Dimensions Of Interest Research Articles

Relationship Between the Acceptance of Multiframe Visualization Assisted Teaching Approach (VATA) Interactive With Student Interest and Motivation in Blended Learning Among Music Students in Universiti Pendidikan Sultan Idris

Students in the 21st century have been through and dealing with various teaching technologies to acquire knowledge more quickly and accurately. The learning methods of music education especially in the subject of music can be taught using various learning platforms. Therefore, it is necessary for a student to diversify the learning approaches that are used in the classroom. Blended learning is a method that combines classroom interaction with the use of technology in the teaching and learning process. To facilitate blended learning in learning in music courses, this multiframe VATA interactive is one of the educational technology mediums to assist students in further improving the learning process effectiveness. The objective of this study is to determine whether there is a relationship between the acceptance of multiframe VATA interactive with student motivation and student interest. This research will be conducted at the Faculty of Music and Performing Arts, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak. The sample was selected based on a simple random sampling method whereby 237 samples will be collected from undergraduate bachelor music students. This study will utilize a correlational research design. The questionnaire with 46 items was adapted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), Interest Driven Theory (IDC) and ARCS Motivation Theory. The study conceptualized acceptance of VATA in performance expectancy, effort expectancy, social influence and facilitating conditions dimensions while conceiving student interest as having triggering interest, immersing interest and extending interest dimensions and student motivation with attention, relevance, confidence and satisfaction dimensions. Descriptive and inferential statistics will be carried out for data analysis by using Statistical Package for Social Sciences (SPSS) version 27. The findings will be provided further insights into what works in an open online environment as well as to fulfill learners’ needs and preferences.

Monodrama and Self- Reconstruction: Exploration of Form in Selected Arab Plays

This research attempts to explore the importance of monodrama as an extended monologue that opens a discovery journey of a man’s solitary existence in the twenty-first century. The form offers subsequent polyvocal variations, which explores a set of questions inherent in estrangement, isolationism, and failure to articulate one’s thoughts. Hence, those themes are usually projected in, seemingly, fragmented forms. Dramatic episodes characterized by fragmentation, yet ironically laden with symbolic meanings, draw on mythical, historical and imaginary figures. The resulting combination demonstrates more than just a private experience, but a universal dilemma of alienation and confusion. Inspired by Hamlet’s debate of man’s inner struggle between “What the flesh is heir to” and “of what we suffer” internally, the paper attempts to investigate the selected Arab dramatist’s use of monodrama. The inner struggle in each monologue resembles core thematic trends, which extend to the twenty-first century, performed by actors who open a series of multi-roles that reflect on life, history, culture and other identity factors. Therefore, the paper will be paying extra attention to the weaving of multi-voices and consciousness within a monologue of a single character that embodies all. The main goal is to convey an internal conflict, or a journey to self-discovery, representing the ‘everyman’ reflection on his use of theatrical devices. By intermixing reality and the subconscious, the performer and the audience become pulled into inner realms of the unconscious, giving self- evaluation a more interesting dimension. This will further help reveal the monologue’s significance in treating psychological and social complexities through a concentrated dose of self-reflection in a dream-like framework.

Interest Development Theory in Computing Education: A Framework and Toolkit for Researchers and Designers

Computing is rapidly becoming a critical literacy for succeeding in an increasingly technological world. While the proliferation of programs dedicated to broadening participation in computing increases access, computing education research can benefit from more directly drawing on current interest development theory to improve interventions that increase the desire to participate and persist in computing. In this article, we present an overview of current interest development theory and provide guidance to computing education researchers on ways to ground their conceptualization and measurement of interest in contemporary theory and inform ways of interweaving interest theory throughout intervention or curriculum design. The central contribution of this work is presenting the Integrated Interest Development for Computing Education Framework. This framework is organized around three central dimensions of interest: value, knowledge, and belonging. For each of these dimensions, the framework presents key factors that link the dimension to strategies that can be employed in computing education contexts to help develop interest. The article also describes methods of measuring interest in computing that are consistent with interest development theory, and provides examples and resources for validated measures of interest. We conclude with a discussion of the implications and potential for improving the conceptualization and measurement of interest development in computing education and future work needed to advance an understanding of how interest in computing develops that can lead to improving the design of computing educational programs to support interest development.

Content analysis and engagement rate of instagram account @torajatripadventure and interest in visiting tourists to Tana Toraja tourism destinations

Tana Toraja Regency is one of the districts located in South Sulawesi. Natural beauty, cultural diversity, and customs that are still very thick become one of the characteristics that are not found in other regions. This study aims to 1). identify the content of the Instagram account @torajatripadventure, 2). identify the engagement rate of the Instagram account @torajatripadventure, and 3). identify interest in visiting Tana Toraja Regency. This research uses a quantitative descriptive research design. This study was conducted by sending an online questionnaire via google form to Instagram account followers @torajatripadventure which is known to number 52,600. The sample in this study was 100 people who became followers of the Instagram account @torajatripadventure and the category was determined based on random sampling. Data collection is obtained through questionnaires. The results of this study indicate that 1). Product content and event content are considered interesting, useful, and informative. Furthermore, entertainment content is considered attractive and entertaining even though it is still not useful and promotional content is considered attractive but not useful and persuasive. 2). The four contents are included in the low level of interaction category because the engagement rate is below 1%, however, event content is still the content with the highest engagement rate, followed by entertainment content, product content and promotional content. 3). The dimension of interest and the dimension of desire are the dimensions that most interest respondents, followed by the dimension of seeking information, the dimension of consideration and the dimension of action. As for the average value for calculating the type of content on interest in visiting, event content is the content that gets the highest response from respondents, followed by product content, entertainment content and promotional content.

Many Faces of Mediation

Many Faces of Mediation

DOES PAID PROMOTE INFLUENCES USER FREQUENCY TO PURCHASE? AN ANALYSIS USING AIDA DIMENSION

The purpose of this study is to determine how paid promote program in Instagram could influence user intention to purchase products of fashion, culinary and craft products that dominate. The method used is a descriptive analysis using Attention, Interest, Desire and Action (AIDA) dimension to measure user frequency of purchasing products promoted. Determination of the number of respondents using a survey technique of 100 respondents. Data analysis is done by recapitulating the results of filling out the questionnaire from respondents. Recapitulation is carried out with descriptive techniques to describe the facts of each of those studied. The findings are that relationship between the > 0.600 indicators and the AIDA dimension as an important construct in advertising sustainability is paid promote fashion, culinary and craft products. And the AIDA construct, namely Attention, Interest, Desire and Action, are the driving factors for the dominant frequency response 6-8 times in craft products. It can be said that paid promote can be one marketing tools for creative economic sector products. This study's implications are delivered in two sides, literature and practices. Implication for literature, this research sheds light on customer behavior research in this digital technology era, especially using social media Instagram through paid promote programs within AIDA dimension - which is not yet discussed in previous research. The practical implication of this research is it also brings an emerging development analysis of the impact of using paid promotion as one of the marketing media for the creative economy sector products.

Development of ETStig, a measure for stigma in essential tremor

IntroductionPeople with essential tremor commonly experience psychological difficulties that are not addressed. The effect of stigma, i.e., negative judgement by others because of a perceived difference in this case shaky movement, is a heretofore unstudied element. This project was undertaken to develop and field test a new measure for stigma associated with essential tremor. MethodsUnder guidance from a patient panel and an expert panel of neurologists and psychologists, the essential tremor stigma construct was delineated, and survey items were written to quantify three dimensions of interest: cumulative experience of stigma; related psychological distress; and resulting behavioral dysfunction. After pilot testing and revision, the essential tremor stigma measure underwent field testing by 198 essential tremor patients at two academic neurology clinics. ResultsThe experience, distress and dysfunction scales were shown to have good internal consistency and test-retest reliability. Retained items demonstrated acceptable correlations and response properties. The validity of the distress scale was supported by concurrence with an existing stigma scale for neurologic disease, while a patient's openness to psychologic referral was predicted by higher scores on the dysfunction scale. ConclusionThis new measure is introduced to study the phenomenon of stigma associated with essential tremor. It may prove useful in assessing potential treatments for the psychological distress and maladaptive behavior that result from this stigma.

Sex and Gender Multidimensionality in Epidemiologic Research.

Along with age and race, sex has historically been a core stratification and control variable in epidemiologic research. While in recent decades research guidelines and institutionalized requirements have incorporated an approach differentiating biological sex from social gender, neither sex nor gender is itself a unidimensional construct. The conflation of dimensions within and between sex and gender presents a validity issue wherein proxy measures are used for dimensions of interest, often without explicit acknowledgement or evaluation. Here, individual-level dimensions of sex and gender are outlined as a guide for epidemiologists, and 2 case studies are presented. The first case study demonstrates how unacknowledged use of a sex/gender proxy for a sexed dimension of interest (uterine status) resulted in decades of cancer research misestimating risks, racial disparities, and age trends. The second illustrates how a multidimensional sex and gender framework may be applied to strengthen research on coronavirus disease 2019 incidence, diagnosis, morbidity, and mortality. Considerations are outlined, including: 1) addressing the match between measures and theory, and explicitly acknowledging and evaluating proxy use; 2) improving measurement across dimensions and social ecological levels; 3) incorporating multidimensionality into research objectives; and 4) interpreting sex, gender, and their effects as biopsychosocial.

The influence of entrepreneur's innovation and entrepreneurship on modern art teaching model.

It is necessary to explore the significance of innovation and entrepreneurship to Chinese art education. The organization and operation mechanism of innovation and entrepreneurship education (IEE) is studied according to the current situation of IEE in Chinese art colleges and universities. The IEE system of art colleges and universities is optimized, and a new teaching model of IEE with the characteristics is explored. In addition, the research methods are theoretical analysis, comparative analysis, and empirical analysis. The objects are students from some domestic art academies. The influence of innovation and entrepreneurship on the modern art teaching model is explored. It mainly investigates the awareness and needs of college students’ innovation and entrepreneurship, the professional knowledge of students participating in related activities, the transformation of achievements, and the system and management of IEE. Based on this, a new teaching model of innovation and entrepreneurship is proposed. The six dimensions of creativity, initiative, interest, ideation, independence, and concentration of students in this model are evaluated. The results show that the spirit of innovation and entrepreneurship has a significant role in improving the contemporary art education model on these six dimensions. It is found that this spirit is vital for the development of contemporary art education. In art education, the application of entrepreneurship improves students’ thinking and practical ability. And this spirit is an important part of the construction of contemporary art education.

Improving student engagement using a video-enabled activity-based learning: an exploratory study to STEM preparatory education in UAE

Student engagement is often labelled the “holy grail of learning” (Sinatra, Heddy and Lombardi, 2015: 1). Higher education educators have been implementing different pedagogical approaches to promote active learning with the aim of improving student engagement. This paper proposes an activity -based learning approach with the use of educational video to promote student engagement. We evaluate if such an approach could improve student learning and engagement with STEM subject from three perspectives: students’ motivation, engagement, and academic performance. The main findings are in supportive of the video-enabled activity-based learning approach to promote students’ engagement within class and for future study. ANOVA tests demonstrate the significant differences in the students’ performance with the use of scientific educational videos. In addition, this UAE based exploratory case study has been conducted in the context of middle eastern students’ learning behavior which adds an interesting cultural dimension. This study contributes to knowledge and STEM educator by providing them with insightful and practical guidance on how to effectively use scientific educational video to enhance STEM education in UAE.

Addressing endogeneity in modeling speed enforcement, crash risk and crash severity simultaneously

Speeding is one of the major significant causes of high crash risk and the associated injury severity outcomes. To combat such significant safety concerns, a speed limit enforcement system has been adopted widely around the world. This study aims to present an econometric approach that estimates the casual effect of speed enforcement on safety while addressing the endogeneity issue by employing an instrumental variable approach within a maximum simulated likelihood framework. In our study, safety enforcement is represented as the number of speeding tickets issued from the speed camera systems, while safety profile is presented as two dimensions of interest, including total crash risk and crashes by injury severity levels. The proposed econometric model takes the form of a correlated panel random parameters model with speed enforcement endogeneity. In estimating the joint panel model, speed enforcement and crash severity components are modeled by employing Random Parameters Ordered Logit Fractional Split technique, while ‘ is modeled by employing Random Parameters Negative Binomial regression technique. In the current study context, the ‘operational duration of speed camera’ serves as the instrumental variable for controlling the endogeneity between speed enforcement and safety. Further, the analysis is augmented by a detailed policy scenario analysis. The empirical analysis is demonstrated by employing roadway segment-level crash data and speeding tickets data from Queensland, Australia, for the years 2010 through 2013. From the policy analysis, it is found that a stricter speed enforcement for serious level of speeding offenses is likely to have greater safety benefits in reducing crash severity levels. Moreover, a targeted increase in operation duration along with stricter citations for major speeding is likely to have significant safety gain. The outcome of the study will allow the decision-makers to identify a robust resource allocation and speed camera deployment plan.

Who shapes the CJEU regulatory jurisprudence? On the epistemic power of economic actors and ways to counter it

AbstractWhat role does the Court of Justice of the European Union (CJEU) play in holding European Union (EU) regulatory science, ie the science underpinning public regulation, to account for its epistemic quality? Since Pfizer, CJEU case law has strengthened the role of science in both EU risk regulation and litigation, whilst intensifying judicial scrutiny of scientific reasoning based on procedural standards. Scholars often welcome this approach as striking an adequate balance between effective judicial protection and institutional competence. Some praise the Court as an ‘information catalyst’ promoting procedures, in which epistemic quality is ensured through diligent consideration of and deliberation among all relevant voices. These debates, however, overlook the role of economic actors as information providers, in and challengers of EU risk regulation. This paper re-evaluates the modern post-Pfizer approach from a new, socio-legal perspective by studying, for the first time, the interactions between judicial review and the epistemic power of economic actors, ie their relative ability to influence what EU regulators know at the expense of other actors. We combine an epistemologically informed comparative institutional analysis with doctrinal critique of CJEU case law. Our findings show the need to rethink both legal standing and procedural review in EU risk regulation. Instead of catalysing inclusive procedures that open regulatory science to public scrutiny, the modern approach fosters an exclusive bilateral information exchange between the administration and the regulated industry. The Court reduces the function of process values, such as duty of care and reason-giving, to the protection of a small circle of actors, neglecting the public interest dimension of such values. Thus, the modern approach fails to address, and instead further entrenches the epistemic power imbalances inherent in EU risk regulation. We end by sketching out a normative and doctrinally sound vision of how CJEU review could contribute to EU expert accountability in a more publicly oriented way.

Examining the congruence hypothesis in vocational interest research: the case of teacher students

According to the congruence hypothesis, job and study satisfaction will be higher when individual interests and the respective environment (both conceptualised according to Holland’s RIASEC model) are congruent. As our target group were teacher students, all participants who did not intend to become a teacher or did not meet other inclusion criteria (e.g., no missing data on relevant variables) were removed from the sample, resulting in a final sample of N = 1171. Teacher students completed questionnaires on their vocational interests and their satisfaction with course content. To obtain an assessment of the environment (study majors), N = 166 lecturers were asked to rate their courses with respect to Holland’s RIASEC model. As previous findings have indicated that conclusions are influenced by the congruence measure that is used, we applied two different approaches. First, we computed the profile correlation between the individual interest profile and the environmental profile for each individual to measure congruence. Profile correlation scores were then correlated with satisfaction with course content scores. This correlation was significant (r = .21, p < .001), offering support for the congruence hypothesis. Second, Response Surface Analysis (RSA) was used to predict satisfaction with course content scores from the individual interest and environmental assessment variables and their interaction separately for each interest dimension. Results showed that the relationships between these three constructs were complex, but evidence for the congruence hypothesis could not be found. This makes this study the first study to investigate this hypothesis using RSA methodology.

Growth of Sustainable Enterprise Development in Entrepreneurship Based Students

This study aims to analyze the appropriate model or method in developing sustainable entrepreneurship in Medan Area University students based on entrepreneurship courses This study uses a mixed method research, namely in conducting research the researcher uses a combination of quantitative methods and qualitative methods. Mixed research methods are used because in this study it produces two types of data, namely quantitative data and qualitative data.The mixed method used in this research is concurrent mixed methods, which are procedures in which the researcher brings together or combines qualitative data and quantitative data to obtain a comprehensive analysis of the research problem this research resulted decrease (reduction) in the Pre-Test value to the Post-Test Value where the Negative Ranks show an N Value of 8 and a Mean Rank of 6.06, 9 students experienced an increase in entrepreneurial learning outcomes from Pre-Test scores to Post-Test scores. The mean rank or the average increase is 11.61. Then the difference between entrepreneurial learning outcomes for the Pre-Test and Post Test, it is known that Asymp.Sig (2-tailed) is 0.185 where the value is 0.0185 &lt;0.05, so it can be concluded that "Ha is accepted". Which means "sustainable entrepreneurial development foster students based on entrepreneurship courses can be applied"This study finds the same contrasting dimensions of entrepreneurial interest and business learning, namely the innovation dimension. Likewise, the contrast dimension of self-concept and parental background is the dimension of attitude contrast.&#x0D;

TEACHING EXPLORATION OF CLOTHING FABRIC IRRATIONAL DESIGN APPLICATION PROJECT BASED ON WORKING PROCESS AND EMOTIONAL BEHAVIOR CHANGE

TEACHING EXPLORATION OF CLOTHING FABRIC IRRATIONAL DESIGN APPLICATION PROJECT BASED ON WORKING PROCESS AND EMOTIONAL BEHAVIOR CHANGE

Survey of Simulation Tools to Assess Techno-Economic Benefits of Smart Grid Technology in Integrated T&amp;D Systems

In order to succeed in the energy transition, the power system must become more flexible in order to enable the economical hosting of more intermittent distributed energy resources (DER) and smart grid technologies. New technical solutions, generally based on the connection of various components coupled to the power system via smart power electronic converters or through ICT, can help to take up these challenges. Such innovations (e.g., decarbonization technologies and smart grids) may reduce the costs of future power systems and the environmental footprint. In this regard, the techno-economic assessment of smart grid technologies is a matter of interest, especially in the urge to develop more credible options for deep decarbonization pathways over the long term. This work presents a literature survey of existing simulation tools to assess the techno-economic benefits of smart grid technologies in integrated T&amp;D systems. We include the state-of-the-art tools and categorize them in their multiple aspects, cover smart grid technology, approach methods, and research topics, and include (or complete) the analysis with other dimensions (smart-grid related) of key interest for future power systems analysis such as environmental considerations, techno-economic aspects (social welfare), spatial scope, time resolution (granularity), and temporal scope, among others. We surveyed more than 40 publications, and 36 approaches were identified for the analysis of integrated T&amp;D systems. As a relatively new research area, there are various promising candidates to properly simulate integrated T&amp;D systems. Nevertheless, there is not yet a consensus on a specific framework that should be adopted by researchers in academia and industry. Moreover, as the power system is evolving rapidly towards a smart grid system, novel technologies and flexibility solutions are still under study to be integrated on a large scale. This review aims to offer new criteria for researchers in terms of smart-grid related dimensions and the state-of-the-art trending of simulation tools that holistically evaluate techno-economic aspects of the future power systems in an integrated T&amp;D systems environment. As an imperative research matter for future energy systems, this article seeks to contribute to the discussion of which pathway the scientific community should focus on for a successful shift towards decarbonized energy systems.

Pola Insurjensi Andi Azis sebagai Pemberontakan Militer dalam Pendekatan Model Keamanan Nasional

The Andi Azis incident gave an important meaning to the historical traces of the Indonesian military's struggle in eradicating the rebellion which was actually driven by its officers at that time. The incident that occurred in early April 1950 in Makassar, South Sulawesi was not only interpreted as a form of rebellion due to dissatisfaction with Jakarta's political policies in managing the formation of the state which at that time was still unstable but also as a social resistance of the regional army as the most effective representation of people's power in its time. Historical Research analysis which refers to the historical research methodology process in the form of Heuristics, Source Criticism, Interpretation, and Historiography in this article will try to juxtapose the theories of Insurgency and National Security so that the interesting dimensions of the Andi Azis incident bring new perspectives in the development of defense strategy studies and military philosophy. Andi Azis' rebellion movement can be a separate experience and lesson, especially for the Indonesian Armed Forces (Tni) in promoting a social approach and oneness with the community in addition to repressive measures in tackling similar movements, which are actually still happening in several regions in the archipelago.

Automotive Software Engineering: Real-World Necessity and Significance

The automobile industry is undergoing a fundamental shift as it transitions from a mechanical to a software-intensive business, in which most innovation and competition depend on software engineering expertise. This shift is occurring due to the industry's shift from a mechanical to an electronic focus. Over the past few decades, the significance of software engineering in the automobile industry has grown substantially. As a result, it has garnered a great deal of interest from academics and industry professionals. Even though a considerable amount of information concerning automotive software engineering has been published in various scholarly journals, there needs to be a comprehensive study of this information. This systematic mapping project aims to classify and analyze the literature linked to automotive software engineering to offer a structured body of knowledge, identify well-established themes, and uncover research gaps. This study considers 679 publications from various academic fields and subfields published between 1990 and 2015. The primary studies were dissected and categorized based on five distinct dimensions of interest. In addition, potential holes in the research, as well as suggestions for directions for further investigation, are offered. The literature mainly focused on three different areas: system and software architecture and design, qualification testing, and reuse. These were the issues that were discussed the most frequently. There were fewer comparative and validation studies, and the research body needs to contain practitioner-oriented suggestions. Overall, the research activity on automotive software engineering has a high industrial relevance, but its scientific quality is relatively lower.

Measuring Parent Rated Interest and Deprivation Type Curiosity in Swedish Young Children - Are they Meaningfully Distinct?

BackgroundProxy ratings of young children’s curiosity has the potential to be useful for research in Sweden. One such proxy rating is the parent-rating Interest/Deprivation Young Children scale. This scale has previously only been validated in Dutch samples, where it differentiated curiosity dimensions of interest (joyful exploration) and deprivation (reduction of aversive feelings of not knowing).ObjectiveThe objective of this study was to investigate internal and construct validity of the Swedish version of the Interest/Deprivation Young Children scale.MethodA translation of the Interest/Deprivation Young Children scale was conducted and then administered to 266 parents in Sweden, who rated their children (4-6-years old) on 10 items, with 5 items each for subscales of interest and deprivation dimensions of epistemic curiosity. Responses were analyzed using confirmatory factor analysis.ResultsResults indicate acceptable internal reliability for deprivation-curiosity items (α = 0.78) and for interest-curiosity items (α = 0.79). For the combined scale score alpha was found good (α = 0.84). However, confirmatory factor analysis failed to differentiate interest and deprivation dimensions of curiosity.ConclusionsItem revisions are suggested which could be implemented for further investigations. Also, the possibility of using the I/D-YC total score as a more general measure of child curiosity is argued for. An open question is how other dimensions of curiosity might be more viable for proxy ratings of child curiosity.

Self-Powered Active Sensing Based on Triboelectric Generators.

The demand for portable and wearable chemical or biosensors and their expeditious development in recent years has created a scientific challenge in terms of their continuous powering. As a result, mechanical energy harvesters such as piezoelectric and triboelectric generators (TEGs) have been explored recently either as sensors or harvesters to store charge in small, but long-life, energy-storage devices to power the sensors. The use of energy harvesters as sensors is particularly interesting, as with such multifunctional operations it is possible to reduce the number devices needed in a system, which also helps overcome the integration complexities. In this regard, TEGs are promising, particularly for energy autonomous chemical and biological sensors, as they can be developed with a wide variety of materials, and their mechanical energy to electricity conversion can be modulated by various analytes. This review focuses on this interesting dimension of TEGs and presents various self-powered active chemical and biological sensors. A brief discussion about the development of TEG-based physical, magnetic, and optical sensors is also included. The influence of environmental factors, various figures of merit, and the significance of TEG design are explained in context with the active sensing. Finally, the key applications, challenges, and future perspective of chemical and biological detection via TEGs are discussed with a view to drive further advances in the field of self-powered sensors.