University of Windsor, Ontario: Open Journal Systems
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    Teaching Strategies, Artificial and Digital Technologies, and Science Education

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    In this issue, we focus on teaching strategies, artificial and digital technologies, science education, and several additional topics. We begin with seven articles on teaching strategies. The articles examine the effectiveness of action-oriented teaching, the key competencies crucial for effective teaching, perspectives on failure within higher education student experience, the complex and multifaceted aspects of teacher well-being during the COVID pandemic, a comparison of elementary school civic learning models in Indonesia and Finland, student research as a high-impact educational practice, and the relationship between reading literacy and critical thinking skills among vocational school learners. Then, we present six articles on artificial and digital technologies. The articles explore the use of AI technologies in Ukrainian higher educational institutions, the characteristics of integrated emerging technology frameworks and models and the pedagogical strategies they support, a pedagogical framework for integrating deep learning into information technology education programs, the effectiveness of interactive media and specific learning strategies, the effectiveness of science learning with games, and the effects of gamified learning management systems on learning outcomes and self-directed learning. We then share three articles on science education. They investigate the use of the engineering design process to enhance physics learning, the effectiveness of three science-based learning methods in closing the gap in scientific conceptual understanding between underachieving and high-achieving students, and perceptions of natural science teachers about the Indonesian National Assessment and how literacy is taught in vocational schools. Additional articles are presented on corpus linguistics, the development of motor skills in children with school-age Autism Spectrum Disorder, and a review of two admission criteria metrics for identifying strong teacher candidates. This issue includes a dialogue and commentary article on evidence-based education, concluding with two book reviews

    International Criminal Antidrug Policies and Decoloniality: A Critical Assessment Based on Brazilian Experience

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    This article explores the application of decoloniality as a critical lens to transnational drug-related norms, and its implications for Brazil\u27s criminal policy. The research addresses how antidrug policies, largely developed as tool that upholds colonial power structures, were imposed on Global South countries like Brazil without consideration for their unique social, cultural, and historical contexts. Brazil’s incorporation of these norms into its legal framework has led to the creation of its own guerra às drogas, a violent war on drugs that disproportionately impacts marginalized communities. By adopting a decolonial approach, this article challenges the dominance of Western legal models in Transnational Criminal Law, arguing for the inclusion of alternative perspectives to better protect human rights in the Global South. The study scrutinizes Brazil\u27s political and legislative adoption of transnational antidrug norms and policies and the consequences of such a model, offering critical theoretical insights into whether a decolonial approach to drug prohibition could provide more suitable and context-sensitive solutions. This research contributes to the growing movement to decolonize legal frameworks and proposes new pathways for protecting and promoting human rights in drug-related criminal policies, especially in Latin America

    Significance of Educational Methods in Shaping Graduates’ Competencies in Belarus

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    This paper analyses higher education graduates’ feedback on how teaching-learning methods enhance competencies. The analysis focuses on Belarus and uses data from the Fostering Competencies Development in Belarusian Higher Education (FOSTERC) survey, an online survey of 5443 young graduates conducted in 2018. The survey gathered information on 12 items related to educational methods and 24 competencies emphasized in graduate study programs. Factor analysis allowed us to group these 24 competencies into the categories of entrepreneurial and transversal. We also considered other variables, such as graduate characteristics and contextual factors. Our results indicate that, overall, the most frequent teaching-learning method in Belarusian study programs is the traditional lecturer and teacher as the main source of information. However, graduates exposed to more active teaching-learning methods reported that these methods positively influenced the development of entrepreneurial and transversal competencies. We observed gender stereotypes related to study fields; female graduates in education sciences (compared to male peers) had a more positive perception of their study programs regarding the promotion of entrepreneurial and transversal competencies. This finding raises concerns since natural sciences, engineering, and social sciences courses have traditionally been considered more likely to produce future entrepreneurs and innovators

    Deep Learning Methods Towards a Pedagogical Framework and Implementation Strategy: A Study of Information Technology Education Curriculum Development in Indonesia

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    The rapid advancement of artificial intelligence (AI), particularly deep learning, presents significant opportunities for transforming higher education curricula. This research aims to develop and implement a pedagogical framework for integrating deep learning into an information technology education program in Indonesia. Employing a design-based research (DBR) methodology, the study involved three iterative phases: needs analysis, framework design, and classroom implementation. Participants comprised 240 undergraduate students from the Department of Information Technology Education across all Indonesian universities. The framework emphasizes project-based learning, interdisciplinary integration, and the use of open-source deep learning tools. Data were collected through surveys, interviews, classroom observations, and pre- and post-tests. The results indicate that the integration of deep learning not only improved students’ technical competencies in machine learning and neural networks but also enhanced their problem-solving, collaboration, and critical thinking skills. Furthermore, both students and instructors reported increased engagement and motivation. This study contributes a replicable model for embedding deep learning in IT teacher education and offers practical guidelines for educators and curriculum developers. Future work will focus on scaling the framework and measuring its long-term impact on graduate preparedness and instructional innovation

    Book Review First-Generation Student Experiences in Higher Education:: Counterstories

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    This is a book revie

    Reimagining Admissions to Realize Equity in Teacher Education Programs

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    Faculties of Education make important decisions about who our next generation of teachers will be. While universities have been making declarations of commitment to equity, diversity, and inclusion (EDI) principles, there is little alignment between their stated goals and their admissions practices. This study examined the relationship between two metrics intended to identify strong teacher candidates (i.e., experience profile scores and Computer-Based Assessment for Sampling Personal Characteristics (CASPer) z scores) to determine whether they identify the same candidates. The second goal was to examine the relative contributions of our admission criteria to our decision-making process. Data from 3017 teacher education applicants were analyzed. All variables were unique and significant predictors of admission status. Poor agreement was observed between the two admission metrics. However, the CASPer data addressed non-cognitive metrics and identified who was more likely to struggle in the program. We used this data to reimagine our admissions process, creating a more just and equitable system

    Professional Competence of Future Primary School Teachers in the Context of an Updated Educational System

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    This study explores the essential competencies required for future primary school teachers within the context of updated educational systems, focusing on the evolving demands of modern education. Utilizing a mixed-methods approach, the research combines qualitative and quantitative techniques to analyze academic literature, educational policies, and teacher training programs. The analysis highlights key competencies, including planning, communication, social interaction, cooperation, and educational skills, which are crucial for effective teaching. The findings underscore the importance of continuous professional development, critical reflection, and the integration of technology in teacher training. The study also addresses the challenges posed by contemporary issues, including military conflicts and the necessity for adaptable teaching strategies. By examining various competency models and frameworks, the research provides insights into best practices in teacher education, emphasizing a shift from traditional teaching methods to competency-based approaches that align with current educational reforms and technological advancements

    Local Wisdom-Based Learning for Future Chemistry Education Research: A Bibliometric Analysis Using VOSviewer and RStudio Applications

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    Since 2015, research on local wisdom in science education has shown consistent growth, with a notable surge in 2023. While studies integrating local wisdom into physics, biology, and mathematics are abundant, bibliometric analyses focusing on chemistry education remain limited. This study aims to map research trends using data from the Web of Science database, which has been analyzed using VOSviewer and RStudio. The results reveal fluctuations in publication trends from 2015 to 2024, with Indonesia among the top 10 contributor countries. Indonesia’s cultural and geographical diversity—spanning multiple islands and ethnic groups—makes it a rich source for local wisdom-based educational research. Education Sciences, a journal based in Switzerland, is the most active publisher, with 26 related articles. Frequently used keywords include learning models, performance, engagement, achievement, pedagogy, and knowledge. Despite increasing interest, Indigenous knowledge remains underexplored in chemistry education. Therefore, integrating local wisdom requires a thoughtful selection of pedagogical strategies, learning content, and relevant chemistry concepts. The findings underscore that this remains a promising area of research that warrants further investigation

    Motor Skill Learning Strategy for School-Aged Children with Autism Spectrum Disorders: A Systematic Literature Review

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    Strategi dan kemanjurannya dalam mendukung anak-anak dengan ASD untuk mempelajari keterampilan motorik belum banyak dibahas. Oleh karena itu, sedikit informasi yang tersedia tentang subjek ini. Tinjauan sistematis ini dirancang untuk menggambarkan strategi pembelajaran keterampilan motorik untuk anak-anak dengan ASD usia sekolah. Metode yang digunakan dalam penelitian ini adalah metode PRISMA. Artikel diambil dari 2 basis data, yaitu: scopus dan web of science. Artikel-artikel dikumpulkan dari tahun 2009 hingga 2025 dan 17 artikel memenuhi kriteria inklusi dan eksklusi. Hasil penelitian ini menunjukkan bahwa (1) ada sembilan jenis strategi yang digunakan dalam mempelajari keterampilan motorik anak-anak dengan ASD usia sekolah, yaitu: pembelajaran implisit; instruksi berfokus pada perhatian; pembelajaran berbasis permainan; pembelajaran observasional; umpan balik visual waktu nyata; transfer pembelajaran lingkungan virtual-nyata; modifikasi tugas; program TMGD-2; CPRT; (2) kesembilan jenis strategi terbukti efektif; (3) Meskipun rekomendasi untuk penelitian di masa mendatang difokuskan pada pengembangan strategi pembelajaran berdasarkan tingkat kemampuan anak-anak dengan ASD dan evaluasi longitudinal, terdapat tantangan yang mendesak dalam penerapannya. Kolaborasi antara pendidik dan terapis penting untuk efektivitas strategi tersebut

    Illegal Timber Trade as a Transnational Crime: Driving External Measures to Enhance Enforcement in Indonesia

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    UNEP-Interpol’s report estimated Illegal timber trade accounted for 51-152 billion annually. Considering its lucrative nature, illegal timber trade needs to be perceived as a transnational crime and measures to tackle the crime shall be driven by international community, instead of being considered as domestic issues of the countries afflicted.  Moreover, illegal deforestation is pervasive in tropical countries like Indonesia because corruptions and limited resources hinder the effective operation of laws.  External measures are defined as measures under existing international regimes which addresses transnational nature of illegal timber trade, such as multilateral environmental agreements and bilateral free trade agreements. Hence, many timber consumer countries like the US and the EU continuously improve its deforestation policies and laws which have certain implications toward producer countries like Indonesia. This article proposes a detailed review on these external measures and identify room for improvements to catalyze strategic enforcement efforts in Indonesia. The overarching idea of this article is to borrow foreign influence and enforcement power of developed countries to tackle illegal logging in Indonesia

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