R. Balamuralikrishnan, A. S. H. Al-Mawaali, M. Al-Yaarubi, B. B. Al-Mukhaini, Asima Kaleem
{"title":"Seismic Upgradation of RC Beams Strengthened with Externally Bonded Spent Catalyst Based Ferrocement Laminates","authors":"R. Balamuralikrishnan, A. S. H. Al-Mawaali, M. Al-Yaarubi, B. B. Al-Mukhaini, Asima Kaleem","doi":"10.28991/hij-2023-04-01-013","DOIUrl":"https://doi.org/10.28991/hij-2023-04-01-013","url":null,"abstract":"Globally, since there are more systems of civil infrastructure, there are also more degraded buildings and structures. If upgrading or strengthening is a practical option, complete replacement is likely to be an escalating financial burden and may be a waste of natural resources. It is necessary to repair or strengthen a number of reinforced concrete buildings and structures in order to boost their load-bearing capabilities or improve their ductility under seismic stress. Additionally, due to changes in service circumstances, a structure might need to be modified to reduce deflections or manage cracking. Strengthening may be preferable to limiting usage, capping applied loads, and regularly inspecting the structure rather than removing the existing structure or part and building a new one. This study aims to examine the flexural, shear, and combined effect of flexural and shear behavior of reinforced concrete (RC) beams strengthened with externally bonded spent catalyst-based ferrocement laminates and compare them to the control beams (unstrengthened) under two-point loading conditions. This study involves researching laminates with various spent catalyst doses, such as 3, 6, 9, and 12%, in an effort to determine the best amounts that will improve the structural performance of ferrocement laminates. Twelve spent catalyst-based ferrocement laminates measuring 500(L) × 125(B) × 20 mm (thickness) with 3% volume fraction of meshes each were cast and tested in the lab as part of the preliminary investigation. For repeatability, three laminates per case were employed. Eight numbers of under-reinforced RC beams measuring 75(L) × 100(B) × 150(D) mm were cast for the main study; six numbers were strengthened with optimized spent catalyst-based ferrocement laminates bonded with flexible epoxy systems at the tension zone, shear zone, and combination of tension and shear zone. Two of the beams were cast as control specimens. The beams were then evaluated using a Universal Testing Machine (UTM) with a 1000 kN capacity under two-point loading conditions. As a result, the strength, yield load, ultimate load, stiffness, ductility, and related failure modes of all tested beams' flexural and shear performances were examined. According to a preliminary analysis of laminates made of spent catalyst, the dosage of 9% provides good flexural strength in comparison to other doses. In comparison to the strengthened beam, the control beam's initial cracks appeared earlier. In comparison to the control beam, the strengthened beam has an increase in load-carrying capacity of 18% for flexure, 16% for shear, and 30% for the combined impact of flexure and shear. In comparison to the control beam, the deflection of the strengthened beam was decreased by close to 20 to 40% for flexure, 10 to 30% for shear, and 15 to 20% for the combined effects of flexure and shear at the same load level. In relation to control beams, the ductility also improved up to 30% for flexure, 25% for she","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115501268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating the Convergence of Artificial Intelligence and Space Law: Challenges and Opportunities","authors":"Ibrahim Al Sabt, Mohammad Owais Farooqui","doi":"10.28991/hij-2023-04-01-04","DOIUrl":"https://doi.org/10.28991/hij-2023-04-01-04","url":null,"abstract":"The space industry is one of the most technologically advanced industries that aims for scientific explorations that benefit humanity on multiple fronts. Further, Artificial Intelligence (AI) technologies comprise game-changing tools that could be utilized to facilitate space exploration aims. The emergence of AI in the space industry would evolve how both industries look. Since many challenges in the current space industry could be addressed by implementing artificial intelligence, space objects will create \"Intelligent Space Objects\". Different studies were conducted to explore the implementation of AI technologies in space activities and their legal implications. The scope of this paper goes beyond the existing work. It will investigate the main AI applications in space and then explore their legal challenges, including issues related to regulations, liability, and policy questions. Accordingly, it will discuss the need for developing a novel legal framework to address these challenges, creating a strategic opportunity for international collaboration between states and organizations that will contribute to advancing space law. This study will review, evaluate, and analyze the current situation and recommend ways to establish a novel international space organization. Doi: 10.28991/HIJ-2023-04-01-04 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"25 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131991092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. K. Rakangthong, Yuttachai Hareebin, K. Dowpiset, Jaturon Jutidharabongse, S. Aujirapongpan
{"title":"Exploring Managers' Skills Affecting Dynamic-Innovative Capabilities and Performance in New Normal Era","authors":"N. K. Rakangthong, Yuttachai Hareebin, K. Dowpiset, Jaturon Jutidharabongse, S. Aujirapongpan","doi":"10.28991/hij-2023-04-01-03","DOIUrl":"https://doi.org/10.28991/hij-2023-04-01-03","url":null,"abstract":"The human resources department, as a dynamic mechanism in the hotel business, is a supporter and a manager who manages the corporation to grow by planning, supervising, and assuring the expected performance leads to desirable outcomes. The situation of spread of the COVID-19 virus has resulted in businesses and labor departments having to adapt to survive by upgrading existing knowledge and adding new skills. Therefore, this research aims to describe components and models of necessary skills development for performance affecting dynamic capabilities and performance in a new normal era for human resources managers of five-star hotels in Phuket Province, which are crucial components in an increased corporation’s sustainability and performance in terms of personnel efficiency, assets, funds, and information. This research is quantitative, and research data was collected from a total of 384 human resource managers of five-star hotels. There was a mutual discussion of factor analysis and structural equation results with three human resources managers who have been successful for not less than seven years in their work. The components consisted of systematic consideration through the following causes: necessary skills; professional skills, work skills, and emotional skills, mediator variables; dynamic capabilities, and organizational performance. This research also discussed five guidelines for developing the necessary skills for performance. As various factors have affected the performance in the new normal era, the human resources executives of five-star hotels in Phuket province should apply them and consider them together with their business plans for setting the strategic plan of organizational management, management, administrative, and human resources development. Doi: 10.28991/HIJ-2023-04-01-03 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133038078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dewa Gede, Hendra Divayana, P. Wayan, Arta Suyasa, N. Santiyadnya, Made Susi Lissia Andayani, I. M. Sundayana, I. Nengah, Dasi Astawa, Ni Wayan, Rena Mariani, G. Ayu, Dessy Sugiharni
{"title":"Utilization of the Weighted Product-Based CIPP Evaluation Model in Determining the Best Online Platform","authors":"Dewa Gede, Hendra Divayana, P. Wayan, Arta Suyasa, N. Santiyadnya, Made Susi Lissia Andayani, I. M. Sundayana, I. Nengah, Dasi Astawa, Ni Wayan, Rena Mariani, G. Ayu, Dessy Sugiharni","doi":"10.28991/hij-2023-04-01-015","DOIUrl":"https://doi.org/10.28991/hij-2023-04-01-015","url":null,"abstract":"Since the COVID-19 pandemic, there have been many free online platforms that can be used to support the online learning process at health colleges in Bali. However, it is difficult to determine the best online platform from the various choices of free online platforms that are scattered on the internet. Therefore, it needs innovations that contribute to helping solve these problems. One model as an innovation that can be used and contributes to solving problems is the Weighted Product-based CIPP evaluation model. The model needs to be measured for the quality of its calculations to ensure success in determining the best online platform. Therefore, this research aimed to show the quality of the Weighted Product method calculation integrated with the CIPP (Context-Input-Process-Product) model in determining the best platform used in health colleges during the COVID-19 pandemic. The instrument used to assess the quality of that calculation was a questionnaire consisting of eight questions. The subjects involved in the assessment were 20 experts. The research was carried out at several health colleges in Bali. The analytical technique used in analyzing the research data was descriptive-quantitative. The analysis was carried out by comparing the quality percentage of the calculation simulation with the quality standard based on an eleven-point scale. The study results showed the quality percentage of calculation simulation was 87.250%, so it was included in the very good category. This research has a significant impact on the progress of the educational evaluation field through research findings in the form of the appearance of the combination of the Weighted Product method with the CIPP evaluation model. The novelty of this research is the combination of the Weighted Product method and the CIPPmodel, which makes it easier for educational evaluators to determine the best online platform that supports online learning during the COVID-19 pandemic and even post-COVID-19. Doi: 10.28991/HIJ-2023-04-01-015 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115667313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Consumer’s Personality Traits and Knowledge-sharing Behavior on Shoppertainment Platforms: The Mediating Role of Subjective Well-being and Trust","authors":"T. Phuthong","doi":"10.28991/hij-2023-04-01-014","DOIUrl":"https://doi.org/10.28991/hij-2023-04-01-014","url":null,"abstract":"Objectives: This research analyzed the direct and indirect influences of consumer personality on knowledge-sharing behavior through shoppertainment platforms using subjective well-being and trust as mediators. Methods/Analysis: A questionnaire survey was developed and distributed to 320 consumers with familiarity and experience in purchasing products from the TikTok shop and sharing knowledge, information, news, and purchasing experiences with the Thai TikTok community. This study adopted non-probability and purposive sampling techniques, with measurements and structural model assessments performed before hypothesis testing using the partial least squares structural equation model (PLS-SEM) with SmartPLS statistical software. Findings: Extraversion and openness to experience had a direct positive influence on trust, while neuroticism showed a direct negative influence on trust. Extraversion had a direct positive influence on subjective well-being, while neuroticism showed a direct negative influence on subjective well-being. Both trust and subjective well-being directly influenced knowledge-sharing behavior on the shoppertainment platform. Extraversion and openness to experience positively influenced knowledge-sharing behavior on the shoppertainment platform via trust, while neuroticism negatively influenced knowledge-sharing behavior on the shoppertainment platform through trust. Importantly, extraversion, openness to experience, and agreeableness positively influenced knowledge-sharing behavior on the shoppertainment platform via subjective well-being, with neuroticism negatively influencing knowledge-sharing behavior on the platform through subjective well-being in the same manner. Novelty/Improvement:Results contribute to an improved understanding of the mechanisms of a robust and competitive online retail business model in the digital era that can best deliver business sustainability by elevating consumers’ knowledge-sharing behaviors to facilitate purchasing decisions on goods or services via shoppertainment platforms. Doi: 10.28991/HIJ-2023-04-01-014 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121345937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Factors Affecting Innovative Behavior: An Employee Assessment System Based on Knowledge Creation","authors":"Natineeporn Rattanawichai, Mongkolchai Wiriyapinit, Jintavee Khlaisang","doi":"10.28991/hij-2023-04-01-012","DOIUrl":"https://doi.org/10.28991/hij-2023-04-01-012","url":null,"abstract":"Organizations thrive on the innovative behavior of their personnel, but the specific factors that influence such behavior are not widely established, especially in the Thai context. An examination of the literature reveals that the knowledge management (KM) process, which has its basis in the process of knowledge creation known as the SECI process, serves to promote innovative behavior and is a key driver of competitive advantage within innovative organizations. This research study sought to determine which factors account for success in innovation, and to establish an assessment system to evaluate employee innovation. The study sample comprised 500 employees from companies operating in the technology sector. Confirmatory factor analysis (CFA) was carried out, and an eight-factor model was formulated on the basis of the available data. The eight factors in the model were determined to have a significant influence on the success of innovative behavior observed in Thai companies. The relevant factors comprised Sharing of knowledge (SK), Self-efficacy (SE), Problem solving skills (PS), Collaboration ability (CA), Culture of innovation (CI), Organizational support (OS), Culture of learning (CL), and Executive leadership (EL). Within the organizational context, the findings reveal the statistically significant contribution of Sharing of knowledge, Culture of innovation, Organizational support, and Self-efficacy in the promotion of innovative behavior. The study results may prove helpful for organizations wishing to assess the innovative capabilities of their staff, while the success factors may be implemented within organizations through the practical application of an assessment system. Also, by filling a research gap in the literature review, this work will be beneficial to academics and researchers in order to better promote innovative behavior. Doi: 10.28991/HIJ-2023-04-01-012 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128930774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enterprise Architecture: Enabling Digital Transformation for Operational Business Process during COVID-19","authors":"Kori Viony Hardi, Nilo Legowo","doi":"10.28991/hij-2023-04-01-01","DOIUrl":"https://doi.org/10.28991/hij-2023-04-01-01","url":null,"abstract":"The SARS-CoV-2 pandemic and the global response to contain its spread and deaths have been unprecedented, according to UNICEF research on COVID-19 released in 2021. Many steps had been taken by countries worldwide, particularly those in South Asia. As of May 17th, 2020, Indonesia reported a total of 17,514 daily positive cases. It has been confirmed that the majority of cases throughout the archipelago occur primarily on Java, particularly in the Greater Jakarta, Greater Bandung, Semarang, Solo, and Greater Surabaya areas. The research object of this paper is a system integrator company located in, Central Jakarta. The company's business is badly impacted by this pandemic. The company provides nearly all ICT solutions, yet improving their internal systems is an issue that has never been brought up. Due to physical distance regulations, leading workers to work from home. To keep the business running, the company began using email as their only tool to run the whole system, which is not effective and causing a crisis for the company. The purpose of this paper is to propose a digital transformation plan as a solution and to support business continuity by utilizing TOGAF ADM. Doi: 10.28991/HIJ-2023-04-01-01 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129590188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Isaac B. Oluwatayo, Ayodeji O. Ojo, O. A. Adediran
{"title":"Socioeconomic impacts of Households’ Vulnerability during COVID-19 Pandemic in South Africa: Application of Tobit and Probit Models","authors":"Isaac B. Oluwatayo, Ayodeji O. Ojo, O. A. Adediran","doi":"10.28991/hij-2022-03-04-02","DOIUrl":"https://doi.org/10.28991/hij-2022-03-04-02","url":null,"abstract":"Coronavirus is a public health issue with socioeconomic and livelihood dimensions. The World Health Organization declared the current novel coronavirus disease (COVID-19) epidemic a public health emergency of international concern on January 30, 2020, and a global pandemic on March 11, 2020. The South African government has implemented different strategies, ranging from total lockdown in certain locations and provision of palliatives in some provinces across the country. This study, therefore, investigated the correlates of vulnerability and responsiveness to the adverse impacts of COVID-19 in South Africa. The study utilized primary data collected among 477 respondents. Descriptive statistical tools, Tobit and Probit regression models, were used to analyze the data. The study found different levels of vulnerability (low, medium, and high) and responsiveness among households, including stocking up of food items, remote working, reliance on palliatives, and social grant provision, among others. Some of the correlates of responsiveness to the COVID-19 pandemic include being employed, the type of community, and the income of respondents. The study, therefore, recommends increased investments in welfare programmes (safety nets, palliative measures and economic stimulus packages) as well as capacity building of households through education to reduce vulnerability. Doi: 10.28991/HIJ-2022-03-04-02 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121797106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-class SVM Classification Comparison for Health Service Satisfaction Survey Data in Bahasa","authors":"G. Indrawan, H. Setiawan, Aris Gunadi","doi":"10.28991/hij-2022-03-04-05","DOIUrl":"https://doi.org/10.28991/hij-2022-03-04-05","url":null,"abstract":"This study aimed to compare the Multi-class Support Vector Machine (MSVM) classification with the One-versus-One (OvO) and One-versus-Rest (OvR) approaches using unigram and bigram features. The study used the service satisfaction survey report of Denpasar public health centers by the Center for Public Health Innovation (CPHI), Medical School, Udayana University. As Bali is known as the world's main tourism destination, it is important to know about its supporting public health service through its representative capital city, Denpasar. Moreover, this study laid the foundation for the classification process using the available methods to fit in Indonesian health service satisfaction survey data, which assists in making decisions to improve health services. Since Bali is one of the provinces in Indonesia and all of those provinces refer to the same national regulation, health service satisfaction survey data that is in the Indonesian language (Bahasa) should have the same aspects, like category, priority, word-related matters (including abbreviations, acronyms, terminology), etc. that overall make it unique and need specific processing. That work was considered a contribution since there is no such study to the best of the author's knowledge and the foundation would be useful as a part of the future vision for the integrated system of Indonesian health big data. Since in reality, satisfaction survey data tends to be unbalanced, this study also compares the developed models using unigram and bigram features without and with feature selection (FS). Those features were then processed using the OvO MSVM and OvR MSVM models. k-fold cross-validation was used to divide training data and testing data and, at the same time, validate the models. Through experiments without and with FS, the OvO MSVM and OvR MSVM models with unigram features had better performance in general than the same models with bigram features. Without FS and with unigram features, comparable differences were found where the OvO MSVM model was slightly better on accuracy and precision, while the OvR MSVM model was slightly better on recall and the F1score. Without FS and with bigram features, comparable differences were also found, where the OvR MSVM model had slightly better performance than the OvO MSVM model. With FS and with unigram and bigram features, the OvR MSVM model had better performance in general than the OvO MSVM model. Doi: 10.28991/HIJ-2022-03-04-05 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121928558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Are Activation Teaching Methods Really Effective?","authors":"Gabriela Gabrhelová, Slávka Čepelová","doi":"10.28991/hij-2022-03-04-06","DOIUrl":"https://doi.org/10.28991/hij-2022-03-04-06","url":null,"abstract":"The primary aim of the presented paper is to demonstrate the effectiveness of activation teaching methods in the teaching of technical subjects at secondary vocational schools through pedagogical research using a pedagogical experiment. The effectiveness of the activation teaching methods is demonstrated in the Integrated Rescue System subject taught in the field of Security and Legal Activity. The object of the research are pupils who were 2nd year pupils in the 2019/2020 school year, as well as teachers of the analyzed subject. The pedagogical experiment was carried out in three consecutive years, namely in the school years 2019/2020, 2020/2021 and 2021/2022. The presented paper has the classic structure of a scientific work; it is divided into a theoretical and an analytical part. We processed the theoretical part of the work using secondary analysis. Pedagogical research was used in the analytical part of the work. Both qualitative and quantitative pedagogical research were used. Qualitative pedagogical research was carried out using a semi-structured interview with open questions. Observation was also used. The quantitative part of the pedagogical research was carried out using a standardized questionnaire. Another method of quantitative pedagogical research was the pedagogical experiment, i.e., its implementation led to obtaining outputs of a quantitative nature. When evaluating the results of pedagogical research of a quantitative nature, we used mathematical-statistical methods for our chosen variables, which were not only processed, but also analyzed through the statistical program SPSS Statistics 22.0. We proved through a pedagogical experiment of a longitudinal nature that activation teaching methods are really effective in teaching technical subjects at secondary vocational schools, while within the framework of that pedagogical experiment it was proved that it is possible to apply activation teaching methods very effectively in the so-called flipped classroom model, which we present as suitable for effective activation teaching of secondary school pupils. Doi: 10.28991/HIJ-2022-03-04-06 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130301197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}