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Exploring the Effectiveness of Bite-Sized Learning for Statistics via TikTok
Get PDFBusiness statistics is an essential course in the curriculum of business degree programs. Statistics is traditionally a challenging course that may be met with trepidation by many students. A pedagogical approach known as bite-sized learning has gained popularity to alleviate the difficulties associated with comprehending complex concepts. This approach delivers content in manageable increments, reducing cognitive burdens. In tandem, instructors can leverage social media platforms to deliver bite-sized content, making the learning process more engaging and accessible. Among these platforms, TikTok, a widely popular social media platform, resonates with students for familiarity and engagement making it an ideal tool for delivering educational content. This research sought to investigate the effectiveness of implementing bite-sized learning strategies via TikTok within a business statistics course. The study divided students into treatment and control groups, administering pre-tests and post-tests. The treatment group, receiving TikTok supplemental material, demonstrated significantly higher scores than the control group, suggesting the efficacy of bite-sized lessons through TikTok in improving student performance. Moreover, the flexibility of using short-form videos as a supplemental tool makes them an effective resource for both in-class and online or distance learning environments, where students can engage with the material at their own pace
Addressing Climate Change Together: A Systems Thinking and Stakeholder Focused Intervention Perspective to Engaging SMEs on Carbon Emissions Reduction and Net Zero Schemes
No full textThe imperative of carbon emission reduction and the pursuit of Net Zero initiatives are increasingly recognized as pivotal in addressing the global climate crisis. Specific to businesses, adopting Net Zero initiatives ties-in with their social and environmental responsibility obligation. The idea of Social/Environmental Responsibility, and related concepts such as Environmental and Social Governance (ESG), is that businesses have a responsibility for the impact of their activities on society (i.e., stakeholders), and that this (i.e., impact) on stakeholders should be positive. ‘Positive impact’ has at least two main dimensions. First, the business’s activities are expected to have a positive impact on at least one of the triple bottom lines (environment, social and economic development). Secondly, it needs to ensure an appropriate provision is made for managing the potential negative impacts that (may) arise from business activity. The positive impact logic should apply to all businesses. However, the small business (i.e., SME) social responsibility context for Net Zero initiatives is not a common starting point for policy-makers and researchers. Correspondingly, understanding how Net Zero initiatives can be approached by this business category makes sense, not least because small firms are an important part of the economic and social landscape, consistently comprising more than 95% of private businesses around the globe. This chapter explores the crucial role of engaging diverse stakeholders in this endeavour, underscoring the need for inclusive, cooperative efforts to assist small businesses in transitioning to a low-carbon, sustainable future. Specifically, it examines the theoretical underpinnings and practical applications of stakeholder theory and system theory in environmental sustainability, focusing on carbon emission reduction and Net Zero initiatives that are relevant to the SME context
The Interplay of Data, Models, and Theories in Machine Learning
Get PDFThis paper discusses the role of data within scientific reasoning and as evidence for theoretical claims, arguing for the idea that data can yield theoretically grounded models and be inferred, predicted, or explained from/by such models. Contrary to Bogen and Woodward's skepticism regarding the feasibility and epistemic relevance of data-to-theory and theory-to-data inferences, we draw upon scientific artificial intelligence literature to advocate that: a) many models are routinely inferred and predicted from the data and routinely used to infer and predict data: b) such models can, at least in some contexts, play the role of theoretical device
AI and the Cluster Account of Art
Get PDFIs AI art really art? This question has been the subject of much public discussion and is one that philosophical aesthetics should be well-placed to address. Unfortunately, there is no clear consensus within the discipline on how to tackle key definitional questions such as this. In the case of AI, we can add to this the unique challenge of works not made by humans. In this chapter, I argue for the utility of a Wittgensteinian approach to the question of whether AI art is art. This typically repudiates the need to provide necessary and sufficient conditions, when addressing the topic of AI art. Using Gaut’s cluster account, I show that AI art can indeed count as art. I also demonstrate that the cluster account of art is particularly useful for thinking about art made by AI
Challenges in Conducting Feminist Critical Discourse Analysis on Social Media: Stereotyping Sportswomen in China’s Sports Fandom
Get PDFThis case study discusses the application of feminist critical discourse analysis (FCDA) in social media data analysis. The discussion is based primarily on a case study that uses FCDA to explore the stereotyping of sportswomen in China’s social-mediated sports fandom. It emphasizes the challenges and practical considerations involved in the design and implementation of the case study. In doing so, it provides insights into the research process and methodology, highlighting how FCDA helps to critically examine the male gaze and gender power dynamics within social-mediated sports fandom. By reading this case study, students will learn how to incorporate a feminist perspective into critical discourse studies in various research contexts. It is hoped that this case study will contribute to a broader understanding of the methodologic issues associated with FCDA research practices
Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication
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Crusade, Settlement and Historical Writing in the Latin East and Latin West, c.1100–c.1300
No full textThis collection offers a holistic understanding of the impact of both crusading and settlement on the literary cultures of Latin Christendom.
The period between the First Crusade and the collapse of the "crusader states" in the eastern Mediterranean was a crucial one for medieval historical writing. From the departure of the earliest crusading armies in 1096 to the Mamlūk conquest of the Latin states in the late thirteenth century, crusading activity, and the settlements it established and aimed to protect, generated a vast textual output, offering rich insights into the historiographical cultures of the Latin West and Latin East. However, modern scholarship on the crusades and the "crusader states" has tended to draw an artificial boundary between the two, even though medieval writers treated their histories as virtually indistinguishable.
This volume places these spheres into dialogue with each other, looking at how individual crusading campaigns and the Frankish settlements in the eastern Mediterranean were depicted and remembered in the central Middle Ages. Its essays cover a geographical range that incorporates England, France, Germany, southern Italy and the Holy Land, and address such topics as gender, emotion, the natural world, crusading as an institution, origin myths, textual reception, forms of storytelling and historical genre. Bringing to the foreground neglected sources, methodologies, events and regions of textual production, the collection offers a holistic understanding of the impact of both crusading and settlement on the literary cultures of Latin Christendom
Generative AI as a Tool for Thematic Analysis: An Exploratory Study with ChatGPT
Get PDFArtificial intelligence (AI) has seen rapid development in recent years and it has increasingly applied to various fields. Research is no exception. However, there is much to be explored in this domain. This study aims to explore the suitability of current generative AI applications for research purposes. The focus is on the generative AI’s capability to synthesise information as a potential alternative or supplement to human-based information synthesisation. In order to evaluate the effectiveness of the thematic analysis produced by generative AI, this study compares the generative AI-produced results by ChatGPT with human-generated results, based on the same set of papers. The results show generative AI produced very similar results to humans, in terms of the topics themselves and the number of topics identified. However, there are also some minor mismatches between generative AI and human results
Culture and Horticulture in Lambeth from 'Tradescant's Ark' to Vauxhall Gardens
Get PDFThis chapter looks at Vauxhall and traces its history in relation to culture and horticulture. It focusses on the Tradescants and their Musaeum Tradescantianum and on Vauxhall Gardens from the Seventeenth through to the mid Nineteenth Century
A Comparison of the Mechanisms and Activation Barriers for Ammonia Synthesis on Metal Nitrides (Ta3N5, Mn6N5, Fe3Mo3N, Co3Mo3N)
Get PDFIn this study we perform a comparison of the reaction mechanism and the activation barrier for the rate-determining step in various metal nitrides (Ta3N5, Mn6N5, Fe3Mo3N, Co3Mo3N) for the ammonia synthesis reaction. The reactions are explained with simplified schematics and the energy profiles for the various reaction mechanisms are given in order to screen the catalytic activity of the catalysts for the ammonia synthesis reaction. We find that the catalytic activity ranks in the following order: Co3Mo3N > Fe3Mo3N > Ta3N5 > Mn6N5. We also find that the reaction mechanism proceeds either by a Langmuir–Hinshelwood and an Eley–Rideal/Mars–van Krevelen mechanism. This is an overview of about 10 years of computational research conducted to provide an overview of the progress established in this field of study