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Preuss, Cara Lynne; Saavedra, Cinthya M. – International Journal of Qualitative Studies in Education (QSE), 2014
This paper reanalyzed research previously conducted with Spanish-speaking childcare providers who participated in an educational literacy program. The women in the program were generally framed as the deficient other--illiterate, immigrant women. The authors used a critical framework and Chicana/Latina feminist methodologies, namely "pláticas…
Descriptors: Child Caregivers, Spanish Speaking, Females, Hispanic Americans
Rhemtulla, Mijke; Jia, Fan; Wu, Wei; Little, Todd D. – International Journal of Behavioral Development, 2014
We examine the performance of planned missing (PM) designs for correlated latent growth curve models. Using simulated data from a model where latent growth curves are fitted to two constructs over five time points, we apply three kinds of planned missingness. The first is item-level planned missingness using a three-form design at each wave such…
Descriptors: Data Analysis, Error of Measurement, Models, Longitudinal Studies
Roulston, Kathryn – Australian Association for Research in Education, 2014
Qualitative researchers have for some time followed recommendations to analyze both "how" interview data are generated in addition to "what" is discussed. Yet little has been written about the challenges of representing these sorts of analyses. This paper discusses the challenges of presenting methodological analyses of…
Descriptors: Interviews, Educational Research, Research Methodology, Evaluation Methods
L'Ecuyer, Kristine Marie – ProQuest LLC, 2014
This dissertation presents a quantitative study of the attitudes of staff nurse preceptors toward nursing students with learning disabilities. There are an increased number of nursing students with learning disabilities. These students may have additional challenges in clinical settings, particularly if clinical settings do not understand or…
Descriptors: Practicum Supervision, Professional Personnel, Nurses, Nursing Education
Dylan Yamada-Rice – Sage Research Methods Cases, 2014
This case study presents an overview of how multimodal social semiotic theory was combined with visual means of data collection and analysis. The visual methods used were content analysis and still and animated experiential landscape mapping. These methods and theory were used in a study that considered the impact of increasingly visual means of…
Descriptors: Visual Aids, Semiotics, Social Theories, Data Collection
Janet Marie Hogan Chapman – Sage Research Methods Cases, 2014
In 2003, I began a doctoral research case study of the role of collaborative early intervention teachers as change agents implementing differentiated instruction in an intermediate school setting. Previous studies had focused largely on change theory in general, change in schools, early intervention programs, collaboration, or differentiated…
Descriptors: Participatory Research, Bias, Case Studies, Qualitative Research
Manuj Kumar Gokul – Sage Research Methods Cases, 2014
In 2007, I embarked on what turned out to be a 6-year-long PhD study that examined the leadership of teaching and learning through advice and information in school subject teams. Previous research had focused predominantly on formally designated leaders and their interactions with followers in informal contexts. My study focused on both formal and…
Descriptors: Instructional Leadership, Teacher Leadership, Research Projects, Case Studies
Howard, Christy; Guidry, Allen – Literacy Research and Instruction, 2017
The arrival of the Common Core State Standards changed the landscape of teacher preparation for many teacher education programs by highlighting the importance of growing students as readers, writers, and communicators. This study focuses on the instructional literacy practices of preservice teachers enrolled in a co-taught course with a literacy…
Descriptors: Preservice Teachers, Preservice Teacher Education, Common Core State Standards, Content Area Reading
Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Bogetoft, Peter; Wittrup, Jesper – School Effectiveness and School Improvement, 2017
This paper discusses methods for benchmarking vocational education and training colleges and presents results from a number of models. It is conceptually difficult to benchmark vocational colleges. The colleges typically offer a wide range of course programmes, and the students come from different socioeconomic backgrounds. We solve the…
Descriptors: Benchmarking, Vocational Education, Models, Postsecondary Education
Ravalin, Tamara; Tevis, Tenisha – Community College Journal of Research and Practice, 2017
Recent media attention concerning the escalation of crime on college campuses has created a sense of urgency to address how crime will impact the largest community college system in the United States, California Community Colleges. Crime can deter academic success and social engagement. This study utilizes social disorganization theory to examine…
Descriptors: Community Colleges, College Environment, Crime, Incidence
Sellar, Sam – Globalisation, Societies and Education, 2017
This paper examines the development of data infrastructure in Australian schooling with a specific focus on interoperability standards that help to make new markets for education data. The conceptual framework combines insights from studies of infrastructure, economic markets and digital data. The case of the Australian National Schools…
Descriptors: Standards, Guidelines, Program Evaluation, Foreign Countries
Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
de Silva, Tricia L.; Zakzanis, Konstantine; Henderson, Joanna; Ravindran, Arun V. – Canadian Journal of Education, 2017
Poor academic performance and dropout are major concerns at post-secondary institutions. Influences include sociodemographic, psychosocial, and academic functioning factors. Canadian literature is limited, and little published data directly compare academic outcomes between local-born, immigrant, and international students. We conducted a…
Descriptors: Predictor Variables, Postsecondary Education, Academic Achievement, Outcomes of Education
Grau, Valeska; Calcagni, Elisa; Preiss, David D.; Ortiz, Dominga – Cambridge Journal of Education, 2017
This paper presents a teacher professional development programme, based on a university-schools partnership and a collective reflection model, addressing the needs of in-service teacher education in Chile. First, the main challenges faced by both teachers and teacher education in Chile are summarised. Then, the foundations of this model are…
Descriptors: Foreign Countries, Faculty Development, College School Cooperation, Partnerships in Education

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