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Ali Yildiz; Bünyamin Ispir – Online Submission, 2024
The study aims to reveal the thoughts of the researchers about the data collection process in the studies whose data were provided by the participants' views. The case study approach, one of the qualitative research designs, was used in the study. The study group of the research consists of a total of 12 experienced researchers, 9 women, and 3…
Descriptors: Doctoral Students, College Graduates, Student Research, Student Attitudes
Aziman Abdullah; Pang Jieyu – International Society for Technology, Education, and Science, 2023
It is essential to save lives during emergencies not only in hospitals but also in colleges and universities. Failure to identify risks and take prompt action during catastrophes and emergency situations could result in the loss of life and property for the campus community. This research aims to explore the feasibility of using data analytics to…
Descriptors: Emergency Programs, Information Technology, Planning, Higher Education
Oliver-Quelennec, Katia; Bouchet, François; Carron, Thibault; Pinçon, Claire – International Association for Development of the Information Society, 2021
In-person sessions of participative design are commonly used in the field of Learning Analytics, but to reach students not always available on-site (e.g. during a pandemic), they have to be adapted to online-only context. Card-based tools are a common co-design method to collect users' needs, but this tangible format limits data collection and…
Descriptors: Learning Analytics, Educational Technology, Data Collection, Universities
Trotter, Lucy – Journal of Further and Higher Education, 2023
Single-parent families represent a significant proportion of all UK families, but literature suggests that they face challenges in accessing, participating in, and completing Higher Education (HE). This article draws on data obtained from three months of mixed-methods research in 2021 with single-parent students to explore the meanings of being a…
Descriptors: Student Experience, One Parent Family, College Students, Foreign Countries
Robin Throne; Michalina Hendon; James Kozinski – Online Submission, 2023
This paper presents the best practices used by institutional review boards (IRBs) and human research protections programs (HRPPs) to prepare online graduate student investigators for human research protections specific to research within online graduate degree programs or where research supervisors are not proximal to graduate student…
Descriptors: Graduate Students, Student Research, Investigations, Graduate Study
Sturludóttir, Erla Guðrún; Arnardóttir, Eydís; Hjálmtýsson, Gísli; Óskarsdóttir, María – International Educational Data Mining Society, 2021
Gaining insight into course choices holds significant value for universities, especially those who aim for flexibility in their programs and wish to adapt quickly to changing demands of the job market. However, little emphasis has been put on utilizing the large amount of educational data to understand these course choices. Here, we use network…
Descriptors: Course Selection (Students), Undergraduate Students, Engineering Education, Business Administration Education
Kai Li – International Association for Development of the Information Society, 2023
Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…
Descriptors: Student Evaluation, Online Courses, Electronic Learning, Computer Literacy
Akman, Özkan; Ekici, Kübra – International Society for Technology, Education, and Science, 2022
The aim of this study is the postgraduate thesis studies in the field of social studies education in Turkey between 2015 and 2021; to examine according to descriptive, methodological and subject distributions. Document analysis technique, which is one of the qualitative research designs, was used in the research. The main data source of the…
Descriptors: Social Studies, Graduate Students, Masters Theses, Doctoral Dissertations
Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
MacGregor, Stephen W.; Cooper, Amanda – AERA Online Paper Repository, 2022
We interrogate the opportunities and challenges of using mixed methods (MM) within a developmental evaluation (DE) context by drawing on two illustrative cases that investigated educational change in Canada. Methods: Multi-case design and cross-case analysis, with a focus on examining common patterns across the two cases, enabling new ways of…
Descriptors: Mixed Methods Research, Evaluation Methods, Barriers, Educational Change
Hu, Qian; Rangwala, Huzefa – International Educational Data Mining Society, 2019
Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advising systems. Given a student's past data (such as grades in prior courses), the task of student's performance prediction is to predict a student's grades in future…
Descriptors: Academic Achievement, Attention, Prior Learning, Prediction
Howlin, Colm P.; Dziuban, Charles D. – International Educational Data Mining Society, 2019
Clustering of educational data allows similar students to be grouped, in either crisp or fuzzy sets, based on their similarities. Standard approaches are well suited to identifying common student behaviors; however, by design, they put much less emphasis on less common behaviors or outliers. The approach presented in this paper employs fuzzing…
Descriptors: Data Collection, Student Behavior, Learning Strategies, Feedback (Response)
Motz, Benjamin; Busey, Thomas; Rickert, Martin; Landy, David – International Educational Data Mining Society, 2018
Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…
Descriptors: Data Collection, Data Analysis, Enrollment, Higher Education
Bhatanagar, Sameer; Zouaq, Amal; Desmarais, Michel C.; Charles, Elizabeth – International Educational Data Mining Society, 2020
Online "Peer Instruction" has become prevalent in many "flipped classroom" settings, yet little work has been done to examine the content students generate in such a learning environment. This study characterizes a dataset generated by an open-source, web-based homework system that prompts students to first answer questions,…
Descriptors: Peer Teaching, Electronic Learning, Educational Technology, Web Based Instruction
Demirbas, Irem; Sahin, Ayfer – International Journal of Progressive Education, 2020
Today, digital technologies are used extensively in all areas of life, so education has important role to raise individuals who are researching, questioning, and constructing the knowledge. Digital storytelling; Written, visual, audio tools that work together, providing information in a digital environment is a method that allows students to learn…
Descriptors: Foreign Countries, Story Telling, Technology Uses in Education, Educational Research