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Di Mitri, Daniele; Schneider, Jan; Specht, Marcus; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2018
Multimodality in learning analytics and learning science is under the spotlight. The landscape of sensors and wearable trackers that can be used for learning support is evolving rapidly, as well as data collection and analysis methods. Multimodal data can now be collected and processed in real time at an unprecedented scale. With sensors, it is…
Descriptors: Educational Research, Data Collection, Data Analysis, Learning Modalities
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Heiden, Kathleen – Journal of Family and Consumer Sciences, 2018
Research is beneficial for student learning in undergraduate curricula. Undergraduate students who actively participate in research develop problem solving skills and learn to think independently. However, with limited faculty resources at many universities, only elite undergraduate students participate in research programs. This paper provides a…
Descriptors: Partnerships in Education, Mentors, Undergraduate Students, Teaching Methods
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Chezan, Laura C.; Petcu, Stefania D.; Van Horn, M. Lee – Journal of Intellectual & Developmental Disability, 2018
Background: Examining the data collection practices implemented by postsecondary education programs for students with intellectual and developmental disability represents the first step in documenting student progress, making programmatic data-based decisions, and evaluating the overall program effectiveness in preparing students for competitive…
Descriptors: Postsecondary Education, Intellectual Disability, Developmental Disabilities, Data Collection
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Güngör, Semra Kiranli – International Journal of Instruction, 2018
In this study, it was aimed to examine the postgraduate theses and articles on ethical leadership in Turkey by gathering them through the document analysis method and by using content analysis. In this direction, all of the postgraduate theses and articles that can be accessed in the electronic environment as a full-text were included in the scope…
Descriptors: Foreign Countries, Graduate Students, Doctoral Dissertations, Masters Theses
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Schumacher, Clara; Ifenthaler, Dirk – Journal of Computing in Higher Education, 2018
Depending on their motivational dispositions, students choose different learning strategies and vary in their persistence in reaching learning outcomes. As learning is more and more facilitated through technology, analytics approaches allow learning processes and environments to be analyzed and optimized. However, research on motivation and…
Descriptors: Student Motivation, Learning Strategies, Goal Orientation, Self Concept
Golden, Cindy – Brookes Publishing Company, 2018
Collecting data on behavior, academic skills, and Individualized Education Plan (IEP) goals is an essential step in showing student progress--but it can also be a complicated, time-consuming process. Take the worry and stress out of data collection with this ultra-practical resource, packed with the tools you need to organize, manage, and monitor…
Descriptors: Data Collection, Information Management, Student Records, Student Behavior
Hauk, Shandy; Matlen, Bryan; Ramirez, Alma B. – Grantee Submission, 2018
Imagine a large randomized controlled trial study of a mathematics educational intervention planned in two large urban districts. District 1 gets a new administrator and drops out. In the meantime, the state test changed, so one of the planned outcome measures is no longer usable. Teacher dropout is high. And, as the analysis is being completed,…
Descriptors: Student Recruitment, Data Collection, Shared Resources and Services, Flipped Classroom
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Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
Diana Louise Nestico-Arnold – ProQuest LLC, 2023
Elementary school teachers struggle to collect and use reading progress data to make instructional decisions. Collecting and interpreting reading progress data when making instructional decisions allows districts to identify and support students who need early reading intervention and may protect districts from Free Appropriate Public Education…
Descriptors: Progress Monitoring, Reading Achievement, Data Use, Decision Making
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Rammstedt, Beatrice; Martin, Silke; Zabal, Anouk; Carstensen, Claus; Schupp, Jürgen – Large-scale Assessments in Education, 2017
In Germany, the respondents who had participated in the 2012 survey of the Programme for the International Assessment of Adult Competencies (PIAAC) were re-approached for the panel study PIAAC-L. PIAAC-L aims at investigating the longitudinal effects of skill outcomes over the life course and the development of the key skills assessed in PIAAC.…
Descriptors: Foreign Countries, International Assessment, Adults, Competence
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Wuyts, Celine; Loosveldt, Geert – Field Methods, 2017
Previous research shows that interviewers to some extent fail to expend the effort that is needed to collect high-quality survey data. We extend the idea of interviewer satisficing to a related task, in which the interviewers themselves answer survey questions. We hypothesize that interviewers who self-administer the questionnaire in a careless…
Descriptors: Interviews, Questioning Techniques, Data Collection, Surveys
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Edgeley, Catrin M. – Journal of Extension, 2017
Survey IDs are short strings of unique characters assigned to each recipient in a sample population. Extension research can benefit from the improved organization of survey implementation and data collection, better researcher-respondent communication, and reduced survey material costs supported through the use of survey IDs. This article outlines…
Descriptors: Extension Education, Surveys, Research Methodology, Data Collection
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Pentassuglia, Monica – Cogent Education, 2017
A growing interest in the concept of practice within workplace settings has been seen in the last two decades in a variety of fields. Although some authors highlighted the importance of this type of research, there is still a poor scientific understanding of this process. The first serious discussion and analysis of the construction of knowledge…
Descriptors: Research Methodology, Dance, Interdisciplinary Approach, Literature Reviews
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Hartley, James; Cabanac, Guillaume – British Journal of Educational Technology, 2017
New technology allows us to collect rich and voluminous data about refereeing--something that was not possible before. In this quantitative study, we consider data about the dates of sending (1) suitable papers to "BJET," (2) the papers to referees and (3) when the referees' reports are returned to the editor. To do this, we examined…
Descriptors: Technology Uses in Education, Peer Evaluation, Writing for Publication, Journal Articles
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Valente, Thomas W.; Dougherty, Leanne; Stammer, Emily – Field Methods, 2017
This study investigates potential bias that may arise when surveys include question items for which multiple units are elicited. Examples of such items include questions about experiences with multiple health centers, comparison of different products, or the solicitation of egocentric network data. The larger the number of items asked about each…
Descriptors: Foreign Countries, Interviews, Surveys, Time
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