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This study concerned aspiring educational leaders’ problem-solving skill development, specifically through classroom instruction with real-world scenarios. Professional educators obtaining an advanced degree in educational administration at a public university were surveyed in the fall and spring about their problem-solving abilities. Participants were also asked to respond to real-world principal scenarios. Focus group interviews were conducted in the spring. Results indicated that participants’ confidence in their problem-solving abilities did improve, though their ability to address the real-world problems did not improve significantly. Participants identified the value of learning from real-world scenarios and professors who had experience as administrators, and they also recognized the importance of learning from one another during discussions of the scenarios. Participants indicated that they still needed experience working in actual administrative contexts.

This study explored students' experiences of creative problem-solving using a design thinking approach in higher education, mainly focusing on the importance of empathetic approach in the problem identification and definition phase.

The authors used a descriptive qualitative research design and thematic analysis, in which observation and 27 semi-structured reports were used to reveal the impact of design thinking on undergraduate students' experience of creative problem-solving.

The authors found multiple themes in students' responses concerning problem identification and definition in design thinking, which could be described as a systematic innovation process. Four major themes were identified. They included identifying and defining problems in a real-world context, empathizing with people from the target beneficiary group as a process of problem identification and definition, working with a team to expand the empathizing view, and perceiving the need for deep exploration in the empathetic process and defining a problem.

This study examined the perceived role of empathy in students' creative problem-solving process. However, the main limitation of this study was the small sample size, which can limit the generalizability of the results of the study. Nonetheless, this study provides valuable insights into understanding the role of empathy and problem identification as an essential process in creative problem-solving.

It is worthwhile to integrate design thinking as an effective teaching and learning strategy in university education, particularly for fostering empathy and creative problem-solving skills in students. Among the processes of design thinking, empathy is critical in the problem identification and definition phase.

This study adds to existing knowledge by examining the role and ways of perceiving real-world problems in a human-centered mindset in university programs.

The purpose of this paper is to analyse which are the active learning methodologies, which had better contribute to acquiring competences for sustainable development (SD) in higher education.

Cluster analysis is used to define 252 students’ skills patterns and their perception of the different active learning methodologies conducted in class to promote SD.

The results show how different learning methodologies enhance SD, the quality assessment perception of students regarding the methodologies used in class and present real-world experiences, problem-based learning and case studies as the active learning methodologies that had better promote SD.

The limitations of the study are that the results obtained are particular for one university and are not generalizable to other institutions and could vary depending on the degree and year of study of the group of student participants.

The research proposes to introduce active learning methodologies in general and real-world experiences, problem-based learning and case studies in particular, in education for sustainable development.

These research findings could be used for those interested in applying active learning methodologies to foster the acquisition of SD competences to promote the 2030 Agenda for sustainable development goals.

This research study aims to shed light on the nascent stage of the relationship between pedagogical approaches used in higher education to develop sustainability competences.

The purpose of this paper is to explore students' mathematization through a flow of lessons using the Thailand Lesson Study Incorporated Open Approach (TLSOA) to improve the excellence of instruction.

A total of 16 Grade 4 students were selected because they have been taught using the TLSOA model for four years. Six Lesson Study (LS) team members participated, and two instruments were utilized, namely student worksheets, and field notes. An ethnographic research design was employed.

The results revealed that the students' mathematical ideas were developed from the real world to the mathematical world through a flow of lessons based on the four phases of the Open Approach (OA).

Firstly, the students demonstrated their ability to represent the real world independently when the teacher posed an open-ended problem. Secondly, the students demonstrated their ability to use semi-concrete aids to develop their ideas while self-learning. Thirdly, the students showed how they developed their ideas to solve the open-ended problem using relevant objects or related concepts as part of a whole-class discussion and comparison exercise. Finally, the students demonstrated their abilities to represent the mathematical world using numbers and symbols to communicate their ideas when they were required to make a summary by connecting their mathematical ideas.

This study adds new insight to the literature on students' mathematization using the TLSOA model.

The purpose of this paper is to present the results of a classroom assessment aimed at determining the extent to which five key sustainability competencies develop in students during an introductory transdisciplinary sustainability course. University sustainability programs intend to provide integrated education that fosters the key competencies students need to solve real-world sustainability problems. Translating sustainability competencies into effective pedagogical practice in integrated academic programs is not straightforward. This work builds on a previous study by both expanding the competencies evaluated and considering additional demographic characteristics.

The paper summarizes previously identified key sustainability competencies and describes teaching methodologies used to foster these competencies in students. Development of competencies in students during a semester-long course is assessed using a pre-/post-test based on two case studies. The implications of the findings for teaching practice and overall program structure are discussed.

Based on the assessment methods used here, four of the five sustainability competencies evaluated in this study developed differently in students according to gender, disciplinary affiliation and age. Females improved interpersonal competence more than males. Systems thinking competence improved for students associated with the three disciplinary affiliations considered in this study: sustainability major, sustainability minor and business major. Anticipatory competence improved for sustainability and business majors only, but not for students minoring in sustainability and majoring in other disciplines. Finally, normative competence improved for younger students only.

Insights for teaching practice and overall program structure are based on assessment of one introductory transdisciplinary sustainability course. Much additional work is needed to draw strong conclusions about general teaching practices and program structure for sustainability education. This study provides a flexible and field-tested rubric for further evaluative work in other sustainability courses or degree programs.

Universities incorporate sustainability into their undergraduate curricula in many ways, ranging from certificates to entire degree programs focused on sustainability. The results of this study suggest that educators pay attention to gender diversity, classroom teaching practices, disciplinary perspectives and student attitudes and developmental stages as they figure out how to make sustainability part of undergraduate education. This information may help create more effective sustainability courses and academic programs, which may maintain the viability of current sustainability programs and promote the institutionalization of sustainability in higher education.

This research contributes to undergraduate sustainability education by providing insight into how sustainability education might thoughtfully be integrated into academic programs. It also offers an assessment approach for use by other sustainability educators to evaluate effectiveness of teaching practice and overall program structure based on five key sustainability competencies commonly cited in the literature.

This paper aims to showcase and critically review the value of selected pedagogies in which real-world engagements are used to enhance sustainability learning in an open, distance and e-learning (ODeL) context in the Global South. The paper considers opportunities, issues, alternatives and implementation guidelines.

The School of Ecological and Human Sustainability (University of South Africa) serves as case study, with blended and fully online learning used as examples of pedagogies. The assessment of these pedagogies uses examples of learning activities and exercises, critical reflections on feedback by lecturers and students and consideration against criteria for real-world learning.

The experiences showcased illustrate that despite challenges in ODeL, real-world engagements can be used successful as pedagogy for sustainability learning in the Global South context. Limited access to ICTs can be mitigated through mobile technologies and free and open software applications, as illustrated by the examples in this paper.

The case study approach and qualitative methodology present limitations, with focus on only two examples. However, significant depth is achieved with the assessment of these examples, while the recommendations and lessons learnt can be applied in other contexts, thus expanding on the knowledge and experience in this field.

This paper showcases innovative approaches to incorporate real-world engagements for sustainability learning in ODeL. Application of real-world engagements in ODeL in the Global South context is original and addresses the need for teaching and learning strategies responding to the digital divide and contributing to expand access to higher education and an Afrocentric discourse to best practice.

The conceptual framework of mathematical modeling (e.g., Lesh & Doerr, 2003) is a vital area in mathematics education research, and its implementation has potential for deeply involving children in integrated and meaningful learning. In mathematical modeling learners are active agents in content-integrated, real-world problem solving. This emphasis on integrating multiple content areas to answer big questions, the pursuit of mathematical modeling, descends from Dewey’s work. We present the definition, principles, and design of modeling practices for readers who may be familiar with early childhood curriculum but less so with using modeling for learning. We explore the application of mathematical modeling to early childhood classrooms and its compatibility with early childhood pedagogies and philosophies. Young children may often be underestimated, assumed to be unable to pose big questions that can be answered through activity, experience, and data; but we discuss how young children can be engaged in problems through mathematical modeling. Finally, as preservice teacher educators, we discuss preparing preservice and in-service teachers for modeling in their classrooms. We offer examples and guidance for early childhood teachers to engage in authentic practice – meeting children where their interests are and creating integrated problem-solving experiences.

The purpose of this paper is to conduct a comprehensive review of the noteworthy contributions made in the area of the Feedforward neural network (FNN) to improve its generalization performance and convergence rate (learning speed); to identify new research directions that will help researchers to design new, simple and efficient algorithms and users to implement optimal designed FNNs for solving complex problems; and to explore the wide applications of the reviewed FNN algorithms in solving real-world management, engineering and health sciences problems and demonstrate the advantages of these algorithms in enhancing decision making for practical operations.

The FNN has gained much popularity during the last three decades. Therefore, the authors have focused on algorithms proposed during the last three decades. The selected databases were searched with popular keywords: “generalization performance,” “learning rate,” “overfitting” and “fixed and cascade architecture.” Combinations of the keywords were also used to get more relevant results. Duplicated articles in the databases, non-English language, and matched keywords but out of scope, were discarded.

The authors studied a total of 80 articles and classified them into six categories according to the nature of the algorithms proposed in these articles which aimed at improving the generalization performance and convergence rate of FNNs. To review and discuss all the six categories would result in the paper being too long. Therefore, the authors further divided the six categories into two parts (i.e. Part I and Part II). The current paper, Part I, investigates two categories that focus on learning algorithms (i.e. gradient learning algorithms for network training and gradient-free learning algorithms). Furthermore, the remaining four categories which mainly explore optimization techniques are reviewed in Part II (i.e. optimization algorithms for learning rate, bias and variance (underfitting and overfitting) minimization algorithms, constructive topology neural networks and metaheuristic search algorithms). For the sake of simplicity, the paper entitled “Machine learning facilitated business intelligence (Part II): Neural networks optimization techniques and applications” is referred to as Part II. This results in a division of 80 articles into 38 and 42 for Part I and Part II, respectively. After discussing the FNN algorithms with their technical merits and limitations, along with real-world management, engineering and health sciences applications for each individual category, the authors suggest seven (three in Part I and other four in Part II) new future directions which can contribute to strengthening the literature.

The FNN contributions are numerous and cannot be covered in a single study. The authors remain focused on learning algorithms and optimization techniques, along with their application to real-world problems, proposing to improve the generalization performance and convergence rate of FNNs with the characteristics of computing optimal hyperparameters, connection weights, hidden units, selecting an appropriate network architecture rather than trial and error approaches and avoiding overfitting.

This study will help researchers and practitioners to deeply understand the existing algorithms merits of FNNs with limitations, research gaps, application areas and changes in research studies in the last three decades. Moreover, the user, after having in-depth knowledge by understanding the applications of algorithms in the real world, may apply appropriate FNN algorithms to get optimal results in the shortest possible time, with less effort, for their specific application area problems.

The existing literature surveys are limited in scope due to comparative study of the algorithms, studying algorithms application areas and focusing on specific techniques. This implies that the existing surveys are focused on studying some specific algorithms or their applications (e.g. pruning algorithms, constructive algorithms, etc.). In this work, the authors propose a comprehensive review of different categories, along with their real-world applications, that may affect FNN generalization performance and convergence rate. This makes the classification scheme novel and significant.

The purpose of this study is to identify and assess collaborative problem solving (CPS) behaviors in elementary students in science, technology, engineering, arts/humanities and mathematics (STEAM)-related making and to garner students perspectives. We offer a valid way for researchers to understand collaborative processes and for educators to create opportunities for collaboration. Additionally, the feedback from the assessment offers students a way to reflect on their CPS skills.

This qualitative study evaluated 52 elementary students’ CPS skills using co-measure, a validated rubric assessing students’ CPS when working in STEAM-related makerspace activities. Students worked in collaborative groups to “make” artifacts when solving a problem posed by their teacher. They were assessed using co-measure’s four dimensions: peer interactions, positive communication, inquiry rich/multiple paths and transdisciplinary approaches and scored via each dimension’s associated attributes. Student interviews provided their perspectives on CPS.

A majority of students scored in the acceptable or proficient range in the social dimensions of peer interactions and positive communication. Students scored slightly lower on the cognitive dimensions of inquiry rich/multiple paths and markedly lower on transdisciplinary approaches when collaborating. Findings suggest to increase CPS skills, teachers might develop “making” activities fostering greater inquiry and model ways to strategize and verify information, approach the problem drawing on student interest and prior knowledge and collaboratively use tools, materials and methods that mimic the real world when problem-solving.

Much of the current research on assessing CPS during making is in the early stages of considering appropriate assessment approaches, especially in schools. To expand this literature the study includes elementary students between the ages of 6-10, the focus is on assessing their collaboration using an observational rubric. The authors use preliminary findings from young children’s perspectives on making to position the future work.

The purpose of this paper is to present the results of a classroom assessment aimed at determining the extent to which key sustainability competencies develop in students during an introductory transdisciplinary sustainability course.

The paper summarizes three previously identified key sustainability competencies and describes teaching methodologies used in the introductory course described here to foster these competencies in students. The development of these competencies over the course of one semester is assessed using a pre‐/post‐test based on case analyses. The implications of these findings for academic sustainability programs are discussed.

Based on the assessment used here, the sustainability competencies developed differently in students with different disciplinary affiliations as a result of the introductory sustainability course. Business majors did not improve any of the key competencies, sustainability majors improved systems thinking competence only, and sustainability minors who were majoring in another traditional discipline improved all competencies.

The paper contributes to undergraduate sustainability education by shedding light on how sustainability might best be incorporated into specific academic programs. This information may help create more effective sustainability courses and academic programs, which may maintain the viability of current sustainability programs and promote the institutionalization of sustainability in higher education in general.