NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 6,631 to 6,645 of 75,323 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kruger, Louis J.; Rodgers, Rachel F.; Long, Stephanie J.; Lowy, Alice S. – International Journal of Social Research Methodology, 2019
Individual interviews have traditionally been an important method of data collection in multiple disciplines, including psychology. However, research comparing individual interviews with focus groups has generated mixed results regarding which method is more effective in investigating sensitive topics. The purpose of the present study was to…
Descriptors: Research Methodology, Data Collection, Interviews, Focus Groups
Peer reviewed Peer reviewed
Direct linkDirect link
Lewis, Steven; Holloway, Jessica – Cambridge Journal of Education, 2019
This paper explores how data-driven practices and logics have come to reshape the possibilities by which the teaching profession, and teaching professionals, can be known and valued. Informed by the literature and theorising around educational performativity, the constitutive power of numbers, and affective responses to data, it shows how…
Descriptors: Data, Decision Making, Teaching (Occupation), Accountability
Peer reviewed Peer reviewed
Direct linkDirect link
Bertacchini, Francesca; Bilotta, Eleonora; Caldarola, Fabio; Pantano, Pietro – International Journal of Mathematical Education in Science and Technology, 2019
We present the results of an experimental project, made at the University of Calabria, which uses computer simulations and scientific computational systems in teaching and learning the fundamentals of analytic mechanics, in particular the classical Lagrangian and Hamiltonian formulation of the matter. Starting with examples of classical dynamical…
Descriptors: Role, Computer Simulation, Foreign Countries, Experimental Groups
Peer reviewed Peer reviewed
Direct linkDirect link
Patton, Jeffrey M.; Cheng, Ying; Hong, Maxwell; Diao, Qi – Journal of Educational and Behavioral Statistics, 2019
In psychological and survey research, the prevalence and serious consequences of careless responses from unmotivated participants are well known. In this study, we propose to iteratively detect careless responders and cleanse the data by removing their responses. The careless responders are detected using person-fit statistics. In two simulation…
Descriptors: Test Items, Response Style (Tests), Identification, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Höhne, Jan Karem; Schlosser, Stephan – International Journal of Social Research Methodology, 2019
Participation in web surveys via smartphones increased continuously in recent years. The reasons for this increase are a growing proportion of smartphone owners and an increase in mobile Internet access. However, research has shown that smartphone respondents are frequently distracted and/or multitasking, which might affect completion and response…
Descriptors: Online Surveys, Handheld Devices, Response Rates (Questionnaires), Response Style (Tests)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lee, Yongbae; Kim, Pyung; Yang, Jungsik – International Journal of Higher Education, 2019
For a QA system it's very important to have a notion of vocabulary used in questions and for building correct answers. Especially, when a word represents a concept, one can use related lexical instances to understand it and further extend the knowledge by using the associated information. In this work, we suggest a process of building a knowledge…
Descriptors: Editing, Web 2.0 Technologies, Web Sites, Collaborative Writing
Peer reviewed Peer reviewed
Direct linkDirect link
Ruiperez-Valiente, Jose A.; Munoz-Merino, Pedro J.; Alexandron, Giora; Pritchard, David E. – IEEE Transactions on Learning Technologies, 2019
One of the reported methods of cheating in online environments in the literature is CAMEO (Copying Answers using Multiple Existences Online), where harvesting accounts are used to obtain correct answers that are later submitted in the master account which gives the student credit to obtain a certificate. In previous research, we developed an…
Descriptors: Computer Assisted Testing, Tests, Online Courses, Identification
Peer reviewed Peer reviewed
Direct linkDirect link
McDonald, Catherine C.; Ward, Kristen; Huang, Yanlan; Wiebe, Douglas J.; Delgado, M. Kit – Health Education & Behavior, 2019
Background: Motor vehicle crashes are the leading cause of adolescent death. Cell phone use while driving is a contributor to adolescent motor vehicle crash risk. Objective and directly observable measures of cell phone use while driving are needed to implement interventions aimed at reducing cell phone-related crash risk. Aims: To describe novel…
Descriptors: Telecommunications, Handheld Devices, Motor Vehicles, Traffic Safety
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Adamu, Idris; Soykan, Emrah – International Online Journal of Education and Teaching, 2019
Articles published in the Web of Science database between 2014 and 2019 (March) were screened in this research. This is because of its respected position in the field of technology and the peer-reviewed secured structure of this database. From a total of 56 articles within the scope of the screening, 46 articles were included in the study. As a…
Descriptors: Dyslexia, Journal Articles, Assistive Technology, Research Methodology
Wallace, Kelli P. – ProQuest LLC, 2019
Response to Intervention (RTI) is a general education initiative intended to identify struggling readers and provide them with early, targeted intervention. The RTI model--which emphasized research-based instruction presented with fidelity along with the use of informed student data--was adopted by many school districts not only to provide…
Descriptors: Response to Intervention, Data Use, Decision Making, Reading Difficulties
Johns, Brendan T.; Jones, Michael N.; Mewhort, D. J. K. – Grantee Submission, 2019
To account for natural variability in cognitive processing, it is standard practice to optimize a model's parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model's fit to…
Descriptors: Language Processing, Models, Information Sources, Linguistics
Anderson, Rebekah; Rip, Nichole – Association for Institutional Research, 2019
The main purpose of institutional research (IR) is to provide objective, systematic, and thorough data that support an institution's enrollment goals, planning, policy formation, and decision making. Traditionally, institutions gathered data on their activities, students and staff, programs, management, and operations. University staff then…
Descriptors: Institutional Research, Data Use, Decision Making, Private Colleges
Washington State Department of Children, Youth, and Families, 2019
This report is prepared in compliance with HB 1661, which requires the Washington State Department of Children, Youth, and Families (DCYF or the Department) to report to the legislature on development of and progress toward achieving outcome goals for children, youth and families. In addition, this report provides an update on other supportive…
Descriptors: Outcome Measures, Accountability, Child Welfare, State Agencies
Peltzman, Alissa; Curl, Cory – Council of Chief State School Officers, 2019
State and school report cards provide a powerful avenue for states to reach families and the broader public as essential partners in improving student outcomes. The federal Every Student Succeeds Act (ESSA) and many state legislatures require states to publish an array of education data including measures at the state, district, and school levels.…
Descriptors: Data Use, Educational Improvement, Equal Education, Decision Making
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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)
Pages: 1  |  ...  |  439  |  440  |  441  |  442  |  443  |  444  |  445  |  446  |  447  |  ...  |  5022