| 1 | Author(s):
Hsien-Chuan Fan. Page No : 1-23 |
A Study on the Results of Pre-Service Teachers’ Group Performances Using History of Science as Learning Material
Abstract
In natural science education, the traditional teaching method often involves imparting a
large amount of relevant teaching materials first, followed by descriptive narration to cramming.
While this may seem effective, yet from an educational perspective, it is more reasonable to first
spark students’ interest before teaching. Therefore, this study attempted to allow students to read
by themselves first and then perform in groups to observe their thoughts and attitudes towards
science. Using the textbook “Introduction to Natural Sciences” edited by Lou Zhaowen et al., six
Chinese and foreign history of science articles from chapter 10, “Extra-curricular reading
materials,” were assigned for students to read independently and then perform in groups. This
study involved 95 students from two classes of the Preschool Education Department to explore
the learning outcomes. The results found that students conscientiously and autonomously
consulted relevant materials, arranged the plots well, provided profound interpretations of
scientific figures, and enjoyed this group activity, considering it fostered teamwork and mutual
appreciation and evaluation. Overall, their understanding of the Nature of Science also improved,
although further explanation is needed for comprehending the related scientific knowledge.
| 2 | Author(s):
Yu-Feng Huang, Tiffany Chang. Page No : 25-46 |
Integration of Grey Theory and EEG Technology for Personalized Attention Cultivation in Primary Education
Abstract
The paper introduces an innovative model for cultivating personalized attention in educational settings
through the integration of advanced technologies and Grey Theory principles. Our 12-week randomized
controlled trial with 200 primary school students employed BeneGear (BGA) integrated chips for EEG data
analysis, establishing a four-level attention grading standard. Results demonstrated significant
improvements in experimental group attention levels (r=0.72, p<0.001), with students progressing from
Novice to Beginner level showing an average increase of 5.6 points in math scores. The integration of Grey
Theory enhanced predictive capabilities, enabling more accurate forecasting of attention trends and
personalized interventions. This framework offers valuable insights for creating sustainable, personalized
learning experiences in educational settings.
| 3 | Author(s):
Tong-Jung Fan, Tzu-Ching Weng. Page No : 47-84 |
The Role of Electric Vehicles in The Net Zero Goal: A Comparative Analysis of The Carbon Footprint with Gasoline Vehicles
Abstract
Decarbonizing transportation is critical for net-zero emissions, with electric vehicles as a
key alternative to gasoline vehicles. This study employs life cycle assessment per ISO
14040:2006 to compare their carbon footprints in Taiwan, where electricity is fossil-fuel-reliant
(0.502 kg CO2
e
/kWh). Using a dynamic life cycle assessment with three grid evolution scenarios
(business-as-usual, government target, accelerated transition), results show EVs reduce lifecycle
emissions by 30-40% compared to gasoline vehicles. The manufacturing “carbon debt” is offset
within 2-3 years, with sustained benefits thereafter. Sensitivity analysis highlights electricity
carbon intensity, vehicle mileage, and battery capacity as key drivers of electric vehicle emission
reductions. Grid decarbonization amplifies these benefits. lectric vehicles are essential for
transportation decarbonization, with policy recommendations including incentives for
high-mileage users, integrated electric vehicle-grid planning, battery recycling systems, and
supply chain decarbonization. Through targeted policies and technological advancements, lectric
vehicles will significantly contribute to Taiwan’s net-zero emissions transition.
| 4 | Author(s):
Kun-Li Wen, Meng-Tyng Hsieh, Quang-Trieu Nguyen. Page No : 85-104 |
Combine Interpretive Structure Modelling with GM(0,N) in the Weighting Analysis of Influence Factor of Betel Nut Taste
Abstract
The habit of chewing betel nut is very popular among Taiwanese people. It is estimated that
there are about three million people who eat betel nut in Taiwan, two million people working in
betel nut-related jobs, and about five million people working in betel nut industries and betel nut
businesses, is a very important role in Taiwan’ economy. However, past research has been found
all focused on the fields of chemical analysis, pathological analysis, image processing,
mathematical analysis and management analysis. It may be impossible to accurately quantify the
taste of consumers, and no research has been found in this area. Therefore, the paper uses the
interpretive structure modeling and GM(0,N) method to analyze the five major factors affecting
the taste: sweetness, aroma, astringency, bitterness and spiciness. Through interviewed experts
who have experience in eating betel nuts and conducted actual calculations to obtain the
relational degree among the five major influencing factors on taste. In addition to innovating
research in this field, it not only can transform ordinal conditions into cardinal situations, but also
can achieve the overall maximum economic in this field.
| 5 | Author(s):
Chiu-Tzu Tsai. Page No : 105-138 |
Carbon Footprint Transparency and Brand Equity through ESG-Driven Value Co-Creation in the Global Skincare Industry
Abstract
As sustainability increasingly drives consumer choice and brand competitiveness, the global
skincare industry must demonstrate authentic environmental commitments beyond superficial
green marketing. This study investigates how carbon footprint management influences brand
equity through value co-creation mechanisms, addressing a critical gap in sustainable marketing
literature where the dynamic pathway from carbon transparency to brand asset building through
consumer participation remains theoretically underexplored across cultural contexts.
Employing an explanatory sequential mixed methods design, this research integrates
quantitative survey data from 600 consumers across North America, Western Europe, and East
Asia with qualitative interviews of sustainability executives from leading skincare companies.
Structural equation modeling tests hypothesized relationships among carbon footprint
transparency, Environmental, Social and Governance perceptions, value co-creation behaviors,
brand trust, and brand equity, while multi-group analysis examines cross-cultural moderating
effects. Results demonstrate that carbon footprint transparency significantly enhances brand
loyalty through brand trust, accounting for 59.7 percent of the total effect, while value
co-creation behavior contributes 54.0 percent of the total effect in translating Environmental,
Social and Governance practices into brand equity. Cross-cultural analysis reveals that European
consumers prioritize environmental dimensions and technical carbon metrics, North American
markets emphasize social responsibility and value-based positioning, while East Asian
consumers focus on governance aspects, including product safety and certifications. The study
identifies a three-stage brand internalization process requiring eight to fourteen months, with
significantly higher completion rates among deeply engaged participants.
The research advances sustainable marketing theory by constructing an integrated
framework explicating psychological pathways linking carbon management to brand assets
through value co-creation. For practitioners, findings underscore the imperative of elevating ESG
to core brand positioning, designing culturally differentiated communication strategies, and
establishing participatory platforms that facilitate consumer engagement from transactional
interactions to identity-defining brand relationships.
| 6 | Author(s):
Ling-Hui Wu. Page No : 139-166 |
Dialectics on Naturalization of Phonetic Musicality: From the Assumption of Auto-Imitation of Children’s Lyrics to Empirical, Pedagogical Research on Reshaping KK Phonetic Schema of American Pronunciation
Abstract
The essay aims to extrapolate the theorization of “naturalization of phonetic musicality” not
only in terms of the fetal development of senses and Nature, but also of teaching practices of two
preschool learners (implemented from 2016 to 2020), the very ones which to verify the
accessibility of Piagetian organism. Meanwhile, by means of the theoretical assumption (English
singing as speaking) and Howell’s Case (implemented from 2013 to 2015), Noam Chomsky’s
structural formula of English pronunciation is employed to reshape the customary KK-model of
pronunciation into a newer logical KK schema of American pronunciation through which to
implement an innovative experiment on some junior college’s freshmen in some Taoyuan junior
college. The inventive point of the study lies in Problem-Resolution Learning and cognitive
action teaching. Here is the argument that a logical learning of pronunciation to its musicality is a
quickest access to English learning. The experiment (conducted from 1918 to 1919) involved two
groups of freshmen as participants: one was the controlled group, a regular class of 56 learners in
the department of cosmetology and styling; the other, the experimental group, composed of 36
volunteers from different departments. The data was collected and assessed at random and
independent samples for a two-tailed t-test and 5 scales of Linker assessment of feedback. It
resulted in the fact that 99.99% performative objectives and learning efficiency were reached and
extended as a creative teaching methodology for EFL to enhance their basic competence of
pronunciation for conversation, reading and examinations, the very ones which have been all
based on the KK model of pronunciation.
| 7 | Author(s):
Han-Pin Yu. Page No : 167-182 |
The Impact of Generative Artificial Intelligence Capabilities on Entrepreneurial Resilience: An Empirical Study of Taiwanese Small and Medium-sized Enterprises
Abstract
The rapid development of generative artificial intelligence presents transformative
opportunities for resource-constrained small and medium-sized enterprises (SMEs). This study
investigates how generative AI strengthens the entrepreneurial resilience of Taiwanese SMEs
through the mediating role of entrepreneurial orientation, while examining the moderating
influence of market turbulence. Employing structural equation modeling, we analyze survey data
from 350 Taiwanese SMEs to examine the relationships among generative AI capabilities,
entrepreneurial orientation, entrepreneurial resilience, and market turbulence. Our findings reveal
that generative AI capabilities significantly and positively influence entrepreneurial orientation,
validating that this technology, as a lower-order dynamic capability, effectively supports the
development of higher-order entrepreneurial orientation. Entrepreneurial orientation
demonstrates significant positive effects on entrepreneurial resilience, while generative AI
capabilities directly and positively impact resilience. Mediation analysis confirms that
entrepreneurial orientation plays a partial mediating role, and market turbulence significantly
enhances the positive influence of entrepreneurial orientation on entrepreneurial resilience.
Theoretically, this research integrates dynamic capability theory and entrepreneurial orientation
theory, constructing a comprehensive framework for understanding how generative AI influences
organizational resilience. Practically, our findings provide strategic guidance for SME managers
regarding technology adoption, recommending prioritized investments in human skill
development, technological infrastructure construction, and data-driven culture cultivation. This
study offers crucial theoretical foundations and practical guidance for Taiwanese SMEs
navigating digital transformation.
