Showing 21 - 40 results of 981 for search 'learning (conservation OR construction) (programmes OR programs)', query time: 0.20s Refine Results
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    Cognitive engagement as a predictor of learning gain in Python programming by Daevesh Singh, Ramkumar Rajendran

    Published 2024-12-01
    “…Further, the regression analysis results showed that the constructive and passive levels of engagement were significant predictors of students’ learning gains in the case of Python programming.These findings offer actionable insights into why some students may have lower learning gains. …”
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    The Improvement of Arabic Language Learning Program in Realizing the World Class University by Syaiful Mustofa, Suci Ramadhanti Febriani, Faisal Mahmoud Ibrahim

    Published 2021-02-01
    “…This study aimed to explore and analyze the Arabic language learning program at UIN Maliki Malang. The research data were obtained from the interview with campus governance and direct observation of Arabic learning program activities and the documentation of strategic planning of Arabic language learning programs to create a world class university. …”
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    Effective BIM Curriculum Development for Construction Management Program Transformation Through a Change Management Lens by Ki Pyung Kim, Rob Freda, Seoung-Wook Whang

    Published 2025-08-01
    “…Integrating BIM curriculum into traditional construction management (CM) programs is essential to meet the increasing industry demand for BIM-ready graduates. …”
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    Leveraging how animals learn in conservation science: Behavioral responses of reintroduced bison to management interventions by Tana L. Verzuh, Karsten Heuer, Jerod A. Merkle

    Published 2024-11-01
    “…Management techniques, such as hazing, can be used to prevent movement beyond set boundaries, but to be effective long‐term, the animals must learn to avoid the areas where they are hazed. Although concepts of animal learning have been used to improve reintroduction programs, learning is not often explicitly tested or used as an indicator of program success. …”
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    A framework for effective construction workers safety training using flipped learning by Abdul Rehman, Muhammad Usman Hassan, Muhammad Umer Zubair, Taha Aziz, Khursheed Ahmed

    Published 2025-03-01
    “…These methods often lack classroom interaction, hindering active worker engagement and fail to accommodate diverse learning paces and styles. To enhance safety awareness among workers, there is a need for a more effective system for safety training programs within the construction industry. …”
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    Integrating Generative Artificial Intelligence and Problem-Based Learning into the Digitization in Construction Curriculum by Reza Maalek

    Published 2024-11-01
    “…These modules were offered over three semesters each as part of a new M.Sc. program in Technology and Management in Construction at the Karlsruhe Institute of Technology. …”
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    Constructing a Software Tool for Detecting Face Mask-wearing by Machine Learning by Ashraf Abdulmunim Abdulmajeed, Tawfeeq Mokdad Tawfeeq, Marwa Adeeb Al-jawaherry

    Published 2022-06-01
    “…The workstation of this research used a webcam programmed by Matlab for real-time testing. …”
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    Effectiveness of Blended Learning Support: Perception of First Year Extended Program Students by Funmilola Kemi Megbowon

    Published 2024-02-01
    “…This study which is based on the constructive and social support theory model employed qualitative research method and convenience sampling technique to obtain data using a semi-structured interview from a sample of twenty (20) first year Extended Program students in the Faculty of Management and Commerce to gain insight into students’ experiences with blended learning support. …”
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    Barriers to Learning Exposure In Construction 4.0: Perspectives From Built-Environment Students by Olajide Julius Faremi, Habeeb Abiodun Arowolo

    Published 2025-06-01
    “…The ongoing digital transformation of the construction industry, known as Construction 4.0, requires students in built-environment programs to gain adequate exposure to emerging technologies. …”
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    Integrating Machine Learning Algorithms to Construct a Triaptosis-Related Prognostic Model in Melanoma by Xie J, Zhang M, Qi M

    Published 2025-06-01
    “…Key triaptosis-related genes and pathways were identified and incorporated into machine learning models to construct a prognostic signature. …”
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