37 10 3108 http://repository.gctu.edu.gh/files/original/75bc7216aa492bc85e5c0c08da518fa1.pdf 4bc0bcce913ca48615ac8cef6cb7774d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Graduate School Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence in Social Work: Bridging Technology and Humanity Creator An entity primarily responsible for making the resource Ruopeng An, Michael A. Lindsey Description An account of the resource This open access book is a comprehensive examination of how artificial intelligence (AI) is transforming the field of social work across practice, education, and research. This topic is particularly important to the field at this time due to the rapid integration of AI technologies into societal structures and the increasing demand for social services that are efficient, effective, and ethically sound. The book provides timely insights into how AI can be harnessed to address complex social issues while maintaining the core values of social work. It emphasizes the critical need for professionals to understand and navigate the ethical implications of AI, ensuring that technological advancements serve to enhance, rather than compromise, human well-being. Organized into five parts, the book begins with a foundational overview in Part I, introducing the role of AI in transforming social work. Part II explores AI applications responding to social needs, covering critical areas such as poverty, child welfare, health care, mental health, substance abuse, support for older adults, communities at risk, criminal justice, and human trafficking prevention. Part III delves into AI's impact on social justice in changing contexts, including advocacy, environmental challenges, the evolving workplace, and international issues. Part IV focuses on AI in social work education and research, highlighting how AI tools enhance learning and scholarly inquiry. Part V addresses ethical considerations and future directions, discussing challenges, governance, and strategies for building AI literacy, culminating in a conclusion that outlines opportunities for AI in social work. Artificial Intelligence in Social Work: Bridging Technology and Humanity equips social work practitioners, educators, researchers, and students with a deep understanding of AI's capabilities and implications within various social work domains. The book offers practical guidance on integrating AI into various aspects of social work practice, enhancing service delivery, and improving client outcomes. For educators and students, it provides a framework for incorporating AI literacy into social work curricula, preparing the next generation of professionals for a technologically advanced landscape. Researchers benefit from insights into innovative methodologies that leverage AI for more robust and impactful studies. By intertwining technological advancements with the human-centric values of social work, the book underscores the necessity of balancing innovation with compassion and ethical responsibility. Subject The topic of the resource Artificial Intelligence Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2026 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text http://repository.gctu.edu.gh/files/original/61d0695fa2cf2150b9f2c05daa5c646f.pdf b5d853f563eccc6066562c5019c7996e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence Technology Creator An entity primarily responsible for making the resource Huawei Technologies Co., Ltd. Subject The topic of the resource Artificial Intelligence Publisher An entity responsible for making the resource available Huawei Technologies Co., Ltd. Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text Description An account of the resource This open access book aims to give our readers a basic outline of today’s research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and common theories and methodologies that are widely accepted in AI research and application. This book is written in comprehensible and plain language, featuring clearly explained theories and concepts and extensive analysis and examples. Some of the traditional findings are skipped in narration on the premise of a relatively comprehensive introduction to the evolution of artificial intelligence technology. The book provides a detailed elaboration of the basic concepts of AI and machine learning, as well as other relevant topics, including deep learning, deep learning frameworks, the Huawei MindSpore AI development framework, the Huawei Atlas computing platform, the Huawei AI open platform for smart terminals, and the Huawei CLOUD Enterprise Intelligence application platform. As the world’s leading provider of ICT (information and communication technology) infrastructure and smart terminals, Huawei’s products range from digital data communication, cybersecurity, wireless technology, data storage, cloud computing, and smart computing to artificial intelligence. http://repository.gctu.edu.gh/files/original/0cfd4c5fda34a5ebf5d7d3f90b6000c0.pdf 956dc1984ae0be82da5b90549e2d0cbc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of IT Business Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial intelligence: a catalyst to organizational learning and development in 21st century Creator An entity primarily responsible for making the resource , Robert Ebo Hinson Description An account of the resource Artificial intelligence is often observed as a means to automate operations, not as a device to enhance and support human workers. When human and artificial capitals have the capability to not only generate efficiencies within business practices, they can transform and create new opportunities. Due to the unique self-learning proficiency of emerging AI technology, the study admits taking a learning-centered approach to embrace the link between AI and strategy. This study shows that what drives strategy is not machine learning but organizational learning. According to Ransbotham et al. (2020), organizational learning is the source of competitive advantage and the foundation on which an organization can develop capabilities to adapt to shifts in the ever-changing environment. AI is often treated as a strategic asset that assists the firm to frequently reposition itself in the dynamic and competitive environment, rather than as a tool for automating processes, cutting costs or snowballing the firm’s revenue streams External strategic learning process of artificial intelligence There is an external orientation of strategic learning processes in every organization (Thomas et al., 2001). Organizations therefore turn outside their internal environment to explore trends of activities in their competitive market, paying particular attention to consumer intention, buying behavior and demand. The external environment of the organization requires that internal processes and capabilities be vigorously developed and redeveloped to improve the company’s competitive advantage. Artificial intelligence: changing organizational learning and engagement Artificial intelligence (AI) can simply be captured as the development of systems that can perform tasks that would normally require human reasoning and intelligence, such as problem-solving, and decision-making (Mannino, 2015). AI simply is system software that Publisher An entity responsible for making the resource available Emerald Publishing Limited, ISSN 1477-7282 Source A related resource from which the described resource is derived https://www.emerald.com/insight/content/doi/10.1108/dlo-02-2024-0037/full/html Language A language of the resource English http://repository.gctu.edu.gh/files/original/11c8d2f735609fae15040037c7873549.pdf ab3bf205705b79efe135a57e4ef75113 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence: a very short introduction Creator An entity primarily responsible for making the resource Boden, A. Margaret Subject The topic of the resource Emerging Technologies, Artificial Intelligence Publisher An entity responsible for making the resource available Oxford University Press Date A point or period of time associated with an event in the lifecycle of the resource 2018 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English http://repository.gctu.edu.gh/files/original/070dabc1c11304e28b5f80345a17d4ad.pdf dc4fe1d57220b6610f2e5a98dd40b6cf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence: Principles and Practice Creator An entity primarily responsible for making the resource George F. Luger Subject The topic of the resource Computer Science Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2025 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text http://repository.gctu.edu.gh/files/original/a81e3acc4f2286e810e0f967ffc84ee9.pdf 196608cefd0cd59cd7a76c58821e03ef Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence. Structures and Strategies for Complex Problem Solving.6th Edition Creator An entity primarily responsible for making the resource George F. Luger Subject The topic of the resource Computer Science Publisher An entity responsible for making the resource available Addison Wesley Date A point or period of time associated with an event in the lifecycle of the resource 2009 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text http://repository.gctu.edu.gh/files/original/3e0b66c3e24f57730b39692dfe7a6da6.pdf 83c8da0dae5dced4458477a778f6b690 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Engineering Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assembly Language Programming Made Clear: A Systematic Approach Creator An entity primarily responsible for making the resource Howard Dachslager Subject The topic of the resource Electronics, Microprocessors and Microcontrollers Publisher An entity responsible for making the resource available Cognella Date A point or period of time associated with an event in the lifecycle of the resource 2018 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text http://repository.gctu.edu.gh/files/original/669e33a003b768d92d97681d8a4588b2.pdf 0cc5725731bdb683bbdd1a752268b835 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assembly Language Succintly Creator An entity primarily responsible for making the resource Christopher Rose Publisher An entity responsible for making the resource available Syncfusion Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2013 http://repository.gctu.edu.gh/files/original/184b2ccf0b6c334ec066fc773f70379c.pdf f4f97644ea9043374ec60a2367655b8d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MSc Management Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assessing a Custom Developed Mobile Learning Management System Creator An entity primarily responsible for making the resource Papa Yaw Mireku-Ode Description An account of the resource This is a comprehensive study about how users (Students and Tutors) at Ghana Technology University College will accept a mobile learning management system as a compliment to their main stream learning management system –Moodle (LMS). This research seeks to understand how users respond to new technology and how the responds (positive or negative) affects other stakeholders and themselves. According the recent studies by various authors and researchers, Electronic learning (eLearning) presents countless opportunities, not just found in academia but also all other industries. This is solely because the gradual evolvement of the human race from the agrarian era where the most beneficial thing to learn was agriculture in order to survive. This technology era presents countless opportunities, where one might not need to even see China through their entire lifetime, but may effectively learn to speak Chinese with the aid of technology. Technology presents the world with a lot of good and bad things, one of these things is the ability to learn without necessarily being in a classroom or a particular location (eLearning). In recent time this technology has grown to bring more comfort to people by giving more control over how they choose to learn. As a result, introducing another innovation where one is able to access learning material over a mobile communication network using a mobile device (m- learning). Subject The topic of the resource MSc. Management Information Systems Publisher An entity responsible for making the resource available Ghana Technology University College Date A point or period of time associated with an event in the lifecycle of the resource September 2016 Contributor An entity responsible for making contributions to the resource Dr. Stephen Asunka Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Food Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assessing cocoa aroma quality by multiple analytical approaches Creator An entity primarily responsible for making the resource Phuong Diem Tran, Davy Van de Walle, Nathalie De Clercq, Ann De Winne, Daniel Kadow, Reinhard Lieberei, Kathy Messens, Dung Nhan Tran, Koen Dewettinck, Jim Van Durme Description An account of the resource In this study the quality of 26 fermented cocoa beans from 4 different countries (Vietnam, Indonesia, Peru and Ghana) is assessed by means of both a compositional analysis (amino acids, reducing sugars, polyphenols and lactic acid) and profiling of their volatile aroma composition (Mass Spectrometry (MS)-fingerprinting and Headspace-solid Phase Micro-extraction-Gas Chromatography–Mass Spectrometry (HS-SPME-GC–MS)) following high roasting processing (30 min at 150 °C). Compared with the labour-intensive measurement of cocoa precursors, MS-fingerprinting on the cocoa headspaces appeared to be a very powerful and fast classification technique. Different cocoa groups were researched having unique organoleptic characteristics which were affected by fermentation, roasting conditions and geographical origin. A clear separation of fine flavour cocoa (Criollo variety), well fermented/roasted cocoa … Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2015 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=EZuX1N8AAAAJ&pagesize=80&citation_for_view=EZuX1N8AAAAJ:W8gSVh4kTHQC Language A language of the resource English