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Pelletier, Kathe; Hutt, Chris – Change: The Magazine of Higher Learning, 2021
Digital transformation (Dx) refers to a series of deep and coordinated culture, workforce, and technology shifts that enable new educational and operating models and transform an institution's business model, strategic directions, and value proposition. Dx initiatives on many campuses are anchored in student success goals. As a result of this…
Descriptors: Technology Uses in Education, Educational Change, Faculty Advisers, College Students
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Feldman-Maggor, Yael; Barhoom, Sagiv; Blonder, Ron; Tuvi-Arad, Inbal – Education and Information Technologies, 2021
Research based on educational data mining conducted at academic institutions is often limited by the institutional policy with regard to the type of learning management system and the detail level of its activity reports. Often, researchers deal with only raw data. Such data normally contain numerous fictitious user activities that can create a…
Descriptors: Data Analysis, Educational Research, Data Processing, Learning Analytics
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Cernat, Alexandru; Sakshaug, Joseph W.; Chandola, Tarani; Nazroo, James; Shlomo, Natalie – International Journal of Social Research Methodology, 2021
Collecting biological data in representative surveys is becoming more common due to their potential to inform research and policy. Nevertheless, using nurses to collect these data can lead to unintended effects. In this paper, we investigate how nurses influence the non-response process by looking at five waves of data coming from two surveys in…
Descriptors: Surveys, Nurses, Data Collection, Foreign Countries
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Macak, Martin; Kruzelova, Daniela; Chren, Stanislav; Buhnova, Barbora – Education and Information Technologies, 2021
Understanding the processes in education, such as the student learning behavior within a specific course, is a key to continuous course improvement. In online learning systems, students' learning can be tracked and examined based on data collected by the systems themselves. However, it is non-trivial to decide how to extract the desired students'…
Descriptors: Student Projects, Learning Analytics, Data Collection, Computer Science Education
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Vo, Thi Ngoc Chau; Nguyen, Phung – IEEE Transactions on Learning Technologies, 2021
A course-level early final study status prediction task is to predict as soon as possible the final success of each student after studying a course. It is significant because each successful course accomplishment is required for a degree. Further, early predictions provide enough time to make necessary changes for ultimate success. This article…
Descriptors: Prediction, Academic Achievement, Data Collection, Learning Processes
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Dawadi, Saraswati; Shrestha, Sagun; Giri, Ram A. – Journal of Practical Studies in Education, 2021
The article positions mixed-method research (MMR) as a principled complementary research method to the traditional quantitative and qualitative research approaches. By situating MMR in an analysis of some of the common research paradigms, the article presents it as a natural choice in order to complement and cater to the increasingly complex needs…
Descriptors: Mixed Methods Research, Statistical Analysis, Qualitative Research, Data Collection
Daugherty, Lindsay; Anderson, Drew M. – RAND Corporation, 2021
This appendix supplements the report "Stackable Credential Pipelines in Ohio: Evidence on Programs and Earnings Outcomes" (ED613593). In the appendix, the authors provide more details about the data and empirical approach, additional information about the samples, and some alternative results from analyses related to those that appear in…
Descriptors: Credentials, Postsecondary Education, Research Methodology, Data Collection
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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
Dawadi, Saraswati; Shrestha, Sagun; Giri, Ram A. – Online Submission, 2021
The article positions mixed-method research (MMR) as a principled complementary research method to the traditional quantitative and qualitative research approaches. By situating MMR in an analysis of some of the common research paradigms, the article presents it as a natural choice in order to complement and cater to the increasingly complex needs…
Descriptors: Mixed Methods Research, Statistical Analysis, Qualitative Research, Data Collection
Christian Beighton – Sage Research Methods Cases, 2021
This case discusses how scenario-based interviews can be used to develop research into policy and practice. Based on data collected from U.K. further education management settings, it shows how and why scenario-based interviews were used. It also explains how the data collected were then used to illustrate and analyze the implementation of a…
Descriptors: Foreign Countries, Interviews, Vignettes, Policy Formation
Shane Safir; Jamila Dugan – Corwin, 2021
Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the "student" up--with classrooms, schools and systems…
Descriptors: Data Collection, Equal Education, Educational Change, Data Use
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Shamsi, Esmat; Bozorgian, Hossein – Education and Information Technologies, 2022
Many studies have explored educational and pedagogical affordances of social media, but few studies have investigated their impact on emotional and psychological aspects of language learning specifically Willingness to Communicate (WTC) in second and foreign language learners. In this paper, we have reviewed related research published in the last…
Descriptors: Literature Reviews, Social Media, Second Language Learning, Student Attitudes
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Li, Maximilian Xiling; Nadj, Mario; Maedche, Alexander; Ifenthaler, Dirk; Wöhler, Johannes – Technology, Knowledge and Learning, 2022
With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…
Descriptors: Physiology, Computation, Artificial Intelligence, Psychological Patterns
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Brown, Nicole – International Journal of Research & Method in Education, 2022
As wider social and societal changes have led to moves towards equality as a response to a better understanding of inequalities, ethical considerations in research are now more consciously focussed on power dynamics. As a consequence, participatory research methods have gained traction. Simultaneously, artistic and creative methods are used within…
Descriptors: Participatory Research, Action Research, Research Methodology, Creativity
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Ford, Karly S.; Rosinger, Kelly; Choi, Junghee – Policy Futures in Education, 2022
Policy researchers have difficulty understanding stratification in enrollment in US higher education when race and ethnicity data are plagued by missing values. Students who decline to ethnoracially self-identify become part of a "race unknown" reporting category. In undergraduate enrollment, "race unknown" students are not…
Descriptors: Admission (School), Competitive Selection, Race, Ethnicity
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