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    <link>https://repositori.mypolycc.edu.my/jspui/handle/123456789/6670</link>
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    <pubDate>Wed, 24 Jun 2026 21:23:58 GMT</pubDate>
    <dc:date>2026-06-24T21:23:58Z</dc:date>
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      <title>ADAPTING TO AI-MEDIATED WORKPLACES: HOW STEM TRAINEES NAVIGATE NEW CHALLENGES AND OPPORTUNITIES</title>
      <link>https://repositori.mypolycc.edu.my/jspui/handle/123456789/10049</link>
      <description>Title: ADAPTING TO AI-MEDIATED WORKPLACES: HOW STEM TRAINEES NAVIGATE NEW CHALLENGES AND OPPORTUNITIES
Authors: Cingillioglu, Ilker; Schoettner, Martin
Abstract: The integration of artificial intelligence in workplaces is rapidly transforming employment structures, skill requirements, and decision-making processes. This study examines how AI-mediated workplaces (AI-MWP) impact STEM trainees entering the workforce. Specifically, it explores their preparedness, the challenges and opportunities presented by AI-MWP, and the role of socio-digital skills in shaping their career trajectories. This study employs a socio-technical systems (STS) approach to analyze the experiences of science, technology, engineering and mathematics (STEM) interns. Using qualitative research methods, including interviews and case studies, we investigate how AI-MWP influence information sharing, task allocation, workplace interactions and the professional development of recent graduates. The findings highlight that AI-MWP introduce new challenges for STEM trainees, particularly in navigating socio-digital skills, workplace autonomy and task ownership. AI-mediated communication reduces informal learning opportunities, impacting trainees’ ability to develop professional networks and contextual understanding. Revealing a growing gap in employability frameworks that fail to address the evolving socio-technical demands of modern work, the study also underscores the necessity of digital fluency, adaptability and interdisciplinary collaboration as essential competencies for thriving in AI-MWP. This study extends STS thinking into the AI-mediated work domain, offering new insights into how digital transformation reshapes employment dynamics. By identifying socio-digital skills as a critical yet overlooked component, we provide actionable recommendations for STEM educators and employers to improve training strategies and bridge the gap between academic preparation and AI-MWP.</description>
      <pubDate>Tue, 30 Sep 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-09-30T00:00:00Z</dc:date>
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    <item>
      <title>A CONE-THEORETIC COMPARISON PRINCIPLE FOR CAPUTO FRACTIONAL DIFFERENTIAL EQUATIONS</title>
      <link>https://repositori.mypolycc.edu.my/jspui/handle/123456789/10048</link>
      <description>Title: A CONE-THEORETIC COMPARISON PRINCIPLE FOR CAPUTO FRACTIONAL DIFFERENTIAL EQUATIONS
Authors: Achuobi, Jonas; Fahad Alshammari; Ineh, Michael; Mohamed M. Awad; Akata, Emmanuel; George, Reny
Abstract: This paper presents a comprehensive cone-theoretic comparison principle for Caputo fractional differential equations, thereby addressing a key gap in the qualitative theory of fractional systems. Although classical comparison techniques based on scalar and vector Lyapunov functions have been extended to fractional settings, the more general and powerful framework of cone-valued Lyapunov functions has received little attention. In this work, we develop a complete theoretical foundation for this extension. We establish core results on cone-preserving fractional differential inequalities, prove the existence and characterization of maximal solutions with respect to arbitrary closed convex cones, and derive a general comparison principle for Caputo fractional systems. The central result is a unified comparison theorem that enables stability analysis of fractional systems using cone-valued Lyapunov functions. This approach incorporates both scalar and vector Lyapunov methods as special cases, and can be naturally extended to systems whose dynamics follow non-standard partial orderings. In all, our results provide a robust theoretical basis for studying complex fractional-order systems that lie beyond the reach of traditional comparison techniques.</description>
      <pubDate>Fri, 12 Dec 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-12-12T00:00:00Z</dc:date>
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    <item>
      <title>WHAT EXACTLY IS THE PRODUCTIVE STRUGGLE? LESSONS LEARNED FROM A CONTENT ANALYSIS OF THE MATHEMATICS EDUCATION LITERATURE</title>
      <link>https://repositori.mypolycc.edu.my/jspui/handle/123456789/9960</link>
      <description>Title: WHAT EXACTLY IS THE PRODUCTIVE STRUGGLE? LESSONS LEARNED FROM A CONTENT ANALYSIS OF THE MATHEMATICS EDUCATION LITERATURE
Authors: Young, Jamaal R.; Sanders, Miriam; Bevan, Danielle; Syahrul Amin
Abstract: Productive struggle (PS) has emerged as a critical construct in mathematics education, emphasizing the importance of persistence, cognitive engagement, and conceptual understanding in problem-solving. However, inconsistencies in its conceptual and operational definitions have hindered its effective implementation and assessment. This study conducted a content analysis of mathematics education literature to examine how PS is defined and operationalized. Findings reveal that while cognitive demand, deeper understanding, and effortful engagement are consistently emphasized, other critical characteristics—such as ingenuity, mathematical relationships, and student-centered learning—are less frequently addressed. Based on these findings, we propose a comprehensive conceptual definition of PS: an effortful, student-centered process involving cognitively demanding tasks that require persistence, ingenuity, and deeper mathematical understanding. Additionally, we identify observable and measurable classroom indicators to support the structured implementation and assessment of PS. By aligning research, teacher training, and instructional practices with this refined conceptualization, this study provides a foundation for enhancing mathematical problem-solving, resilience, and critical thinking in students. Implications for mathematics educators, researchers, and curriculum developers are discussed.</description>
      <pubDate>Fri, 04 Jul 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositori.mypolycc.edu.my/jspui/handle/123456789/9960</guid>
      <dc:date>2025-07-04T00:00:00Z</dc:date>
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    <item>
      <title>TECHNOLOGY COURSES FOR NON-STEM DEGREES: A PROJECT-BASED LEARNING CASE STUDY</title>
      <link>https://repositori.mypolycc.edu.my/jspui/handle/123456789/9918</link>
      <description>Title: TECHNOLOGY COURSES FOR NON-STEM DEGREES: A PROJECT-BASED LEARNING CASE STUDY
Authors: Chidean, Mihaela I.; Arboleya, Ana; Cerezo-Magana, Maria; Caamano, Antonio J.; Arco, Eduardo del; Cortes-Polo, David
Abstract: Actual and future society requires more and more technology-related knowledge. One of the goals of the educational system is to prepare current students and future workers for the different challenges and jobs that they might encounter, even if most future jobs are largely unknown. Although administrations gradually modify education policies that will affect future generations, nowadays, there are students enrolled in non-STEM degrees who require the same opportunities. There are multiple approaches to this issue, such as double major art-engineering degrees or specific technological courses offered for students enrolled in non-STEM degrees. In this work, we present a case study conducted in a mandatory course for an undergraduate design degree in the art and humanities field. The course objective is to teach students basic electronic design and programming with the Arduino platform. To evaluate the previous knowledge and attitude of the students with regard to technology, initial tests were conducted. To evaluate their acquired knowledge, the students’ final projects developed during the course were assessed. The present study analyzes the benefits for this student profile, showing that besides acquiring new expertise they have also broadened their options and opportunities in the labour market.</description>
      <pubDate>Mon, 08 Sep 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositori.mypolycc.edu.my/jspui/handle/123456789/9918</guid>
      <dc:date>2025-09-08T00:00:00Z</dc:date>
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