the writing component unchallenging. This issue is concerning since existing research predominantly focuses on the use of pre-existing platforms for building digital portfolios. With this concern, there is an opportunity to explore more challenging approaches to digital portfolio creation. Consequently, this study employs a project-based learning (PBL) approach within a website design and development course, where 176 undergraduate students completed weekly coding tasks culminating in a self-coded digital portfolio. Using a one-group posttest-only research design, data were collected through a structured questionnaire that included demographic items and validated scales measuring learning effectiveness and ownership of learning. The survey was administered electronically after students submitted their digital portfolio projects. The results reveal that device ownership shows only weak associations with students’ perceptions, while internet connectivity and self-reported academic performance demonstrate stronger relationships with engagement and ownership of learning. Additionally, prior experience with digital portfolios positively influences students’ engagement, motivation, and ownership of learning. Implications of these findings are discussed for supporting the integration of digital portfolios into technical disciplines. Overall, this study contributes to the literature on PBL methodology, expands our understanding of digital portfolio integration, and underscores the significance of student-centered pedagogies.

The transition from a centralized to a decentralized energy network has grown significantly. As a result, bidirectional energy platforms for consumers and producers have been established. In support, technological advancement in distribution networks is carried out, encouraging local consumers to participate in energy production, leading to the emergence of LECs, empowering them to captivate, generate and share renewable energy. A comprehensive review of LECs is presented in this paper, addressing their operational characteristics, control strategies, market interactions, regulatory frameworks, and real-world implementation challenges. Moreover, the paper provides the technical challenges related to grid integration, economic, and regulatory policies associated with peer-to-peer interaction are some of the hindrances in deploying a successful LEC strategy. The paper identifies a critical gap between the academic and real-world environment that can be bridged through realistic assumptions, adaptive control strategies, and measurements of cyber threats. Additionally, pilot projects are assessed to understand the feasibility and impact of LECs in real-world environments. This study proposes the requirements for establishing advanced network and monitoring technology, dynamic pricing strategy, and revised regulatory policies for the successful implementation of the LEC strategy.

The rise of digital platforms has led to a massive influx of textual data. While traditional textual analysis techniques have been effective, analyzing large datasets is becoming impractical due to the required time and resources. To demonstrate the usefulness of text mining as an alternative, this study analyzed data extracted from an emergency remote learning (ERL) environment. Free-form responses from a series of cross-sectional surveys (2020–2022) were analyzed using word frequency, collocation, concordance, topic modeling, and sentiment analyses. According to the findings, the most commonly occurring unigram and bigram in the text corpus were “hard” and “mental health,” respectively. Three primary themes based on lived experiences were identified, namely individual, academic, and technological challenges, and another three themes emerged from coping strategies, including entertainment, relationship, and health-related mechanisms. Negative sentiment toward the ERL setup was also evident in the text corpus. Overall, the combination of text mining techniques allowed for a comprehensive exploration of the linguistic features of the corpus and provided a multifaceted understanding of the selected phenomenon. Consequently, this study endorses text mining as a methodology for analyzing large volumes of textual data.

The integration of digital technologies in education has profoundly transformed teacher education, necessitating a focus on creativity, problem-solving, and inquiry-based learning. Despite the expanding literature on technological self-efficacy, creativity, and curiosity in education, significant gaps persist in understanding their relationships, especially in teacher education. Utilizing a cross-sectional design, the study applies PLS-SEM to investigate the relationships among technological attitudes, technological self-efficacy, technological problem-solving engagement, intrinsic motivation, learning engagement, pedagogical knowledge, content knowledge, creative reasoning, and curiosity among 875 respondents from a state university in Cebu City, Philippines. The findings reveal that positive technological attitudes significantly enhance technological self-efficacy, which, while influencing technological problem-solving engagement, does not directly impact creative reasoning or curiosity. Additionally, both technological problem-solving engagement and intrinsic motivational factors substantially contribute to fostering creativity and curiosity. The strong roles of pedagogical knowledge and content knowledge further emphasize the need for teacher education programs to incorporate holistic strategies that combine technological engagement with pedagogical frameworks. These insights underscore the importance of equipping pre-service teachers with the skills and knowledge necessary to cultivate creativity and curiosity in their future classrooms, thereby enhancing overall educational effectiveness.

Purpose: This study aimed to examine how physical education (PE) students engage with fitness content on TikTok. Methods: The evaluation involved 597 students enrolled in a PE 1 course across three campuses of a prominent university. Results: Findings show that students primarily watch TikTok videos for entertainment, with male students also seeking motivation and social interaction, while female students look for escape, advice, and guidance. Engagement is highest for videos featuring body transformations, fitness tips, and motivational content, with a tendency to apply learned exercises, tips, and nutrition education. Body transformations and motivational videos effectively arouse emotions and elicit affective responses. Conclusion: This research highlights diverse motivations and impacts of fitness content on TikTok among PE students, contributing to the literature on social media usage and offering insights for enhancing instructional practices in PE and understanding digital media interaction.

Philippine is one of the countries near in the Pacific Ring of Fire. In recent years, several moderate to high seismic activities happened that leads to casualties, deaths and damages in different structures. Manila is the capital of the Philippines with a population of almost 1.8 million. Many structures have been considered as old and unsafe and with an impending earthquake, it is essential to rehabilitate these structures. The imminent danger of the West Valley Fault when it moves is known throughout the metro manila and other neighbouring regions. The damage and casualties that will sustain from the possible 7.2 magnitude earthquake is fatal. Conducting mitigation programs is critical for it will greatly benefit the government and the people. Rapid Visual Screening (RVS) is an effective and efficient way of assessing the building’s structural integrity. This methodology is used to assess the structure’s seismic risk by visual observation of the exterior and interior of the buildings and a data collection form. RVS was applied in 26 hospital building’s located in Manila and the outcome of the assessment has shown that only 6 hospital buildings proved to be seismically adequate when using the level 1 data collection form. RVS is an effective tool in providing initial insight in the building’s vulnerability to seismic event.

Hydrogen production via water electrolysis faces significant commercialization challenges due to the high cost and scarcity of iridium (Ir). Reducing Ir loading while maintaining high catalytic performance is critical for advancing proton exchange membrane (PEM) water electrolyzers. To address these challenges, this study introduces Ni@Ir core-shell nanowires (CSNW) as a cost-effective catalyst for enhancing Ir utilization in oxygen evolution reaction (OER). Ni@Ir-CSNW features an amorphous Ir shell coating crystalline Ni nanowires, achieving a high BET surface area of 417 m2 g−1 and an electrochemical surface area (ECSA) of 324 m2 g−1. With a reduced Ir loading of 22 wt.%, Ni@Ir-CSNW delivers remarkable performance, including a mass activity of 9.4 A mg−1 which is a 35-fold increase compared to conventional Ir nanoparticle (Ir-NP) catalysts. Ni@Ir-CSNW achieves an overpotential of 260 mV at 10 mA cm−2 and a favorable Tafel slope of 54 mV dec−1. Stability tests further demonstrate 68% retention of mass activity after 100 cycles. This work presents an effective strategy to enhance catalyst performance while reducing Ir usage, contributing to more sustainable and economically viable PEM water electrolysis systems.

Advocates of AI in Education (AIEd) assert that the current generation of technologies, collectively dubbed artificial intelligence, including generative artificial intelligence (GenAI), promise results that can transform our conceptions of what education looks like. Therefore, it is imperative to investigate how educators perceive GenAI and its potential use and future impact on education. Adopting the methodology of collective writing as an inquiry, this study reports on the participating educators’ perceived grey areas (i.e. issues that are unclear and/or controversial) and recommendations on future research. The grey areas reported cover decision-making on the use of GenAI, AI ethics, appropriate levels of use of GenAI in education, impact on learning and teaching, policy, data, GenAI outputs, humans in the loop and public–private partnerships. Recommended directions for future research include learning and teaching, ethical and legal implications, ownership/authorship, funding, technology, research support, AI metaphor and types of research. Each theme or subtheme is presented in the form of a statement, followed by a justification. These findings serve as a call to action to encourage a continuing debate around GenAI and to engage more educators in research. The paper concludes that unless we can ask the right questions now, we may find that, in the pursuit of greater efficiency, we have lost the very essence of what it means to educate and learn.

The quick-service restaurant (QSR) industry has grown significantly over the last 10 years, accounting for nearly one-third of all restaurant revenues, making it a fiercely competitive sector. In order to remain competitive in the marketplace and subsequently expand, businesses need to recognize the importance of service quality and customer satisfaction. Using the SERVQUAL model as the base framework, this research aims to determine the factors that influence customer satisfaction. Using the quantitative descriptive correlational method, the study examined the data from 300 Millennial customers of QSR. A mediation analysis was conducted using Partial Least Square – Structural Equation Modelling (PLS-SEM) to test the mediating effect of corporate image and customer trust. The results found that service quality, customer trust, and corporate image influence customer satisfaction. Moreover, corporate image and customer trust mediate the relationship between service quality and customer satisfaction. Furthermore, customer trust is a mediator between corporate image and customer satisfaction. The findings suggest that Millennial customers are no longer dependent on service quality but are also putting a premium on corporate image and trust. With these findings, QSR owners, business strategists, marketing practitioners, and store personnel must offer the highest level of quality service, must ensure that the image as seen by customers is not tarnished, and must exhibit authenticity, honesty, and transparency.

The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the overall academic performance evaluation. To address this gap, this study employed cognitive diagnostic modeling (CDM) to profile the skill mastery of programming students. An empirical analysis was conducted to select the most appropriate model for the data, and the linear logistic model (LLM) was determined to be the best fit. Final examination results from 308 information technology (IT) and 279 computer science (CS) students were analyzed using the LLM. Unfortunately, findings revealed that programming students exhibited proficiency primarily in code tracing and language proficiency but displayed deficits in theoretical understanding, logical reasoning, and algorithmic thinking. From a practical standpoint, this deficiency in fundamental skills sheds light on the factors contributing to academic failures and potentially eventual dropout in programming education. When comparing the student population by academic program, CS students demonstrated superior mastery compared to their IT counterparts, although both groups exhibited a lack of mastery in code tracing. These deviations underscore the pressing need for tailored educational strategies that address the unique strengths and weaknesses of each student group. Overall, this study offers valuable insights into programming education literature and contributes to the expanding application of CDM in educational research.