Strategic Reading in Design Science: Let Root-Cause Analysis Guide Your Readings

Díaz, Óscar; Contell, Jeremías P.; Venable, John

doi:10.1007/978-3-319-59144-5_14

Cited by 6 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Se ha utilizado el método DSR (Design Science Research), el cual brinda los lineamientos para determinar y desarrollar las actividades necesarias para cumplir con el objetivo de investigación [9].…”

Section: Método Design Science Researchunclassified

Integración de componentes Enterprise Java Beans y Front End Angular para analizar el desempeño de acceso a datos

Rea-Peñafiel,

Maldonado-Arias,

Quiña-Mera

2023

IDEAS

View full text Add to dashboard Cite

La plataforma Java EE (Enterprise Edition) permite el desarrollo de software de tipo empresarial, cubriendo todas las capas que una aplicación monolítica requiere, pero carece de funcionalidades reactivas de manera nativa, lo que ocasiona un menor desempeño en la presentación de información al usuario final. Este problema afecta a los usuarios, porque la información que se visualiza en sus pantallas probablemente ya está desactualizada. En esta investigación se plantea comprobar la integración entre Java EE (plataforma backend) y Angular (framework frontend), con el propósito de mejorar el tiempo de respuesta para el usuario. Se utiliza el método Design Science Research como ruta principal de la investigación para determinar el problema, los antecedentes, la situación actual y los objetivos del proyecto propuesto. La parte teórica incluye información sobre plataformas tecnológicas y la metodología para el desarrollo del software propuesto. Se implementa una capa de servicios REST para proporcionar información de un sistema utilizado como caso de estudio en la Universidad Técnica del Norte, que se denomina SIAD (Sistema Integrado de Actividades Docentes), dicho servicio es consumido por la aplicación web Angular. Por otro lado, se ejecutan las pantallas JSF, las cuales consumen la información proporcionada por los componentes EJB. Finalmente, se ejecutan los dos tipos de clientes web (JSF y Angular) y se valida el desempeño utilizando el estándar ISO/IEC 25010. Se puede concluir de manera global que, los componentes reactivos de Angular mejoran el indicador de desempeño del sistema informático en un 21%.

show abstract

Section: Método Design Science Researchunclassified

Integración de componentes Enterprise Java Beans y Front End Angular para analizar el desempeño de acceso a datos

Rea-Peñafiel,

Maldonado-Arias,

Quiña-Mera

2023

IDEAS

View full text Add to dashboard Cite

show abstract

“…One group was tasked with analyzing the data using the analysis approach of our method, hereinafter referred to as QDAcity group. The other group was tasked to perform an analysis of the same data using a method utilizing strategic reading [14,15], hereinafter referred to as control group. The participant sampling is described in more detail in Sect.…”

Section: Experiments Designmentioning

confidence: 99%

“…Strategic reading is a term coined in the educational domain [33] and has been suggested for design science research and domain modeling [14,15]. At its core, strategic reading requires the reader to actively employ all of the following seven reading strategies:…”

Section: Strategic Readingmentioning

confidence: 99%

A validation of QDAcity-RE for domain modeling using qualitative data analysis

et al. 2021

View full text Add to dashboard Cite

Using qualitative data analysis (QDA) to perform domain analysis and modeling has shown great promise. Yet, the evaluation of such approaches has been limited to single-case case studies. While these exploratory cases are valuable for an initial assessment, the evaluation of the efficacy of QDA to solve the suggested problems is restricted by the common single-case case study research design. Using our own method, called QDAcity-RE, as the example, we present an in-depth empirical evaluation of employing qualitative data analysis for domain modeling using a controlled experiment design. Our controlled experiment shows that the QDA-based method leads to a deeper and richer set of domain concepts discovered from the data, while also being more time efficient than the control group using a comparable non-QDA-based method with the same level of traceability.

show abstract

“…Generally, there are several approaches to do this type of analysis [2], [3]: systematic reviews, scoping reviews, or even meta-reviews of multiple review papers, among many others. The task of reviewing literature in a particular field is usually done through ''strategic reading'' [4], where researchers consider several publications to identify those that address…”

Section: Introductionmentioning

confidence: 99%

Analyzing Trends and Patterns Across the Educational Technology Communities Using Fontana Framework

2022

View full text Add to dashboard Cite

Nowadays, the use of technology in continuously increasing, making a significant impact in almost every area, including education. New areas have gained much popularity in the last years in educational technology (EdTech), such as Massive Open Online Courses (MOOCs) or computer-supported collaborative learning. In addition, research and interest in this area have also been growing over the years. The quantity of research and scientific publications in EdTech is constantly increasing, and trying to analyze and extract information from a set of research papers is often a very time-consuming task. To make this process easier and solve these limitations, we present Fontana, a framework that can quickly perform trend and social network analysis using any corpus of documents and its metadata. Specifically, the framework can: 1) Discover the latest trends given any corpus of documents, using Natural Language Processing (NLP) analysis and keywords (bibliometric approach); 2) Discover the evolution of the trends previously identified over the years; 3) Discover the primary authors and papers, along with hidden relationships between existing communities. To test its functionality, we evaluated the framework using a corpus of papers from the EdTech research field. We also followed an open science methodology making the entire framework available in Open Science Framework (OSF) easy to access and use. The case study successfully proved the capabilities of the framework, revealing some of the most frequent topics in the area, such as ''EDM,'' ''learning analytics,'' or ''collaborative learning.'' We expect our work to help identifying trends and patterns in the EdTech area, using natural language processing and social network analysis to objectively process large amounts of research.

show abstract

Strategic Reading in Design Science: Let Root-Cause Analysis Guide Your Readings

Cited by 6 publications

References 13 publications

Integración de componentes Enterprise Java Beans y Front End Angular para analizar el desempeño de acceso a datos

Integración de componentes Enterprise Java Beans y Front End Angular para analizar el desempeño de acceso a datos

A validation of QDAcity-RE for domain modeling using qualitative data analysis

Analyzing Trends and Patterns Across the Educational Technology Communities Using Fontana Framework

Contact Info

Product

Resources

About