Theory Of Problem Solving Research Articles

Designing Ergonomic Standing Chair for Computer Numerical Control Machine Operators using TRIZ

In this research, the working hours and posture of CNC (Computer Numerical Control) machineoperators were investigated to determine the physical workload that they experienced during theirdaily work. Based on our observations, the operator works 8-hour regular shifts or 12-hour longshifts for 5 – 6 days a week. During these shifts, the operators work in front of the CNC machinewhile standing upright without any tools to rest. Preliminary research was conducted to evaluatethese conditions the results show 13 out of 20 CNC machine operators complained about physicalfatigue while working the CNC machines. It can also be concluded that the operators areexperiencing excessive workload based on a workload assessment using the Quick Exposure Check(QEC) method. To solve this problem, a standing chair is designed with ergonomics in mind. Thedimensions of the standing chair are based on the anthropometry of the CNC machine operators,which was never used before. The design process is conducted using the Theory of InventiveProblem Solving (TRIZ) methodology. Need statements from the CNC machine operators anddesign requirements from the stakeholders are converted into design specifications using TRIZmethodology. Parameters are determined to increase the capability of the existing design based onthe design specifications. The result of this research is a standing chair that is suitable for theoperator’s needs. Based on the analysis of the design result and the stress analysis simulation, it canbe concluded a functional standing chair can be ergonomically designed with the TRIZmethodology.

Fostering Tech Innovation

This study aimed to interpret the value of integration of TRIZ (Teoriya Resheniya Izobretatelskih Zadach; Theory of Inventive Problem Solving) and ChatGPT(Chat Generative Pre-trained Transformer) to enhance technological and entrepreneurial problem-solving and decision-making. TRIZ offers a structured approach to innovation, while ChatGPT excels in generating diverse and innovative responses through advanced natural language processing. From the combination of them, we tried to discover synergies that promote innovation in highly competitive business areas. Through the analysis of case studies, including "Imperfect Waterproof Zipper" and "Drilling a Hole in a Thin-Walled Tube", we discovered that this integration not only aligns with actual problem-solving outcomes but also enhances the quality of solutions, particularly benefiting developers with limited TRIZ knowledge. We identified that leveraging ChatGPT enables developers and entrepreneurs to approach challenges with enhanced creativity, yielding practical and innovative solutions through these case studies. Our approach, focusing on real-world applications, demonstrates the study's contribution by providing a novel strategy for combining structured problem-solving with AI capabilities. The primary motivation behind this research was to ascertain whether AI can amplify the problem-solving framework of TRIZ, thereby extending its utility beyond traditional domains. The findings underline the importance of AI in creative problem-solving, suggesting that even those unfamiliar with TRIZ can apply its principles effectively with the aid of ChatGPT. This research adds to the existing knowledge by showcasing how AI can be a powerful ally in the creative process, offering new avenues for problem-solving and strategic decision-making. In conclusion, our study demonstrates that the collaboration between TRIZ and ChatGPT not only elevates creativity but also equips developers and entrepreneurs with competitive strategies, emphasizing the role of AI in driving forward human innovation and creativity.

STOPS and multivariate hierarchical aglomerative clustering: segmentation of the public regarding children’s vaccinaton communication in Slovenia

PurposeFrom a public health perspective, vaccination programmes significantly add to long-term, safe co-existence. However, because there is no social consensus about their benefits and risks, the promotion of vaccinations is difficult. Based on Kim and Grunig’s situational theory of problem solving (STOPS), including communicative action in problem solving (CAPS), this paper both proposes a model for identifying the involvement of mothers of young children in communication regarding vaccination and advocates for a novel approach to STOPS and CAPS data analyses.Design/methodology/approachThe methodological design develops empirical analyses of the data yielded by the STOPS model. Two approaches to determining associations between situational-motivational variables and communicative-action variables in random-sample survey data obtained in Slovenia in 2016 (N = 1704) are implemented – i.e. visual methods and multivariate agglomerative clustering algorithm.FindingsThe STOPS model has been confirmed and both data-analyses approaches have shown potential by clearly demonstrating associations and patterns in the data. Based on these findings, we conclude that they have the potential to be the norm in analysing STOPS models.Research limitations/implicationsLimitations of the study, which are still to be overcome, involve drawing on one sample in one country and testing only one set of indicators.Practical implicationsFrom an academic point of view, confirmation of both the model and the analytical power of the pragmatic data-analyses methods significantly add to communication studies. From practical and social points of view, relationships among attitudes and communication behaviour, as outlined in the exposed segments of the public, enable the improvement of every step in strategic-communication planning and implementation.Originality/valueThis paper fulfils an identified need to establish a theoretical framework and methodology of segmentation in vaccination-communication studies.

Preparation of graphene/AlCoCrNiTiMox coatings by laser parameter optimization based on TRIZ theory and its application in extending the service life of surveying and mapping drones

During the use of surveying and mapping drones, their aluminum (Al) alloy body is prone to corrosion and has certain requirements for mechanical properties. In order to extend the service life of surveying and mapping drones, this study uses laser cladding technology to prepare graphene (Gr) reinforced AlCoCrNiTiMox high entropy alloys (HEAs) coatings on the Al alloy surface of the drone body. In order to optimize the laser preparation parameters, the Invention Problem Solving Theory (TRIZ) is introduced. By utilizing innovative tools such as physical contradictions, technical contradictions, and material field models of this theory, the preparation process parameters such as laser power, laser scanning speed, laser spot diameter were optimized. The microstructure of the coatings were analyzed using scanning electron microscope (SEM), transmission electron microscope (TEM), electron back scatter diffraction (EBSD), etc. The corrosion resistance, hardness and wear resistance of the coatings were tested. The experimental results show that the microstructure of Gr/AlCoCrNiTiMox alloy is mainly composed of equiaxed grains and molybdenum-chromium (Mo-Cr) precipitates. The Gr/AlCoCrNiTiMox HEAs exhibits excellent corrosion resistance in 0.5 mol/L H2SO4 solution. The corrosion resistance of alloys is related to their composition, the effects of Gr and Mo elements. Under the combined effects of solid solution strengthening, precipitation strengthening, Mo element and Gr, the mechanical properties of Gr/AlCoCrNiTiMox alloys are excellent. The hardness of Gr/AlCoCrNiTiMo0.1 and Gr/AlCoCrNiTiMo0.2 alloys are 685 HV and 736 HV, respectively, with average friction coefficients of 0.64 and 0.58, respectively. The effect of Mo element makes the grain size of Gr/AlCoCrNiTiMo0.2 alloy smaller than that of Gr/AlCoCrNiTiMo0.1 alloy, resulting in better mechanical properties and corrosion resistance. The research results indicate that laser cladding of Gr/AlCoCrNiTiMox coating on the Al alloy surface of drone fuselage provides assurance for extending its service life.

Innovative Design to Control Spartina Alterniflora

In order to effectively curb the rapid growth trend in Spartina alterniflora in coastal cities of China, this study proposes an innovative mechanical equipment design scheme for eradicating Spartina alterniflora. Based on literature analysis and field research, the AHP (analytic hierarchy process) model is constructed to quantify and prioritize the diverse needs of users for control equipment. Subsequently, the House of Quality (HOQ) in QFD (Quality Function Deployment) is used to analyze the key components and structure of the equipment to ensure its performance and feasibility in practical applications. Finally, combined with the Theory of Inventive Problem Solving (TRIZ), the potential problems encountered in the structural design of the equipment are analyzed, and the corresponding creative principles are applied to solve the contradictions and complete the optimal scheme design. This study, via the acquisition of user needs and further analysis of the machinery’s structure, proposes a scheme that can address many problems related to Spartina alterniflora in China and provide new technical ideas for the field of wetland environmental protection.

Sustainable Innovative Design of Elderly-Friendly Smart Medical Products: An Integrated Model

Under the promotion of combined medical and elderly care (CMEC) policies, the market demand for elder-friendly smart medical products as convenient intelligent healthcare devices is growing. However, most studies on elderly-friendly smart medical products focus on functional enhancement and cost control, and there is a lack of research on the sustainable innovative design of elder-friendly smart medical products from the perspective of elderly emotional needs. Therefore, this paper proposes an integrated framework based on the fuzzy Kano model, Kansei engineering, and theory of inventive problem solving (TRIZ) for mapping the complex and dynamic emotional needs of the elderly to product design parameters to produce innovative solutions, ensuring the sustainability of the design process and the innovativeness of the design solutions of elder-friendly smart medical devices. We verified the effectiveness and applicability of this integrated framework through a case study involving sustainable innovation design of a smart blood pressure device. The results of this study are of considerable theoretical and practical significance for promoting the development of the market for elder-friendly smart medical products under the policy of CMEC, meeting the needs of the elderly for healthcare devices and improving their quality of life.

Enhancing cassava grater design: A customer-driven approach using AHP, QFD, and TRIZ integration

Due to consistent cassava cultivation, small-scale processing centers rely heavily on the cassava grater. However, these machines face stagnation in innovation and design evolution, leading to inefficiencies, limited capacity, and inconsistent output. Adding to these challenges is the competitive global market, demanding a focus on design enhancements. This study employs a multi-faceted approach involving the Analytic Hierarchy Process (AHP), Quality Function Deployment (QFD) and Theory of Inventive Problem Solving (TRIZ) to prioritize customer requirements, propose technically aligned solutions, and offer innovative design options for cassava graters. A total of 10 customer requirements (CR), 21 technical solutions (TS), and 63 innovative design options (IDO) were established and prioritized, aiming for easy adoption by fabricators, engineers, manufacturers, and artisans. Implementing these insights boosts cassava grater efficiency and productivity and significantly advances knowledge. This work presents a thorough scientific framework for product design, empowering local manufacturers to remain viable and relevant in the rapidly changing field of product enhancement.

Exploring synergies between AIGC and TRIZ in the optimisation of road cone design through integrated innovation methods

Utilising the Theory of Inventive Problem Solving (TRIZ) and Artificial Intelligence Generated Content (AIGC) models, this paper explores AI-assisted creative design and uses traffic cone design as a case. The objective is to evaluate whether AIGC can assist or potentially replace TRIZ in this field. Despite TRIZ being an established methodology renowned for its effectiveness in systematic problem solving, it faces challenges related to implementation complexity and adaptability across different cultures and industries. In contrast, AIGC, through its data-driven tools, offers automation and enhanced innovation, showing promise to overcome these limitations. Evidence from qualitative case studies and quantitative studies indicate that while AIGC enhances the efficiency and stability of creative models, its limitations in system analysis and innovative thinking prevent it from independently solving complex creative design issues, thereby not fully replacing TRIZ. However, AIGC can effectively complement the TRIZ model by enhancing the practicality of solutions through its data processing capabilities, thereby improving overall design efficiency and innovation. This synergy has the potential to accelerate the development of innovative solutions and conceptual designs, indicating that integrating AIGC with TRIZ leverages the strengths of both methodologies to produce more effective and innovative design outcomes.

The Common Orientation of Community Psychology and Wonhyo’s Thought: ‘One Mind’, ‘Harmonizing Disputes’ and ‘Non-hindrance’ in Focus

This study aims to relate the emerging field of community psychology with the philosophical thoughts of Wonhyo, a prominent figure in Korean Buddhism, from the aspect of their common orientation, to explore the development of both Buddhist philosophy and psychological research. The integration of modern psychology and Buddhist theory has only recently begun. In community psychology, there is a continuous need for the complementation of theory and case studies, and within Buddhism, there is a need to academically and popularly expand the advantages of Buddhist teachings. Furthermore, this research is believed to significantly contribute to the theory and practice of community problem-solving, which modern society demands. The characteristics of community psychology that differ from previous psychological research are twofold. First, it conducts a balanced examination of individuals and structures, moving away from the individual-centric focus of traditional psychology. Second, it emphasizes practice beyond theory, diverging from the theory-heavy focus of prior studies. Wonhyo’s philosophy is particularly well-suited to these characteristics. In the discussion, the theoretical contributions of Buddhism to community psychology are examined, based on Wonhyo’s philosophy, with a focus on the two main features mentioned above. This includes discussions on Buddhist introspection and the pursuit of enlightenment, grounded in a Mahāyāna perspective of the interdependent nature of the One Dharma world and the Bodhisattva path. The study further explores Wonhyo’s philosophy and practical examples pertinent to community psychology. Specifically, this examination focuses on the community’s psychological characteristics and practical examples demonstrated in Wonhyo’s concepts of ‘One Mind’, ‘Harmonizing Disputes (Hwajaeng)’, and ‘Non-hindrance’, categorizing them into individual and community aspects. Through this research, it is confirmed that the personal cultivation and community contributions of Buddhism are vividly present in Wonhyo’s theory and deeds. Particularly, Wonhyo’s philosophy and actions, embodying the benefits of humanistic and relational Buddhism, are expected to contribute significantly to the problem-solving of modern society and the academic advancement in community psychology.

A Study of Anticipatory Failure Determination (AFD) based on Scenario Analysis Methods

Theory of Inventive Problem Solving (TRIZ) is a methodological algorithm that helps solve complex problems by generating original ideas. The Anticipatory Failure Determination (AFD) method is one of the problem-solving methodologies within TRIZ. It is a creative way to solve problems when you cannot find the cause of a problem or observe the situation in which it occurs. This study aimed to investigate the effectiveness of the Anticipatory Failure Determination (AFD) method, which is one of the problem solving methodologies within the Theory of Inventive Problem Solving (TRIZ). TRIZ is a methodological algorithm designed to address complex problems by stimulating the generation of original ideas. It involves a shift in thinking: instead of looking for the cause of a problem (i.e., "why does it happen?"), it looks for ideas to solve the problem (i.e., "how can I make it happen?") by formulating a hypothesis and testing the hypothesis. In doing so, they explore and leverage resources that exist within or adjacent to the system to support the failure hypothesis. A resource is anything that is used to fulfill the ideal final result. In this study, scenario analysis, a methodology synonymous with foresight, is integrated into the AFD framework to enhance problem-solving capabilities. By incorporating scenario analysis, the formulation of failure hypotheses crucial to the AFD process is facilitated. Additionally, a case study demonstrating the application of AFD augmented by scenario analysis is presented, showcasing its efficacy in resolving complex problems. This integration aims to proactively mitigate future risks and prevent potential damages. Through this research, a comprehensive understanding of how scenario analysis enriches the AFD methodology is provided, empowering practitioners to pre-emptively address emerging challenges. Ultimately, the goal is to fortify problem-solving capacities and foster resilience in the face of evolving complexities.

Applied Ideation Methodology Selector Tool

AbstractIn engineering and product development, it is challenging to identify the most promising opportunities to work on, translate those opportunities into well‐defined problem statements, generate many alternative concepts, and select/implement the most promising concepts. Many well‐known tools aim to put structured processes around the ideation or concept generation phase, including, but not limited to, Theory of Inventive Problem Solving (TRIZ), Yilmaz et al. 77 Design Heuristics, Biomimicry, and Brainwriting. Herein, the authors identify thirteen methods specific to concept generation, clearly define and differentiate what these methods excel at, and provide structured reasoning as to why some methods are preferred in various situations over others. Following this reasoning the authors propose a Microsoft Excel‐based tool built off a modified version of Analytic Hierarchy Process (AHP) that with user input will recommend the best set of ideation methodologies for the users' scenario. Seven criteria definitions were established to differentiate and rank each ideation methodology. Multiple test cases demonstrate the results of the selection tool to be predictable and rational. Possible future work includes adding additional ideation methodologies to the Excel based tool, further validation by more users, and expanding it to include tools for both problem definition and concept selection/implementation methodologies. The authors feel that doing great systems engineering must begin with a great architecture/concept, and this tool can facilitate routine development of highly innovative, high‐valued solutions that, when well executed via a rigorous systems engineering process, will create exceptional enterprise value.

A COVID-19 Paradox of Communication, Ignorance, and Vaccination Intention

This study focused on the role of Americans’ communication about COVID-19 vaccines, and its potential associations with two significant vaccine determinants. Two studies informed by the Situational Theory of Problem Solving (STOPS) were conducted. In the first, the researchers incorporated the intention to receive vaccination against the COVID-19 pandemic and vaccine-specific knowledge into STOPS to examine the associations among these three key variables. The second study introduced a new variable, trust in science/scientists, as a potential conceptual variable that functions together with vaccine knowledge to explain why Americans’ intentions to receive COVID-19 vaccines increased despite their imperfect knowledge about them. Two online surveys were distributed using Amazon Mechanical Turk (Study 1) and Qualtrics (Study 2). The first was administered from December 18 through 22 of 2020, and the second from December 18 through 29 of 2020. An enhanced level of communicative action with respect to COVID-19 vaccines decreased the accuracy of knowledge about the vaccines, which increased the intention to receive these vaccines (Study 1). A significant interaction was also found between COVID-19 vaccine knowledge and participants’ levels of trust in science/scientists on study participants’ future intention to receive COVID-19 vaccines (Study 2). Contrary to previous findings, Americans’ increased activeness in COVID-19 vaccine-specific communication was associated negatively with vaccine knowledge, which in turn, increased COVID-19 vaccination intentions. This negative association reflects the complex and unique nature of information environments with respect to COVID-19 vaccines. Trust in science/scientists served as a significant missing conceptual variable that shed light on the paradoxical finding.

Improving Maintenance Operations on Raw Material Conveying Equipment by Using TRIZ Technique

The objective of this research is to improve equipment used for conveying raw material in the construction material industry and establish standard procedures for maintenance by applying Theory of Inventive Problem Solving (TRIZ). Research methodology consists of 1) studying the maintenance system of raw material conveying equipment of the case study company 2) collecting data and prioritizing problems using a Pareto chart, 3) setting goals, 4) analyzing the causes of the problems with Why-Why analysis and 3 GEN techniques, 5) concluding the results. Results from the study in 2022 showed that problem occurred at sieves and vibrator base used for filtering raw materials resulting in a high maintenance frequency of 28 times. The causes of the problem are the improper shape of the sieves and the installation position of the sieve vibrator including the carelessness of the worker to turn off the vibrator. This research solved the problems by applying TRIZ as guidelines for designing new sieves and applying Total Productive Maintenance (TPM) in establishing standard procedures for maintenance. The results of the improvement during May-November 2023 showed that the frequency of sieves maintenance decreased to 3 times equivalent to 6 times per year approximately, achieving the goal of less than 14 times/year. The MTBF increased from the original 171.67 hours to 1,055.91 hours and the MTTR decreased from 3.04 hours to 2.55 hours. It can be concluded that TRIZ can be applied to improve the material conveying equipment by significantly reducing the maintenance frequency.

Design Ideation and Selection of Under-Piston Door for a Two-stroke Marine Engine Using Hybrid TRIZ-biomimetic and MCDM Methods

Design ideation and selection of a two-stroke marine engine under-piston door employing Theory of Inventive Problem Solving (TRIZ), biomimetics, Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is presented in this paper. The study is motivated by exploring bio-composites as potentially suitable substitutes for conventional steel in engine component manufacture. As bio-composites possess lower mechanical properties compared to steel, the geometrical redesign was deemed necessary for any potential material substitution to take place. New under-piston door designs were ideated through the synergy between TRIZ and biomimetics. Computational models were developed, inspired by the Amazon waterlily, the tortoiseshell and the spider web. Mechanical simulation was performed for maximum stress (von Mises), total deformation and volume. With the simulated results of these designs, AHP and TOPSIS provided the solution’s capabilities to decide the best design overall. The design inspired by the Amazon waterlily proved the best and showed lower stress and deformation values compared to the original by 45.25% and 4.5%, respectively. This research provided conclusive evidence that with refined scrutiny of the TRIZ and biomimetic methods, along with AHP and TOPSIS, potential alternatives to conventional materials that offer environmental friendliness without compromising operational requirements can be realised.

Interactive cue matters: The moderation role of situational factors in the effects of user comments on news sharing

Communicators often find it challenging to prioritize the public and manage their comments during risk communication. This study explored the effects of comments as interactivity cues on news diffusion while considering situational factors under the framework of the Situational Theory of Problem Solving in the context of the US-China trade conflict. For this purpose, the researchers conducted an experiment to investigate the effects of interactivity cues and public segmentations on news sharing. The findings suggest that comments elicit different news-sharing behaviors among different segments of the public. The aware public shares more news than the activists/active public who are more likely to share when exposed to news posts with disabled comments than those with enabled comments. The results regarding the different segments of the public suggest the absence of the latent public in hot issues. Furthermore, the results suggest that message attributes have a limited effect on individuals’ information-processing behavior unless considering situational factors. The theoretical contributions and practical implications for communicators are further discussed.

Философия изобретения Ж. Симондона и Г.С. Альтшуллера на примере задачи о ледоколе

The article aims to study the possibilities of combining the theories of inventive creativity of the French philosopher J. Simondon and the Soviet engineer G.S. Altshuller. As an ex­ample, we take The Icebreaker Problem, which has often been offered to students of in­troductory courses of G.S. Altshuller’s theory of inventive problem solving (TRIZ). The presuppositions for the ideas about the technical evolution of both authors are con­sidered. The main provisions of the theory of technical evolution are demonstrated on the basis of the evolution of icebreakers. Technological inventions are considered from Simondon’s point of view. Then, we consider the principles of Altshuller’s algorithm for inventive problem solving (ARIZ) to solve The Icebreaker Problem. Although both authors describe this process from different perspectives, the general theory of the in­vention allows us to combine them both, justifying the discrepancies. TRIZ naturally complements Simondon’s inventive creativity theory as a method. Simondon’s theory, in its turn, explains the origins of this method and other unusual characteristics of TRIZ (such as the “splitting” of the subject within the framework of the idea of directed evolu­tion that organizes TRIZ).

The Power of Internal Communication for Environmental Sustainability in Promoting Employee’s Pro-Environmental Behaviors

ABSTRACT Using the situational theory of problem solving (STOPS) as a theoretical framework, this study examines how internal communication regarding environmental initiatives can promote pro-environmental behaviors (PEBs) of employees at work, thereby helping achieve corporations’ sustainability goals. Results of an online survey of 443 employees in the U.S. suggested that internal communication helps to increase employees’ problem and involvement recognition of their employer’s sustainability initiatives, while decreasing their constraint recognition. When employees are situationally motivated by their organizations’ communication efforts, they actively engage in communicative behaviors and PEBs at work. Theoretical and practical implications for internal public relations are discussed.

Driving Climate Action via Government Public Relations: The Role of Government-Citizen Relationships and Situational Perceptions

ABSTRACT The purpose of this study is to predict the active communication behaviors and their Behavioral Intentions to Support Federal Climate Policies from the view of government public relations. Using data from an online survey of 548 adults living in the United States, this study investigated the roles of Government-Citizen Relationships (GCR) and situational perceptions (i.e. Problem Recognition, Constraint Recognition, and Involvement Recognition) in predicting active communication behaviors (i.e. information seeking, forefending, and forwarding) and federal climate policies in the framework of situational theory of problem solving (STOPS). The results of this study indicate that GCR is critical in predicting active communication behaviors and public support. While Involvement Recognition among situational perceptions is significant to predict active communication behaviors and public support, program recognition and Constraint Recognition are partially significant. The results highlight the pivotal mediating roles of situational perceptions – Problem Recognition, Constraint Recognition, and Involvement Recognition – in the link between GCR and public support for federal climate policies.

Assembly process analysis and system design for deep in-situ fidelity corer

The deep in-situ corer is an essential tool for exploring the physical and mechanical behaviours of rocks at varying depths. Corers are multi-part products, encompassing extensive redundant assembly information stemming from the intricate assembly processes and numerous components. Thus, designing assembly systems for corers poses complexity challenges. This paper proposes an automated assembly system design framework, comprising assembly process analysis and system development. The proposed framework offers comprehensive design processes for multi-part product assembly systems, emphasizing managing information amount and complexity during the design phase. Specially, design principles and methods for minimizing information amount are analysed. And the directed graph is utilized to express the assembly information. Building upon this foundation, automated assemblability assessment and assembly process modular clustering is proposed to amalgamate and streamline assembly information, thus reducing design complexity. Leveraging pre-processed assembly information, the sub-functional solutions for assembly system are solved and optimized with AD (Axiomatic Design) and TRIZ (the Theory of Inventive Problem Solving). A case study of the deep-sea gas hydrate corer validated the effectiveness of the proposed methods in reducing information amount and yielding sub-functional solutions, thereby facilitating overall system design realization. Assembly experiments verified the designed system accomplished functional requirements. This study serves as a valuable reference for automated assembly analysis and system development for multi-part products, offering technical insights into developing deep in-situ cores from an assembly perspective.

The Impact of a Sterinberg Theory-Based Training Program on Secondary School Students' Development of Critical and Creative Thinking Skills

This study aimed to test the impact of a training program based on Sternberg's theory of problem solving on the development of critical and creative thinking skills among secondary school students, using a semi-experimental approach. The sample consisted of 70 students from the first grade of literary secondary school at Al-Baraa bin Malik Secondary School in the Directorate of Education of Naour in Jordan and was divided equally into two groups: experimental and control. The researcher built a training program based on Sternberg's theory of problem solving, known as the 'thinking circle', which consists of seven dimensions: feeling the problem, identifying the problem, representing the problem, choosing or inventing a solution strategy, effectively allocating resources for the solution, monitoring the problem solution, and evaluating the problem solution. The program was implemented during 11 six-week training sessions in the second semester of 2021–2022. The California 2000 Critical Thinking Scale and the Torrens Creative Thinking Scale (A) were also used in both the pre- and post-group assessment processes. To answer the questions of the study, it was found that the average performance of the groups was control and experimental for the pre-measurement of the critical thinking scale (10.55) and (10.75), respectively, while the average performance of the groups was on the dimensional measurement (11.67) and (17.78), respectively. To examine the differences in each of the arithmetic averages, the researcher used the analysis of covariance (ANCOVA) for performance for the total score of the critical thinking scale. The average performance of the control and experimental groups in the pre-evaluation of the creative thinking test was (71.68) and (70.35) respectively, and the average performance of the control and experimental groups in the dimensional measurement was (72.12) and (129.65) respectively, and the common multiple covariance analysis (MANCOVA) was used to test the differences in the arithmetic mean of performance in the sub-dimensions of the creative thinking test. It was found that there were statistically significant differences in the arithmetic mean in the level of significance (α = 0.05), and the difference was in favor of the experimental group in critical and creative thinking skills, which confirms that the program has a significant impact on the development of creative and critical thinking skills.