Usable Responses Research Articles

Development of Learning Models Computer and Network Engineering Expertise Concentration Based on Flipped - blended Learning

The objectives of this research are: (1) analyzing the need for learning models; (2) designing learning tools; (3) analyzing the effectiveness of the learning model. The research method used is the development research method or Research and Development. The process of developing this learning model refers to the ADDIE development model which includes: (1) Analysis: performance analysis and needs analysis; (2) the design stage composes teaching modules, model books, LMS designs, and manual books. Preparation of research products and tools based on literature reviews that have been carried out by researchers; (3) Development through individual trials and small group trials. Then produce a product prototype (4) Implementation conduct field tests at YPPP Wonomulyo Vocational School by implementing a learning model prototype, and collecting user responses to the learning model applied; (5) Evaluation in the form of a review of research products and tools. The research results showed that at the small group testing stage and user responses were in the very good category. The learning model for concentrating computer and network engineering skills based on flipped-blended learning is effective based on observer assessments and user responses. Therefore, it is recommended that the learning model for concentrating computer and network engineering skills based on flipped-blended learning can be used as a reference for managing learning that is fun, makes things easier, increases motivation and optimizes student learning outcomes.

The mental health and well-being implications of a mesothelioma diagnosis: A mixed methods study

PurposeMesothelioma is an incurable, asbestos-related cancer with a poor prognosis. There is scant evidence about the mental health and well-being impacts on patients and carers living with the illness. This study aimed to investigate mesothelioma's impact on mental health and well-being and the scale of mental health conditions in patients and informal carers. MethodsA mixed-methods design was used: a cross-sectional survey of mesothelioma patients and informal carers plus semi-structured interviews with patients and carers. The survey used validated scales collecting data on mental health aspects of mesothelioma: the EQ5D to assess health-related quality-of-life; the Hospital Anxiety and Depression scale; the PCL-5 to assess Posttraumatic Stress; and the Posttraumatic Growth Inventory. The datasets were integrated during analysis. Results96 useable survey responses were received. A clinical level of depression was reported by 29 participants (30.21%), of anxiety by 48 (50%), of posttraumatic distress disorder by 32 (33.33%), and of posttraumatic growth by 34 (35.42%). Carers had worse scores than patients. Three main themes were developed from interviews with 10 patients and 11 carers: ‘Prognosis’, ‘Support from services’, and ‘Social connections and communication’. ConclusionsHealthcare professionals delivering a mesothelioma diagnosis require regular training in communication skills plus updating in current treatment options, so they provide an appropriate mix of realism and hope. Better signposting to mental health support is needed for patients and carers. Our introduction of posttraumatic growth into the mesothelioma literature is novel. We recommend specialist nurses are trained to recognise, understand, and foster posttraumatic growth.

You have interrupted me again!: making voice assistants more dementia-friendly with incremental clarification.

In spontaneous conversation, speakers seldom have a full plan of what they are going to say in advance: they need to conceptualise and plan incrementally as they articulate each word in turn. This often leads to long pauses mid-utterance. Listeners either wait out the pause, offer a possible completion, or respond with an incremental clarification request (iCR), intended to recover the rest of the truncated turn. The ability to generate iCRs in response to pauses is therefore important in building natural and robust everyday voice assistants (EVA) such as Amazon Alexa. This becomes crucial with people with dementia (PwDs) as a target user group since they are known to pause longer and more frequently, with current state-of-the-art EVAs interrupting them prematurely, leading to frustration and breakdown of the interaction. In this article, we first use two existing corpora of truncated utterances to establish the generation of clarification requests as an effective strategy for recovering from interruptions. We then proceed to report on, analyse, and release SLUICE-CR: a new corpus of 3,000 crowdsourced, human-produced iCRs, the first of its kind. We use this corpus to probe the incremental processing capability of a number of state-of-the-art large language models (LLMs) by evaluating (1) the quality of the model's generated iCRs in response to incomplete questions and (2) the ability of the said LLMs to respond correctly after the users response to the generated iCR. For (1), our experiments show that the ability to generate contextually appropriate iCRs only emerges at larger LLM sizes and only when prompted with example iCRs from our corpus. For (2), our results are in line with (1), that is, that larger LLMs interpret incremental clarificational exchanges more effectively. Overall, our results indicate that autoregressive language models (LMs) are, in principle, able to both understand and generate language incrementally and that LLMs can be configured to handle speech phenomena more commonly produced by PwDs, mitigating frustration with today's EVAs by improving their accessibility.

The Evaluation of using Learning Videos for High School Mathematics Curriculum Subjects with Flipped Classroom Models on Learning Achievement in the IVET University Semarang

This research deals with the development of learning video media for high school mathematics curricula using the ADDIE stage model. This model, as the name implies, consists of five main phases or stages, namely (A) analysis, (D) design, (D) development, (I) implementation, and (E) evaluation. The implementation and evaluation phase was carried out in this second year, with an expanded test carried out in the mathematics education study program at IVET University Semarang in a fun and enjoyable way, with a posttest and a user response questionnaire with the following results: Based on research at IVET University Semarang, the results of the posttest were processed using The t-test obtained a result of 0% < 5%, then H0 was rejected. This means that we accept H1, which means that the results of learning mathematics with learning video media for high school mathematics curricula are better than conventional learning models, looking at the average learning achievement in the mean column, the group statistics table, it is obtained that the average of the experimental class was 85.50 while the average of the control class was 70.42. These results show that the learning outcomes of the experimental class were better than those of the control class. R Square value is 0.825 = 82.5%. This value means that the effect of virtual lab media on learning achievement is 82.5%. In comparison, 17.5% of learning achievement was influenced by other variables outside of the independent variables in this study.
 Keywords: the evaluation, learning videos, high school mathematics curriculum; flipped classroom models

Development of Short Story and Popular Text Writing Evaluation Tool Via Quizizz Application

In the pursuit of enhancing creative writing proficiency, the challenge students face in crafting short and popular stories within a contextual framework is a prevalent issue. This study addresses this concern by developing an evaluation tool utilizing the Quizizz application to assess students’ skills in this particular aspect of writing. Thirty-five participants from the Indonesian Language and Literature Education program engaged in surveys and semi-structured interviews, revealing the effectiveness of the evaluation tool in helping students identify their potential levels. Guided by the 4D development model, the study incorporated material and evaluation expert assessments, item analysis, and user response questionnaires. Employing a rating scale and Kuder-Richardson for item analysis, the research selected 30 questions that ensured differentiation, difficulty level, validation, and reliability, with a high-reliability coefficient of 0.727. The overall assessment, considering material and evaluation experts, as well as student and lecturer responses, indicated a high level of approval for the quiz application’s feasibility in evaluating learning outcomes. This research highlights the significance of innovative tools in assessing and improving creative writing skills, offering valuable insights for educators seeking effective approaches to enhance students’ narrative abilities within constrained contexts. It emphasizes the importance of such innovative assessment tools to empower students in writing short stories and popular texts.

Determinants of Malaysian Urban Consumers’ Purchase Intention toward Ready-to-eat Food

Ready-to-eat food (RTE) refers to meals or food prepared or cooked in advance, with no further cooking or preparation required before being eaten. This study examines the factors influencing the consumers' purchase intention towards RTE food: price, quality, convenience, and packaging. An online survey among Kuala Lumpur residents generated 180 usable responses. The results of multiple regression indicated that respondents' buying intention toward RTE was significantly determined by convenience and price factors. Product quality and packaging have no significance influence on purchase intention. Managerially, focusing on RTE's convenience and strategic promotion could enhance the urban consumers' buying intention of RTE

Multiparty conversation via multirobot system: incorporation of nonverbal user responses for continued conversation

Recent years have seen the advent of conversational humanoid robots. Implementing multiple robots is a promising approach for continuing human–robot conversations when a robot encounters speech-recognition errors. This strategy is effective for the user's verbal responses; however, people generally use nonverbal responses, such as nods or smiles, to respond to the interlocutor. In this study, we proposed a conversational strategy for twin robots in which the second robot recognized a human's nonverbal responses and interrupted the conversation by mentioning these responses. Moreover, we developed an interrogative dialogue system using simple nonverbal recognition modules. To verify the effectiveness of this conversational strategy, a subject-based experiment was conducted in which humans conversed with the two robots, and their impressions were evaluated through a questionnaire. We compared the outcomes under two conditions: whether the second robot's interruption was inserted or otherwise. Our results indicate that language-only ineffectiveness in responding to ambiguous responses regarding satisfaction and comprehension was mitigated. Thus, such a dialogue system is advantageous because it can facilitate robust conversation without relying solely on speech recognition.

Development of Electronic Modules Based on Blended Learning Flipped Classroom in Arabic Language Subject Class X Nuraida Islamic Boarding School Bogor

Learning outcomes in Arabic language subjects in secondary schools are still low, so effective teaching materials are needed to improve Arabic language learning outcomes. The study aims to develop and test the feasibility and effectiveness of developing electronic modules based on blended learning flipped classroom in class X Arabic subjects at Nuraida Islamic Boarding School Bogor. The study uses a development model Borg and Gall which is integrated with the Rowntree model. To test the feasibility of the researcher using validation from media experts, design experts and material experts and also considering the results of user responses from teachers and students. From the results of the feasibility test carried out by material experts at 81.33%, instructional design/media experts at 90%, teacher users at 90% and student users at 95%. Overall, the category was "very feasible". The results of the pretest and posttest data analysis show that the average pretest score of students is 52 and the average posttest score of students is 90, while the maximum average score is 70. Based on effectiveness testing using the N-Gain Score formula, a result of 0.8 was obtained in the high category or a percentage of 90. Per the conversion of the achievement level of the N-Gain score review results with a value of >76 which is categorized as effective. This means that the e-module developed is effective in improving student learning outcomes in Arabic language subjects. So, it can be concluded that the electronic module based on the blended learning flipped classroom in Arabic subjects that was developed is feasible and effective to use.

The structure of principal-teacher conversation: Why it matters for school leadership

PurposeThis study addressed a relatively understudied process of school leadership: the principal-teacher conversation about instructional change. Two distinct conversation structures were examined: controlling conversation and transformative leadership conversation (TLC). Self-determination theory (SDT) was used to make the case that TLC is a better fit for instructional change than controlling conversation. Hypotheses were developed on the relationship between principal-teacher conversation and teacher trust in the principal, teacher autonomy and teacher vitality. These mental states were identified for empirical testing because of their influence on change processes.Design/methodology/approachThe empirical study used a correlational research design with survey data. The data came from a random sample of 2,500 teachers from the population of certified teachers in a southwestern state in the USA. Useable survey responses were obtained from 1,615 teachers, for a response rate of 65 percent. Teachers in the sample averaged 15 years of teaching experience, with 7 years in their current school. Around 81% of teachers identified as female and 18 percent as male and 79% of teachers listed a racial identification as white. Hypotheses were tested in a path model using AMOS 28.0 with robust maximum likelihood (MLR).FindingsAs hypothesized, TLC had moderate to strong positive relationships with teacher trust in the principal, teacher autonomy and teacher vitality. Controlling conversation had small, negative relationships with teacher trust in the principal and teacher autonomy. Controlling conversation was not related to teacher vitality in the path analysis. Compared with controlling conversation, TLC had stronger relationships with teacher mental states.Originality/valueThe results of this study begin to reveal useful evidence on the inherent social-psychological mechanisms active in principal-teacher conversations. With results indicating that conversation structure has consequences for positive teacher mental states, the study directs attention to a ubiquitous yet understudied leadership process.

Psychometric properties and factor structure of the suicidal narrative inventory in major depression: A multicentric evaluation

BackgroundThe Suicidal Narrative Inventory (SNI) is a 38-item self-report measure developed to assess elements of the suicidal narrative, a subacute, predominantly cognitive, presuicidal construct. Our objectives were to assess the factor structure, validity, and reliability of the SNI-38 among adults with major depressive disorder (MDD). MethodsUsing a cross-sectional design, we administered the Hindi version of the SNI along with other self-report measures to adults with MDD, recruited from 24 tertiary care hospitals across India. Confirmatory factor analysis (CFA) was performed to assess the factor structure of SNI-38. Reliability (internal consistency) was assessed using Cronbach's alpha (α). Convergent, discriminant, and criterion validity of the SNI-38 were tested by comparing it against other appropriate measures. ResultsWe collected usable responses from 654 Hindi-speaking participants (Mean age = 36.9 ± 11.9 years, 50.2% female). The eight-factor solution of the SNI showed good model fit indices (χ2[637] = 3345.58, p <.001, CFI =.98, and RMSEA =.08). Internal consistencies for the SNI subscale scores were good to excellent, α ranging from .73 to.92. While most subscales significantly converged with other measures, associations were comparatively weaker and inconsistent for the ‘thwarted belongingness’ and ‘goal reengagement’ subscales. ConclusionConsistent with prior data, our study confirmed an eight-factor solution and demonstrated adequate psychometric properties for the Hindi version of the SNI-38 in our sample. These findings provide empirical support for the use of SNI to assess the suicidal narrative among Indian adults with MDD.

Contribution of the veterinary profession to the Australian animal health surveillance system and opportunities for future contributions

Animal health surveillance is crucial for early detection of emergency animal diseases and effective responses. However, surveillance systems are complex and rely on the contributions of many animal health stakeholders. Veterinarians are key stakeholders in this system, given their role and skills in investigating, diagnosing, and reporting notifiable diseases. This study investigated the contribution of the veterinary workforce to the Australian animal health surveillance system and opportunities for future involvement. To achieve the aims of the study, an online cross-sectional survey among the veterinary profession was conducted. Descriptive statistics and regression analyses were used to provide an overview and investigate drivers of attitudes and practices of veterinarians in relation to animal health surveillance. A total of 311 usable responses were obtained, with 191 being from veterinarians who worked in private practice in the previous 12 months. Among private practitioners, 58.6% worked with companion animals, 34.0% were mixed practice veterinarians and 7.3% were equine veterinarians. Over half (56.6%) of all participants considered themselves active participants in the local animal disease management system. The level of confidence in understanding the reporting system and knowing and identifying signs of endemic and exotic diseases was moderate among those working in private practice, with companion animal veterinarians reporting the lowest levels of confidence (p < 0.05). Approximately 40% of veterinarians had taken samples for diagnosis for notifiable diseases in the last year, with just over 20% reporting a notifiable disease. Awareness of and participation in training and surveillance programs for animal diseases by veterinarians was low, with those working in private practice having lower levels of both awareness and participation for most programs. In relation to potential future contribution to the surveillance system, over half of participants reported being interested and available to undertake surveillance work on behalf of the government, with those in mixed practice reporting higher levels of interest (69.6%) compared to those in companion (49.5%) and equine practice (30.8%). However, key challenges identified were related to perceived conflict of interest, and tensions between client needs and government agenda, followed by profitability and suitability of the business. This study provides evidence of a significant existing contribution by the veterinary profession to the surveillance system, and the capacity and willingness to increase this contribution. However, there are gaps in awareness, confidence and participation, as well as financial and veterinary-client relationship challenges that should be considered in any future planning to strengthen the Australian surveillance system.

“Nothing will stop the sluts now”: Analysing women's support for image-based abuse websites on social media

The abrupt closure of a popular website which hosted image-based abuse in April 2012 triggered a robust social media response. Most posts on Twitter expressed a positive opinion about Is Anyone Up? ( IAU) and its “revenge porn” business model. These tweets were not just posted by men, with around one-third of the 2,967 tweets about the website on the day of its closure linked to the profiles of women. This article assesses the 1,030 tweets posted about IAU by identifiably female accounts in the 12 hours after the website shutdown. It assesses the levels of support for image-based abuse among women and compares the nature of this support with responses of Twitter users who are identifiably male, or those whose gender could not be determined. It considers factors such as the impact of online disinhibition on the prevalence of online mockery, especially within pre-existing misogynistic frames observable on social media. It also discusses the perception among women that image-based abuse served as an informal control on sending “nudes” and, on that point, how women were divided as to whether the closure of the site should be treated as a positive or negative development.

Effects of narratives and information valence in digital headlines on user responses

ABSTRACT The way headlines are framed and presented can influence how audiences respond, even when the substance of the headline remains the same. This study scraped big data of digital headlines and associated user response metrics from three leading video-and-news-sharing platforms in China, and then conducted a comprehensive quantitative content analysis. Through path analysis, significant main and interaction effects were discovered, highlighting the role of narrative (as opposed to numerical) evidence and the negative affect inherent in headlines on viewing. Furthermore, viewing mediated the effects of narratives and information valence on deep responses, such as liking, sharing, and commenting. The study also revealed that information valence moderated the mediating effects of viewing on the relationships between narrative and deep responses. These effects remained significant even after controlling for headline word length, source influence, and discrepancies between publication and scraping dates. Based on these findings, a new concept, the ‘Negative Narrative Effect' (NNE), is introduced, and the implications for data journalism are discussed.

Analysis of multi-objective cooperative optimization strategy for residential load under extreme weather

In recent years, the problem of seasonal power supply shortages in extreme weather has frequently occurred across China, which has brought great inconvenience to people’s production and life. At the same time, with the advancement of the energy revolution, the proportion of electric energy in the terminal energy is increasing, which also poses a severe challenge to China’s energy security. Our research, by constructing a residential electricity consumption model and conducting multiple electricity price response experiments, has collected data that assesses various factors involved in user responses. It has also explored and inferred the impact of these factors on user-side responses. This study introduces new research directions aimed at alleviating electricity supply-demand imbalances during different periods, contributing to the optimization and enhancement of the national power system.

Exploring the National Hockey League’s Reverse Retro Campaign: Response to Pseudo-Nostalgia in Uniform Design

Abstract: This study explores the use of pseudo-nostalgic designs in sport marketing, examining consumer response to the National Hockey League’s 2020–2021 Reverse Retro uniform campaign. By investigating user response to the twelve teams’ Reverse Retro sweater release and promotion on Twitter, the study endeavors to explore the extent to which pseudo-nostalgic designs elicit nostalgic sentiment and the degree to which such nostalgia may impact upon individuals’ perceptions of uniform designs. Th e findings of the research suggest that while pseudo-nostalgic uniforms can inspire feelings of nostalgia, the symbolic connections manifested within sporting uniforms are cocreated between teams and fans and the inclusion of nostalgic cues should be reflective of fans’ own sense of nostalgia, not imposed upon them by such designs.

System Thinking in Gamification

People spend a lot of time and energy playing videogames (Kapp in The gamification of learning and instruction: game-based methods and strategies for training and education. Pfeiffer an imprint of Wiley, San Francisco, 2012), and as a result, gamification has grown from a buzzword into a discipline. Since 2012, the authors have experimented with system thinking as a methodology for developing gamification and will present examples in this article. The primary objectives are to study how system thinking can be used to understand, design, develop and document gamifications, and how psychology and pedagogics can be integrated in the process to enhance the learning. This is an observational case study that gives examples of how students (i) use system thinking to understand and clarify the gamification case using system analysis and (ii) use system dynamics to simulate cases and predict user responses. Students begin system analysis once the gamification idea is developed and their goals and the case parameters are established, and it includes making casual loop diagrams, flow charts, and reference behavior patterns. Students then find and experiment with numerical data for the case and use system dynamics to simulate the gamification and predict the user results. The pedagogy is problem based and grounded in traditional problem-based learning and situated learning. This article shows how system thinking allows students and professionals to develop a deeper and more tangible understanding of the research materials and presumptions they have when engaging in any given gamification scenario. System thinking also provides tools to test research material and hypotheses in a more structured, manageable, and palpable way. Although we have discovered several ways system thinking can benefit gamification design, the research has also revealed new areas where system thinking could be explored further.

Does user-generated content trigger university graduates’ online purchase intention? Mediating role of brand image

Academic interest in understanding the impact of user-generated content (UGC) on consumer behavior in digital marketing has grown exponentially. However, we know little about the effect of UGC on customers’ online purchase intention from developing country aspects. This underpins the current study to examine the impact of UGC on the purchase intentions of university graduates in Bangladesh. With a convenient sampling approach, a structured questionnaire was provided directly to 400 respondents; 275 usable and complete responses were extracted for data analysis. Data were empirically validated using principal component analysis, reliability test, correlation, and Hayes PROCESS macro for regression and simple mediation analysis. The findings revealed that bloggers’ recommendations, online communities, and social media content positively and significantly influence customers’ online purchase intention. Brand image also directly impacts purchase intention and mediates the relationship between bloggers’ recommendations, online community, social media content, and online purchase intention. The results of this study will facilitate policymakers and online marketers in devising UGC management policies and digital marketing strategies. The study’s results may also help online marketers, sellers, and brand representatives to understand how to enhance brand image and amplify customers’ online purchasing behavior.

SME’s export intensity: enhancers, inhibitors and firm characteristics

This study aims to investigate the factors explaining the variation in SMEs’ degree of internationalization, measured by export intensity (i.e. the share of export revenue in total revenue). Primary data were collected through survey administered using questionnaire in seven provinces in Indonesia, yielding 497 usable responses. Principal component analysis was used to solve dimensionality issues of perceptual variables while Generalized Linear Model (fractional logit regression) and the Ordinary Least Square regression were used in the estimation. The findings show that SMEs’ export expansion is positively affected by firm characteristics namely firm age and total employees, as well as some exhibiting factors namely owners’ international work experience, central government assistance, network relationships with non-government actors, location, export market of choices and years of exporting. By contrast, SMEs’ export continuation is adversely affected by perceived difficulties in overcoming informational and human resources barriers, distribution, logistics and promotional barriers, financial barriers, foreign government barriers, procedural barriers and price barriers. The findings suggest that post-export assistance is as important as creating new exporters. Further, the findings provide insights on specific types of assistances required by exporting SMEs to exploit their export-exhibiting factors while also overcoming the export-inhibiting factors.

MedicoTreat

MedicoTreat stands as an innovative health companion, bridging the gap between personalized disease detection, essential healthcare services, and specialized guidance for expectant mothers. This research paper delves into the multifaceted features of MedicoTreat, a platform designed to empower individuals with accurate disease detection, personalized disease prediction, and precautionary measures based on symptoms. Central to its mission is the support extended to pregnant women, offering tailored guides to navigate the intricacies of pregnancy. The platform provides expert advice, highlighting priorities and precautions during this critical period. Moreover, MedicoTreat integrates a comprehensive section dedicated to government health policies, ensuring individuals are informed and connected to available support systems. Through an analysis of user response and feedback, this paper evaluates the platform's impact, focusing on specific features lauded by users. The integration of ambulance assistance, doctor appointments, and personalized disease prediction tools has shown significant resonance among users seeking timely healthcare interventions. The research also explores the implications of MedicoTreat's user-centric approach, discussing its role in empowering individuals with knowledge and facilitating seamless access to essential healthcare services. The paper concludes by emphasizing the platform's contributions to promoting proactive healthcare practices and fostering a healthier community, especially for expectant mothers. Key words: MedicoTreat, Healthcare Access, Disease Detection, Pregnancy Guidance, User-centric Approach, Healthcare Empowerment

Perceived Social Media Influencers’ Reputation of a Beauty Cosmetics Company: A Perspective of Customers

In the digital age, social media influencers (SMI) have become a pivotal promotional strategy to persuade and influence consumers. However, many of the previous studies only focused on the characteristics and traits of the influencers, but lack of studies was examined on the reputation aspect of the influencer. Thus, this study aims to examine the consumers’ perception of SMI’s reputation of a beauty company, which comprised of Communication Skills, Influence, Authenticity, and Expert. The study applied a quantitative design through a survey method to solicit 190 usable responses via purposive sampling. The findings demonstrated that the four dimensions of SMI’s reputation are positively perceived by the respondents, where the Expert dimension was highly perceived by the consumers of the beauty company, followed by Influence, Communication Skills, and Authenticity. Thus, the beauty brand and marketing managers should examine the qualities and reputation of the SMIs before allowing them to endorse or promote the products, to ensure they have favorable images in the public eye. Conclusion, implications, and future research were discussed.