bluuebunny/crossref_metadata_2025 huggingface dataset:
Some results for the family of holomorphic functions associated with the Babalola operator and combination binomial series
Authors: Alsager Kholood M. , El-Deeb Sheza M. , Amourah Ala , Ro Jongsuk
Published: October 2024

In this paper, we define a new class $ \mathcal{R}_{t, \delta, \upsilon }^{m, n, \sigma }\left(\mathcal{A}, \mathcal{B}\right) $ of holomorphic functions in the open unit disk defined connected with the combination binomial series and Babalola operator using the differential subordination with Janowski-type functions. Using the well-known Carathéodory's inequality for function with real positive parts and the Keogh-Merkes and Ma-Minda's in equalities, we determined the upper bound for the first two initial coefficients of the Taylor-Maclaurin power series expansion. Then, we found an upper bound for the Fekete-Szegö functional for the functions in this family. Further, a similar result for the first two coefficients and for the Fekete-Szegő inequality have been done the function $ \mathcal{G}^{-1} $ when $ \mathcal{G}\in \mathcal{R} _{t, \delta, \upsilon }^{m, n, \sigma }\left(\mathcal{A}, \mathcal{B}\right) $. Next, for the functions of these newly defined family we determine coefficient estimates, distortion bounds, radius problems, and the radius of starlikeness and close-to-convexity. The novelty of the results is that we were able to investigate basic properties of these new classes of functions using simple methods and these classes are connected with the new convolution operator and the Janowski functions.
Euskararen aniztasun dialektalaren kontuan hartzea Euskaltzaindiaren Hiztegian
Authors: Coyos Jean-Baptiste
Published: October 2024

Artikulu honetan, Euskaltzaindiaren Hiztegia, adierak eta adibideak hiztegiak, gaur egun Euskaltzaindiak garatzen duen euskara batuaren hiztegiak, zer neurritan euskararen aniztasun dialektala kontuan hartzen duen aztertu nahi da. Hiztegian sailkapen dialektal hau erabiltzen da: amikuzera (Am.), behe-nafarrera (BNaf.), bizkaiera (Bizk.), gipuzkera (Gip.), goi-nafarrera (Naf.), hegoaldea (Heg.), iparraldea (Ipar.), lapurtera (Lap.) eta zuberera (Zub.). Laburdura dialektal horien, hizkera-erregistro laburduren edota jakintza-alorren laburduren konbinazioak baliatuz 6.510 hitz edo adiera ateratu dira, gutxi gorabehera hiztegiaren hitz eta adieren % 10. Hastapen-hastapenetik, 1920an, Euskaltzaindiak hiru egitasmo nagusi horiek lehenetsi zituen eginbeharretan: euskalkiak kontuan hartzea, hiztegi baten sortzea eta euskararen forma estandar baten egitea. Euskaltzaindiaren Orotariko Euskal Hiztegiaren bidez, XVI. mendetik hasiz, Iparraldeko tradiziozko literatura osoa kontuan hartu da Euskaltzaindiaren Hiztegian. Aldiz, Ipar Euskal Herrian gaur egun argitaratzen diren literatura, prentsa idatzia edo irakaskuntzarako argitalpenak ez dira kontuan hartu. Hau da Euskaltzaindiak laster zuzenduko duena. Euskara batua, euskara estandarra bilakatu dena, artifiziala dela uste duena okertzen da. Hau da hemen argiki frogatzen dena, lexikoaren alorrean bederen.
Constitutive inclusions
Authors: Zoanni Tyler
Published: October 2024

This article challenges conventional critiques of institutions within disability studies and activism by drawing on fieldwork with a Catholic home and a Pentecostal school for people with intellectual disabilities in Uganda. Rather than stop at thinking about the institutional spaces of these Christian organizations as segregating exclusions from wider social life, this article approaches the work these institutions do in terms of inclusion – as constitutive inclusions, referring to the ways these organizations serve to underwrite not only the basic existence but also the personhood of their residents and students. In turn, such an analysis supports rethinking conventional Global North understandings of institutions as well as distinctions between total and social institutions.
L’expérience spectatrice
Authors: Maignant Aurélien
Published: October 2024

Comment étudier ce que les spectacles font à leurs publics ? Et comment penser ce que les spectateurs et les spectatrices font aux spectacles ? Ces deux questions animent solidairement cette étude de réception menée au contact d’une centaine de spectateurs et de spectatrices. Mais avant d’interroger le public, elle rencontre les spectacles et les diverses constellations théoriques susceptibles de décrire la capacité d’agir des arts vivants.Le présent essai offre ainsi les conclusions de cet examen préalable à une enquête de terrain – mais qui en constitue aussi le résultat théorique. Fondé sur une grande interdisciplinarité que les mutations des scènes contemporaines rendent toujours plus nécessaire, il propose quatre modèles pour cerner l’éventail des effets politiques qu’un spectacle peut prétendre exercer sur son spectateur ou sa spectatrice. Ces effets sont-ils toujours ceux qui étaient prévus par l’œuvre ? Rien n’est moins sûr…
Trends in the development of vocabulary for emotion and cognition in English: A millennial perspective
Authors: Krykoniuk Kateryna , Pons-Sanz Sara M.
Published: October 2024

Existing research has shown that there is much variation in diachronic development and borrowability rates across different semantic fields in English, but most work up to now has focused on specialized or technical vocabulary, rather than fields associated with how people express and conceptualize their feelings and thoughts. While some studies have explored the historical evolution of the emotion lexicon (e.g., Diller [2014]) and, to a lesser extent, the cognition lexicon (e.g., Kiricsi [2010]), the contrastive study of these semantic categories has yet to be a focus in the research landscape. Therefore, this paper aims to explore the development of the cognition and emotion lexicon over a period of thousand years, from Old to Present-Day English. We compare the emergence of words in these two semantic fields across three key dimensions: semantic subfields, source languages of roots and morphological structure. For this purpose, we created a sample of approx. 1400 nouns on the basis of the Historical Thesaurus of English (HTE; categories: 02.01 mental capacity and 02.04 emotion) and analysed their etymology with the help of the Oxford English Dictionary. To annotate the lexical items in our sample, we used the methods of formal-morphological analysis (e.g., Tyschenko [2003]; Krykoniuk [2022]) and semantic analysis (e.g., Pons-Sanz [2022]; HTE [2023]). We analyse our sample with clustering techniques (i.e., Principal Component Analysis and Correspondence Analysis) to determine general trends across the two lexicons (e.g. a greater involvement of Latin roots and compounding in the formation of the cognition lexicon, and Norse-derived roots and conversion in coinage of nouns referring to emotion), as well as specific features of each period of the English language (e.g. the significant impact that the Middle English period had on the lexicalization of memory, fear, compassion, pleasure and suffering, and the early integration of French-derived terms, as suggested by word-formation processes).
Social ties and negotiation of lexical norms in Old English: The vocabularies of vices
Authors: Timofeeva Olga , Wallis Christine
Published: October 2024

This paper aims to document the coinage and diffusion of sin-lexemes and to evaluate the extent of their regional, chronological, and social reach. It starts by tracing the genesis of these concepts and lexemes in Latin and Old English texts, with a particular focus on their usage during the Benedictine reforms in the second half of the tenth century. Special attention is given to the works of Ælfric of Eynsham (c. 950-1010) and Archbishop Wulfstan (d. 1023), who are known to have collaborated on texts for religious instruction. In addition, the paper examines evidence from anonymous treatises such as the Capitula Theodulfi (c. 800, translated into English around the time of Ælfric and Wulfstan), as well as the works of Byrhtferth of Ramsey (c. 970-1020) and penitential literature. Despite the strong link between Ælfric and Wulfstan, comparisons with other contemporary authors, and especially penitentials, reveal that Ælfrician vocabulary did not achieve widespread adoption. This lack of uniformity may have contributed to the limited survival of Old English sin-lexemes into the Middle English period.
Après l’unité de rééducation
Authors: Groud Paul-Fabien , Perennou Dominic
Published: October 2024

Cet article analyse les vécus quotidiens des personnes amputées des membres inférieurs avec leur prothèse, au cours des dix-huit premiers mois post-rééducation. L’étude se base sur une enquête ethnographique et longitudinale réalisée auprès de quatorze personnes nouvellement amputées d’un ou des deux membres inférieurs. Elle porte spécifiquement sur l’analyse croisée des discours et retours d’expérience des personnes amputées vis-à-vis de leur vécu quotidien et de leur accommodement avec la prothèse, recueillis lors d’entretiens semi-directifs menés un an et demi après la fin de leur séjour de rééducation. Dans cet article, au prisme du handicap, le vécu quotidien avec la prothèse est analysé sous deux angles. Le premier se concentre sur les usages au quotidien de la prothèse et de ses retentissements sur les situations de handicap. Le second porte sur les diverses stratégies sociales mises en place par les personnes amputées lors des interactions sociales vis-à-vis de la visibilité et/ou invisibilité de la prothèse venant réinterroger les normes et les enjeux en lien avec le validisme.
Référents handicap: mieux reconnaître leur fonction essentielle pour favoriser l’inclusion des personnes handicapées dans l’emploi
Authors: Valdes Béatrice , Daubas-Letourneux Véronique
Published: October 2024

Cet article présente les principaux résultats d’une enquête statistique réalisée auprès des référents handicap de la fonction publique en 2019. Par les multiples missions qu’ils remplissent, seuls ou en coopération, les référents handicap apparaissent comme des acteurs-clés de la mise en œuvre d’une politique d’inclusion des personnes handicapées dans l’emploi, qui vise à aller au-delà du simple respect des quotas. Toutefois, ces professionnels expriment la nécessité d’une meilleure reconnaissance de leur fonction, en particulier en termes de temps de travail alloué et d’accès à une formation diplômante. L’enquête montre en effet que seul un référent handicap sur quatre est employé à temps complet sur cette fonction. En outre, si dans neuf cas sur dix ces professionnels étaient déjà insérés professionnellement avant de prendre la fonction de référent handicap, les trois-quarts n’avaient jamais travaillé dans le champ du handicap et seule une minorité a suivi une formation en lien avec le handicap. C’est par la pratique, et en lien avec des réseaux, que se construisent les compétences et la définition des missions d’une fonction appelée à se professionnaliser.
Analyse du processus de renforcement des vulnérabilités dans les situations complexes d’autisme
Authors: Barreyre Jean-Yves , Gibey Lydie , Fiacre Patricia
Published: October 2024

L’article concerne les parcours de vie et les situations complexes d’autisme en Île-de-France. Il repose sur une recherche participative avec les professionnels et les bénéficiaires du dispositif SCATED (Situations Complexes d’Autisme et Troubles Envahissant du Développement, dispositif crée en 2010). La méthode s’organise en trois phases: 1°- l’analyse du contexte de l’autisme en Île-de-France par l’exploitation de l’enquête nationale dite “ES 2014”; 2°- la co-construction entre l’équipe de recherche et les professionnels du dispositif d’une base de données actualisée spécifique au dispositif, à partir des 2 100 situations complexes d’autisme suivies de 2010 à 2018, et l’exploitation par les chercheur·e·s de 452 situations extraites de cette base; 3°- l’analyse de 11 situations diversifiées (32 entretiens). La recherche propose une lecture critique des troubles du comportement et analyse les sept dimensions qui participent d’un processus de renforcement des vulnérabilités dans les situations complexes d’autisme. Elle émet un certain nombre de préconisations qui sont reprises par l’Agence régionale d’Île-de-France dans le cadre de son plan stratégique de santé.
The labour market participation of persons with disabilities and related policies
Authors: Zwan Roos van der
Published: October 2024

This study provides a comparative analysis of policies related to the labour market position of persons with disabilities in Finland and Italy, countries with a relatively small employment gap between persons with and without disabilities. This research examining policies improving the labour market position of persons with disabilities was based on existing literature and expert interviews. The comparative analysis shows that these countries employ different policy approaches. In Finland, benefits are relatively high and policies emphasise prevention. However, there is a lack of activation measures for disability benefit recipients. In Italy, policies focus on activation. The Italian quota law requires companies to hire persons with disabilities. Moreover, social cooperatives provide employment for persons with disabilities. The findings suggest that efforts to ensure adequate compensation and activation measures, combined with processes created to build an inclusive society, may help to improve the labour market situation for persons with disabilities.
L’émergence de consommations d’handi-escalade
Authors: Lhopital Hugues , Boutroy Éric , Perrin Claire
Published: October 2024

La pratique de l’escalade par les personnes en situation de handicap s’inscrit dans une double dynamique sociétale traversée à la fois par un mouvement de massification, d’indoorisation et de marchandisation de l’escalade, mais aussi par les conséquences de la loi de février 2005 qui vise à produire des espaces et des services appropriés visant à garantir les besoins des personnes handicapées. Cette étude, issue d’un travail d’enquête de terrain inscrit dans une démarche ethnosociologique entreprise sur le territoire lyonnais, décrit le déploiement d’un processus d’innovation sociale en cours, dont les évolutions se réorientent progressivement d’un service peu ou pas marchand, situé dans l’entre-soi du milieu spécialisé, à des offres de services plutôt marchandes, situées dans des espaces partagés. Elle met en évidence un réseau d’acteurs sociotechniques qui cohabitent, en se reliant ou en s’excluant au gré de ses orientations et de sa diffusion progressive. À partir du cas de l’escalade, cet article révèle la complexité des facteurs influençant les consommations sportives et les agencements qui les rendent possibles. Il met en évidence le rôle des acteurs non humains mais aussi d’acteurs humains “passeurs” qui, en effectuant un travail de rapprochement, en entretenant et en réadaptant en permanence les ponts créés entre les mondes, permettent d’envisager la pérennisation de l’accès à la consommation de ces nouveaux services.
Arts-Based Multiliteracies
Authors: Peters Beryl , Mongeon-Ferré Julie
Published: October 2024

This chapter proposes the concept of Arts-Based Multiliteracies (ABM) grounded in arts literacies (Barton, 2020), critical literacies (Kaya et al., 2022), complexity thinking (Davis & Sumara, 2006), and expanded literacies, including multiliteracies (New London Group, 1996) and multimodality (Kress, 2009). The authors argue for the importance and potentiality of ABM and provide contextual examples to illustrate ways of making and communicating meaning through multimodal ensembles with the arts and other literacies. Arts literacies are threaded with expanded literacies, critical literacies, and complexity thinking to conceptualize Arts-Based Multiliteracies. Dimensions of Arts-Based Multiliteracies are described and potentials for ABM design are discussed. The chapter concludes with the challenges and promises of Art-Based Multiliteracies and with the hope that the embodied, emotional, and relational potentials of Arts-Based Multiliteracies may provoke social change and inspire and transform teaching and learning.
AI and AR in the Elementary School Art Class
Authors: Mossalim Jihane
Published: October 2024

This chapter explores integrating Artificial Intelligence (AI) and Augmented Reality (AR) into elementary art education. Traditional art classrooms remain largely unchanged, contrasting sharply with tech-enhanced educational areas, highlighting the need for a modernized approach. This includes expanding literacy to encompass visual and digital forms, essential in today's era, as discussed by the New London Group (1996) and Kalantzis & Cope (2012). The practical use of AI and AR introduces novel ways for students to engage with and create art, enhancing interaction with artworks through immersive experiences. The chapter also addresses implementation challenges, like the need for teacher training, and proposes collaborative solutions to integrate AI and AR effectively. By adopting these technologies, art education can become more inclusive, engaging, and suitable for preparing students for a rapidly evolving world.
Video Games Are Art
Authors: Price Aaron
Published: October 2024

There is considerable discourse regarding the status of video games as an artform, a narrative art, a form of play, or any combination of the preceding, and many have turned to literature from film, animation, game, and media studies to further these claims. When considering approaches to teaching arts multiliteracies, these ideas of video games as arts, narratives, and/or sites of play can serve to further pedagogical goals. This chapter explores three approaches for teaching arts multiliteracies via video games: teaching around, alongside, or through video games, where video games are either physically absent, directly utilized, or created as learning. Methods explored within these approaches include gamification and game-based pedagogy, game-inspired student works, community field trips to video game performances/exhibitions, edutainment games, video games which serve as an artistic medium, demonstrations, immersive “real-world” video game production programs, game designs toward social justice, and interdisciplinary collaborative opportunities in video game creation.
Multimodal GAI in Arts-Based Multiliteracies
Authors: Hutson James
Published: October 2024

This chapter proposes an innovative integration of multimodal generative artificial intelligence (GAI) interfaces within the framework of arts-based multiliteracies. It argues for the indispensability of such integration in dismantling traditional hierarchies that prioritize reading and writing over other semiotic systems. The chapter elucidates how leveraging GAI interfaces in education reinforces the significance of arts-based semiotic sign systems, thereby challenging the longstanding supremacy of text-centric literacies. It further demonstrates how these advanced technological tools can facilitate interdisciplinary educational strategies across fine and performing arts, enabling a seamless appreciation and engagement with various art forms. This approach effectively removes creative barriers, encouraging cross-disciplinary pollination previously hindered by the compartmentalization of artistic disciplines.
Visual Arts Literacies and Neuroaesthetics
Authors: Voz Alix , Voz Artina M
Published: October 2024

This chapter explores how visual arts literacy, neuroaesthetics, and the creative process enhance education. It emphasizes critical thinking, creativity, and cultural understanding through analyzing visual language. Neuroaesthetics harnesses art's cognitive and emotional impacts to improve learning outcomes. The creative process, a vital tool for teaching and learning, fosters curiosity, experimentation, and personal expression. Engaging with art enhances executive functions vital for 21st-century skills. Overall, integrating these elements creates a dynamic learning environment, enriching students' cognitive and emotional intelligence.
Cultivating Visual Arts and Multimodal Explorations in Teacher Education
Authors: Doyle-Jones Carol
Published: October 2024

This research emerged from exploring and uncovering ways, means, and modes to reflect upon challenging subjects in teacher education literacy classrooms, while modelling how responsive dialogue can take various forms to be more inclusive and equitable for all learners. Responsive dialogue includes creating and maintaining space for deeper discussion around topics through arts-based responses to texts. Exploring elements of storytelling, identity building, and the integration of arts-based pedagogies, visual arts provides a way into reflecting upon important current and social justice issues through literacies. Through Actor Network Theory and an Art Research Integration approach, teacher candidates reflect upon and share artistic events-in-practice to explore the guiding question: What happens when we cultivate art spaces in our teaching with teacher candidates?
Leveraging Multimodal Onto-Epistemology in Pedagogical, Curricular, and Research Contexts
Authors: Abbas Lalai , Luce-Kapler Rebecca
Published: October 2024

The concepts of ‘multimodality' and ‘multiliteracies' are sometimes used interchangeably in education discourses. In this chapter, multimodality is reconceptualized, not as a newfangled idea for enriching the literacy competencies of students, but rather as an onto-epistemology without which our meaning-making processes would always run the risk of insufficiency and inadequacy in curricular, research, and pedagogical contexts (Abbas, 2023). The basic premise is that reality, human ontology, and our perceptions of both, are inherently, irrevocably, and ineluctably multimodal (Abbas, 2023). Additionally, the pedagogical, curricular and research implications of a multimodal onto-epistemology or movement-thinking (Abbas, 2023) are discussed. Without this reconceptualization, reaching a socially shared understanding of a culturally and historically responsive curriculum, and a just world, may both remain elusive despite the best of intentions on the part of the multiple stakeholders. As such, multimodality is presented as a framing context for all curricular and pedagogical discourses.
An Arts-Based Multiliteracies Approach to Exploring International Art-Themed Picturebooks
Authors: Sotirovska Vera
Published: October 2024

This chapter focuses on international art-themed picturebooks as bridges for facilitating cross-cultural knowledge in literacy education (Cope & Kalantzis, 1997; Kuby & Vaughn, 2015; Stornaiuolo et al., 2017). By taking an arts-based multiliteracies approach, the author explores international art-themed picturebooks aimed at K-3 classroom practices (Dallacqua et al., 2022). Drawing on critical analysis (Kress & Van Leeuwen, 1996; Lewison et al., 2002) and notions of geographical contexts, identity representations, and cultural funds in children's literature (González et al., 2006), the author looks at representational illustrations through depictions of arts-based metaphors as tangible heritage artifacts. The purpose was to ask questions of literacy practice about whose culture has capital (Yosso, 2005), whose culture is represented (Bishop, 1990), and how it is actualized through children's literature. Scaffolded supports for engaging with and understanding international children's literature (Sipe, 2012) are provided and discussed within elementary school classroom contexts.
Arts-Integrated Multiliteracies as Dialogic Catalysts With English Language Learners in a Canadian University
Authors: Chi Chenkai , Hassan Mehdia , Sameshima Pauline
Published: October 2024

This study examines the utility of an arts integrated multiliteracies approach called Parallaxic Praxis (PP) in English language learning among English language learners in a Canadian university. It focuses on how this approach influences learning and the insights gained from its application. The research focused on two participants' experiences in the Learning English Through the Arts program. Data was gathered through participant observation and interviews. Findings reveal that the PP model enables social justice by serving both as a research tool that values and encourages the diverse perspectives of participants and researchers, and a pedagogical tool that fosters self-identity formation and knowledge-sharing. This approach shifts the landscape of English language education beyond a deficit thinking model. Furthermore, integrating arts with multiliteracies is highlighted as a vital disposition for addressing the learning needs of English language learners. The study offers productive implications for English language teaching policies and pedagogical strategies for ESL teachers.
How to Monitor a School Garden With Micro Bit
Authors: López Alejandro Carlos C. L. Campina , Lorca-Marín Antonio , las Heras Pérez Mariángeles De , Delgado-Algarra Emilio José
Published: October 2024

This chapter provides a comprehensive guide for setting up and programming sensors to monitor a school garden using Micro Bit boards. The project aims to meet the digital competence and computational thinking requirements specified in the Spanish curriculum (LOMLOE) and align with ISTE standards. It proposes a detailed STEAM (Science, Technology, Engineering, Arts, and Mathematics) sequence for implementing sensors in the school garden, following a structured learning process: motivation, activation, exploration, structuring, application, conclusion, and diffusion. By systematically monitoring parameters such as soil moisture, temperature, humidity, light intensity, and soil pH, students can make informed decisions about garden management. This hands-on, interdisciplinary approach enhances students' understanding of scientific concepts and promotes skills in programming, data analysis, and critical thinking.
Exploring Virtual Reality as a Means to Enhance Historical Understanding
Authors: Navarro-Neri Iñaki , Aso Borja , Rivero Pilar
Published: October 2024

Virtual Reality is an increasingly widespread technology in the world of entertainment and education. The existing scientific literature indicates that more educational proposals and research are needed to measure the effectiveness of using this technology, as there are studies that demonstrate its effectiveness, but there are also investigations that show that its use does not constitute a significant advancement in the teaching-learning process. Therefore, this chapter presents a model of a didactic proposal carried out in the Primary Education Degree program, specifically in the Virtual Reality Laboratory of the Public University of Navarra, using the free applications “Anne Frank House VR” and “Home After War”. Through the use of Meta Quest VR glasses, students are guided in the use of VR with a double objective: to introduce students to this technology and make them reflect on its didactic possibilities; and to use these applications to help students develop historical thinking.
Strengths and Opportunities of Artificial Intelligence in Modeling, Argumentation, and Inquiry in the Experimental Science Classroom
Authors: Palmeiro Lizbeth Labañino , Marín Antonio Alejandro Lorca , las Heras Pérez Mariangeles De
Published: October 2024

This chapter explores the integration of Artificial Intelligence (AI) in the teaching of Experimental Sciences, marking a significant change in pedagogical approaches. Through processes such as Modeling, Argumentation and Inquiry, AI personalizes learning experiences according to the individual rhythms of each student, promoting innovation and adaptability. AI enhances educational personalization, allowing students to explore complex simulations and deepen their understanding of scientific phenomena. Tools such as AI-enriched learning environments provide immediate and adaptive feedback, essential for deeper learning, thus renewing traditional methods and introducing cutting-edge pedagogical practices. This chapter relies on a Strengths and Opportunities analysis to demonstrate how AI can transform science education. The goal is to propose AI tools that, with up-to-date practical examples, will enrich primary and secondary education by incorporating emerging technologies. In addition, guidelines for effective classroom implementation will be adapted and provided.
A Comprehensive Approach to the Integration of Intelligent Systems in the Didactic of Social and Cognitive Studies
Authors: Umamaheswari P.
Published: October 2024

The potential of artificial intelligence (AI) to transform the teaching and learning of social and experimental sciences is examined in this book chapter. Advances in AI technology have provided educators with innovative resources and methods to enhance student academic achievement. This chapter thoroughly investigates the integration of AI-driven techniques in various academic settings, including psychology, sociology, anthropology, and experimental sciences. It explores the scientific foundations and practical applications of AI, such as data analytics, natural language processing, and machine learning algorithms, to support students in developing their critical thinking, problem-solving, and conceptual understanding. Moreover, the chapter discusses the ethical considerations and challenges associated with using AI in education, emphasizing the importance of inclusive practices and responsible implementation.
Building Collaboration Among Teacher Candidates in Higher Education
Authors: Ayantaş Tolgahan , Gürgen Gürcan
Published: October 2024

This study aims to unveil teacher candidates' progress in lesson planning using the Lesson Study (LS) approach. Through action research, lesson plans generated by teacher candidates underwent content analysis and subsequent interviews. The findings revealed that collaborative work among social studies teacher candidates led to more feasible and content-rich lesson plans. The study underscores the efficacy of collaborative work in producing more viable and content-rich lesson plans. These outcomes underscore the potential of LS Teams to contribute to the professional growth of teacher candidates and deepen their understanding of their field.
Fostering Effective Communication and Information Sharing in Higher Education Institutions
Authors: Letsie Hlompho Cynthia , Mncina Tsepiso Claurina , Nkhi Sekoai Elliot , Mofana Mofana Mongali
Published: October 2024

Effective communication is crucial for cohesive team dynamics in higher education settings, going beyond individual interaction. This chapter discussed the effective communication and information sharing towards the development effective and high Performing teams in higher education. In higher education institutions, email, bulletin boards, messaging applications, and questionnaires are efficient means of communication in order for high performing teams. It is revealed that communication obstacles including language, cultural, psychological, emotional, environmental, and physical barriers are the main hindrance of effective communication. In order to surmount these challenges, the study proposes an emotional intelligence model of communication to overcome the identified obstacles because they have psychological impact on communicators and for the development of high performing teams. As a result, recommend that self-acknowledgment and positive interpersonal relationships, which are fundamental components of emotional intelligence be considered to develop high performing teams.
The Teamwork Equation
Authors: Williams-Shakespeare Eraldine S. , Burris-Melville Tashieka S. , Allen Clavery O. , Barrett-Maitland Nadine A. , Allen Denise , Salmon Atherine Anneth Marie , Lawla Joan L. , Johnson Robert A. , Williams Meredith
Published: October 2024

This study examined the critical link between team dynamics and effectiveness within an academic staff union. The research underscores the importance of teamwork in achieving union success, particularly in an environment where workers' rights can be overshadowed. The investigation explored how strong team dynamics, characterized by dedication, collaboration, and strategic maneuvering, empower academic staff unions to secure and uphold faculty well-being. A convergent parallel mixed-methods approach was employed. The study's findings highlight the importance of team dynamics and collaboration within academic staff unions.
Principles and Frameworks
Authors: Subash Banala , Whig Pawan
Published: October 2024

This chapter delves into the foundational principles and frameworks that underpin the ethical development and deployment of artificial intelligence (AI). It begins by exploring the historical context and evolution of AI ethics, highlighting key philosophical and theoretical underpinnings. The chapter then examines core ethical principles such as beneficence, non-maleficence, autonomy, justice, and explicability, discussing their relevance and application in AI. Various ethical frameworks, including consequentialism, deontology, and virtue ethics, are analyzed in the context of AI decision-making processes. Additionally, the chapter addresses the role of international guidelines and regulatory standards in shaping ethical AI practices. By providing a comprehensive overview of these principles and frameworks, this chapter lays the groundwork for understanding the complex ethical landscape of AI and offers guidance for developing responsible and human-centered AI technologies.
Ethical Dimensions of AI Development
Authors: Chakraborty Partha Pratim
Published: October 2024

Artificial Intelligence has emerged as a revolutionary technology with the potential to transform various fields, including research, computing, and practitioner communities. However, this rapid progress necessitates addressing the ethical aspects of AI development. This paper introduces the concept of sustainable AI, which incorporates sustainable development principles into the design and implementation of AI systems. Sustainable AI aims to ensure that AI development and usage align with long-term social, economic, and environmental objectives by considering tensions between AI innovation and equitable resource distribution, inter/intra-generational justice, and the relationship between environment, society, and economy . By drawing on sustainability ethics foundations, this paper emphasizes examining the environmental impacts of A I while advocating for a more eco-friendly approach to its development.
Accountability and Transparency Ensuring Responsible AI Development
Authors: Meduri Karthik , Podicheti Srikar , Satish Snehal , Whig Pawan
Published: October 2024

In the rapidly evolving landscape of artificial intelligence (AI), the principles of accountability and transparency are pivotal in ensuring ethical and responsible development. This chapter delves into the fundamental concepts and practical applications of accountability and transparency within AI systems. It begins by outlining the importance of these principles in mitigating risks such as bias, privacy infringement, and unintended consequences. The discussion progresses to explore methodologies and frameworks that promote transparency in AI algorithms, decision-making processes, and data usage. Additionally, the chapter examines the role of stakeholders—developers, policymakers, and users—in fostering a culture of accountability throughout the AI lifecycle. Through case studies and real-world examples, this chapter aims to provide a comprehensive guide for practitioners, researchers, and policymakers striving to navigate the ethical complexities of AI development while upholding societal trust and responsibility.
Bias and Fairness Addressing Discrimination in AI Systems
Authors: Pulivarthy Padmaja , Whig Pawan
Published: October 2024

As artificial intelligence (AI) becomes increasingly pervasive in decision-making processes across various sectors, concerns about bias and fairness have risen to the forefront of ethical discussions. This chapter delves into the complex landscape of bias in AI systems, exploring its origins, manifestations, and implications for societal equity. We examine how biases can inadvertently infiltrate algorithms through data collection, preprocessing, and model training phases, leading to discriminatory outcomes against certain demographic groups. Moreover, we explore methodologies and frameworks aimed at mitigating bias, such as fairness-aware algorithms, bias detection techniques, and diversity-enhancing approaches. Ethical considerations and regulatory efforts are also scrutinized, highlighting the urgent need for transparency and accountability in AI development. By addressing these issues comprehensively, this chapter aims to contribute to the ongoing dialogue on fostering inclusive and equitable AI systems that uphold fundamental human rights and dignity.
Navigating Bias and Fairness in Digital AI Systems
Authors: Tariq Muhammad Usman
Published: October 2024

In an era where AI advancements permeate various facets of daily life, ranging from healthcare decision-making to personalized content delivery, the potential for biases to exacerbate societal inequalities has become a pressing concern. The chapter commences by defining and scrutinizing various forms of bias in artificial intelligence, elucidating their tangible effects through compelling case studies. Subsequently, it explores the theoretical foundations of fairness in AI, considering conceptual frameworks such as distributive justice and procedural fairness while addressing the challenges of operationalizing these principles. The section delves into methods and tools for identifying and measuring bias in AI datasets and algorithms, introducing metrics and benchmarks to assess fairness in AI outcomes. Strategies and best practices for mitigating bias are examined, encompassing approaches such as data preprocessing, algorithmic adjustments, and post-hoc corrections.
Societal Impact and Governance
Authors: Nadella Geeta Sandeep , Meduri Sai Sravan , Maturi Mohan Harish , Whig Pawan
Published: October 2024

The rapid advancement of artificial intelligence (AI) is reshaping various aspects of society, from healthcare and education to employment and entertainment. This chapter delves into the profound societal impacts of AI technologies and the crucial role of governance in steering their development and deployment. It explores the multifaceted effects of AI on economic structures, social interactions, and individual well-being, highlighting both the potential benefits and the inherent risks. Through a comprehensive analysis of current regulatory frameworks and governance models, the chapter identifies key ethical challenges and proposes strategies for ensuring that AI advancements align with societal values and human rights. Emphasis is placed on the necessity of inclusive policymaking, where diverse stakeholder voices are heard, and on the development of international standards that promote transparency, accountability, and fairness.
Ethical Considerations in Using Fuzzy Artificial Intelligence for Detecting Fake Reviews
Authors: Firos A. , Khanum Seema
Published: October 2024

This chapter examines Fuzzy Artificial Intelligence (FAI) as a solution for detecting fake reviews, a growing concern in digital marketplaces. FAI combines fuzzy logic with artificial intelligence to assess the authenticity of reviews by analyzing linguistic variables and producing a desirability score that indicates the likelihood of a review being genuine. Unlike traditional models, FAI handles ambiguity, improving detection accuracy. Results show that FAI outperforms conventional methods, offering deeper insights into review authenticity. The chapter highlights FAI's role in enhancing online trust, protecting consumers, and ensuring reliable decision-making. With its ability to adapt to new data, FAI is crucial for maintaining the integrity of online marketplaces and creating a trustworthy digital environment.
Deciphering Ethics and Privacy in Artificial Intelligence Through Bibliometric
Authors: Ray Samrat
Published: October 2024

This study offers a bibliometric review of AI ethics and privacy research, with a focus on trends, topics, and deficiencies. Employing citation, co-citation, and keyword analysis, it reveals significant topics like algorithmic bias, transparency, and data privacy. These issues received moderate concern from 71 participants, and the results showed the correlations between transparency, data protection, and ethical guidelines are significant. Thus, ANOVA results reveal the significance of these predictors for privacy perceptions. The study also points out that the field of AI ethics research is dynamic and identifies potential trajectories for research.
The Role of Multi-Modal Sentiment Analysis in Optimizing Leadership Communication
Authors: Khosla Ashish , Gupta Gaurav
Published: October 2024

Leadership involves more than words, and good communication can help achieve any goal. Effectiveness depends. To understand, multi-modal sentiment analysis uses multiple data sources. This strategy provides insights to improve machine learning modelling. This study optimises leadership communication via visual, auditory, and spoken sentiment analysis. Visual analysis examines facial expressions and body language; vocal analysis studies speech, emotion tones, linguistic cues, and fluency. Machine learning and natural language processing boost leadership communication emotional awareness in three key areas with multi-modal sentiment analysis. Leadership training using multi-modal sentiment analysis and real-time feedback improves empathy and communication. Highlighting multi-modal leadership communication highlighted this growing technology and technique's data integration, interpretability, and scalability problems.
Sustainable Marketing and Business Actions
Authors: Mandal Pratap Chandra
Published: October 2024

Companies should ensure sustainability in their business and marketing strategies. The objective of the study is to conduct an analysis of the marketing strategies and actions of companies and the marketing systems which aim to ensure sustainable marketing. The methodology adopted is a conceptual analysis of various marketing actions of companies and of sustainable marketing practices. Companies adopt sustainable marketing strategies viz. consumer-oriented marketing, customer value marketing, innovative marketing, sense-of-mission marketing, and societal marketing. They adopt initiatives to ensure sustainable marketing and sustainability. Academicians may analyze various aspects of sustainable marketing and suggest the best practices. Practicing managers may analyze the various strategies and initiatives adopted by companies and suggest the best and the most effective practices for their own organizations to ensure sustainability in their business and marketing actions and to achieve business excellence in the long run.
New Product Development
Authors: Saytari Mona Bilal , Saab Aline Elias , Haidar Christine Ghassan , Barakat Elissa Tony , Idriss Lara Issam , Nemer Leonie Issam , Daaboul Maria Tony , Sassine Rita Joe , Nasr Sana Salah , El Nemar Sam
Published: October 2024

The business landscape is changing in a fast way. This change necessitates gaining a competitive advantage in order to continuously innovate. One way to sustain the key advantages of successful new product development is to use collaboratively or independently the resource-based view (RBV) and the dynamic capabilities-based theory (DCBT). Both frameworks will be examined in the following literature. The introduction will highlight the objectives of the review. Adding to that, it will examine the significant role that NPD plays in organizational prosperity. Moreover, after identifying each concept and framework, a specific section will be responsible for identifying possible synergies between RBV and DCBT. Finally, the last part will include suggestions for more research made in the review's conclusion. Adding to the suggestions and in line with the further exploration within RBV and DCBT in NPD, potential avenues for gathering the two frameworks may be included in these recommendations.
Insurtech Alchemy
Authors: Kaur Arvinder , Kumar Pawan
Published: October 2024

The insurance sector witnessed greater productivity, competitive advantage, and income by implementing artificial intelligence, machine learning, and blockchain as sustainable business solutions. The digitalization of the insurance sector is inferred as a supplement to data alchemy, which becomes instrumental in converting raw data into valuable insight and actionable tactics by implementing machine learning techniques. The study aims to disclose the determinants of adopting innovative technology-driven insurance models, digital trends, and the challenges confronted. The quantitative research method analyzed secondary data from government websites to assess digitalization's impact on insurance spending based on a country-wise analysis. The emergence of digitalization and innovative insurance business models witnessed a 16% spike in insurance spending (% of GDP) globally within seven years, from 2013 to 2020. Insurtech reached 3.85 billion USD in 2021 with the expectation of achieving a 51.7% CAGR up to 2030, as per the Organization for Economic Cooperation and Development (OECD).
Music Recommendations System by Facing Emotion Using Quantum Analysis
Authors: Kandaswamy Dharani , Akshaya Tokala , Bezaleel Donam , Anitha T. , Dinesh K.
Published: October 2024

The face is a crucial feature in predicting people's feelings and temper. Usually, human feelings are captured on digital. Many programs have evolved primarily based on detecting human emotions. Some of the programs of motion detection are site visitor's notification advice, gaining knowledge of, intellectual disorders and statement detection, crook behavior detection, and many others. In this proposed device, the authors increase a dynamic prototype tune advice gadget primarily based on human emotions. By being attentive to every pattern, songs for each mood are learned. Integrating feature extraction and device mastering abilities, emotions are diagnosed from real faces, and whilst moods are derived from an input image, songs related to particular moods are suggested to users. With the quantum analysis technique, the app connects with human feelings, giving users a unique experience. Therefore, the designed gadget apprehends human feelings to create an emotion-based music player.
Quantum Network Applications in AI-Driven Risk Management
Authors: Tyagi Swati , Pathak Supriya , Raj Vijilius Helena , Laxminarayanamma K. , Singh Navdeep , Dhanraj Joshuva Arockia
Published: October 2024

The integration of quantum networks with AI-driven systems holds transformative eventuality for threat operation across colorful diligence. This chapter explores the innovative operations of quantum networks in enhancing AI-driven threat operation strategies. Quantum networks offer unknown computational power and security features, enabling more sophisticated and accurate threat assessment models. By using quantum computing's capability to reuse vast quantities of data and perform complex computations at unknown pets, AI algorithms can identify and alleviate pitfalls with lesser perfection. Also, quantum cryptography ensures robust data protection, addressing security enterprises essential in threat operation. The chapter discusses the community between quantum networks and AI, pressing case studies, and practical executions in finance, healthcare, and cybersecurity. It also addresses the current challenges and unborn prospects of integrating these advanced technologies. The findings suggest that quantum network operations can significantly elevate the effectiveness.