PLOT GENERATOR AS DIGITAL TOOL IN ASSISTING THE TEACHER IN WRITING ACTIVITY

This research aims to know how Plot Generator in assisting the teacher in a writing activity.This research used survey research design with quantitative method. Three English teachers participated as subjects of the research in senior high education in BARRU. The steps of collecting data were conducted by observation and questionnaire, The observation was conducted by distributed questionnaires to guide data as prior knowledge before conducting research. Questionnaire as the instrument of the research to gain the information related plot generator in assisting teacher in writing activity. The data were analyzed by using Likert Scale that presented by quantitative data. The results of this study indicate that Plot Generator assists the teacher in a writing activity by assist of function, source and content that is presented by teachers’ perception toward Plot Generator.

Enhancing South Asian Folktales through Mixed Reality: Exploring Accessibility, Contextualization, and Discovery

The rich cultural heritage of South Asian folktales gets shared across generations through various storytelling styles and channels, such as oral traditions, books, cartoons, comics, and blogs. However, with the rapid evolution of new media, there is a growing need to adapt these traditional stories to modern formats to ensure their continued accessibility, contextualization, and discovery. This project aims to explore the potential of Mixed Reality (MR) in enhancing the experience of South Asian folktales by creating immersive and engaging story environments that connect to their geographical roots. Using Research Through Design (RTD) methodology, I iteratively developed and evaluated prototype setups to identify critical design decisions that shape the user experience. The findings from this study will provide insights into the design of MR applications for storytelling and contribute to the preservation and dissemination of South Asian folklore in the digital age

Player agency in interactive narrative: audience, actor & author

The question motivating this review paper is, how can computer-based interactive narrative be used as a constructivist learn- ing activity? The paper proposes that player agency can be used to link interactive narrative to learner agency in constructivist theory, and to classify approaches to interactive narrative. The traditional question driving research in interactive narrative is, ‘how can an in- teractive narrative deal with a high degree of player agency, while maintaining a coherent and well-formed narrative?’ This question derives from an Aristotelian approach to interactive narrative that, as the question shows, is inherently antagonistic to player agency. Within this approach, player agency must be restricted and manip- ulated to maintain the narrative. Two alternative approaches based on Brecht’s Epic Theatre and Boal’s Theatre of the Oppressed are reviewed. If a Boalian approach to interactive narrative is taken the conflict between narrative and player agency dissolves. The question that emerges from this approach is quite different from the traditional question above, and presents a more useful approach to applying in- teractive narrative as a constructivist learning activity

Writing in Practice

Volume 6 of Writing in Practice offers an exciting blend of exegetic reflection, essential and individual research approaches that consider the writing process both in minute detail and in multiple and far reaching contexts, including cultural, experiential, educational and publishing settings. The essays reflect wide-ranging engagement and critical analysis in considering what it is to write, what it means to encourage and teach others to write, and how it might be possible to seek different ways of investigating the creative process. The angles of focus brought to bear in this issue reveal the subject area to be alive and healthy. Writing is an activity that demands many hours, days and weeks of lockdown-type solitude. Yet it is an activity, as we are aware, that also demands a working knowledge of social, emotional, artistic and every-day spheres. Writing as an activity, in this sense, seems to speak to and of our times

Shape, Space and Typeface: Mapping Black Subjectivity through Caribbean Aesthetics

The Caribbean is frequently imagined and aestheticized by the image of the basin, which limits the way the region is confined in geographic and historic terms. By conceptualizing the poets as mapmakers, the collections by Kei Miller, Olive Senior, and M. NourbeSe Phillip reference the container of the basin but remediate it in poetic terms. The movement towards a distinctive lack of containment illustrates the dynamic literary and geographical operations of the Caribbean, linking typography and topography. Reading with a new lens, including digital resources that re-spatialize these poems, demonstrates the complexities that characterize the formation of these texts and how they resist neat containers and containment, thereby charting new ways to redraw and reimagine places and spaces

Computational Stylistics in Poetry, Prose, and Drama

The contributions in this edited volume approach poetry, narrative, and drama from the perspective of Computational Stylistics. They exemplify methods of computational textual analysis and explore the possibility of computational generation of literary texts. The volume presents a range of computational and Natural Language Processing applications to literary studies, such as motif detection, network analysis, machine learning, and deep learning

Information Theoretic Methods For Biometrics, Clustering, And Stemmatology

This thesis consists of four parts, three of which study issues related to theories and applications of biometric systems, and one which focuses on clustering. We establish an information theoretic framework and the fundamental trade-off between utility of biometric systems and security of biometric systems. The utility includes person identification and secret binding, while template protection, privacy, and secrecy leakage are security issues addressed. A general model of biometric systems is proposed, in which secret binding and the use of passwords are incorporated. The system model captures major biometric system designs including biometric cryptosystems, cancelable biometrics, secret binding and secret generating systems, and salt biometric systems. In addition to attacks at the database, information leakage from communication links between sensor modules and databases is considered. A general information theoretic rate outer bound is derived for characterizing and comparing the fundamental capacity, and security risks and benefits of different system designs. We establish connections between linear codes to biometric systems, so that one can directly use a vast literature of coding theories of various noise and source random processes to achieve good performance in biometric systems. We develop two biometrics based on laser Doppler vibrometry: LDV) signals and electrocardiogram: ECG) signals. For both cases, changes in statistics of biometric traits of the same individual is the major challenge which obstructs many methods from producing satisfactory results. We propose a ii robust feature selection method that specifically accounts for changes in statistics. The method yields the best results both in LDV and ECG biometrics in terms of equal error rates in authentication scenarios. Finally, we address a different kind of learning problem from data called clustering. Instead of having a set of training data with true labels known as in identification problems, we study the problem of grouping data points without labels given, and its application to computational stemmatology. Since the problem itself has no true answer, the problem is in general ill-posed unless some regularization or norm is set to define the quality of a partition. We propose the use of minimum description length: MDL) principle for graphical based clustering. In the MDL framework, each data partitioning is viewed as a description of the data points, and the description that minimizes the total amount of bits to describe the data points and the model itself is considered the best model. We show that in synthesized data the MDL clustering works well and fits natural intuition of how data should be clustered. Furthermore, we developed a computational stemmatology method based on MDL, which achieves the best performance level in a large dataset

Computational Stylistics in Poetry, Prose, and Drama

The contributions in this edited volume approach poetry, narrative, and drama from the perspective of Computational Stylistics. They exemplify methods of computational textual analysis and explore the possibility of computational generation of literary texts. The volume presents a range of computational and Natural Language Processing applications to literary studies, such as motif detection, network analysis, machine learning, and deep learning