6,008 research outputs found

    Computational Thinking Research in Mathematics Learning in the Last Decade: A Bibliometric Review

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    This study aims to map the landscape of the importance of previous research on computational thinking (CT) in mathematics learning over the last decade. This research is a literature review research, there are 113 publications collected from the Scopus database which are then analyzed using the bibliometric analysis method assisted by the Vosviewer application. The data taken from the Scopus database was refined so that it became 113 publications. The results of the study show that publications are spread across various continents, including America, Asia, Africa, and Europe. The United States and the United Kingdom are the most influential countries and have high cooperation with other countries in this field. The main conclusion from this study is that computational thinking has an important role in learning mathematics and STEM. The integration of computational thinking in the mathematics curriculum can improve students' understanding of mathematics and help them face the challenges of the digital age. In addition, the development of effective training methods for mathematics teachers as well as the assessment of good computational thinking learning tools and platforms can help improve the effectiveness of computational thinking teaching in mathematics contexts. These innovations will help better understand how computational thinking can be effectively integrated in mathematics learning and prepare students for a future filled with digital technologies

    Learning analytics for enhanced professional capital development: a systematic review

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    Background/MotivationThis article presents a systematic review aimed at examining the utilization of learning analytics (LA) to enhance teachers’ professional capital.AimThe study focuses on three primary research questions: (1) exploring the characteristics and approaches of LA in professional capital, (2) investigating suggestions from LA for assessing and improving professional capital, and (3) examining variables studied in enhancing the most intricate dimension of professional capital using LA.MethodologyTo address the research objectives, a systematic review was conducted focusing on the key concepts “learning analytics” and “professional capital.” Following the procedures outlined encompassed in four stages: identification, screening, inclusion, and adequacy. The PRISMA 2009 protocol guided the systematic review process.Principal findingsThe findings of the study underscore the efficacy of LA as a catalyst for improving professional capital, particularly through collaborative learning and the utilization of tools like forums and online learning platforms. Social capital emerges as a pivotal component in integrating diverse types of professional capital, fostering opportunities for knowledge creation and social networking.Conclusion/SignificanceIn conclusion, the study highlights the paramount significance of addressing teachers’ professional capital development through collaborative approaches and leveraging technology, particularly in primary education. The article concludes by emphasizing the imperative for more research and knowledge dissemination in this field, aiming to ensure equity in learning and address the challenges posed by the COVID−19 pandemic

    Grain boundaries in polycrystalline materials for energy applications : First principles modeling and electron microscopy

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    Polycrystalline materials are ubiquitous in technology, and grain boundaries have long been known to affect materials properties and performance. First principles materials modeling and electron microscopy methods are powerful and highly complementary for investigating the atomic scale structure and properties of grain boundaries. In this review, we provide an introduction to key concepts and approaches for investigating grain boundaries using these methods. We also provide a number of case studies providing examples of their application to understand the impact of grain boundaries for a range of energy materials. Most of the materials presented are of interest for photovoltaic and photoelectrochemical applications and so we include a more in depth discussion of how modeling and electron microscopy can be employed to understand the impact of grain boundaries on the behavior of photoexcited electrons and holes (including carrier transport and recombination). However, we also include discussion of materials relevant to rechargeable batteries as another important class of materials for energy applications. We conclude the review with a discussion of outstanding challenges in the field and the exciting prospects for progress in the coming years

    Understanding Roblox's business model and collaborative learning on participation in the decision-making process: implications for enhancing cooperative literacy

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    This study examines the robust relationships between Roblox's business model, collaborative learning, participation in the decision-making process, and cooperative literacy within the Indonesian Roblox community. All hypotheses were substantiated, emphasizing the significance of understanding the business model, promoting collaborative learning, and encouraging active involvement in decision-making activities for fostering cooperative literacy among players. The research employed an exploratory research design with a quantitative approach. Sampling bias and self-reported data are acknowledged limitations, along with the cross-sectional design's inability to establish causality. To address these constraints, future research should employ longitudinal methods, diverse data collection approaches, and intervention studies. Cross-cultural research comparing the Indonesian Roblox community with other cultural contexts is also encouraged. Practical recommendations include integrating features that support collaborative learning and decision-making participation within the Roblox platform. Collaboration between educational institutions and Roblox to use the platform as an educational tool is suggested, offering students a unique opportunity to develop cooperative literacy skills. These findings offer valuable insights into cooperative literacy and community engagement within the Roblox ecosystem, providing a roadmap for its development. This research contributes to the platform's growth and success in Indonesia, making it a more cooperative and informed community

    Fairness-aware Machine Learning in Educational Data Mining

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    Fairness is an essential requirement of every educational system, which is reflected in a variety of educational activities. With the extensive use of Artificial Intelligence (AI) and Machine Learning (ML) techniques in education, researchers and educators can analyze educational (big) data and propose new (technical) methods in order to support teachers, students, or administrators of (online) learning systems in the organization of teaching and learning. Educational data mining (EDM) is the result of the application and development of data mining (DM), and ML techniques to deal with educational problems, such as student performance prediction and student grouping. However, ML-based decisions in education can be based on protected attributes, such as race or gender, leading to discrimination of individual students or subgroups of students. Therefore, ensuring fairness in ML models also contributes to equity in educational systems. On the other hand, bias can also appear in the data obtained from learning environments. Hence, bias-aware exploratory educational data analysis is important to support unbiased decision-making in EDM. In this thesis, we address the aforementioned issues and propose methods that mitigate discriminatory outcomes of ML algorithms in EDM tasks. Specifically, we make the following contributions: We perform bias-aware exploratory analysis of educational datasets using Bayesian networks to identify the relationships among attributes in order to understand bias in the datasets. We focus the exploratory data analysis on features having a direct or indirect relationship with the protected attributes w.r.t. prediction outcomes. We perform a comprehensive evaluation of the sufficiency of various group fairness measures in predictive models for student performance prediction problems. A variety of experiments on various educational datasets with different fairness measures are performed to provide users with a broad view of unfairness from diverse aspects. We deal with the student grouping problem in collaborative learning. We introduce the fair-capacitated clustering problem that takes into account cluster fairness and cluster cardinalities. We propose two approaches, namely hierarchical clustering and partitioning-based clustering, to obtain fair-capacitated clustering. We introduce the multi-fair capacitated (MFC) students-topics grouping problem that satisfies students' preferences while ensuring balanced group cardinalities and maximizing the diversity of members regarding the protected attribute. We propose three approaches: a greedy heuristic approach, a knapsack-based approach using vanilla maximal 0-1 knapsack formulation, and an MFC knapsack approach based on group fairness knapsack formulation. In short, the findings described in this thesis demonstrate the importance of fairness-aware ML in educational settings. We show that bias-aware data analysis, fairness measures, and fairness-aware ML models are essential aspects to ensure fairness in EDM and the educational environment.Ministry of Science and Culture of Lower Saxony/LernMINT/51410078/E

    Mobile augmented reality in learning chemistry subject: an evaluation of science exploration

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    Various technologies have been used in making teaching and learning sessions more effective, fun, and enjoyable. One of the ways to make teaching and learning interactive is by emphasizing the use of mobile augmented reality (MAR). Thus, this study has proposed using MAR for a chemistry subject, namely science exploration (SCIENEX). This study adopted design and development research (DDR) by employing the analysis, design, development, implementation, and evaluation (ADDIE) model. The phases involved in DDR are ADDIE. SCIENEX was evaluated based on its validity, usability, and effectiveness. Five experts validated SCIENEX after it had been completely developed. The samples for usability testing and effectiveness of SCIENEX were 30 secondary school students who were studying chemistry. The results of the evaluation of the experts’ validation revealed that SCIENEX is a valid and appropriate MAR application for the learning of topics in chemistry. The result also revealed that the majority of students strongly agreed that SCIENEX is appropriate for the usage of MAR in learning chemistry, as it is fun, easy to use, and helps students to understand their learning. Interestingly, SCIENEX could increase students’ performance in their learning (t=21.754; p=0.000). Thus, it can be concluded that SCIENEX is valid, can be used for learning chemistry, and can help students in their learning. The limitations of this study and future suggestions for research are also discussed

    How does interactive virtual reality enhance learning outcomes via emotional experiences? A structural equation modeling approach

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    IntroductionInterest in interactive virtual reality (IVR) is increasing due to its potential for embodied learning and group-led teaching. However, few studies have investigated the internal mechanism by which IVR technology features and learning experiences affect learning outcomes in terms of psychological and emotional value. Based on media technology models and the control value theory of achievement emotions (CVTAE), this study uses structural equation modeling (SEM) to investigate the correlations among the internal elements of IVR technology features, learning experiences, and learning outcomes. It also emphasizes the role played by emotional experience in this context.MethodsThe sample referenced by this study consisted of 480 college students (193 males) who were simultaneously engaged in guided inquiry and learning in an IVR-based COVID-19 pandemic science museum in groups of 10.ResultsThe findings suggest that presence and perceived enjoyment have a key mediating effect on the relationship between virtual reality (VR) features and perceived learning outcomes in an IVR-based learning simulation. In addition, the results indicate that presence is more strongly correlated with perceived learning effects, while enjoyment is more strongly correlated with learning satisfaction.DiscussionThese findings provide intellectual support and theoretical backing for VR-based instructional design and environmental development. Moreover, this study has practical value with regard to the future large-scale application of IVR to experiential teaching, group-led teaching, and the promotion of the digital transformation and intelligence upgrading in education

    The opinions of science and mathematics teachers about beliefs, practices, and implementation of meaningful learning in Israel. A case study of Arab middle school(s)

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    Wydział Studiów EdukacyjnychWiele badań pokazuje, że przekonania nauczycieli dotyczące nauczania i uczenia się silnie oddziałują na ich praktykę zawodową. Celem tej pracy było zbadanie przekonań i praktyk nauczycieli przedmiotów ścisłych i matematyki w arabskich szkołach średnich w Izraelu w obliczy wdrażania nowej reformy edukacyjnej w tym kraju, silnie osadzonej na koncepcji meaningful learning. Zgodnie z tą koncepcją, uczniowie powinni być aktywni i zaangażowani w proces rozwiązywania problemów, którego rdzeniem jest szeroko ujmowany dialog pomiędzy uczestnikami procesu uczenia się. W badaniach wykorzystano strategię badań jakościowych. Prowadzono obserwacje w klasie, częściowo ustrukturyzowane wywiady oraz analizy dokumentów (m.in. planów lekcji, testów, arkuszy roboczych) i notatek terenowych. Uczestnikami badania było dwudziestu nauczycieli z trzech szkół średnich w społeczeństwie arabskim. Uzyskane dane pozwoliły zarysować obraz przekonań tych nauczycieli na temat meaningful learning oraz zidentyfikować sytuacje, które nauczyciele postrzegają jako realizację tej koncepcji. Praca kończy się rekomendacjami dotyczącymi dalszych etapów wdrażania reformy edukacji w Izraelu.The introduction of a new reform potentially challenges teachers’ beliefs and practices about teaching. This case study explores these challenges in the context of a new reform in Israel, where major educational reform has been undertaken. A considerable body of research, alternatively, advocates that teachers’ beliefs about teaching and learning affect their teaching practices and many aspects of their professional work. These beliefs and practices influence many factors on the contextual and teacher levels. Thus, this study aimed to investigate and understand Arab middle school science and mathematics teachers’ beliefs, practices, and implementation of meaningful learning in Israel. The resulting data served to construct a background picture regarding teachers’ beliefs on meaningful learning, classroom practices, and identifying situations that teachers perceived as the implementation of meaningful learning. The study found also that curricular demands, teacher perceptions of their students, pressures of time, assessment, crowded classrooms, lack of resources, workload, and inadequate teacher understanding of the components of meaningful learning inhibited student- centered instruction. Thus, along with the reformation of teachers, there should also be a reformation in the context of the learning atmosphere and infrastructures in tune with the new reform’s intentions

    The effectiveness of Collaborative Online International Learning (COIL) on intercultural competence development in higher education

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    In this study we measured the effect of COIL on intercultural competence development using a quasi-experimental design. Our sample consisted of 108 undergraduate students from two universities, one located in the Netherlands (NL) and one in the United States (US). Students’ self-reported intercultural competence was measured using a pre-post survey which included the Cultural Intelligence Scale (CQS) and Multicultural Personality Questionnaire (MPQ). Qualitative data were collected to complement our quantitative findings and to give a deeper insight into the student experience. The data showed a significantly bigger increase in intercultural competence for the US experimental group compared to the US control group, supporting our hypothesis that COIL develops intercultural competence. This difference was not observed for the NL students, possibly due to the NL control group being exposed to other international input during the course
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