Designing Storyboard for Teaching Writing on Recount Text at Grade Tenth

This research was conducted with the objective of creating learning media for teaching writing skills to tenth-grade students at SMAN 5 Batam. The main focus was on designing a storyboard learning media that would enhance student’s motivation to learn writing, making the learning process more engaging and encouraging active participation, especially in writing recount texts. The researcher concentrated on the topic of recount texts for tenth-grade students. The research and development (R&D) approach was employed, utilizing the ADD model by Dick & Carry, which consisted of three stages: analyzing, designing, and development. Data were gathered through interviews and validation sheets. The storyboard teaching materials successfully met the validity criteria, with material validation scoring 82,2% and media validation scoring 80%. Consequently, the storyboard-based teaching materials were deemed suitable for implementation in the classroom to enhance students learning

Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling

Visual analytics usually deals with complex data and uses sophisticated algorithmic, visual, and interactive techniques. Findings of the analysis often need to be communicated to an audience that lacks visual analytics expertise. This requires analysis outcomes to be presented in simpler ways than that are typically used in visual analytics systems. However, not only analytical visualizations may be too complex for target audience but also the information that needs to be presented. Hence, there exists a gap on the path from obtaining analysis findings to communicating them, which involves two aspects: information and display complexity. We propose a general framework where data analysis and result presentation are linked by story synthesis, in which the analyst creates and organizes story contents. Differently, from the previous research, where analytic findings are represented by stored display states, we treat findings as data constructs. In story synthesis, findings are selected, assembled, and arranged in views using meaningful layouts that take into account the structure of information and inherent properties of its components. We propose a workflow for applying the proposed framework in designing visual analytics systems and demonstrate the generality of the approach by applying it to two domains, social media, and movement analysis

Guidance in the human–machine analytics process

In this paper, we list the goals for and the pros and cons of guidance, and we discuss the role that it can play not only in key low-level visualization tasks but also the more sophisticated model-generation tasks of visual analytics. Recent advances in artificial intelligence, particularly in machine learning, have led to high hopes regarding the possibilities of using automatic techniques to perform some of the tasks that are currently done manually using visualization by data analysts. However, visual analytics remains a complex activity, combining many different subtasks. Some of these tasks are relatively low-level, and it is clear how automation could play a role—for example, classification and clustering of data. Other tasks are much more abstract and require significant human creativity, for example, linking insights gleaned from a variety of disparate and heterogeneous data artifacts to build support for decision making. In this paper, we outline the potential applications of guidance, as well as the inputs to guidance. We discuss challenges in implementing guidance, including the inputs to guidance systems and how to provide guidance to users. We propose potential methods for evaluating the quality of guidance at different phases in the analytic process and introduce the potential negative effects of guidance as a source of bias in analytic decision making

Garis panduan pembangunan media pengajaran berkonsepkan penceritaan digital untuk tablet skrin sentuh

The usage of the Digital Storytelling (DST) concept for development process in instructional media is not fully comprehended. Besides, the features of DST tools also need to be identified. The lack of standard guidelines to develop instructional media with touch screen interaction should also be addressed. Therefore, this study proposes a guideline for the development of instructional media with DST concept (MPBPD) for touch screen tablet that could help designers to produce compelling MPBPD apps. This study applies the Design Science Methodology to achieve the objectives of the study that comprises of five phases: problem awareness, suggestion, development, evaluation and conclusion. A total of 13 experts and 70 teachers from the Institut Pendidikan Guru (IPG) and a school in the Northern Region, Malaysia participated in the quality evaluation phase using a set of questionnaire called Q-Qguide. Furthermore, 40 MPBPD apps created by the respondents were measured in terms of compellingness using a rubric instrument (R-Compelling). The findings indicate that the guideline is of quality and has positive and high relationship in the dimension of usefulness, ease of use, easy to understand, applicability and tablet interaction. MPBPD apps which were developed by implementing the guideline is found to meet the guideline elements and has a high perceived compellingness level. In conclusion, the study has contributed a guideline for the development of instructional media with DST concept for touch screen table

A Design Language for Prototyping and Storyboarding Data-Driven Stories

ABSTRACT: Data-driven stories (DDS) are digital forms of storytelling that arrange data and visualizations to communicate a narrative of information to an audience. They have been growing rapidly over the past decades. As a result, a great degree of versatility appears in the forms of published DDS. The recent structures of DDS are more complex, respecting their arrangement, composition, features, and inner parts. In the current academic research, neither storytelling techniques nor any taxonomies suggest visual mechanisms to distinguish between different layouts, compositions, and arrangements. The lack of an expressive visual solution that integrates different parts of DDS under one structure prevents the authors from trying more alternative design paths in the story design process. In this proposed work, we unify all the constructing parts of DDS to define the narrative structure as a visually structured representation of the DDS narrative, which is formed and designed by their constructing elements. This solution proposes a design language consisting of a set of design rules that integrate the visual elements to represent the DDS narrative structure. Our evaluation of the audit process out of 100 DDS examples confirms that the design language is comprehensive, expressive, and versatile. Additionally, we developed DataStoryDesign, a system that incorporates this visual solution to facilitate prototyping and storyboarding DDS for a team of DDS authors. The preliminary result of the exploratory evaluation indicates that such a solution is effective in prototyping and storyboarding DDS. In addition, our findings confirmed that the existence of our design language improves the visual communication between different personas in the DDS production workflow

Storyboarding for visual analytics

Analysts wish to explore different hypotheses, organize their thoughts into visual narratives and present their findings. Some developers have used algorithms to ascertain key events from their data, while others have visualized different states of their exploration and utilized free-form canvases to enable the users to develop their thoughts. What is required is a visual layout strategy that summarizes specific events and allows users to layout the story in a structured way. We propose the use of the concept of ?storyboarding? for visual analytics. In film production, storyboarding techniques enable film directors and those working on the film to pre-visualize the shots and evaluate potential problems. We present six principles of storyboarding for visual analytics: composition, viewpoints, transition, annotability, interactivity and separability. We use these principles to develop epSpread, which we apply to VAST Challenge 2011 microblogging data set and to Twitter data from the 2012 Olympic Games. We present technical challenges and design decisions for developing the epSpread storyboarding visual analytics tool that demonstrate the effectiveness of our design and discuss lessons learnt with the storyboarding methodPeer reviewe