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Chen, Xieling; Zou, Di; Cheng, Gary; Xie, Haoran; Jong, Morris – Education and Information Technologies, 2023
Researchers and practitioners are paying increasing attention to blockchain's potential for resolving trust, privacy, and transparency-related issues in smart education. Research on educational blockchain is also becoming an active field of research. Based on 206 studies published from 2017 to 2020, we identify contributors, collaborators,…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Databases
Fernández, Antonio; Gómez, Beatriz; Binjaku, Kleona; Meçe, Elinda Kajo – Education and Information Technologies, 2023
Higher Education Institutions (HEIs) are involved in an evolution to a new model of university called "digital university." This model implies not only adopting new technologies but also developing an organizational strategic transformation which includes information, processes, human aspects, and more. Because an organization's digital…
Descriptors: Higher Education, Educational Change, Technology Integration, Educational Technology
Alotaibi, Sara Jeza – International Journal of Web-Based Learning and Teaching Technologies, 2022
Although there are many education information management systems (EMISs) that currently apply administrative development, they contain limited powers, thus leading to the emergence of problems--the most important and damaging of which being the loss of data quality and ensuring how to verify the validity the education and training information…
Descriptors: Educational Technology, Management Information Systems, Training, Information Management
Selwyn, Neil; Pangrazio, Luci; Cumbo, Bronwyn – Research in Education, 2021
Contemporary schooling is seen to be altering significantly in light of a combined 'digitisation' and 'datafication' of key processes. This paper examines the nature and conditions of the datafied school by exploring how a relatively prosaic and longstanding school metric (student attendance data) is being produced and used in digital form.…
Descriptors: Data Analysis, Data Use, Attendance, School Personnel
Xie, Charles; Li, Chenglu; Ding, Xiaotong; Jiang, Rundong; Sung, Shannon – Journal of Chemical Education, 2021
Digital sensors allow people to collect a large quantity of data in chemistry experiments. Using infrared thermography as an example, we show that this kind of data, in conjunction with videos that stream the chemical phenomena under observation from a vantage point, can be used to construct digital twins of experiments to support science…
Descriptors: Chemistry, Video Technology, Technology Integration, Laboratory Experiments
Wise, Alyssa Friend – Journal of the Learning Sciences, 2020
This article discusses how each of the papers in this special issue explored some combination of subject, audience, and data scientist perspectives with an eye toward helping students situate their relationship to data. Specifically, within the data scientist perspective, the papers examined a variety of ways in which students can relate to data…
Descriptors: Data, Information Science Education, Multiple Literacies, Relationship
Dogucu, Mine; Çetinkaya-Rundel, Mine – Journal of Statistics and Data Science Education, 2022
It is recommended that teacher-scholars of data science adopt reproducible workflows in their research as scholars and teach reproducible workflows to their students. In this article, we propose a third dimension to reproducibility practices and recommend that regardless of whether they teach reproducibility in their courses or not, data science…
Descriptors: Statistics Education, Data Science, Teaching Methods, Instructional Materials
Chaengpromma, Nattariga; Pattanapairoj, Sirorat – Cogent Education, 2022
The purpose of this research is to study the gap between industry expectations and the current competencies of bachelor's degree industrial engineering graduates in Khon Kaen University in Thailand 4.0 era so that the research results of this study may be used as the guideline for improvement of the existing Bachelor of Engineering Degree program…
Descriptors: Foreign Countries, College Graduates, Engineering Education, Industrial Education
Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
López-Belmonte, Jesús; Pozo-Sánchez, Santiago; Fuentes-Cabrera, Arturo; Trujillo-Torres, Juan-Manuel – Education Sciences, 2019
The progress of technology in the field of education has led to the development of new professional skills in the teaching community, such as digital competence. Likewise, it has propagated the appearance of new learning environments mediated by technological resources that favor the generation of a large volume of data, known as Big Data, derived…
Descriptors: Data Analysis, Teacher Competencies, Electronic Learning, Information Storage
Liu, Sanya; Hu, Zhenfan; Peng, Xian; Liu, Zhi; Cheng, H. N. H.; Sun, Jianwen – International Journal of Distance Education Technologies, 2017
In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Educational Research
Lynch, Collin F. – Theory and Research in Education, 2017
Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…
Descriptors: Data Analysis, Data Collection, Privacy, Evaluation Methods
Ifenthaler, Dirk; Schumacher, Clara – Educational Technology Research and Development, 2016
The purpose of this study was to examine student perceptions of privacy principles related to learning analytics. Privacy issues for learning analytics include how personal data are collected and stored as well as how they are analyzed and presented to different stakeholders. A total of 330 university students participated in an exploratory study…
Descriptors: Student Attitudes, Privacy, Data Collection, Data Analysis
Ro, Hyun Kyoung; Menard, Tiffany; Kniess, Dena; Nickelsen, Ashley – New Directions for Institutional Research, 2017
This chapter provides examples of innovative methods and tools to collect, analyze, and report both quantitative and qualitative data in student affairs assessment.
Descriptors: Student Personnel Services, Academic Support Services, Program Evaluation, Evaluation Methods
Chuang, Hsueh-Hua – Educational Technology Research and Development, 2016
This paper explores the roles played by cloud computing technologies and social media in facilitating a learning community for online group collaborative learning, and particularly explores opportunities and challenges in leveraging culturally responsive teaching (CRT) awareness in educational technology. It describes implementation of a…
Descriptors: Preservice Teachers, Preservice Teacher Education, Culturally Relevant Education, Web Based Instruction
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