• Advances in nano research
• /
• v.12 no.5
• /
• pp.489-499
• /
• 2022

Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, nanoparticles and base fluids characteristics, pH, ultrasonic power and frequency, agitation time, and surfactant type and concentration, determine the nanofluid stability regime. Indeed, it is often too complicated and even impossible to accurately find the conditions resulting in a stabilized nanofluid. Furthermore, there are no empirical, semi-empirical, and even intelligent scenarios for anticipating the stability of nanofluids. Therefore, this study introduces a straightforward and reliable intelligent classifier for discriminating among the stability regimes of alumina-water nanofluids based on the Zeta potential margins. In this regard, various intelligent classifiers (i.e., deep learning and multilayer perceptron neural network, decision tree, GoogleNet, and multi-output least squares support vector regression) have been designed, and their classification accuracy was compared. This comparison approved that the multilayer perceptron neural network (MLPNN) with the SoftMax activation function trained by the Bayesian regularization algorithm is the best classifier for the considered task. This intelligent classifier accurately detects the stability regimes of more than 90% of 345 different nanofluid samples. The overall classification accuracy and misclassification percent of 90.1% and 9.9% have been achieved by this model. This research is the first try toward anticipting the stability of water-alumin nanofluids from some easily measured independent variables.

• Educational Technology International
• /
• v.23 no.1
• /
• pp.67-96
• /
• 2022

Although blogs have been used in online learning environments with optimistic expectations, the distributed nature of blogs can pose some challenges. Currently, we do not have a robust collection of tested blogging strategies to help students interact more effectively with each other when blogs are used as a primary form of engagement in an online class. Thus, the purpose of the study was to test an early iteration of an instructional blogging strategy, "Featured Student Profiles," which is designed to help students become acquainted with each other better and encourage them to visit and comment on each other's blogs. Sixteen pre-service teachers who were enrolled in an online course in which student blogs are the primary medium of peer interactions, participated in the study. Using a design case approach, seven students participated in interviews and all student blog interactions were analyzed. Thematic analysis was applied to analyze the interview data and identify salient themes of students' blogging experiences overall under the study strategy. The findings indicated that students took the most direct and efficient path they experienced to complete the blog task. Their peer interaction patterns varied, but several shifted from random to targeted relationships as the semester progressed. Although all students perceived the strategy as a positive approach to peer awareness, there was no clear evidence of its effect on student interactions.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.11 no.3
• /
• pp.27-35
• /
• 2023

Purpose - The present study bridges a significant gap in the literature by investigating the complex relationship between job crafting and protean career attitudes. It has been demonstrated that job crafting, which entails the proactive redesign of work roles, responsibilities, and relationships, empowers employees, and elevates. Research design, data, and methodology - This study employed a tailored search approach with specific terms linked to job crafting and protean career attitudes to ensure a thorough and focused analysis. The keywords include "Job crafting," "protean career attitudes," "career development," and related terms. This strategy uses an organized method to identify, screen, and choose appropriate studies. Result: This study synthesizes prior studies and identifies four critical links between the development of jobs and protean career attitudes. To begin with, task crafting, which entails job requirements and scope modifications, leads to protean career attitudes as employees match their roles to their skills and passions. Second, rational crafting, which is adjusting interactions with coworkers and superiors encourages flexible career attitudes. Conclusion - This study insists that organizations must consider the essential practical ramifications. Employers may improve employee growth, engagement, and talent retention by encouraging job customization, recognizing protean workers, cultivating a protean culture, investing in ongoing learning.

• Journal of Practical Engineering Education
• /
• v.16 no.3_spc
• /
• pp.267-274
• /
• 2024

One challenge with teaching practical programming classes is the standardization of development tools on student computers. This is particularly true when a complicated setup process is required before beginning to code, or in remote classes, such as those necessitated by the COVID-19 pandemic, where the instructor cannot provide individual troubleshooting assistance. In such cases, students who encounter problems during the setup process may give up on the class altogether before even beginning to code. Therefore, this paper recommends using GitHub Codespaces as a tool for implementing standardized student development environments from day one. Codespaces provides Docker containers that an instructor can configure in such a way as to enable students to practice installing various coding tools within a controlled space, while also providing a language-specific, fully optimized development environment. In addition, Codespaces may be used more effectively in collaboration with GitHub Classroom, which helps instructors manage both the starter code and coding environment in which students work. In this paper, we compare two semesters of university Node.JS programming classes that utilized different development environments: one localized on student computers, the other containerized in Codespaces online. Then, we discuss how GitHub Codespaces and GitHub Classroom can be used to increase the effectiveness of practical programming classes while also increasing student engagement and programming confidence in class.

• Educational Technology International
• /
• v.25 no.1
• /
• pp.1-25
• /
• 2024

This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.

• Journal of The Korean Association For Science Education
• /
• v.36 no.2
• /
• pp.347-360
• /
• 2016

This study focused on the use of student assessment activities to investigate the impact on reflective thinking in Argument-based Inquiry. The participants of the study were 166 10th grade students (six classes). Over one semester, students participated in five ABI programs that we developed. The experimental group (84 students) was taught Argument-Based Inquiry with students' self and peer assessment activities. The comparative group (82 students) was taught without the activities. We analyzed students' reflective writing to investigate how the student assessment activities influenced the students' reflective thinking. We also used the interviews and surveys to examine the validity of student assessment activities. According to analysis of the reflective writing, the experimental group had a significantly higher mean score than the comparative group in the 3rd and 5th writing. The ratio of students who showed a metacognitive level of reflection with regard to analysis of inquiry process, understanding of learning, and change of thinking increased in both groups, but the experimental group's ratio was higher than the comparative group's. The result of analysis of the reflective practice showed that the ratio of the experimental group's students who reached the metacognitive level of reflection in their writing increased, while the comparative group's decreased. Therefore, we conclude that student assessment activities can create a learning environment that facilitates student participation, increases the students' engagement in the learning process, and can be used as a tool to scaffold learning.

• Journal of Gifted/Talented Education
• /
• v.10 no.2
• /
• pp.1-23
• /
• 2000

The Schoolwide Enrichment Model(SEM) is a representative model for the gifted education. As the model seems to be more conceptual in nature, it is hard to respond to the different interests and changing needs of the gifted learners. Also it does not provide specific procedures and prescriptions in teaching-learning processes for the teachers. Therefore, SEM needs to be modified into a Systemic Model that is more flexible and procedural. The paper proposes an Instructional Systems Design(ISD) model for SEM. The Systemic Model for SEM consists of 5 major steps. These are as follows: Planning, Diagnosis, Prescription, Implementation, Evaluation. In Planning step, there is a six-stage procedure for initiating the implementation of the SEM. In Diagnosis step, there are two-phases in identifying students for participation in the SEM and assessing strengths, interests, and talents of the learners and recording in The Total Talent Portfolio(TTP). In Prescription step, Curriculum Compacting is administered as a systematic procedure for modifying thecurriculum for above-average ability students. In Implementation step, Enrichment Learning and Teaching is an instructional strategy designed to promote active engagement in learning for teachers and students. Whenever each step has completed, Evaluation step should be followed. These 5 steps are repetitive, cycling and interactive. That is, each one becomes input for the next step, process for itself, and output for the previous step. Each step is monitored through the process of Review and Revision step. In conclusion, the paper suggests six strengths of the Systemic Model for SEM; The Model (1) provides the specific procedure in teaching-learning process; 92) has interactive relations with each component; (3) can be revised continuously for creation of the most effective system; (4) can be implemented more flexibly; (5) can be developed as an unique system for each school; (6) facilitates communications between teachers and students.

• Journal of the Korean Chemical Society
• /
• v.63 no.5
• /
• pp.360-375
• /
• 2019

The purpose of this study was to investigate beginning science teachers' perceptions of inquiry-based science instruction using open-ended questionnaire and semi-structured interview. Participants of this study voluntarily set up a goal of inquiry-based science instruction, planned inquiry-based science lessons, and shared and reflected their teaching experiences in their professional learning community for more than a year. Participant teachers recognized students' construction of core scientific concepts through performing scientific inquiry as a goal of science inquiry instruction. Participant teachers indicated that goals of science education such as 'learning scientific core concepts', 'improving students' interest of science', 'improving scientific thinking', and 'understanding the nature of science' can be achieved through students' active engagement in scientific inquiry. Participant teachers recognized not only the importance of teachers' role, but also what roles science teachers should play in order to enable students to perform scientific inquiry. Participant teachers emphasized teachers' roles such as 'identifying core concepts', 'reorganizing science curriculum', 'considering student ability', 'asking questions and providing feedbacks to students', 'explaining scientific concepts', and 'leading students' argumentation.'

• Journal of Fashion Business
• /
• v.19 no.6
• /
• pp.82-100
• /
• 2015

Mobile fashion apps present much opportunity for marketers to engage consumers, however not all apps provide enough functions for their targeted audience. This study aims to determine how mobile fashion apps can be used to build brand community with consumer engagement. Qualitative data on fashion mobile apps were collected from the Apple app store and Android market during the spring and summer of 2015. A total of 110 fashion mobile apps were collected;, 50 apps were identified as apparel brands that either manufacture or sell apparel to consumers, which we categorized as "brand" fashion apps, and the remaining 60 were categorized as "non-brand" fashion apps. The result of the study can be summarized as below. The 60 non-brand fashion apps were grouped into 5 app types: shopping, searching, sharing, organizational, and informational. The main functions are for informational use and shopping needs, since at least half (31 apps) are used for either retrieving information or for shopping. However, in contrast, social networking and location were infrequent and not commonly utilized by these apps. The most common type of non-brand fashion apps available were shopping apps;, many shopping apps enable users to shop from several different websites and save their items into one universal shopping cart so that they only check out once. Most of these apps are informational and help consumers make more informed decisions on purchases;, in addition many offer location services to help consumers find these items in store. While these apps perform several functions, they do not link to social media. The 50 brand apps were grouped into 5 brand types: athletic, casual, fast fashion, luxury, and retailer. These apps were also checked for attributes to determine their functionality. The result shows that the main functions of brand fashion apps are for information (82% of the 50 apps) as well as location searching (72% of 50 apps). Conversely, these apps do not offer any photo sharing, and very few have organizational or community functions. Fashion mobile apps and m-marketing elements: To build brand community, mobile apps can be designed to motivate consumer's engagement with brands. The motivations of fashion mobile apps are useful in developing fashion mobile apps. Entertainment motives can be fulfilled with multimedia attributes, functionality motives are satisfied with organizational and location-based features, information motives with informational service, socialization with community and social network, learning and intellectual stimulation from informational attributes, and trend following through photo sharing. The 8 key attributes of mobile apps can correspond to the 4 m-marketing elements (i.e., Informative content, multimedia, interactions, and product promotions) that are further intertwined with m-branding elements. App Attributes and M-Marketing aim to Build Brand Community;, the eight key attributes can impact on 4 m-branding elements, which further contribute to building brand community by affecting consumers' perceptions of brands preference and advocacy, and their likelihood to be loyal.

• Journal of The Korean Association For Science Education
• /
• v.36 no.3
• /
• pp.371-387
• /
• 2016

Learning at the elbow of scientist is a well-known educational approach to improve students' understanding of science and scientific practice. This study, in the perspective of legitimate peripheral participation in a community of practice, explores how students' scientific practice and perception could be shifted through R&E program with the development of participation. Data from participant observation for 18 months and in-depth interviews were analyzed based on constant comparative method to extract common characteristics of students' participation and major shifts in their scientific practices and perceptions. Students' development of participation was categorized into three stages: legitimate, peripheral, and full participation. In the stage of peripheral participation, students perceived themselves as mere students and showed passive engagement. They just followed the directions of researchers and didn't know what they should be doing. But through continuous participation, students showed enhanced engagement like voluntary article reading, role assignments, and establishing norms in a community of practice with the reference of scientists'. In this stage of transitional participation, students also showed a deepened perception on everyday life of scientist and the community of scientist. And finally in the stage of full participation, students showed responsibility and ownership on research and continuous efforts to refine their research. They recognized themselves as beginning scientists. With these findings, this paper highlighted the dynamic processes of students' development of scientific practices and identity through R&E participation. It also suggests implications for research programs for education, especially for students who have already articulated a science-related career but still have only foggy notions about science.