Interaction Strategies Research Articles

The Comparative Study of Narrative Comprehension in Children according to Interactive Reading Strategies with Adults

Objectives: The purpose of this study was to investigate the effect of adult’s three reading strategies, eliciting questions, non-eliciting questions, and comments, on the narrative comprehension of typically developing children (TD) compared to vocabulary delayed children (VD) in order to find out the most effective reading strategy for children’s narrative comprehension. Methods: A total of 39 TD and 14 VD children aged 4-to 6-years old were randomly placed in groups using one of three reading strategies and then given two types of narrative comprehension tasks (literal comprehension, inferential comprehension) after a storybook reading session. Results: First, for literal comprehension, the main effects were found to be statistically significant in both the VD and TD children’s groups and reading strategies. And the interaction of reading strategies between child groups was found to be statistically significant. For the literal comprehension task, eliciting questions were found to be the most effective reading strategy for TD children, whereas non-eliciting was found to be the most effective for VD children. Secondly, for the inferential comprehension task, neither the main effect nor the interaction of the reading strategies between child groups was found to be statistically significant. Conclusion: The results suggest that the three reading strategies are effective in literal comprehension in both child groups. Among three strategies, eliciting questions will be the most helpful for TD children, while non-eliciting questions will be the most helpful for VD children. The study can further provide essential information for developing book reading intervention protocols that can enhance children’s narrative comprehension.

The formation of students’ flexible communication skills in teaching а foreign language for professional purposes

The study is devoted to the problem of forming flexible communication skills of higher education students in teaching a foreign language for professional purposes. Based on the thorough review of scientific publications, the authors prove that in the conditions of the modern labor market, communicative flexibility and adaptability of specialists are the keys to their competitiveness. The article provides a theoretical analysis of “flexible communication skills” and emphasizes the structural components necessary for professional foreign language communication. The authors highlight that teaching a foreign language for professional purposes has its peculiarities related to the specific needs and requirements of professional activity (specific aspects of language material; a clear focus on the development of practical business communication skills that will help future specialists to communicate effectively with colleagues, clients, and partners in a professional environment; taking into account the possibilities of forming intercultural competence of future specialists, which will contribute to a better understanding of representatives of different cultures and establishing network. Based on the survey results, the authors outline the main difficulties in developing the communicative flexibility of future specialists, including studying specialized vocabulary, adapting theoretical knowledge to practical situations, acquiring mutual understanding in an intercultural environment, and overcoming psychological barriers. The study scientifically substantiates effective methods and structured interactive strategies based on the practical application of the language, derivation of terms, and performance of conditional speech tasks that allow for achieving successful results and unlocking students’ potential in learning a foreign language and interacting with native speakers in a professional environment. The article emphasizes promising directions for further scientific research, namely the use of artificial intelligence capabilities and effective methods of assessing flexible communication skills in ESP classes.

The Impact of eLearning on Self-Directed Learning and Critical Thinking Ability Development of Students’

The advent of eLearning has transformed traditional educational paradigms, offering new opportunities for Self-Directed Learning and the development of critical thinking abilities among students. This research paper explores the impact of eLearning on these educational outcomes. It investigates how eLearning environments support Self-Directed Learning (SDL) by providing flexible, accessible, and personalized learning experiences. Additionally, it examines the role of eLearning in fostering critical thinking skills through interactive, problem-based, and collaborative learning strategies. The findings are based on a review of existing literature and an analysis of primary data collected from students and educators. The study concludes that eLearning significantly enhances both SDL and critical thinking, though challenges such as digital literacy and access disparities must be addressed to maximize these benefits.

Mitigating Lecturers’ Communication Uncertainty in Using SWVC During Online Lectures

This study investigates at the communication uncertainty undergraduate lecturers face when delivering lectures through synchronous web video conferencing (SWVC) during online lectures. Uncertainty Reduction Theory (URT) is employed to understand how lecturers use communication techniques to reduce uncertainty in online lecture. Undergraduate lecturers at Universitas Muhammadiyah Surakarta who have ever conducted teaching online were interviewed in semi-structured interviews. Thematic analysis is performed, with a particular focus on the methods that lecturers use to communicate with their students in order to build relationships and reduce uncertainty. The study identifies a number of important areas of uncertainty, such as technical challenges, the development of useful learning materials, evaluation of comprehension, student involvement, and conduct during online sessions. This study shows how lecturers use active, passive, and interactive strategy to reduce uncertainty. These results underline how crucial it is to deal with technology challenges, advance interactive teaching strategies, raise student participation, and establish effective communication in order to guarantee successful online education in the face of uncertainty.

Perceived efficacy of case analysis as an assessment method for clinical competencies in nursing education: a mixed methods study

BackgroundCase analysis is a dynamic and interactive teaching and learning strategy that improves critical thinking and problem-solving skills. However, there is limited evidence about its efficacy as an assessment strategy in nursing education.ObjectivesThis study aimed to explore nursing students’ perceived efficacy of case analysis as an assessment method for clinical competencies in nursing education.MethodsThis study used a mixed methods design. Students filled out a 13-item study-advised questionnaire, and qualitative data from the four focus groups was collected. The setting of the study was the College of Nursing at Sultan Qaboos University, Oman. Descriptive and independent t-test analysis was used for the quantitative data, and the framework analysis method was used for the qualitative data.ResultsThe descriptive analysis of 67 participants showed that the mean value of the perceived efficacy of case analysis as an assessment method was 3.20 (SD = 0.53), demonstrating an 80% agreement rate. Further analysis indicated that 78.5% of the students concurred with the acceptability of case analysis as an assessment method (mean = 3.14, SD = 0.58), and 80.3% assented its association with clinical competencies as reflected by knowledge and cognitive skills (m = 3.21, SD = 0.60). No significant difference in the perceived efficacy between students with lower and higher GPAs (t [61] = 0.05, p > 0.05) was identified Three qualitative findings were discerned: case analysis is a preferred assessment method for students when compared to MCQs, case analysis assesses students’ knowledge, and case analysis assesses students’ cognitive skills.ConclusionsThis study adds a potential for the case analysis to be acceptable and relevant to the clinical competencies when used as an assessment method. Future research is needed to validate the effectiveness of case analysis exams in other nursing clinical courses and examine their effects on academic and clinical performance.

Effects of Social Support on Academic Resilience of Undergraduate Students

The current study aims at investigating the effect of social support on the academic resilience of undergraduate students. Students experience multiple academic challenges due to their transition to higher education. These challenges pave way for social support to significantly reduce stressful academic experiences to foster persistence among the learners. The support experiences by students focuses on informational support, esteem support, motivational support, and venting support. These support experiences facilitate students in resolving academic issues while preparing for their assignments, quizzes and exams. The current research used causal comparative research to study the above-mentioned constructs. The multistage stratified sampling technique was used to draw the sample (n=600) of undergraduate students from Allama Iqbal Open University (AIOU). The findings of the study revealed that social support significantly influence academic resilience (p= .000) and its sub constructs perseverance (p= .000), reflective and adaptive-help seeking (p= .000), and negative affect and emotional response (p= .000). Furthermore, esteem support, motivational support, and venting support significantly influence academic resilience (p= .000) of students. It can be concluded that students experience high levels of social support in sorting their academic problems and receiving emotional assistance. It can be further suggested that interactive learning strategies should be adopted for thorough understanding of concepts and ensuring hands-on experiences for students to instill soft/digital skills.

Infrared and visible image fusion and detection based on interactive training strategy and feature filter extraction module

The infrared and visible image fusion-detection technique aims to expand the observation wavelength range to overcome harsh environmental conditions such as low light, smoke, heavy fog, etc., and improve the reliability and robustness of target detection. However, the current fusion-detection method suffers from problems of the joint optimization of the fusion-detection model and irrelevant feature interference. To address these problems, we propose an infrared and visible image fusion-detection network based on an interactive training strategy (ITS) and a feature filter extraction module (FFEM). The ITS constructs the closed-loop optimization for the fusion-detection method, which can mutually enhance the performance of the fusion and detection model through mutual supervision. The FFEM is designed to acquire detection-conducive features from visible and infrared images. Specifically, we define filtering weights based on the covariance values of features and use these weights to enhance relevant features and soft redundant and irrelevant features (e.g., noise). Quantitative and qualitative experimental results demonstrate that the proposed method achieves competitive performance in target detection accuracy compared with other state-of-the-art fusion-detection methods.

Using Metaphors To Reduce The Uncertainty In Play Therapy Room

This article aims to describe how the strategy of reducing uncertainty occurs in the play therapy room. As a method in psychotherapy, a play and creative arts therapist must be able to establish a good relationship with the client so that the client feels safe and comfortable during the therapy process. To establish a safe and comfortable relationship, a process of reducing uncertainty is needed between the therapist and client when communicating in the therapy room. Berger and Calabrese consider that reducing uncertainty will result in self-disclosure which can strengthen the source-receiver relationship in the communication process. After conducting observation in Client ANA’s case for 24 sessions, it is found that in play therapy, the reduction of uncertainty occurred uniquely by using various metaphors chosen by the client independently. In ANA's case, the uncertainty reduction strategy started with an active strategy, followed by simultaneous use of passive and interactive strategies.

The Feasibility of Coordinating International Monetary Policy Strategies in the Context of Asymmetric Demand Shocks

In the context of the increasing interdependence of countries due to the development of international trade, a relevant question arises as to whether it is necessary to conduct independent monetary policies for each country or whether it is advisable to coordinate these policies. This question becomes a key in the debate on optimal monetary policy strategies in open economies. The aim of this study is to analyze the impact of asymmetric aggregate demand shocks on the appropriateness of monetary policy coordination in a simple stochastic model of two interacting countries. The analysis of equilibrium states of the monetary authorities’ interaction strategies under study was carried out analytically by minimizing the loss function and solving one-period static optimization problems. The equilibrium states of macroeconomics of interacting countries under coordination of monetary policy and in cases of lack of coordination (Nash and Stackelberg equilibrium) in the presence of asymmetric, serially uncorrelated demand shocks have been analyzed. It is proven that the response of inflation to asymmetric demand shocks is smaller in the case of coordinated policy than in the case of non-cooperative policy. The loss function analysis shows that the compensation of demand shocks is found to be more costly in Nash equilibrium than in the case of monetary authority coordination policy. The analysis of the monetary authorities’ interaction strategies showed that the real exchange rate plays an important role in balancing supply and demand in the two economies.

A Deep Learning-Based Method for Preventing Data Leakage in Electric Power Industrial Internet of Things Business Data Interactions.

In the development of the Power Industry Internet of Things, the security of data interaction has always been an important challenge. In the power-based blockchain Industrial Internet of Things, node data interaction involves a large amount of sensitive data. In the current anti-leakage strategy for power business data interaction, regular expressions are used to identify sensitive data for matching. This approach is only suitable for simple structured data. For the processing of unstructured data, there is a lack of practical matching strategies. Therefore, this paper proposes a deep learning-based anti-leakage method for power business data interaction, aiming to ensure the security of power business data interaction between the State Grid business platform and third-party platforms. This method combines named entity recognition technologies and comprehensively uses regular expressions and the DeBERTa (Decoding-enhanced BERT with disentangled attention)-BiLSTM (Bidirectional Long Short-Term Memory)-CRF (Conditional Random Field) model. This method is based on the DeBERTa (Decoding-enhanced BERT with disentangled attention) model for pre-training feature extraction. It extracts sequence context semantic features through the BiLSTM, and finally obtains the global optimal through the CRF layer tag sequence. Sensitive data matching is performed on interactive structured and unstructured data to identify privacy-sensitive information in the power business. The experimental results show that the F1 score of the proposed method in this paper for identifying sensitive data entities using the CLUENER 2020 dataset reaches 81.26%, which can effectively prevent the risk of power business data leakage and provide innovative solutions for the power industry to ensure data security.

Значение китайско-российского стратегического сотрудничества для развития многостороннего взаимодействия в рамках ШОС и БРИКС

In the context of global changes, the deepening of multilateral strategic cooperation between Russia and China has become an important area of demonstrating the universal value and fundamental importance of comprehensive cooperation between countries in a new era. The challenges of our time associated with protracted regional conflicts, changing paradigms of international communication, management dilemmas, a lack of strategic mutual trust, and changes in the perception of the role of each country necessitate joint efforts by states to mitigate them. It is emphasized that the SCO and BRICS mechanisms can be used for this purpose, with some adjustments. On the one hand, it is important to harmonize the management focus and functional boundaries of the SCO, to use the complementary strengths and innovative potential of the countries in the activities of the association. On the other hand, it is necessary to enhance the environmental sustainability of states and the strength of their cooperation within BRICS, to standardize the various requirements of participants and ensure the merger of their interests, to explore opportunities for cooperation based on the Sino-Russian experience and use them to develop a strategy of multilateral interaction aimed at conducting constructive reforms and establishing a multipolar international order on an equitable basis.

Enhanced Interface Charge Carrier Transport of SnO2/CeO2 via Oxygen Vacancy Synergized Heterojunction for Triethylamine Sensing Property.

Efficient charge carrier transport characteristics are critical to achieving the excellent performance of metal-oxide semiconductor gas sensors. Herein, SnO2/CeO2 heterojunction layered nanosheets with abundant oxygen vacancies were successfully synthesized through a simple solvothermal assisted high-temperature calcination method. The synergistic effect of oxygen vacancies and heterojunctions promoting the charge carrier transport properties at the SnO2/CeO2 interface for the enhanced sensing properties of triethylamine (TEA) was highlighted. As a result, the optimized SnO2/CeO2 exhibits improved gas sensing performance at 173 °C to 50 ppm of TEA. These include high response (205), excellent selectivity, low detection limit, and good long-term stability. This enhanced gas sensing property of SnO2/CeO2 is mainly attributed to the fact that the heterojunction and oxygen vacancies act as dual active sites synergistically inducing electron transfer, thereby effectively modulating the transport properties of the interfacial charge carriers, and thus facilitate the surface reactions efficiently. In this work, the dual-engineering strategy of synergistic interaction of heterojunction and oxygen vacancies can provide new perspectives for the design of advanced gas sensing materials.

Chemically Programmed Hydrogels for Spatiotemporal Modulation of the Cardiac Pathological Microenvironment.

After myocardial infarction (MI), sustained ischemic events induce pathological microenvironments characterized by ischemia-hypoxia, oxidative stress, inflammatory responses, matrix remodeling, and fibrous scarring. Conventional clinical therapies lack spatially targeted and temporally responsive modulation of the infarct microenvironment, leading to limited myocardial repair. Engineered hydrogels have a chemically programmed toolbox for minimally invasive localization of the pathological microenvironment and personalized responsive modulation over different pathological periods. Chemically programmed strategies for crosslinking interactions, interfacial binding, and topological microstructures in hydrogels enable minimally invasive implantation and in situ integration tailored to the myocardium. This enhances substance exchange and signal interactions within the infarcted microenvironment. Programmed responsive polymer networks, intelligent micro/nanoplatforms, and biological therapeutic cues contribute to the formation of microenvironment-modulated hydrogels with precise targeting, spatiotemporal control, and on-demand feedback. Therefore, this review summarizes the features of the MI microenvironment and chemically programmed schemes for hydrogels to conform, integrate, and modulate the cardiac pathological microenvironment. Chemically programmed strategies for oxygen-generating, antioxidant, anti-inflammatory, provascular, and electrointegrated hydrogels to stimulate iterative and translational cardiac tissue engineering are discussed.

Analysis of Elementary School Students' Numerical Abilities in Online Learning

Mathematics is a subject that must be mastered as it indirectly influences individuals' numerical abilities at further educational levels. This research aims to analyze the numerical analysis skills of sixth-grade elementary school students in mathematics during the Covid-19 pandemic. A qualitative descriptive approach is employed in this study. The research sample is selected using purposive sampling technique, specifically targeting students with low numerical abilities. Data are collected through observation, interviews, and documentation. The collected data are then analyzed using data reduction, presentation, and conclusion drawing techniques. `The research findings indicate that students' learning outcomes have not yet reached an optimal level. Online learning during the Covid-19 pandemic faces various challenges. Observations and interviews reveal that online learning is not as effective as face-to-face instruction. Both teachers and students encounter limitations in implementing the learning process. Additionally, the research findings uncover errors in performing simple arithmetic operations by students. The Mid-Term Assessment results indicate that students have not achieved the maximum level of achievement. Interviews with teachers also indicate numerous barriers and difficulties in conducting effective online learning during the Covid-19 pandemic. This research holds novelty value in the context of utilizing online learning in emergency situations such as a pandemic. The research findings provide insights into the challenges and constraints faced by students and teachers in online mathematics education. To address these issues, the development of more interactive and participatory teaching strategies, as well as the utilization of diverse and engaging learning media, are necessary. Future research could explore teaching methods that enhance students' numerical abilities during online learning and develop more adaptive and innovative instructional media.

Friendship matters—An interview study with adolescents with attention deficit hyperactivity disorder

Attention deficit hyperactivity disorder (ADHD) is a condition diagnosed in 5% of children and adolescents. This neurodevelopmental condition causes impaired academic, social, and occupational functioning. Adolescents with ADHD symptoms have lower health-related quality of life and children with ADHD have been described as having difficulties forming positive friendships. Therefore, the aim was to describe how 15–17-year-old adolescents with ADHD experience friendship with peers. A semi-structured interview study was conducted with twelve adolescents about their experiences of friendships. The adolescents were recruited from a Swedish psychiatry clinic. A qualitative content analysis was used. In the results, three main categories were constructed: "Bonding with Friends" underscores the importance of understanding, shared interests, and adaptability. The "One’s own role" category emphasises the dynamic interplay of self-perception and interpersonal behaviours in interaction with friends. The "How Friendship Matters" category describes the complex nature of friendships, involving both support and conflicts. The adolescents’ relationships improved with age, influenced by self-awareness, ADHD medication and support from adults. In conclusion, friendships play a crucial role in the well-being of the participants, providing vital support when navigating ADHD associated challenges. It is essential that the adolescents themselves, but also adults and healthcare providers, recognise and address their impulsivity issues and need for daily planning. We should assist adolescents in developing effective interaction strategies with friends. The study highlights the significance of friendships and peer support for the adolescents’ health and functioning.

Explaining the gift-giving intentions of live-streaming audiences through social presence: the perspective of interactive marketing

PurposeLive streaming has become an extremely popular form of online service and allows live audiences to give virtual gifts or money to their favorite streamers. This study aims to investigate the impact of the audience's multidimensional social presence on their attitudes toward live streamers and intentions to give money or gifts to streamers, based on the interactive marketing perspective. This study considers live audiences' gift-giving intentions by integrating the theory of multidimensional social presence, which includes awareness, cognitive social presence and affective social interaction, and the theory of reasoned action (TRA).Design/methodology/approachThis study invited audiences who had watched live streaming from several popular live-streaming platforms to respond to a web questionnaire. The unit of analysis was at the individual level. This study applied the purposive sampling technique for data collection. A sample of 258 eligible responses to the online survey was analyzed using SPSS software and the causal relationships between the measurement variables of this research model were verified through structural equation modeling.FindingsThe results indicate that the audiences' awareness of participating in live streaming enhanced their cognitive and affective social presence, which positively affected their attitudes toward live streamers. These attitudes had a further significant effect on their gift-giving intentions. Cognitive social presence and affective social presence were found to play significant mediating roles in the relationship between awareness and attitudes toward live streamers.Originality/valueThis study examines audiences' intention to give gifts to their favorite live streamers, based on the interactive marketing perspective. The interactive relationship between live streamers and online audiences is developed by audience members through the process of inner psychological transformation, which is measured through the multidimensional construct of social presence. This occurs through a mutual influence relationship in which awareness simultaneously influences cognitive social presence and affective social presence, and cognitive social presence impacts affective social presence.Research limitations/implicationsThe study contributes three noteworthy findings to the theory development through the integrated perspective of the TRA and the theory of social presence. (1) Exploring the influence of belief factors on internal psychological responses and intention in live streaming to expand an innovative application of the TRA. (2) Adopting the multidimensional social presence can help researchers more clearly describe various live-streaming situations and extend the research scope of the social presence theory to live-streaming interactive marketing strategies. (3) From the perspective of live-streamer marketing, this study broadens the research fields of electronic commerce and interactive marketing.Practical implicationsThis study provides four practical implications for platform managers and live streamers. (1) To induce favorable attitudes toward live streamers, live streamers initiate various interactive activities sequentially to establish a social presence with the audience. (2) Live streamers should devote themselves to forming a joyful atmosphere for their followers, as this will trigger audiences' affective social presence to generate positive attitudes and increase followers' intentions. (3) To attract and retain young followers, live streamers must devise interesting content and provide fresh services. (4) Platform managers must create useful widgets to assist live streamers in managing their channels and followers.Social implicationsBuilding friendly real-time interaction between the live streamer and the audience is an important task in live streaming and further influences the income of the live streamer and the platform. The study provides an effective approach to building friendly real-time interaction for the live streamer and manager of live-streaming electronic commerce through the interactive marketing perspective. The approach can help the live streamer manage nice communication with their audience and obtain virtual money and gift-giving from the audience.

Ultralow-freezing-point (−70 °C), organic solvent-free aqueous electrolyte with superior ionic conductivity and thermodynamics stability

Water-in-salt and organic solvent-additive strategies have significantly improved the electrochemical stability window of aqueous electrolyte, while it still faces poor low-temperature thermodynamics stability and unsatisfied transport kinetics, as well as flammability risks caused by organic solvent. Herein we report a novel “cation-water-urea ternary interaction strategy” via environmental-friendly and non-flammable urea (CO(NH2)2) to solve the above dilemma. The cation-water-urea ternary interaction strategy preferentially develops CO(NH2)2-cation solvation structures for weakened cation-anion associations, improved anti-salt-precipitation capability, and thus enhanced ionic conductivity, meanwhile it improves the low-temperature thermodynamics stability via the stronger CO(NH2)2-water hydrogen-bond interactions to suppress the freezing and electrolysis of water. The optimum ternary aqueous electrolyte exhibits an ultralow freezing point (−70 °C), wide electrochemical stability window (2.9 V) and outstanding ionic conductivity (135 mS cm−1@25 °C and 5.3 mS cm−1@−50 °C), demonstrating superior performance compared to traditional organic solvent-additive and water-in-salt electrolytes. Finally, to demonstrate its potential for practical applications, ternary aqueous electrolyte-based supercapacitors are fabricated using commercial activated carbon electrodes, which exhibit outstanding capacitance retention (71.4 %) and much lower ion transport resistance even at ultralow temperature of −40 °C. This work proposes a novel ternary aqueous electrolyte with improved thermodynamics stability and kinetics for safe, low-temperature energy storage applications.

Augmenting Trust in Robo Advisor Experiences Through Thoughtful UX Design

These tech-savvy investments are an easy part of the future of financial advice - but how well consumers can trust them is just as important. In this paper, we consider how deliberate design can build trust in robo-advisor platforms through their user experience. In this post, we look at the vital elements of a trustful user experience by going through core design principles and user interaction strategies. We aim to understand the users’ attitudes and behavior towards robo-advisors by an intensive review of the current literature and a thorough methodology. What is persuasive is a combination of transparency, usability, and having personalized interactions that our results show are very conducive to building trust. The research will also involve designing a UX and developing a prototype evaluated with the help of feedback and performance metrics. The results show a substantial bettering of user trust and satisfaction, demonstrating the crucial role that UX design has in the competitive development of robo-advisor entries.

Analysis of Unmanned Aerial Vehicle-Assisted Cellular Vehicle-to-Everything Communication Using Markovian Game in a Federated Learning Environment

The paper studies a game theory model to ensure fairness and improve the communication efficiency in an unmanned aerial vehicle (UAV)-assisted cellular vehicle-to-everything (C-V2X) communication network using Markovian game theory in a federated learning (FL) environment. The UAV and each vehicle in a cluster utilized a strategy-based mechanism to maximize their model completion and transmission probability. We modeled a two-stage zero sum Markovian game with incomplete information to jointly study the utility maximization of the participating vehicles and the UAV in the FL environment. We modeled the aggregating process at the UAV as a mixed strategy game between the UAV and each vehicle. By employing Nash equilibrium, the UAV determined the probability of sufficient updates received from each vehicle. We analyzed and proposed decision-making strategies for several representative interactions involving gross data offloading and federated learning. When multiple vehicles enter a parameter transmission conflict, various strategy combinations are evaluated to decide which vehicles transmit their data to the UAV. The optimal payoff in a transmission window is derived using the Karush–Khun–Tucker (KKT) optimality conditions. We also studied the variation in optimal model parameter transmission probability, average packet delay, UAV transmit power, and the UAV–Vehicle optimal communication probabilities under different conditions.

A neuro-game model for analyzing strategies in the dynamic interaction of participants of phishing attacks

A neuro-game model for analyzing strategies in the dynamic interaction of participants of phishing attacks