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Gang Liu – ProQuest LLC, 2021
Digital phenotyping is defined as the "moment-by-moment quantification of the individual level human phenotype in situ using data from personal digital devices". The passive data collected by smartphone devices, including GPS, accelerometer and communication logs, can provide insights on users' behaviors that could be related to various…
Descriptors: Learning Processes, Health Behavior, Handheld Devices, Telecommunications
Rotman, Assaf; Shalev, Michael – Sociological Methods & Research, 2022
Automatically collected behavioral data on the location of users of mobile phones offer an unprecedented opportunity to measure mobilization in mass protests, while simultaneously expanding the range of researchable questions. Location data not only improve estimation of the number and composition of participants in large demonstrations. Thanks to…
Descriptors: Measurement Techniques, Activism, Telecommunications, Handheld Devices
Shepley, Collin; Grisham-Brown, Jennifer; Lane, Justin D.; Ault, Melinda J. – Topics in Early Childhood Special Education, 2022
Progress-monitoring data collection is an essential skill for teachers serving children for whom the general curriculum is insufficient. As the field of early childhood education moves toward tiered service provision models, the importance of routine data collection is heightened. Therefore, we evaluated the effects of a training package on…
Descriptors: Early Childhood Education, Preschool Teachers, Teacher Behavior, Data Collection
Kularski, Curtis M.; Martin, Florence – American Journal of Distance Education, 2022
This systematic review of research on online student privacy in higher education used a strategic search process to synthesize research on online student privacy based on publications trends, research methods, online spaces studied and the focus of the research. A total of 41 articles were analyzed to explore the existing literature on the topic.…
Descriptors: Online Courses, College Students, Electronic Learning, Privacy
Alonso-Fernández, Cristina; Calvo-Morata, Antonio; Freire, Manuel; Martínez-Ortiz, Iván; Fernández-Manjón, Baltasar – Journal of Learning Analytics, 2022
Game learning analytics (GLA) comprise the collection, analysis, and visualization of player interactions with serious games. The information gathered from these analytics can help us improve serious games and better understand player actions and strategies, as well as improve player assessment. However, the application of analytics is a complex…
Descriptors: Educational Games, Learning Analytics, Data Collection, Educational Improvement
Birtwistle, Efsun; Schoedel, Ramona; Bemmann, Florian; Wirth, Astrid; Sürig, Christoph; Stachl, Clemens; Bühner, Markus; Niklas, Frank – International Journal of Testing, 2022
Digital technologies play an important role in our daily lives. Smartphones and tablet computers are very common worldwide and are available for everybody from a very early age. This trend offers the opportunity to track digital usage data for psychological and educational research purposes. The current paper introduces two research projects, the…
Descriptors: Handheld Devices, Computer Oriented Programs, Telecommunications, Computer Use
Pammer-Schindler, Viktoria; Rosé, Carolyn – International Journal of Artificial Intelligence in Education, 2022
Professional and lifelong learning are a necessity for workers. This is true both for re-skilling from disappearing jobs, as well as for staying current within a professional domain. AI-enabled scaffolding and just-in-time and situated learning in the workplace offer a new frontier for future impact of AIED. The hallmark of this community's work…
Descriptors: Data, Ethics, Informal Education, Professional Development
Yeung, Glorry; Mun, Rachel U. – Journal for the Education of the Gifted, 2022
Researchers in gifted and talented education (GATE) have increasingly taken on the role of advocating equity and access for minoritized populations. However, subgroups of racially and ethnically diverse students are rarely disaggregated from monolithic racial and ethnic categories. Studies on academic achievement of Asian American and White…
Descriptors: Gifted Education, Talent, Educational Research, Race
Chansanam, Wirapong; Jaroenruen, Yuttana; Kaewboonma, Nattapong; Tuamsuk, Kulthida – Education for Information, 2022
This article describes the development process of the Thai cultural knowledge graph, which facilitates a more precise and rapid comprehension of the culture and customs of Thailand. The construction process is as follows: First, data collection technologies and techniques were used to obtain text data from the Wikipedia encyclopedia about cultural…
Descriptors: Foreign Countries, Graphs, Data Collection, Semantics
Williams, Julie Ann Stuart; Billings, Philip E.; Estep, Joshua L.; Pinder, Ashanae D. – Business and Professional Communication Quarterly, 2022
Despite organizations increasingly seeking talent to identify data to make better business decisions, many assignments provide the data for the students. This article encourages curriculum to introduce data and information request dimensions, identify data sources, write data and information requests, and reflect on data request examples. We…
Descriptors: Data, Information Dissemination, Information Policy, Communication Strategies
Ekkens, Tom – Physics Teacher, 2022
In many introductory physics classes, diffraction of light is introduced first, then more advanced diffraction topics such as x-ray diffraction, Bragg's law, and crystallography are covered. Since using x-rays raises safety concerns and atomic spacing in a crystal is not easy to change, microwaves with macroscopic crystals have been used to study…
Descriptors: Data Collection, Physics, Science Education, Introductory Courses
National Forum on Education Statistics, 2022
"Using Education Indicators: A Forum Guide for State and Local Education Agencies" was developed to provide timely and useful information on education indicators, how their collection and use have changed over time, and how agencies use them strategically. Since the publication of the 2005 document "Forum Guide to Education…
Descriptors: Educational Indicators, State Departments of Education, School Districts, Data Use
Roll, Anne E.; Koehly, Laura M. – Journal of Applied Research in Intellectual Disabilities, 2020
Background: For people with intellectual disabilities (ID), social networks play a key role in facilitating social inclusion, health, and quality of life. This study shows that a multi-informant approach to collecting social network data improves our understanding of the social worlds of people with Down Syndrome (DS). Method: A mixed methods…
Descriptors: Social Networks, Down Syndrome, Measurement Techniques, Data Collection
Jones, Kyle M. L.; Briney, Kristin A.; Goben, Abigail; Salo, Dorothea; Asher, Andrew; Perry, Michael R. – College & Research Libraries, 2020
Universities are pursuing learning analytics practices to improve returns from their investments, develop behavioral and academic interventions to improve student success, and address political and financial pressures. Academic libraries are additionally undertaking learning analytics to demonstrate value to stakeholders, assess learning gains…
Descriptors: Academic Libraries, Learning Analytics, Privacy, Ethics
Doleck, Tenzin; Lemay, David John; Basnet, Ram B.; Bazelais, Paul – Education and Information Technologies, 2020
Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a…
Descriptors: Learning Analytics, Prediction, Information Retrieval, Accuracy

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