Artnimatology: A Brief Introduction

The term ARTNIMATOLOGY was created by Michael Ebere Chidubem in 2022. 

Artnimatology is derived from the combination of three words: art, animation and ology. The core of the concept is envisioned to explore opportunities of intersection between a variety of multiple art forms and practices within a specific context with a view to gaining new knowledge, discovering new meanings as well as providing opportunities for information retention.

 

Artnimatology is inspired by the concept of interdisciplinary research where investigations around a subject is informed by a variety of disciplinary perspectives and contributions integrated to arrive at a systemic or holistic outcome. This is done by engaging in research for relevant solutions to problems, transcending the limitations of ‘expertise borders’ and engaging with specialists from multiple fields.

 

Artnimatology is projected to be dynamic in implementation by integrating information, techniques, data, perspectives, tools, theories, or concepts from multiple bodies of specialized knowledge (disciplines) thus advancing fundamental understanding that aids in tackling problems whose solutions might transcend the scope of one discipline or an area of research practice.

Potential

The concept seeks to equally support the discovering of new ideas, hidden interconnectedness, and interwoven meanings. By providing opportunities for creators and other professionals to explore new collaborative processes as well as express themselves in ways that are not possible through traditional forms and practices alone, artnimatology has the potential to provide new knowledge by evoke emotions, create new worlds, challenge expectations, and enhance engagement and knowledge retention and recall through dynamic storytelling. In doing so, artnimatology could provide the audience with a unique and immersive experience that can transform their perception of a context and its meaning.

Methodology (continued)

Furthermore, while quantitative methods offer breadth through numerical data and statistical analysis, qualitative methods provide depth by capturing the intricacies of human experiences (Tashakkori, 2010). In many cases, quantitative data alone cannot fully explain certain behaviours or phenomena, which is where qualitative insights are valuable. By using different data methods in this research, corroboration of findings is possible thereby minimizing the biases that might be inherent in a single-method approach (Denzin, 2012). Additionally, the mixed-method approach was adopted in this research because it can be particularly useful when one set of data is used to inform the other. For instance, qualitative findings may inform the development of a quantitative survey, ensuring that the questions are grounded in real-world experiences (Bryman, 2006).

Methodology (continued)

By integrating both qualitative and quantitative approach, researchers can develop a more complete picture of the research problem, especially in a subject like variable assessment which is relatively new to the animation course at the University of Brighton. This is particularly valuable in fields such as education, healthcare, and social sciences, where both numerical trends and personal experiences are important (Johnson, Onwuegbuzie, & Turner, 2007).

The survey data from this research is analysed using content analysis and thematic analysis methods. Kondracki, Wellman, and Amundson (2002) noted that the foundation of content analysis is the idea that texts are a rich source of data that have a lot of potential to disclose important details about specific phenomena. This process involves sorting text into groups of related categories by taking the participant and context into account thereby finding patterns, associations, similarities and differences that are both overt and implicit in the text. Similarly, the choice of thematic content analysis (TCA) in understanding the data in this research is because according to Anderson (2007), it is important to identify and study recurring themes in the texts submitted for analysis which is fundamental to gaining insight about participants’ perceptions

“...the mixed-method approach was adopted in this research because it can be particularly useful when one set of data is used to inform the other. For instance, qualitative findings may inform the development of a quantitative survey, ensuring that the questions are grounded in real-world experiences.”

[Bryman, 2006]

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