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“Matved” – Mobile application to support the educational process in garment design
... Modern, environmentally friendly textile materials can enhance selected design solutions that meet high aesthetic properties and requirements. Therefore, when creating clothing, it is necessary to use new scientific achievements when choosing methods for processing raw textile materials [5][6][7][8][9][10], methods for the calculation of different garment types patterns [11,12], using digital tools for calculating indicators of material properties [13], and the sewing techniques of garment manufacturing [14]. The problems of processing industrial hemp into spinning fibre have been raised by researchers who have used mechanical cottonization methods and ultrasonic cavitation to increase the degree of decomposition of complex hemp fibres. ...
The production of competitive textile products can be ensured by using natural, environmentally friendly fibres, which include hemp fibre, as raw materials. To expand the possibility of its use, an essential operation is the pre-treatment of the fibre. The use of electric pulse processing of hemp fibre will provide the ability to control the depth of cottonization, select optimal parameters that collectively evaluate the spinning ability of the fibre and correspond to the permissible similar indicators of cotton fibre. The purpose of the work done is to study the mechanism of electric pulse processing of hemp fibre by identifying its structural characteristics under various processing modes for further use. The work carried out studies of the process of cottonization of hemp fibre by a physical-mechanical method using an electric pulse discharge from 500 to 2500 cycles. An effective mode of electric pulse processing of fibres has been established, amounting to 2500 pulses of electric discharges, which makes it possible to obtain cottonized hemp fibre with the required spinning ability. The parameters of cottonized hemp fibre have been determined, allowing the use of hemp cottonin to produce mixed yarn using a card spinning system on cotton spinning equipment.
The study aims to develop a mobile application to support the process of designing underwear. The application allows calculating parameters of underwear patterns. The method of semantic differential has been used to evaluate the developed mobile application. The resulting psychographic profiles of the application indicate a positive assessment by experts. The developed app allows achieving the same precision of the calculation as other calculation methods while the speed is much preferable. Besides that, the risk of accidental mistakes due to the human factor is excluded from the process of designing underwear patterns.
Due to the COVID19 pandemic that challenged our society with necessity of distance learning it is right to provide educational institutions with tools those would be accessible anytime and anyplace for students. The aim of the current research is to develop an app that will support students studying apparel design as well as their teachers. The prototyping method was used to explore aspects of an intended design of the app. The method of semantic differential was used in order to evaluate the prototype. Comparative analysis of the already existing apps and the developed one was used to determine the level of the app competitiveness. The mobile app “CloStyler” was developed by using MIT App Inventor. Using the app allows achieving the labor productivity growth up to 568.5 %. The reduction of time costs is 29.4-85.0 %. By means of the comparative analysis of the apps those are already on the market and the developed app “CloStylef” it was determined that “CloStyler” is better suited and better equipped for the task of computing the parameters of the basic blocks of clothing.
In past decade fashion world as well as world of technologies is more and more filling with smart clothing. Increasing aesthetic by use of smart clothing technology is vital when designing a dance costume. Available works on the question are dedicated to either designing and wearing of dance costumes or smart clothing itself with no regard to dance costumes. The aim of the current study is to systemise smart clothing technologies those might be used for dance costumes to provide the ability to change visual characteristics by using mobile app. Statistical analysis was applied to investigate the specifics of the smart clothing range and its interactions with mobile apps. The method of prototyping was used to assess the necessity of providing the smart clothing item with specific mobile app. A dance costume was designed on basis of light emitting diode technology. The assessment was done by members of dance teams. It was determined that mobile app would be more suitable way to manage light modes of costumes due to the fact that smartphones are usually carried around and remote controls are not. The app will provide more competitiveness of the clothing as well as insure comfort of a dancer.
The use of digital media is increasingly being promoted in school teaching. Since this aspect changes the interaction between teachers and pupils, this research is concerned with the development of a prototype of a mobile application for Android and iOS, in which different learning applications for language acquisition are offered on the basis of learning analytical measurements provided by experts in the field. By logging and collecting interactions of the user, it is possible to create a variety of statistical evaluations and thus respond to the needs and weaknesses of students. For the evaluation of the application, a user experience test was carried out, whereby the child-friendly operation of the application was tested. Due to the very positive feedback, the design was found to be good and can therefore be further developed.
The study focused on the application of the design science research approach in the course of developing a mobile learning application, MobileEdu, for computing education in the Nigerian higher education context. MobileEdu facilitates the learning of computer science courses on mobile devices. The application supports ubiquitous, collaborative, and social aspects of learning among higher education students. Moreover, the application eases access to learning resources. The paper first describes analysis, design, and implementation activities related to the development of MobileEdu. Also, the paper deliberated on the characteristics and scope of the adherence of MobileEdu to the traits and ideas of design science research. To evaluate MobileEdu in a real-life learning setting, experiment was conducted with 142 third-year undergraduate students in a Nigerian university. Besides the learning achievement of the students using MobileEdu, the study examined the impact of MobileEdu on students’ attitudes toward studying in a system analysis and design course. Experimental data were collected from pre- and post quizzes, interviews, and a questionnaire administered to students. The results of the evaluation are encouraging and showed that the MobileEdu application has a potential to improve students’ learning achievements. In addition, the pedagogical experiences of students were mostly positive and students’ attitudes toward the system analysis and design course through MobileEdu was better than those of students who studied the course via traditional methods. Finally, the study offered suggestions for how to implement effectively a mobile learning-supported course in computing curriculum.
Teacher ability to arrange learning environmet will affect the student’s interest in learning as well in utilizing mobile technology. The purpose of this research is to develop mobile learning using the cooperative learning approach especially Jigsaw technique. The method of this research is development research using ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The application was validated by experts for technical aspects and also students from two different grades, i.e grade VII and grade VIII on physics subject for application acceptance responses. The result showed that both technically and application acceptance were in good level. It means that this mobile cooperative learning application can used to enhance student’s learning interest.
This paper is a critical meta-analysis of mobile learning research based on qualitative descriptions of meta-analyses of m-learning research studies published between 2009 and 2013. The study covered in this paper looks at the conceptual frameworks and theories underpinning mobile learning research studies, the global experiences of using mobile digital devices for learning, and the factors enhancing or hindering the acceptance and use of mobile digital devices for learning in higher education. The study concludes that without reference to theoretical and pedagogical issues, including the design of m-learning, studies of m-learning will not necessarily further our understanding of how m-learning can contribute to successful learning outcomes globally.
Mobile learning is a relatively new phenomenon and the theoretical basis is currently under development. The paper presents a pedagogical perspective of mobile learning which highlights three central features of mobile learning: authenticity, collaboration and personalisation, embedded in the unique timespace contexts of mobile learning. A pedagogical framework was developed and tested through activities in two mobile learning projects located in teacher education communities: Mobagogy, a project in which faculty staff in an Australian university developed understanding of mobile learning; and The Bird in the Hand Project, which explored the use of smartphones by student teachers and their mentors in the United Kingdom. The framework is used to critique the pedagogy in a selection of reported mobile learning scenarios, enabling an assessment of mobile activities and pedagogical approaches, and consideration of their contributions to learning from a socio-cultural perspective.
There is a rapid increase in adoption of mobile technology for language teaching and learning. Mobile Assisted Language Learning (MALL) provides easy access for any learner without the constraints of both place and time. In Mobile Learning, devices like smartphones, iPod, tablet, laptop, iPad are implemented to scaffold language learning. Numerous apps are developed and utilized for those who learn English as a second language. This paper focuses on the classification of mobile apps based on primary, secondary and tertiary learners. Reviewed articles and dissertations were concentrating on implementation, analysis, evaluation of the mobile apps for language learning. These studies also discussed the design, method, theory and pedagogical features that underpin the current mobile apps. Since these apps are developed to enhance the language skills of the learners, emphasis should be primarily made on the acquisition of language skills such as listening, speaking, reading and writing skills through mobile technology. Thus the finding shows that listening skills are better acquired through apps more than that of other language skills.
The ubiquity and educational potential of mobile applications are well acknowledged. This paper proposes six theory-based, pedagogical strategies to guide interaction design of mobile apps for young children. Also, to augment the capabilities of mobile devices, we used a humanoid robot integrated with a smartphone and developed an English-learning app that applied the design strategies to this environment. Our observations of children's one-on-one use support the promise of the strategies and the combined use of robots and mobile devices to be a viable option to help optimize mobile learning.
This study investigated the current state of college students' perceptions toward mobile learning in higher education. Mobile learning is a new form of learning utilizing the unique capabilities of mobile devices. Although mobile devices are ubiquitous on college campuses, student readiness for mobile learning has yet to be fully explored in the United States. The paper describes a conceptual model, based on the theory of planned behavior (TPB), which explains how college students' beliefs influence their intention to adopt mobile devices in their coursework. Structural equation modeling was used to analyze self-report data from 177 college students. The findings showed that the TPB explained college students' acceptance of m-learning reasonably well. More specifically, attitude, subjective norm, and behavioral control positively influenced their intention to adopt mobile learning. The results provide valuable implications for ways to increase college students' acceptance of mobile learning.
This study investigated the longitudinal trends of academic articles in Mobile Learning (ML) using text mining techniques.
One hundred and nineteen (119) refereed journal articles and proceedings papers from the SCI/SSCI database were retrieved
and analyzed. The taxonomies of ML publications were grouped into twelve clusters (topics) and four domains, based on abstract
analysis using text mining. Results include basic bibliometric statistics, trends in frequency of each topic over time, predominance
in each topic by country, and preferences for each topic by journal. Key findings include the following: (a) ML articles increased
from 8 in 2003 to 36 in 2008; (b) the most popular domain in current ML is Effectiveness, Evaluation, and Personalized Systems;
(c) Taiwan is most prolific in five of the twelve ML clusters; (d) ML research is at the Early Adopters stage; and (e) studies
in strategies and framework will likely produce a bigger share of publication in the field of ML.
KeywordsMobile learning–M-learning–Text mining–Bibliometrics–Mobile learning trends
Review of mobile learning trends 2010-2015: A meta-analysis
- K N Chee
- N Yahaya
- N H Ibrahim
- Noor Hassan
Materials science in the manufacture light industry (clothing manufacture) (Publishing сenter «Academy
- B A Buzov
- T A Modestova