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This article presents principles and practical guidelines for how managers can succeed in growing the intelligence of their organizations by harnessing the complementary strengths of humans and artificial intelligence (AI). Organizational intelligence is the ability of collectives of intelligent human and digital actors to solve problems and adapt. Six principles for human-AI collaboration in organizations are explored—addition, relevance, substitution, diversity, collaboration, and explanation—and how they play out in leading organizations is discussed. Finally, practical guidelines are outlined for how leaders can enable their organizations to successfully make the change. [ABSTRACT FROM AUTHOR]

Background: Health professionals need to be prepared for interdisciplinary research collaborations aimed at the development and implementation of medical technology. Expertise is highly domain-specific, and learned by being immersed in professional practice. Therefore, the approaches and results from one domain are not easily understood by experts from another domain. Interdisciplinary collaboration in medical research faces not only institutional, but also cognitive and epistemological barriers. This is one of the reasons why interdisciplinary and interprofessional research collaborations are so difficult. To explain the cognitive and epistemological barriers, we introduce the concept of disciplinary perspectives. Making explicit the disciplinary perspectives of experts participating in interdisciplinary collaborations helps to clarify the specific approach of each expert, thereby improving mutual understanding. Method: We developed a framework for making disciplinary perspectives of experts participating in an interdisciplinary research collaboration explicit. The applicability of the framework has been tested in an interdisciplinary medical research project aimed at the development and implementation of diffusion MRI for the diagnosis of kidney cancer, where the framework was applied to analyse and articulate the disciplinary perspectives of the experts involved. Results: We propose a general framework, in the form of a series of questions, based on new insights from the philosophy of science into the epistemology of interdisciplinary research. We explain these philosophical underpinnings in order to clarify the cognitive and epistemological barriers of interdisciplinary research collaborations. In addition, we present a detailed example of the use of the framework in a concrete interdisciplinary research project aimed at developing a diagnostic technology. This case study demonstrates the applicability of the framework in interdisciplinary research projects. Conclusion: Interdisciplinary research collaborations can be facilitated by a better understanding of how an expert's disciplinary perspectives enables and guides their specific approach to a problem. Implicit disciplinary perspectives can and should be made explicit in a systematic manner, for which we propose a framework that can be used by disciplinary experts participating in interdisciplinary research project. Furthermore, we suggest that educators can explore how the framework and philosophical underpinning can be implemented in HPE to support the development of students' interdisciplinary expertise. [ABSTRACT FROM AUTHOR]

Previous research has shown the importance of conducting early interventions in mathematics in disadvantaged children. Solving arithmetical word problems is a field in which children particularly fail. In this study, preschoolers from disadvantaged French public schools (n = 101; Mage = 5–6) were taught strategies for using fingers to solve arithmetic word problems and compared with a control group. The intervention consisted of collective rituals based on learning finger patterns and 7 sessions spread over 4 weeks, for about 20 min, focusing on explaining how to use the fingers to solve problems. The results showed that the intervention has a significant post-test impact on the targeted transformation problem-solving skill and that children with lower performances in problem-solving at the pre-test benefited more from the intervention. The intervention also indirectly benefited the other problem-solving skills. However, there was no intervention effect on the arithmetic addition task. Our research highlights that an intervention focused on the explicit teaching of finger strategies for problem-solving can be successfully implemented into ecological learning contexts, especially in disadvantaged areas. [ABSTRACT FROM AUTHOR]

In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with different types of cognitive load and learner performance. University students (n = 254) were randomly assigned to one of three conditions: an explicit instruction first sequence, an unsupported problem-solving first sequence, and a supported problem-solving first sequence. Results show that intrinsic load did not differ across the three conditions, extraneous load was lowest in the explicit instruction first and supported problem-solving first conditions, germane load was highest in the supported problem-solving first condition, and performance was highest in the explicit instruction first condition. Providing insight into specific ways instructional sequencing and problem-solving support can reduce cognitive load; results suggest that either problem-solving activities need support or explicit instruction is needed before problem-solving. [ABSTRACT FROM AUTHOR]

The present study was designed to understand and optimize self-assessment accuracy in cognitive skill acquisition through example-based learning. We focused on the initial problem-solving phase, which follows after studying worked examples. At the end of this phase, it is important that learners are aware whether they have already understood the solution procedure. In Experiment 1, we tested whether self-assessment accuracy depended on whether learners were prompted to infer their self-assessments from explanation-based cues (ability to explain the problems’ solutions) or from performance-based cues (problem-solving performance) and on whether learners were informed about the to-be-monitored cue before or only after the problem-solving phase. We found that performance-based cues resulted in better self-assessment accuracy and that informing learners about the to-be-monitored cue before problem-solving enhanced self-assessment accuracy. In Experiment 2, we again tested whether self-assessment accuracy depended on whether learners were prompted to infer their self-assessments from explanation- or performance-based cues. We furthermore varied whether learners received instruction on criteria for interpreting the cues and whether learners were prompted to self-explain during problem-solving. When learners received no further instructional support, like in Experiment 1, performance-based cues yielded better self-assessment accuracy. Only when learners who were prompted to infer their self-assessments from explanation-based cues received both cue criteria instruction and prompts to engage in self-explaining during problem-solving did they show similar self-assessment accuracy as learners who utilized performance-based cues. Overall, we conclude that it is more efficient to prompt learners to monitor performance-based rather than explanation-based cues in the initial problem-solving phase. [ABSTRACT FROM AUTHOR]

Motor experiences shape cognitive development in infancy, with the prone position being one such crucial motor experience in the first 6 months of life. Although the motor benefits of the prone position are well‐documented, its influence on early cognitive abilities remains insufficiently explored. This study quantified the relationship between prone motor skills and motor‐based problem‐solving abilities in 48 full‐term and preterm infants aged 3–6 months. Prone skills were assessed using the Alberta Infant Motor Scale's prone domain. The Assessment of Problem‐Solving in Play was utilized to measure motor‐based problem‐solving by observing how motor actions were used to solve toys. Advanced prone motor skills were correlated with an increase in sophisticated exploration skills and a concurrent decline in lower order exploration skills in all infants, with correlations being stronger in preterm infants. Notably, a 1‐point increase in prone skills was associated with a 1.3‐point increase in total motor‐based problem‐solving abilities in all infants. Our findings provide preliminary evidence for the contribution of prone play to cognitive development in infants, prompting considerations for assessment and intervention strategies. Further research is needed to ascertain if the delayed acquisition of prone motor skills is indicative of poor early problem‐solving abilities in preterm infants. [ABSTRACT FROM AUTHOR]

AbstractAccording to cognitive load theory, an expert learner can access prior knowledge to interpret a diagram with minimum effort. A novice learner who lacks prior knowledge, in contrast, would experience a high level of cognitive load when processing a diagram, which would interfere with learning. On learning to solve percentage problems, we investigated the effect of approach (non-algebra vs. algebra), with and without diagram support for two levels of learner expertise. Participants were 218 Asian students whose mean age was 15.00 (SD = 0.18). Contrary to our hypothesis, the presence or absence of a diagram may bore little, if any, benefit for students who were more knowledgeable. Considering two levels of learner expertise together, as hypothesized, performance outcomes favoring more knowledgeable students were greater for the unitary-pictorial approach than the equation-pictorial approach. Interestingly, the impact of a diagram was more pronounced for more knowledgeable students; however, with relevant prior algebra knowledge, the presence of a diagram (e.g., equation-pictorial approach) can also be helpful for less knowledgeable students. Overall, then, our research undertaking has yielded important implications for teaching and research purposes. [ABSTRACT FROM AUTHOR]

The aim of this study was to examine the validity and reliability of the Higher-order Thinking Skills Assessment Scale in Turkish context. The forward translation method was used in the adaptation process of the scale. The sample of this study, conducted using the survey method, consisted of 819 teacher candidates. Data were collected with both faceto- face and online forms. The data were analyzed using exploratory factor analysis and confirmatory factor analysis with SPSS 21.0 and AMOS 21 softwares. As a result of the study, a valid and reliable measurement tool that can be used to measure teacher candidates' higher-order thinking skills was obtained. The original scale consists of 4 factors and 14 sub-dimensions, while the adaptation study to Turkish resulted in 4 factors. In this context, it is recommended that future studies be planned to include a larger and more heterogeneous sample. [ABSTRACT FROM AUTHOR]

Mathematical problem-solving is a crucial ability that needs to be developed to prepare students to face the challenges of the 21st century. The aim of this research is to describe the mathematical problem-solving abilities of high school students in the Setting Up Equations topic within the Cambridge Curriculum schools. This research used descriptive qualitative approach. The sample for this research was taken using purposive sampling technique, consisting of 23 students from the 10th grade of Semesta Bilingual School Semarang. Data were obtained through test technique, then scoring was conducted to gather percentages at each stage, followed by an averaging process for the final interpretation of students’ mathematical problem-solving abilities. The instrument used has been well validated and consists of 5 contextual questions in the form of essay questions. The results obtained were that 74% of students understand the problem, 67% can devise a plan, 78% can carry out the plan, and 4% can look back. The average final percentage of students’ abilities was 56%, categorized as medium. It is concluded that students’ mathematical problem-solving abilities are still considered medium, indicating the need for improvement efforts. [ABSTRACT FROM AUTHOR]

Solving problems with insight culminates in an "Aha! moment": a feeling of confidence and pleasure. In daily life, insights are often followed by important decisions, such as deciding what to do with a new idea. Here, we investigated whether having an Aha! moment affects subsequent decision-making. Because Aha! moments tend to elicit positive affect, which is generally associated with an increased risk-taking tendency, we hypothesized that people would favor a monetary payout with more upside despite greater uncertainty after solving a problem with insight. Participants were asked to solve verbal puzzles and report whether they solved them with insight or without insight. After each puzzle, they chose between two bonuses: a fixed payout or a risk payout with 50% chance of receiving a high or a low payout. Participants were more likely to choose the risk payout after they solved with insight compared to without, suggesting a temporarily higher risk preference. The study provided pre-liminary evidence of a carryover effect - the impact of an Aha! moment on the subsequent risk choice - that can have implications in everyday decision-making. [ABSTRACT FROM AUTHOR]

Understanding time investment while solving problems is central to metacognitive research. By the Diminishing Criterion Model (DCM), time regulation is guided by two stopping rules: a confidence criterion that drops as time is invested in each problem and the maximum time to be invested. This combination generates curved confidence–time associations. We compared the belief that intelligence is malleable, a growth mindset, to the belief that intelligence is fixed, and to neutral control groups. We hypothesized that a growth mindset leads people to selectively invest time in problems carrying the hope of improvement. This extra time makes the curved DCM pattern curvier. In two experiments, participants primed with growth, fixed, or control mindsets solved analogies (Experiment 1) and compound remote associates (Experiment 2). As expected, in both experiments a growth mindset exhibited a curvier confidence–time pattern, while the fixed mindset and control groups replicated previous confidence–time associations. Most additional time was invested in problems with intermediate difficulty levels, suggesting strategic time allocation. The study offers useful measures for delving into factors that affect thinking time allocation. [ABSTRACT FROM AUTHOR]

Given early childhood is a critical period for acquiring the twenty-first-century skills, the present study aimed to examine the effect of design-oriented STEM activities on the twenty-first-century skills of preschool children in line with the experimental design. A mixed factorial analysis of variance (ANOVA) of 3 (time: pre-test, post-test and persistence) × 2 (experimental group and control group) was used to test the hypothesis. The Bayesian factor analysis for mixed data was performed to identify the effects of design-oriented STEM education on differences between groups as well as within the group. The study results indicated that design-oriented STEM activities permanently increased the total scores of the children in the experimental group as regards the twenty-first-century skills. It also appeared that design-oriented STEM activities permanently enhanced all sub-dimensions of life and career skills; learning and innovation skills; and information, media and technology skills. In the end, a number of recommendations were presented in accordance with the results of the study. [ABSTRACT FROM AUTHOR]

Mathematics is a fundamental subject with wide-reaching importance in education, providing students with the tools to apply mathematical principles in diverse contexts. This study examines the abilities of 60 pre-service mathematics teachers (PSTs) in identifying content and context within mathematical word problems. Utilizing a case study approach, the study employed the mathematics word problems test and the content and context questionnaire. The findings reveal that PSTs generally struggle with error detection and content comprehension in mathematical word problems, as demonstrated by their inability to recognize inaccuracies in two of three test questions. The failure of PSTs to identify errors in mathematical word problems often stems from their tendency to rely solely on the solutions they obtain, without first understanding the entire question presented. In essence, they may focus on finding a solution rather than critically evaluating the problem, which can lead to the oversight of errors or inaccuracies within the problem statement itself. This study emphasizes the need for PSTs to grasp mathematical concepts and contextualize them in everyday life scenarios. Challenges were observed in linking computational results to real-world contexts. Thus, the study calls for future research in pre-service teacher education to explore strategies for enhancing critical thinking, error detection, and the integration of practical context in mathematical problemsolving. Furthermore, the study suggests that assessing the ability of PSTs to formulate problem-solving questions evaluates their capacity to answer questions and their ability to construct questions that can enhance students’ cognitive abilities. [ABSTRACT FROM AUTHOR]

Mathematics education is looking for innovative methods to foster problemsolving skills in students. This research develops a problem-solving assessment using GeoGebra Classroom, a versatile interactive mathematics software, to revolutionize mathematics formative assessment and improve students' problem-solving skills. This study adopted the analysis, design, development, implementation, and evaluation (ADDIE) instructional design model stages. The design stage created a comprehensive assessment blueprint, incorporating GeoGebra Classroom functions to create interactive problem-solving tasks. Data analysis used both quantitative and qualitative approaches. Qualitative data consisted of feedback and suggestions from assessment experts, mathematicians, and GeoGebra specialists. Meanwhile, quantitative data included expert scores and cognitive tests that measured students' problem-solving abilities. A cognitive post-test was conducted to measure the progress of students' understanding while using the assessment product. The results of the content validity analysis, assessed using Aiken's V, ranged from 0.85 to 0.92, indicating a high level of validity for the problem-solving skills assessment in terms of content and construction. Some revisions were made to the design of the developed media to make it more interactive for students. These findings suggest that we can further use problem-solving questions integrated with GeoGebra Classroom to uncover the problem-solving skills of junior high school students. [ABSTRACT FROM AUTHOR]

This research was carried out to examine the serial mediation role of mathematics self-efficacy and metacognition for problem-solving in the effect of reading comprehension on problem-solving. The relational research model, one of the quantitative research designs, was used in the study. A total of 699 middle school students studying in official public schools in Turkey participated in the study. SPSS and PROCESS macros were used in the analysis of the data of the study. The study revealed that reading comprehension, mathematics self-efficacy, and metacognition were related to problem-solving. The result of the study showed that mathematics self-efficacy and metacognition significantly mediate the relationship between reading comprehension and problem-solving. [ABSTRACT FROM AUTHOR]

Research has shown that students' learning gains in mathematics are greater when they work with problems rather than routine tasks. These learning gains from problem-solving activities may be enhanced by providing feedback that does not give away the solutions to the problems, but helps students construct their solution methods themselves and anchor their reasoning in intrinsic properties of the mathematical components involved in the reasoning. However, in order to use feedback, students would need to perceive it as useful, and not all students may find such feedback useful. In this study, we investigate how students' ability and motivational beliefs affect how useful they perceive feedback aimed at supporting mathematical reasoning to be. In the study, students worked with mathematical problems and received metacognitive and heuristic feedback when they needed help. We used structural equation modeling (SEM) to analyze the effects. The results show that students' mastery goals had a direct effect on the perceived usefulness of the feedback, but no such effects were found for students' national test grades, self-efficacy beliefs, performance goals, or intrinsic or extrinsic forms of motivation. The proportion of successful use of feedback did not mediate the effects. [ABSTRACT FROM AUTHOR]

AbstractIn recent years, the integration of programming education into school curricula has reemerged, acknowledging its importance and potential to enhance critical cognitive abilities among students. This systematic review delves into the influence of programming education on higher-order executive functions (EFs), including problem-solving, reasoning, and planning, in school-aged children. The systematic literature search identified 18 studies meeting inclusion criteria. Of these, 14 studies showed significant positive effects of coding education on EFs, particularly in problem-solving and planning. However, limitations such as the absence of randomized control trials and age-related clustering of skills underscore the need for more robust research to ascertain the impact of coding education on EFs. [ABSTRACT FROM AUTHOR]

Invention and innovation education and its associated practices (e.g., problem-finding, problem-defining, learning from failure, iterative problem-solving, innovation-focused curricula, collaboration, and maker spaces) are moving from the periphery to the center of education at an ever-increasing pace. Although the research and literature on invention and innovation education, collectively termed as Invention Education (IvE) in this research, is on the rise, to our knowledge no attempt has been made to systematically review the literature available on the topic. To address this gap, we identify, collect, and systematically review scientific literature on IvE. We conduct Bibliometrix-based and targeted analysis to identify the topics, sources, authors, and articles most cited, as well as prominent countries publishing IvE literature. Another objective of this research is to uncover the intellectual, conceptual, and social structures of IvE. A third objective is to identify the progress made and the challenges being faced in furthering IvE and propose future directions. Our review shows that the field has seen substantial growth, especially in recent years particularly in the United States. Research shows IvE’s importance in nurturing a well-rounded, innovative, and skilled future workforce, emphasizing creativity, critical thinking, collaboration, adaptability, and problem-solving skills. Although with a plethora of curricula and K-20 programs in United States, followed by South Korea, and China, IvE lacks unifying conceptualization, definitions and frameworks. The lack of commonly accepted terms and theoretical bases, and difficulties integrating invention into STEM coursework, are compounded by barriers like resource limitations, curriculum constraints, and the need for teacher training and support. The review underscores the need for IvE to address and dismantle inventor stereotypes and cultivate a diverse and inclusive generation of innovators. It points to the impact of gender and stereotypes on participation in IvE programs and the importance of promoting equity and access to IvE opportunities for all students. The article concludes with a discussion of challenges and future research directions to address them. [ABSTRACT FROM AUTHOR]

This qualitative research study investigates the experiences of Grade 12 STEM students in inquiry-based learning in physics at a private high school in Central Mindanao. The study aims to understand the challenges and benefits of this teaching approach, considering factors such as gender, academic performance, and prior exposure to inquirybased learning (IBL). The study involved ten students who were selected through purposive sampling. The data were collected through one-on-one interviews. The findings reveal that the most challenging experience students faced in inquiry-based learning are problemsolving, lecture and laboratory activities, and theoretical concepts. Meanwhile, the benefits of IBL include collaborative learning, interactive discussions, and enhanced interest in learning. Most students preferred hands-on learning, while few preferred auditory and visual learning. The study suggests that development in IBL can be made based on students' challenges and learning styles, and the benefits that they can get from the approach in a supportive learning environment. [ABSTRACT FROM AUTHOR]

To justify the individuality of design as a discipline, researchers repeatedly separated it from other disciplines while underscoring the integration of design in those disciplines. We resolve this apparent paradox by recognizing that people have knowledge, abilities, and tasks that can be attributed to several disciplines. We emphasize a collaborative effect-centered understanding and execution of problem-solving rather than an individual and design-centered one to enable each person to perform to the best of their abilities. Therefore, we introduce the newly developed "effect method," which, by researching defined interrelations between subjects (terms considered as single entities) and systems (terms considered as multipart entities), empowers people to identify and understand relevant problems and solution approaches. The interrelations are defined by effects to be prevented (problem) or achieved (solution). Based on this, the effect method enables the development of system-compatible solution concepts. As a result, each person's creativity, knowledge, and best abilities can contribute to the collaborative development of relevant solutions. [ABSTRACT FROM AUTHOR]

Studies have shown that learning mathematics through programming can be complex and that the programming itself might even hamper students' learning. However, few studies have focused on the role of the teacher and the teacher-student interaction that aims to support students' learning when using programming. The present study examines a didactic design in which a teacher uses well-prepared questions and suggestions that focus on students' reasoning to solve mathematical problems using Scratch, a block-based programming environment. Forty students, 10–11 years old, solved a geometry problem using Scratch supported by their teacher. The students' screen activities and teacher-student interactions were recorded. The results indicate that well-prepared general and task-specific questions targeting students' creative reasoning can help to overcome some of the complexities of learning mathematics while programming. The study furthermore shows that when students have sufficient programming skills, Scratch could even have the potential to support their reasoning and at the same time guide the teacher to give timely feedback. [ABSTRACT FROM AUTHOR]

Cognition helps wildlife exploit novel resources and environments. Raccoons (Procyon lotor) have successfully adapted to human presence, in part due to their cognitive abilities. However, interactions between humans and wildlife can create conflict. A better understanding of the raccoon's behavioral flexibility and learning ability could mitigate some conflicts. Our objective was to evaluate wild raccoons learning in contexts varying in terms of exposure to humans (recreational and preservation zoning within protected areas) and task difficulty. Learning can be evaluated over multiple exposures to a cognitive task. Across three years of experiment, we employed 2 food extraction tasks to gauge the change in problem-solving performance over trials. This assessment considered the success probability (the number of successful trials divided by the total number of trials) and the time taken to solve the puzzles. We also looked at the effects of 2 behavioral traits, exploratory diversity and persistence. We found strong evidence for learning over consecutive trials in terms of improved success probability. Improvement in terms of success probability and solving time was more pronounced with the initially easier task. We detected an increase in success probability over trials only in the recreation zones, and there was no evidence of an effect of behavioral traits. The improved performance attributed to learning was also maintained over consecutive years. We provide additional evidence that raccoons can learn how to solve a problem, resulting in a more effective solution in consecutive trials. Finally, we consider the management implications of dealing with raccoons accessing anthropogenic resources. [ABSTRACT FROM AUTHOR]

Any ball or small stone that is thrown follows a certain path. Many of us have experienced throwing objects towards a specific goal many times. If we throw a ball to someone or against something, the ball will follow a certain path, a visualized motion. Hopefully you can imagine a motion path if you are asked to throw something towards a target some 10 meters away. Somehow we can imagine the height and path in order to get the ball (or small stone) in the basket or what we are aiming at. If we want to shoot a basketball to go into the basket, we consider elevation angle and initial velocity also. Most of us humans do that without thinking about it. [ABSTRACT FROM AUTHOR]

This research aims to design and evaluate an experimental model of problembased mathematics instruction by conducting an experiment with 3rd-grade students in practical school settings. The objective is to determine the impact of the experimental instruction model on students' achievements in mathematics knowledge, focusing on the first taxonomy level according to Gagne. The study utilizes an experimental pedagogical research approach within existing primary school classrooms. The experimental group (EG) experiences the problem-based instruction model, while the control group (CG) receives behaviorist instruction. The experiment spans 8 months and includes 240 3rd-grade students. Results reveal that the EG, despite a minor pre-test advantage, demonstrates superior posttest achievements in arithmetic, geometry, and logic when controlling for pre-test scores. This confirms the effectiveness of problem-based instruction in enhancing conceptual understanding. [ABSTRACT FROM AUTHOR]

As digital games become more integrated into education, striking a balance between technology and pedagogy is essential. This study investigates digital games as contexts for problem-based learning (PBL) to actively involve students in problem-solving in a Korean middle school. This study examined two cases (Social Studies and Science) where teachers incorporated digital games, Minecraft and Kodu, in their PBL lessons for 7th-grade students. Following the PBL sessions, students engaged in collaborative problem-solving tasks, and their discussions were analysed using a coding scheme to examine the strategies used. The results reveal clear patterns in the consistent use of models and planning practices across groups while open-endedness was infrequently observed. Key findings suggest implications for digital pedagogy, emphasizing the use of games as contexts for PBL activities, the integration of commercially available games in authentic classroom contexts, and the importance of problem scenarios encouraging the exploration of diverse perspectives within a problem space. [ABSTRACT FROM AUTHOR]

Problem-solving is at the core of engineering design, being fundamental for systematic innovation. During their education, students are taught numerous methods and tools, despite that literature shows debatable results regarding their real impact. Consequently, this study aims to quantify the relative impact of design methods on undergraduate students' problem-solving performance and determine if this influence goes beyond their background and the problem's complexity. Utilising novelty, variety, and quality as criteria, the work done by 144 students was evaluated, solving two problems using three methods. The results show a performance improvement of up to 46% when working with methods that guide solution development through design principles. The context and the student method preference did not affect their performance, while the increment in the problem's difficulty improved novelty and variety (15% and 11%) but reduced quality (34%). Surprisingly, the best-performance method was the least preferred, indicating the need of exploring the relationship between performance and actual use. The study results validate the work invested in teaching design methods, indicating the characteristics of the most efficient ones, beyond expert opinion. The structure of the study allows replication and could help future comparison of results. [ABSTRACT FROM AUTHOR]

Purpose This study investigates how Digital Game-based Learning (DGBL) impacts the development of product innovation skills among undergraduate students, comparing the performance of students across different disciplines--Applied Arts (AA) and Applied Sciences (AS). Methodology The study involved 80 undergraduate students: 40 students pursuing an AA degree and 40 pursuing an AS degree. The design of the innovation game incorporated cognitivist learning strategies based on Bloom's taxonomy. Innovation skills were evaluated through an open-ended achievement test. FindingsThe study revealed that DGBL effectively enhances product innovation skills by integrating cognitive strategies, and Bloom's Taxonomy into guided answers, and open-ended achievement tests. AS students excelled in problem identification and idea creation, while AA students emphasised psychological, emotional factors and visualisation representation. Significance The findings suggest promoting interdisciplinary collaboration among educators and policymakers to integrate aesthetics and technological knowledge. This approach enables students from diverse disciplines to leverage their strengths for holistic innovation. For practical applications, game designers and educators can model product innovation steps, offer guided answers, track progress and award virtual badges. The open-ended achievement test is a valuable tool for assessing innovation skills across diverse student backgrounds. Future studies should focus on integrating cognitivism and constructivism in collaborative learning, using generative AIassisted assessment, and bridging virtual idea generation with realworld product idea pitching using voice-input technologies. In conclusion, this study provides practical guidelines for implementing DGBL in product innovation, influencing education, policy-making, and design practices. [ABSTRACT FROM AUTHOR]

This manuscript explores the integration of spatial reasoning into K-12 education through the lens of Joyce VanTassel-Baska's Integrated Curriculum Model (ICM) and a talent development approach. It emphasizes the significance of nurturing spatial reasoning components—visualization, rotation, orientation, and perception—for academic success, problem-solving, and career prospects, especially for academically talented students. Through collaboration with talent development strategies, including mentorship and differentiated instruction, this approach provides a dynamic, real-world-focused learning experience. Inclusive and designed to engage the educational community, it aims to prepare students for complex global challenges, highlighting the transformative power of tailored education in developing versatile societal contributors. [ABSTRACT FROM AUTHOR]

This study explored the students' perceptions and key learning outcomes with the use of system modelling (SM) instructional strategy. Specifically, the study sought to understand students' perceptions and experiences with the use of SM in enhancing their conceptual and application knowledge, as well as problem‐solving and system thinking skills. The study employed a qualitative inquiry approach to gain insight into engineering students' experiences. Data were collected using semi‐structured interviews and students' artefacts, including problem‐solving surveys and modelling diagrams. Overall, the findings indicated promising effects of the SM approach on students' learning outcomes. Seven major themes emerged from the interview data, including problem diagnosis, interconnection, linearity, external representation, wholeness, organized problem‐solving approach and systematic process. The problem‐solving inventory survey responses indicated that participants believed that the SM approach enhanced their problem‐solving skills. Furthermore, the model diagram analysis suggested that all participants showed moderate gain in system thinking skills after the SM strategy. This paper presents these findings and the pedagogical implications for engineering education. [ABSTRACT FROM AUTHOR]

Abstract Background Health professionals need to be prepared for interdisciplinary research collaborations aimed at the development and implementation of medical technology. Expertise is highly domain-specific, and learned by being immersed in professional practice. Therefore, the approaches and results from one domain are not easily understood by experts from another domain. Interdisciplinary collaboration in medical research faces not only institutional, but also cognitive and epistemological barriers. This is one of the reasons why interdisciplinary and interprofessional research collaborations are so difficult. To explain the cognitive and epistemological barriers, we introduce the concept of disciplinary perspectives. Making explicit the disciplinary perspectives of experts participating in interdisciplinary collaborations helps to clarify the specific approach of each expert, thereby improving mutual understanding. Method We developed a framework for making disciplinary perspectives of experts participating in an interdisciplinary research collaboration explicit. The applicability of the framework has been tested in an interdisciplinary medical research project aimed at the development and implementation of diffusion MRI for the diagnosis of kidney cancer, where the framework was applied to analyse and articulate the disciplinary perspectives of the experts involved. Results We propose a general framework, in the form of a series of questions, based on new insights from the philosophy of science into the epistemology of interdisciplinary research. We explain these philosophical underpinnings in order to clarify the cognitive and epistemological barriers of interdisciplinary research collaborations. In addition, we present a detailed example of the use of the framework in a concrete interdisciplinary research project aimed at developing a diagnostic technology. This case study demonstrates the applicability of the framework in interdisciplinary research projects. Conclusion Interdisciplinary research collaborations can be facilitated by a better understanding of how an expert’s disciplinary perspectives enables and guides their specific approach to a problem. Implicit disciplinary perspectives can and should be made explicit in a systematic manner, for which we propose a framework that can be used by disciplinary experts participating in interdisciplinary research project. Furthermore, we suggest that educators can explore how the framework and philosophical underpinning can be implemented in HPE to support the development of students’ interdisciplinary expertise.

This study delved into the attitudes of 90 level 300 preservice teachers towards problem-solving in mathematics education, recognising its significance in enhancing students’ mathematical proficiency. Conducted through a cross-sectional survey design, the research encompassed preservice teachers from various specialities, including Junior High School, Upper Primary, and Early Grades in a college of education in the Upper West Region of Ghana. Utilising a structured questionnaire, rate their agreement or disagreement with the 27-item attitudinal scale on a four-point scale, ranging from 1 (strongly disagree) to 4 (strongly agree). The scores were interpreted as follows: a score of one represents the lowest possible level, indicating a negative attitude, while a score of five represents the highest possible level, indicating an assertive positive attitude. The attitude scores had a standard deviation of 5.19085, suggesting moderate variability from the mean. The attitude ratings displayed a negative skewness of -0.967, indicating that most preservice teachers had predominantly favourable attitudes towards problem-solving as a teaching method. Notably, the research found no significant differences in attitudes between male and female preservice teachers, nor across different programs of study, indicating the need to consider additional factors influencing attitudes towards problem-solving in mathematics education. The lack of significant differences in attitudes based on gender or program of study suggests that factors beyond these demographic variables may influence preservice teachers’ perceptions of problem-solving

The use of metacognitive and self-regulated strategies is a potential predictor of problem-solving skills and self-efficacy. However, this potential needs to be seen at the level of knowledge and experience of various attributes and forms of activity. This research aims to see the interaction effect of using metacognitive and self-regulated strategies on problem-solving skills and self-efficacy in primary school students. This research is quantitative in the form of a factorial design with a 2x2 design. A total of 100 primary school students were the subjects of data mining through tests and questionnaires. The results of this study show that both metacognitive and self-regulated strategies separately positively influence problem-solving skills and self-efficacy. However, when combined with the analysis, it shows that there is no interaction pattern of metacognitive and self-regulated strategies in each of the problem-solving and self-efficacy variables. The use of metacognitive strategies and also self-regulation has a different impact on problem-solving which shows that students tend to be resistant to these attributes in learning. This is thought to be caused by the knowledge style and experience attributes possessed by primary school students. Apart from that, learning styles and science materials, which are mostly in the form of concepts, also have allusions, so the combination of the two needs to be analyzed more deeply. Future teachers and researchers can use this research as a basis for testing the potential interaction of many attributes and skills at certain cognitive levels.

Triangles and trigonometry are always difficult topics for both mathematics students and teachers. Hence, students' performance in solving mathematical word problems in these topics is not only a reflection of their learning outcomes but also an indication of teaching effectiveness. This case study drew from two examples of solving word problems involving triangles by pre-service mathematics teachers in a foundation mathematics course delivered by the author. The focus of this case study was on reasoning implications of students' performances on the effective training of pre-service mathematics teachers, from which a three-step interactive explicit teaching-learning approach, comprising teacher-led precise and inspiring teaching (or explicit teaching), student-driven engaged learning (or imitative learning), and student-led and teacher-guided problem-solving for real-world problems or projects (or active application), was summarized. Explicit teaching establishes a solid foundation for students to further their understanding of new mathematical concepts and to conceptualize the technical processes associated with these new concepts. Imitative learning helps students build technical abilities and enhance technical efficacy by engaging in learning activities. Once these first two steps have been completed, students should have a decent understanding of new mathematical concepts and technical efficacy to analyze, formulate, and finally solve real-world applications with assistance from teachers whenever required. Specially crafted professional development should also be considered for some in-service mathematics teachers to adopt this three-step interactive teaching-learning process.

The 21st century learning demanded students to master the 4C competencies: critical thinking and problem-solving, communication, collaboration, and creativity and innovation, with problem-solving skills significantly influencing students' cognitive learning outcomes. This study utilized the Flipped Classroom instructional model, assisted by the Khan Academy application, as a key factor in educational change. This research aimed to determine the effects related to the implementation of the Flipped Classroom instructional model with the assistance of the Khan Academy application on students' problem-solving abilities and cognitive learning outcomes. The research design employed was quasi-experimental with data collection through observation, interviews, tests, and documentation. The results obtained through Independent Sample t-Test in measuring problem-solving abilities indicated that the Sig. value (2-tailed) was 0.028 for the first indicator (understanding the problem); 0.028 for the second indicator (planning the solution); 0.000 for the third indicator (implementing the solution plan); and 0.001 for the last indicator (checking back). This meant that the results were < 0.05 for each indicator. Another result, namely the Analysis of Covariance (ANCOVA) for cognitive learning outcomes was 0.000. This result showed that the Sig. value was < 0.05. Both results indicated that there was an influence of implementing the Flipped Classroom instructional model with the assistance of the Khan Academy application on student’s problem-solving abilities and cognitive learning outcomes of class X students at SMAN 1 Kutorejo regarding the topic of viruses and their roles.