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A Study Comparing Text-Based WhatsApp and Face-to-Face Interviews to Understand Early School Dropout
Desai, Rachana; Magan, Ansuyah; Maposa, Innocent; Ruiter, Robert; Rochat, Tamsen; Mercken, Liesbeth – Youth & Society, 2024
The majority of adolescents communicate via text-based messaging, particularly through WhatsApp, a widely used free communication application. Written content on WhatsApp has the methodological potential to provide rich qualitative interview data. This study compares data collected using text-based WhatsApp versus face-to-face interview…
Descriptors: Comparative Analysis, Data Collection, Computer Mediated Communication, Dropouts
Florian Keusch; Paulina K. Pankowska; Alexandru Cernat; Ruben L. Bach – Field Methods, 2024
Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook…
Descriptors: Data Collection, Research Methodology, Information Dissemination, Social Media
Valdemar Švábenský; Jan Vykopal; Pavel Celeda; Ján Dovjak – Education and Information Technologies, 2024
Computer-supported learning technologies are essential for conducting hands-on cybersecurity training. These technologies create environments that emulate a realistic IT infrastructure for the training. Within the environment, training participants use various software tools to perform offensive or defensive actions. Usage of these tools generates…
Descriptors: Computer Security, Information Security, Training, Feedback (Response)
Gerald Gartlehner; Leila Kahwati; Rainer Hilscher; Ian Thomas; Shannon Kugley; Karen Crotty; Meera Viswanathan; Barbara Nussbaumer-Streit; Graham Booth; Nathaniel Erskine; Amanda Konet; Robert Chew – Research Synthesis Methods, 2024
Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…
Descriptors: Data Collection, Evidence, Synthesis, Language Processing
Sein Oh; Lorri Mon – Information and Learning Sciences, 2024
Purpose: By examining types of literacies taught by public libraries and the modes through which these programs were offered, this study aims to explore how public libraries might integrate data literacy training for the general public into existing library educational programs. Design/methodology/approach: This study examined programs offered in…
Descriptors: Public Libraries, Data Use, Library Services, Community Education
Christoph Beuthner; Bernd Weiß; Henning Silber; Florian Keusch; Jette Schröder – International Journal of Social Research Methodology, 2024
As our modern world has become increasingly digitalized, various types of data from different data domains are available that can enrich survey data. To link survey data to other sources, consent from the survey respondents is required. This article compares consent to data linkage requests for seven data domains: administrative data, smartphone…
Descriptors: Foreign Countries, Online Surveys, Data Collection, Informed Consent
Marta Olmo-Extremera; Lucía Fernández-Terol; Diana Amber Montes – Qualitative Research Journal, 2024
Purpose: This study aims to describe and evaluate various visual and creative tools for supporting the in-depth biographical interview aimed at analyzing educational communities and their stakeholders. Design/methodology/approach: Researching educational spaces today requires new ways of understanding, analyzing and studying. The complex…
Descriptors: Visual Aids, Interviews, Qualitative Research, Stakeholders
Thi Hong-Hanh Pham; Thi Hong-Chi Le; Thi Hong-Lien Do; Phuong-Lien Lai; Thi-Trinh Do; Tien-Trung Nguyen – Cogent Education, 2024
Career guidance, which strongly influences the world labor market and social structure, is studied in many countries on different levels. This study aims to explore the number, growth trajectories, and geographic distribution of studies on Career guidance in general schools and identify prominent influential authors, sources, publications, and new…
Descriptors: Literature Reviews, Bibliometrics, Data Analysis, Career Guidance
Jiang Bian; Tao Yang – International Journal of Web-Based Learning and Teaching Technologies, 2024
Based on information technology to promote the upgrading of various industries, the core of Industry 4.0, the current internet big data has gradually become a hot spot of social development, and a huge amount of data gushes out. Music is the education of beauty, and it is a key to inspire people to be true and good. China has been a land of…
Descriptors: Information Technology, Music Education, Foreign Countries, Electronic Learning
Gamon Savatsomboon; Prasert Ruannakarn; Phamornpun Yurayat; Ong-art Chanprasitchai; Jibon Kumar Sharma Leihaothabam – European Journal of Psychology and Educational Research, 2024
Using R to conduct univariate meta-analyses is becoming common for publication. However, R can also conduct multivariate meta-analysis (MMA). However, newcomers to both R and MMA may find using R to conduct MMA daunting. Given that, R may not be easy for those unfamiliar with coding. Likewise, MMA is a topic of advanced statistics. Thus, it may be…
Descriptors: Educational Psychology, Multivariate Analysis, Evaluation Methods, Data Processing
Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
Shraddha Govind Barke – ProQuest LLC, 2024
The dream of intelligent assistants to enhance programmer productivity has now become a concrete reality, with rapid advances in artificial intelligence. Large language models (LLMs) have demonstrated impressive capabilities in various domains based on the vast amount of data used to train them. However, tasks which require structured reasoning or…
Descriptors: Artificial Intelligence, Symbolic Learning, Programming, Programming Languages
Claire Miller – ProQuest LLC, 2024
Data are everywhere. Data collected from samples are often reported in the form of polls, medical studies, and advertisement information and an understanding of sampling distributions and statistical inference is important for evaluating data-based claims (Bargagliotti et al., 2020). Despite the importance of understanding statistical inference…
Descriptors: Novices, Thinking Skills, Sampling, Statistical Distributions
Dart, Evan H.; Van Norman, Ethan R.; Klingbeil, David A.; Radley, Keith C. – Journal of Behavioral Education, 2023
Curriculum-based measurement (CBM) represents a critical strategy for data-based decisionmaking within educational settings. Visual analysis is frequently used to analyze CBM data; thus, CBM vendors often automatically generate graphs based on student data to facilitate analysis. Differences in graph formatting are apparent across CBM vendors, and…
Descriptors: Graphs, Visual Aids, Curriculum Based Assessment, Vendors
Soto, Alexis; Schoenlein, Melissa A.; Schloss, Karen B. – Cognitive Research: Principles and Implications, 2023
In visual communication, people glean insights about patterns of data by observing visual representations of datasets. Colormap data visualizations ("colormaps") show patterns in datasets by mapping variations in color to variations in magnitude. When people interpret colormaps, they have expectations about how colors map to magnitude,…
Descriptors: Concept Mapping, Visualization, Data Interpretation, Expectation