Interaction Strategies Research Articles

Enhancing Social Studies Learning Outcomes through Interactive Ice Breaking and Peer Teaching Strategies in Junior High School

This study aims to improve student learning outcomes in Social Studies (IPS) class IX-E at SMPN 5 Pamekasan through the interactive ice breaking game method “hooray-huuu” and the “Everyone is a Teacher Here” (ETH) strategy. This study used the Classroom Action Research (PTK) method consisting of two cycles, each of two meetings. The research subjects were 29 students. In cycle I, the student learning completeness rate reached 52%, while in cycle II it increased to 92%. This increase showed that the use of interactive game method and ETH strategy was effective in improving students' learning outcomes and motivation. The results recommend this method to create a more fun and participatory learning atmosphere, which allows students to be more active and understand the subject matter well.

The Effects of ‘Dialogic Reading’ on the Development of Mental State Vocabulary in Children with ASD

Objectives: Children with Autism spectrum disorders (ASD) have difficulties in understanding thoughts, intentions, and beliefs of others, which are related to the development of theory of mind. The purpose of this study was to facilitate the production of mental state vocabulary related to theory of mind in these children through ‘Dialogic book-reading’ intervention and to verify the intervention and generalization effects.Methods: A “PEER” strategy was conducted with children with ASD. The pattern of mental state vocabulary production was analyzed through a picture task, and generalization effects were examined using a parent-report checklist.Methods: A “PEER” strategy was conducted with children with ASD. The pattern of mental state vocabulary production was analyzed through a picture task, and generalization effects were examined using a parent-report checklist.Conclusion: This study provides evidence for the intervention and generalization effects of the interactive book reading strategy on the production of mental state vocabulary in children with ASD, highlighting the significance of using this strategy in clinical settings for training theory of mind in children with ASD.

Marketing Strategies of Cultural Tourism Industry under Media Convergence Background

The advent of the era of media convergence has broken down the barriers between traditional and emerging media, bringing profound changes to the marketing models of the cultural tourism industry. This paper explores the impact of media convergence on the development of the cultural tourism industry by analyzing its concepts and characteristics. It further delves into the application of diversified media channel integration, digital, and interactive marketing strategies. By building an integrated media matrix and fostering cross-industry collaborations, cultural tourism can maximize brand communication effectiveness, enhancing consumer engagement and loyalty. This study also examines typical domestic and international cases to summarize the successful experiences and practical paths of cultural tourism marketing strategies in the context of media convergence. The research suggests that the cultural tourism industry should continue to focus on media convergence trends, innovating marketing strategies to enhance market competitiveness and achieve a win-win situation for both cultural and economic benefits.

Features of the Development of International Trade in Tourist Services

Introduction. The relevance of studying the peculiarities of the development of international trade in tourist services is determined by the significant role of world tourism in the structure of the global economy. In the conditions of a complex international political situation, which is dynamically changing, it is crucial to identify the vectors of the development of the tourism industry to determine the future structure of the macro-regional distribution of tourist flows. Aim and tasks. The purpose of this study is to identify the dominant factors and prospects for the development of international tourism business in the conditions of modern global economic and political instability to determine the most favourable marketing strategies for interaction in the international market of tourist services by extrapolating the results to the possibilities of post-war recovery of the tourism industry in Ukraine. Results. An analysis of international tourism arrivals showed that the average annual growth rate of the industry from 1995 to 2020 average annual growth of international tourist arrivals was more than 4 per cent. Over the estimated period from 1995 to 2023, the average arrival rate decreased to 2.46 per cent. Macro-regions are considered the most promising for the scaling of international tourism, as well as the factors that will contribute to this and can inhibit economic processes. Special attention is paid to the positioning of Ukraine during the post-war recovery of the tourism industry. Forecast indicators indicate that international tourist arrivals to Ukraine could reach 61 million people in the tenth year of the post-war period. An alternative strategy for promoting national tourist products and brands in the target markets of Central and Eastern Europe, Asia, and the Middle East was proposed, and the feasibility of continuing the promotion of Ukraine as a tourist brand was substantiated. Conclusions. This study confirms the vector of the shift in global tourist flows under the influence of a number of factors that deepen the contradictions between the Global South and the North, revealing key trends in the growth and displacement of international tourist flows among countries belonging to two opposite camps. The directions of institutional and structural changes required to restore international tourism in Ukraine in the post-war period to strengthen Ukraine's position in the global tourism market are proposed.

IMCSN: An improved neighborhood aggregation interaction strategy for multi-scale contrastive Siamese networks

Graph contrastive learning is an effective method for enhancing graph representation by maximizing the similarity of representations between analogous graphs while minimizing the similarity between dissimilar ones. A common approach to improve the representation capabilities of graphs involves data augmentation, which generates additional training samples through transformations applied to the original graphs. However, traditional data augmentation techniques, such as random deletion of nodes or edges, often compromise the structural integrity of graphs, result in loss of crucial information, and lead to representation instability. To overcome these drawbacks, this study introduces a novel data augmentation paradigm, the integration of directed random noise (IDR), which incorporates controlled random noise to optimize the augmentation objectives. IDR enhances the diversity and robustness of representations without sacrificing the structural integrity of the graphs. This approach significantly improves the performance of graph contrastive learning, avoiding the common issues of graph structure damage and information loss associated with conventional methods. To further refine the model, this paper proposes an improved multiscale contrastive Siamese network framework that employs three Siamese networks to process different views of input graphs. It utilizes cross-network and cross-view contrastive learning objectives to optimize graph representations, leveraging the complementary information between different views to maximize the consistency of representations among similar graphs. This enhancement improves the quality and generalizability of graph representations. Additionally, the introduction of a self-supervised loss function based on graph reconstruction within the loss framework capitalizes on the structural similarity between the original and reconstructed graphs to further refine graph representations. This loss function ensures that the global view retains more structural information from the original graph, thus enhancing the complementarity between the global and local views. The effectiveness and stability of this research framework are demonstrated through node classification tasks and visualizations on six real-world datasets, comparing favorably against existing methods such as MERIT and GraphVAT. The proposed model achieves accuracy improvements of 3.21 % and 3.71 % on the Cora dataset and 1.12 % and 1.42 % on the CiteSeer dataset. Additionally, it ranks first in an average accuracy comparison across six datasets, with scores of 80.6 % and 52.67 %. These results underscore the robustness and efficacy of the proposed model in self-supervised graph representation learning, offering substantial advancements over existing techniques.

Self-improved multi-view interactive knowledge transfer

Multi-view learning (MVL) is a promising data fusion technique based on the principles of consensus and complementarity. Despite significant advancements in this field, several challenges persist. First, scalability remains an issue, as many existing approaches are limited to two-view scenarios, making them difficult to extend to more complex multi-view settings. Second, implementing consensus principles in current techniques often requires adding extra terms to the model’s objective function or constraints, leading to increased complexity. Additionally, when applying complementarity principles, most studies focus on pairwise interactions between views, overlooking the benefits of deeper and broader multi-view interactions. To address these challenges, this paper proposes the multi-view interactive knowledge transfer (MVIKT) model, which enhances scalability by effectively managing interactions across multiple views, thereby overcoming the limitations of traditional two-view models. More importantly, MVIKT introduces a novel interactive knowledge transfer strategy that simplifies the application of the consensus principle by eliminating the need for additional terms. By treating margin distances as transferable knowledge and facilitating multiple rounds of interaction, MVIKT uncovers deeper complementary information, thereby improving the overall effectiveness of MVL. Theoretical analysis further supports the MVIKT model, demonstrating that transferring knowledge through margin distance is capable of lowering the upper bound of the generalization error. Extensive experiments across diverse datasets validate MVIKT’s superiority, showing statistically significant improvements over benchmark methods.

The relationship between HE teachers' mission and teaching approach: Interaction inspiring enthusiasm as the basis for building knowledge and commitment to the profession

AbstractThe fundamental role of higher education is to help students learn to cope in a constantly changing and uncertain world. The key to this is to support the development of their agency and commitment to learning. Although technology is the main tool of knowledge transfer, according to the OECD, it is teachers who represent the values of their field and that of knowledge and learning.Since academic development is a relatively recent topic in the Hungarian literature, the present research aims to explore teachers' role interpretation, goals, missions, approaches to teaching, and their commitment to academic development at one of Hungary's leading business universities, the Budapest Business University (BBU). The study is based on 33 semi-structured interviews recorded at BBU involving 33 teachers of economics-related subjects in three faculties of the university. The interview transcripts were analysed by thematic analysis.The results show that participants have markedly different teaching approaches, and the interrelationships between their objectives, missions and academic development can be seen as constituting a system. Finally, the potential interrelationships among the different themes were examined. The findings show that the teachers' goals and missions are strongly related, although more affective factors can be identified in relation to missions. These affective factors include inspiring enthusiasm and building partnership and mutual learning. In line with this, most participants adopt a teacher/student interaction strategy, only few cases of student focus were identified.

Students’ Difficulties In Using Critical Thinking Skill While Reading Narrative Text

In the era of globalization and information technology, the ability to think critically is a very important skill for students to have. This ability is not only useful in an academic context, but also in everyday life to make informed and rational decisions. However, research shows that many students still have difficulty in using critical thinking skills, especially when reading narrative texts. This study aims to identify the difficulties experienced by students in using critical thinking skills when reading narrative texts. In addition, this study also aims to find effective teaching strategies to improve students' critical thinking skills in this context. This study uses a qualitative approach with a case study method. Data were collected through observation, in-depth interviews, and document analysis. The research participants were junior high school students who were selected by purposive sampling. The data obtained were analyzed using thematic analysis techniques to identify the main themes that emerged from the data. The results showed that students experienced several difficulties in using critical thinking skills when reading narrative texts, including difficulties in analyzing characters, understanding the storyline, and identifying key themes. In addition, the study found that the use of teaching strategies involving group discussions and open-ended questions can help improve students' critical thinking skills. The implications of this study show that teachers need to develop more interactive and collaborative teaching strategies to improve students' critical thinking skills.

Consumer interaction and privacy: the impact of in-feed lead generation ads on self-disclosure intention

PurposeAmidst the growing emphasis on privacy protection, this study aims to investigate how online interaction introduced in Lead Generation Ads (LGAs) affects consumers' Self-Disclosure Intention (SDI), particularly in the context of the Chinese advertising market.Design/methodology/approachThis research employs two scenario-based online surveys to analyse in depth the impact of LGAs on consumers' SDI. The first study collects valid feedback from 220 consumers through an online questionnaire to assess the direct effect of perceived interactivity on SDI. The second study, using an experimental design with a sample of 265 participants, further explores the mediating roles of perceived control and perceived vulnerability in the relationship between perceived interactivity and SDI and examines the moderating effect of privacy invasion experience (PIE).FindingsThis study reveals the significant and positive influence of perceived interactivity on SDI, with perceived control acting as a mediator that enhances this effect. Conversely, perceived vulnerability weakens the positive impact of perceived interactivity on SDI. Additionally, we explore the moderating role of PIE and find that it significantly influences the relationship between perceived interactivity and SDI. These findings underscore the importance of considering consumer privacy sensitivity, particularly in the design of interactive marketing strategies and within highly interactive advertising environments.Research limitations/implicationsOur research uncovers consumer privacy attitudes and behaviours in the Chinese market, providing insights into its unique dynamics of privacy and information disclosure. However, the geographical and cultural specificity of our study may limit its generalizability. Future studies should expand into various cultural and market contexts, considering the impact of digital technologies on consumer interactions and information disclosure, thereby enhancing the depth and applicability of global marketing strategies.Practical implicationsAdvertising platforms should explore online interactive communication methods to enhance consumers' perceived interactions and alleviate privacy concerns. Also, platforms should be designed with system security in mind to prevent the leakage and misuse of consumer data, thus increasing consumers' SDI.Social implicationsThe study provides insights for marketers on designing more effective and privacy-sensitive online advertising strategies in the Chinese market. Understanding the factors influencing consumers’ willingness to share personal information can lead to more effective engagement in digital marketing campaigns.Originality/valueBy integrating interactivity theory with privacy computing theory, this research provides a new perspective on the role of online interaction in consumer privacy protection and information disclosure decisions. The findings not only enrich the theoretical frameworks of interactive marketing and privacy protection but also offer empirical support for marketing practitioners in regard to designing interactive advertising strategies, especially balancing consumer privacy protection with the enhancement of shopping intentions.

Virtual Obstacle Avoidance Strategy: Navigating through a Complex Environment While Interacting with Virtual and Physical Elements.

Robotic walking devices can be used for intensive exercises to enhance gait rehabilitation therapies. Mixed Reality (MR) techniques may improve engagement through immersive and interactive environments. This article introduces an MR-based multimodal human-robot interaction strategy designed to enable shared control with a Smart Walker. The MR system integrates virtual and physical sensors to (i) enhance safe navigation and (ii) facilitate intuitive mobility training in personalized virtual scenarios by using an interface with three elements: an arrow to indicate where to go, laser lines to indicate nearby obstacles, and an ellipse to show the activation zone. The multimodal interaction is context-based; the presence of nearby individuals and obstacles modulates the robot's behavior during navigation to simplify collision avoidance while allowing for proper social navigation. An experiment was conducted to evaluate the proposed strategy and the self-explanatory nature of the interface. The volunteers were divided into four groups, with each navigating under different conditions. Three evaluation methods were employed: task performance, self-assessment, and observational measurement. Analysis revealed that participants enjoyed the MR system and understood most of the interface elements without prior explanation. Regarding the interface, volunteers who did not receive any introductory explanation about the interface elements were mostly able to guess their purpose. Volunteers that interacted with the interface in the first session provided more correct answers. In future research, virtual elements will be integrated with the physical environment to enhance user safety during navigation, and the control strategy will be improved to consider both physical and virtual obstacles.

Effects of immersion and interactive strategies on students’ intercultural competence in virtual learning environments

Effects of immersion and interactive strategies on students’ intercultural competence in virtual learning environments

Карьерная ориентация «профессиональная компетентность» как фактор успешного освоения роли врача студентами медицинских специальностей

Introduction. The article reflects the results of the study that made it possible to identify the connection between subjective personality traits and the severity of career orientation, manifested in the desire to improve their knowledge and skills in the chosen field among medical university students. The maturity of the studied career motivation can be an important factor determining the success of future doctors mastering role-related professional behavior. Theoretical analysis. The results of modern research allow us to talk about the importance of the formation of a career orientation “professional competence” for the successful self-realization of young doctors, but do not reveal the features of its relationship with the structural components of the subjective organization of an individual in the conditions of interpersonal interaction. Empirical analysis. Connections were found between motivation for self-improvement in the chosen professional activity, the ability to exercise self-control in communication conditions, as well as manifested ego positions in communication and self-regulation styles. Conclusion. The formation of a career orientation “professional competence” can be an important factor in the successful development of professional role behavior by medical students, subject to the actualization of subjective properties in the conditions of interpersonal interaction: volitional regulation of behavior, the optimal combination of required and demonstrated behavior in communication, the use of optimal styles of self-regulation and interaction strategies.

Advances in Shell and Core Engineering of Carbonized Polymer Dots for Enhanced Applications.

ConspectusCarbon dots (CDs), as a novel type of fluorescent nanocarbon material, attract widespread attention in nanomedicine, optoelectronic devices, and energy conversion/storage due to their excellent optical properties, low toxicity, and high stability. They can be classified as graphene quantum dots, carbon quantum dots, and carbonized polymer dots (CPDs). Among these, CPDs exhibit tunable structures and components that allow fine-tuning of their optoelectronic properties, making them one of the most popular types of CDs in recent years. However, the structural complexity of CPDs stimulates deep exploration of the relationship between their unique structure and luminescent performance. As an organic-inorganic hybrid system, the diversity of self-limited quantum state carbon cores and polymer-hybrid shell layers makes understanding the underlying mechanisms and structure-property relationships in CPDs a very challenging task. In this context, elucidating the structural composition of CPDs and the factors that affect their optical properties is vital if the enormous potential of CPDs is to be realized. Achieving controllable structures with predefined optical properties via the adoption of specific functionalization strategies is the prized goal of current researchers in the field.In this Account, we describe the efforts made by our group in the synthesis, mechanism analysis, structural regulation, and functional applications of CPDs, with particular emphasis on the design of CPDs core-shell structures with tailored optoelectronic properties for applications in the fields of optoelectronics and energy. Specifically, through the rational selection of precursors, optimization of reaction conditions, and postmodification strategies for CPDs, we have demonstrated that it is possible to regulate both the carbon core and polymer shell layers, thereby achieving full-spectrum emission, high quantum yield, persistent luminescence, thermally activated delayed fluorescence, and laser action in CPDs. Furthermore, we have established structure-performance relationship in CPDs and proposed a universal strategy for synergistic interactions between hybrid carbon-based cores and surface micronanostructures. In addition, we unveiled a novel luminescence mechanism in cross-linked CPDs, specifically "cross-linking synergistically inducing quantum-state luminescence", which addresses the challenge of efficient circularly polarized luminescence in the liquid and solid phases of CPDs. Subsequently, strong cross-linking, dual-rigidity, and ordering preparation methods were introduced, thereby pioneering tunable laser emission from blue to near-infrared wavelengths. Additionally, we developed a new strategy of "confined composite nanocrystals of CPDs", leading to various high-performance hydrogen evolution catalysts for water electrolysis. The CPDs developed by this strategy not only possessed excellent optical properties but also enabled high efficiencies in field of energy conversion, thus maximizing the utilization of CPDs. Finally, we discuss important new trends in CPD research and development. Overall, this Account summarizes the latest advancements in CPDs in recent years, providing case-studies that enable deep understanding of structure-property-performance relationships and regulation strategies in CPDs, guiding the future expansion and application of CPDs.

Negotiation strategies in ubiquitous human-computer interaction: a novel storyboards scale & field study

Negotiation strategies in ubiquitous human-computer interaction: a novel storyboards scale & field study

National Addiction Workshop: A Virtual Adaptation to Support Competency Development in Opioid Use Disorder Management.

Accessible, manualized, skill-based training ready for wide dissemination is needed to prepare healthcare staff to meet the needs of people impacted by the opioid epidemic. A 2-day workshop and simulation training was designed by an interprofessional substance use disorder (SUD) specialty care team, adapted to a virtual platform, manualized, and offered to healthcare staff and trainees from a large healthcare system. The workshop was offered 6 times over the course of 10 months with a total of 177 participants from across the United States enrolled in the training. Interactive experiential learning strategies including games designed to test knowledge, small-group case discussions, video demonstrations of skills, patient panels, and 3 simulations of a patient with chronic pain who developed opioid use disorder in the context of long-term opioid therapy were utilized in efforts to build skills and confidence managing SUDs in primary care and general mental health settings. Of those who completed the post-workshop survey, most found both content and training structure useful, particularly content related to medication management, stigma, and collaborative care. In addition, overall confidence scores in assessing, diagnosing, and treating SUD increased. Skill building exercises, such as interprofessional team simulations, were highlighted as most beneficial. The workshop received national attention leading to a partnership with the healthcare system's simulation center for wider dissemination. Expanding access to SUD treatment requires training healthcare staff to effectively change attitudes, increase knowledge, and improve key skills. This 2-day interprofessional workshop was well-received by participants who reported high acceptability and satisfaction scores and demonstrated improved confidence in the management of SUDs. This type of manualized, collaborative, skill-based learning experience can foster staff preparedness and willingness to conceptualize SUD as a chronic condition amenable to treatment in different healthcare settings.

Cognitive Schema to Interests for English Learning of Net-Generation College Students: A Basis for English Teaching Design in Sichuan Province, China

This study explores the impact of cognitive schemas on English learning interests among college students in Sichuan Province, China. Despite the critical role of English in providing academic and professional opportunities in a globalized economy, many students face challenges such as basic comprehension issues and lack of engagement, often exacerbated by an exam-centric education system. By applying schema theory, the research investigates how language, content, and formal schemas influence students' English learning interests. Utilizing a quantitative approach, data was gathered from 380 students through questionnaires and analyzed using statistical methods. The findings reveal gaps in language schema proficiency and low engagement in English learning, suggesting a need for personalized, interactive teaching strategies. The study provides insights into effective pedagogical practices tailored to the needs of Net-Generation students.

STRATEGI DAN MEDIA PEMBELAJARAN YANG KREATIF DAN INOVATIF PADA MATA PELAJARAN AKIDAH AKHLAK DI MADRASAH

This research aims to analyze creative and innovative strategies and media in teaching Aqidah Akhlak in Madrasas. This research uses a type of library research. Research Results: Aqidah Akhlak learning strategies can be in the form of: 1) Direct Learning Strategies (direct instruction), 2) Indirect Learning Strategies (indirect instruction), 3) Interactive Learning Strategies (interactive instruction), 4) Learning Strategies through Experience (experiential learning ), 5) Independent Learning Strategy. Meanwhile, creative and innovative media takes the form of: 1) Print media, which can be in the form of textbooks, worksheets, or modules that can be used by teachers and students. 2) Audio media is implemented, for example at the MI level in phase B (Class 3) which can use audio in the form of sound speakers related to Asmaul Husna material, so that students can listen carefully and memorize it easily. 3) Visual Media can be applied in Phase D (Class VII) of MTS, such as the material "Manners of Social Media from an Islamic View". Teachers can use image media regarding various types of social media for each student by explaining each student's advantages, disadvantages, impacts of use, and etiquette in using them. 4) Audio visual media can be used at the Class

SPCANet: congested crowd counting via strip pooling combined attention network.

Crowd counting aims to estimate the number and distribution of the population in crowded places, which is an important research direction in object counting. It is widely used in public place management, crowd behavior analysis, and other scenarios, showing its robust practicality. In recent years, crowd-counting technology has been developing rapidly. However, in highly crowded and noisy scenes, the counting effect of most models is still seriously affected by the distortion of view angle, dense occlusion, and inconsistent crowd distribution. Perspective distortion causes crowds to appear in different sizes and shapes in the image, and dense occlusion and inconsistent crowd distributions result in parts of the crowd not being captured completely. This ultimately results in the imperfect capture of spatial information in the model. To solve such problems, we propose a strip pooling combined attention (SPCANet) network model based on normed-deformable convolution (NDConv). We model long-distance dependencies more efficiently by introducing strip pooling. In contrast to traditional square kernel pooling, strip pooling uses long and narrow kernels (1×N or N×1) to deal with dense crowds, mutual occlusion, and overlap. Efficient channel attention (ECA), a mechanism for learning channel attention using a local cross-channel interaction strategy, is also introduced in SPCANet. This module generates channel attention through a fast 1D convolution to reduce model complexity while improving performance as much as possible. Four mainstream datasets, Shanghai Tech Part A, Shanghai Tech Part B, UCF-QNRF, and UCF CC 50, were utilized in extensive experiments, and mean absolute error (MAE) exceeds the baseline, which is 60.9, 7.3, 90.8, and 161.1, validating the effectiveness of SPCANet. Meanwhile, mean squared error (MSE) decreases by 5.7% on average over the four datasets, and the robustness is greatly improved.

Chemical Synergic Stabilization of High Br-Content Mixed-Halide Wide-Bandgap Perovskites for Durable Multi-Terminal Tandem Solar Cells with Minimized Pb Leakage.

High Br-content mixed-halide perovskites with wide-bandgap (WBG) of 1.6-2.0 eV have showcased vast potential to be used in tandem solar cells. However, they often suffer from severe halide segregation, phase separation and ion migration issues, which would accelerate the decomposition of perovskites films,deteriorate the photovoltaic performance and even aggravate the lead leakage from damaged devices. Here, we report a novel chemical synergic interaction strategy to mitigate the abovementioned issues. A small amount of cationic β-cyclodextrin, composed of multiple ammonium cations, chlorine ions and abundant hydroxyl functional groups, was introduced into WBG perovskites, which effectively stabilized the halide ions and homogenized the phase distribution, comprehensively passivated the defects,and efficiently immobilized the Pb2+ ions. Encouragingly, the cationic β-cyclodextrin was universal and useful for different WBG perovskites, which favorably boosted the efficiencies by 10%-36% and extended the device operational stability to 2680 h. The integrated four-terminal orsix-terminal all-perovskite tandem solar cells exhibited efficiencies up to 24.39% and 22.42%, respectively. We demonstrated the cationic β-cyclodextrin-assisted internal chemical encapsulation effectively prevented the Pb leakage from severely damaged devices with only 5.63 ppb Pb leaching out. The target tandem solar cells with cationic β-cyclodextrin modification also realized a Pb sequestration efficiency of 93.4%.

Chemical Synergic Stabilization of High Br‐Content Mixed‐Halide Wide‐Bandgap Perovskites for Durable Multi‐Terminal Tandem Solar Cells with Minimized Pb Leakage

High Br‐content mixed‐halide perovskites with wide‐bandgap (WBG) of 1.6‐2.0 eV have showcased vast potential to be used in tandem solar cells. However, they often suffer from severe halide segregation, phase separation and ion migration issues, which would accelerate the decomposition of perovskites films, deteriorate the photovoltaic performance and even aggravate the lead leakage from damaged devices. Here, we report a novel chemical synergic interaction strategy to mitigate the abovementioned issues. A small amount of cationic β‐cyclodextrin, composed of multiple ammonium cations, chlorine ions and abundant hydroxyl functional groups, was introduced into WBG perovskites, which effectively stabilized the halide ions and homogenized the phase distribution, comprehensively passivated the defects,and efficiently immobilized the Pb2+ ions. Encouragingly, the cationic β‐cyclodextrin was universal and useful for different WBG perovskites, which favorably boosted the efficiencies by 10%‐36% and extended the device operational stability to 2680 h. The integrated four‐terminal or six‐terminal all‐perovskite tandem solar cells exhibited efficiencies up to 24.39% and 22.42%, respectively. We demonstrated the cationic β‐cyclodextrin‐assisted internal chemical encapsulation effectively prevented the Pb leakage from severely damaged devices with only 5.63 ppb Pb leaching out. The target tandem solar cells with cationic β‐cyclodextrin modification also realized a Pb sequestration efficiency of 93.4%.