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This study aimed to identify the constructs related to customer experience that underpin e-commerce, as well as their interconnections, to develop a comprehensive conceptual model based on theories-in-use. A quantitative approach was employed through a survey of 441 respondents. Data analysis was conducted using partial least squares structural equation modeling. The research findings revealed that there are a total of 11 constructs: customer experience, customer satisfaction, customer loyalty, word-of-mouth, trust, perceived risk, security and privacy, web content, perceived price, perceived value, and service quality. Furthermore, twelve relationships were established between these constructs, which led to the development of a holistic conceptual model. The identified constructs and the relationships between them are hierarchized, which has practical implications for businesses. It allows them to concentrate on operational activities and formulate and implement strategies that are valued by consumers and supported by empirical evidence. The originality and value of this research lie in the conception and development of a comprehensive e-commerce model, which includes eleven constructs and twelve relationships. It also highlights the pivotal role of the customer experience.

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The authors present the Effective Solution Based Learning, which derives from Project-Based Learning but is applied to real problems in order to build effective solutions. Emphasis is placed on the effectiveness on the assumption that encourages greater involvement and commitment on the part of students, ensuring a context that is intended to be more attractive and close to what will be their professional reality. Effectiveness is measured by the functionalities considered essential for solving the problem, but also the viability of the solution to be effectively used after the end of development, without the need for continued student involvement. A brief summary of the methodology is presented in the paper, emphasizing, in particular, the criteria and requirements for choosing project themes. The results of the first year of evaluation are also presented in the paper, pointing to a clear reduction in dropouts and an increase in approved students. Considering that this is achieved with more demand and work, it is arguable that it also resulted in students with more knowledge and skills. The authors also include in this paper the results of a survey done to the students, after the project conclusion, to assess the students’ perspective on this methodology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

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Several classes of quantum circuits have been shown to provide a quantum computational advantage under certain assumptions. The study of ever more restricted classes of quantum circuits capable of quantum advantage is motivated by possible simplifications in experimental demonstrations. In this paper we study the efficiency of measurement-based quantum computation with a completely flat temporal ordering of measurements. We propose new constructions for the deterministic computation of arbitrary Boolean functions, drawing on correlations present in multi-qubit Greenberger, Horne, and Zeilinger (GHZ) states. We characterize the necessary measurement complexity using the Clifford hierarchy, and also generally decrease the number of qubits needed with respect to previous constructions. In particular, we identify a family of Boolean functions for which deterministic evaluation using non-adaptive MBQC is possible, featuring quantum advantage in width and number of gates with respect to classical circuits.

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The education sector faces unprecedented challenges, from rapidly evolving technologies to diverse learner needs, placing immense pressure on educators to adapt and innovate. Traditional teaching methods need help to keep pace with the demands of modern education, leading to gaps in personalized learning and student engagement. Ethical concerns surrounding AI integration in education remain a significant hurdle, requiring careful navigation and responsible implementation. Integrating Artificial Intelligence in Education: Enhancing Teaching Practices for Future Learning offers a comprehensive solution by exploring how AI can address these challenges and revolutionize education. Through a collection of insightful contributions, it provides practical strategies for integrating AI into teaching practices, empowering educators to personalize learning experiences and enhance student engagement. By examining AI ethics and responsible education, the book equips educators with the knowledge needed to navigate the ethical complexities of AI integration. This book is a practical guide for educators, researchers, policymakers, and practitioners who want to harness the potential of AI in education. It provides a roadmap for leveraging AI technologies to create adaptive learning environments, automate classroom tasks, and enhance instructional design. With a strong focus on practical insights and ethical considerations, this book is a valuable resource for anyone looking to navigate the intersection of AI and education. © 2025 by IGI Global. All rights reserved.

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