Thesis (M.S.)--Northern Michigan University, 2009. / "14-62708." Bibliography: leaves 41-43.

Thesis (M.S.)--Northern Michigan University, 2008. / Adobe acrobat or other PDF reader required. Bibliography: leaves 52-53.

In order to obtain a complete spectrum of Hawthorne's opinion of English life and character, it is necessary to compare Our Old Home and the romances with the notebooks and with each other.

Computational notebooks are a popular tool for data analysis. However, the 1D linear structure used by many computational notebooks can lead to challenges and pain points in data analysis, including messiness, tedious navigation, inefficient use of screen space, and presentation of non-linear narratives. To address these problems, we designed a prototype Jupyter Notebooks extension called 2D Jupyter that enables a 2D organization of code cells in a multi-column layout, as well as freeform cell placement. We conducted a user study using this extension to evaluate the usability of 2D computational notebooks and understand the advantages and disadvantages that it provides over a 1D layout. As a result of this study, we found evidence that the 2D layout provides enhanced usability and efficiency in computational notebooks. Additionally, we gathered feedback on the design of the prototype that can be used to inform future work. Overall, 2D Jupyter was positively received and users not only enjoyed using the extension, but also expressed a desire to use 2D notebook environments in the future. / Master of Science / Computational notebooks are a tool commonly used by data analysts that allows them to construct computational narratives through a combination of code, text and visualizations. Many computational notebooks use a 1D linear layout; however data analysis work is often conducted in a non-linear fashion due to the need to debug code, test new theories, and evaluate and compare results. In this work, we present a prototype extension for Jupyter Notebooks called 2D Jupyter that enables the user to arrange their notebook in a 2D multi-column layout. A user study was conducted to evaluate the usability of this extension and understand the benefits that a 2D layout may provide. Feedback on the extension's design was also collected to inform future design opportunities. The prototype received a positive reaction overall and users expressed a desire to use 2D computational notebooks in their future work.

Interactive science notebooks, used as a learning tool during science instruction, was found to have a positive influence on student self-efficacy in expressing science content knowledge and interest in pursuing a STEM-related career. This study, involving 25 participants, discusses the integration of interactive notebooks into two elementary school classrooms in a rural Kentucky community over 55 instructional days. Through an explanatory sequential multiple-method research design, a quantitative survey given at two intervals, pre and post study, and qualitative student interviews, data found that 76% of the sample had an increase in their overall attitude toward science and 10 out of 12 STEM careers had an increase in overall interest at the conclusion of the study. The qualitative data, three oral interviews, revealed that 22 participants referenced an increase in science interest, two participants stayed the same, and one participant noted a decrease in interest. Nine participants felt that their interest in pursuing a STEM career remained about the same or had no significant changes since their initial survey and 16 participants referenced an increase in pursuing a STEM career in their final interview. This study aims to engage educators and administration in conversation about an explanatory sequential multiple-methods research design involving a unique population of transient students and the influence of a new learning tool used in the classroom. / Doctor of Philosophy / Interactive science notebooks, used as a learning tool during science instruction, was found to have a positive influence on student self-efficacy in expressing science content knowledge and interest in pursuing a STEM-related career. This study, involving 25 participants, discusses the integration of interactive notebooks into two elementary school classrooms in a rural Kentucky community over 55 instructional days. Seventy six percent of the population had an increase in their overall attitude toward science and ten out of twelve STEM careers had an increase in overall interest at the conclusion of the study. This study aims to engage educators and administration in conversation about an explanatory sequential multiple-method research design involving a unique population of transient students and the influence of a new learning tool used in the classroom.

In modern organisations, the effective use of information and knowledge is a prerequisite for sustaining competitive advantage. To support this, considerable work has been undertaken by both academia and industry to improve the representation, organisation and access of information across and between organisations. This improved information and communication management has had a positive impact on business processes, improved decision making and – importantly – increased levels of innovation. However, one area that has received less attention is personal information such as logbooks, maintained by a majority of engineers. Many of these logbooks could contain significant amount of design information and knowledge which is not recorded elsewhere, such as design rationale and records of alternatives considered. Indeed, much of what we know about the work of historically important engineers and scientists such as Leonardo da Vinci (1452-1519) has come from their personal collections of notes. Despite this, logbooks are rarely formally managed, with the content usually only available to the authoring engineer. It is arguable that such potentially valuable information should be more easily accessible to the individual and wider organisation, where it could be of benefit as a personal productivity aid, a design record and also for intellectual property and audit/traceability purposes. It follows that there is a need to create improved methods for managing logbook content, which is the challenge that this research addresses. This research first seeks to establish the reasons for the stubborn persistence of paper logbooks as such a common feature of engineering work, despite almost every other aspect being undertaken in the digital domain. Various studies are undertaken, revealing that logbooks are used for a wide range of purposes, such as the critical role of ‘mediating’ between various information sources. The requirements arising from these studies are used together with a review of existing e-logbook technologies to produce a comprehensive requirement specification for an engineering electronic-logbook. At its core is a novel information management strategy based combination of templates to pre-structure entries and a lightweight information classification schema to structure the information. They key features of the specification are the ability for logbook information to be searched, shared and integrated with other information systems, whilst retaining important characteristics of paper logbooks (such as sketching support). The contributions of this thesis are the fundamental understanding of logbook use and content, together with a comprehensive specification for an engineering e-logbook to improve logbook information management for both the individual and wider organisation.

Thesis (M.A.)--Ohio University, June, 2008. / Title from PDF t.p. Includes bibliographical references.

Thesis (doctoral)--Universidad de Buenos Aires, 1996. / Includes bibliographical references (p. 163-168).

Thesis (doctoral)--Universidad de Buenos Aires, 1996. / Includes bibliographical references (p. 163-168).

Existing notebook platforms have different capabilities for supporting visual analytics use. It is not clear which platform to choose for implementing visual analytics notebooks. In this work, we investigated the problem using Andromeda, an interactive dimension reduction algorithm, and implemented it using three different notebook platforms: 1) Python-based Jupyter Notebook, 2) JavaScript-based Observable Notebook, and 3) Jupyter Notebook embedding both Python (data science use) and JavaScript (visual analytics use). We also made comparisons for all the notebook platforms via a case study based on metrics such as programming difficulty, notebook organization, interactive performance, and UI design choice. Furthermore, guidelines are provided for data scientists to choose one notebook platform for implementing their visual analytics notebooks in various situations. Laying the groundwork for future developers, advice is also given on architecting better notebook platforms. / Master of Science / Data scientists are interested in developing visual analytics notebooks. However, different notebook platforms have different support for visual analytics components, such as visualizations and user interactions. To investigate which notebook platform to use for visual analytics, we built notebooks based on three different notebook platforms, i.e., Jupyter Notebook (with Python), Observable Notebook (with JavaScript), and Jupyter Notebook (with Python and JavaScript). Based on the implementation and user interactions, we explained why significant differences exist via specific metrics, such as programming difficulty, notebook organization, interactive performance, and the UI design choice. Furthermore, our work will benefit future researchers in choosing suitable notebook platforms for implementing visual analytics notebooks.