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Zehner, Fabian; Sälzer, Christine; Goldhammer, Frank – Educational and Psychological Measurement, 2016
Automatic coding of short text responses opens new doors in assessment. We implemented and integrated baseline methods of natural language processing and statistical modelling by means of software components that are available under open licenses. The accuracy of automatic text coding is demonstrated by using data collected in the "Programme…
Descriptors: Educational Assessment, Coding, Automation, Responses
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Warner, Laura A.; Chaudhary, Anil Kumar; Rumble, Joy N.; Lamm, Alexa J.; Momol, Esen – Journal of Agricultural Education, 2017
Today's complex issues require technical expertise as well as the application of innovative social science techniques within Extension contexts. Researchers have suggested that a social science approach will play a critical role in water conservation, and people who use home landscape irrigation comprise a critical target audience for agriculture…
Descriptors: Conservation (Environment), Water, Natural Resources, Use Studies
Jenkins, Davis; Lahr, Hana; Fink, John; Ganga, Elizabeth – Community College Research Center, Teachers College, Columbia University, 2018
Guided pathways reforms can take several years to implement at scale because they require a thoroughgoing redesign of a college's major functions, including: (1) organizing programs into career-focused meta-majors to enhance student recruitment and exploration and program improvement; (2) mapping clear paths to degrees, employment, and further…
Descriptors: Community Colleges, Program Administration, Educational Change, Change Strategies
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Elphinstone, Brad; Tinker, Sean – Journal of College Student Development, 2017
The Motivation and Engagement Scale-University/College (MES-UC) was used to identify student typologies on the basis of adaptive and maladaptive academic cognitions and behaviours. The sample comprised first-year (n = 390), second-year (n = 300), and third-year (n = 251) undergraduate students with 4 student typologies identified: high…
Descriptors: Student Motivation, Undergraduate Students, Likert Scales, Cohort Analysis
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Steinhardt, Isabel; Schneijderberg, Christian; Götze, Nicolai; Baumann, Janosch; Krücken, Georg – Higher Education: The International Journal of Higher Education Research, 2017
The quality assurance of teaching and learning as part of universities' governance and quality management has become a major subject in higher education and higher education politics worldwide. In addition, increasing academic attention has been paid to the quality assurance of teaching and learning, as is evident from the growing number of…
Descriptors: Quality Assurance, Higher Education, Concept Mapping, Instructional Effectiveness
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Durette, Barthélémy; Fournier, Marina; Lafon, Matthieu – Studies in Higher Education, 2016
In our knowledge society and economy, doctoral education is increasingly considered as a means to produce knowledge workers to feed the needs of the global employment market. This raises concerns about the competencies developed through doctoral training. Surprisingly, only a few studies have addressed this question and most of them are restricted…
Descriptors: Minimum Competencies, Doctoral Degrees, National Surveys, Cluster Grouping
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List, Alexandra; Grossnickle, Emily M.; Alexander, Patricia A. – Reading Psychology, 2016
The present study examined undergraduate students' multiple source use in response to two different types of academic questions, one discrete and one open-ended. Participants (N = 240) responded to two questions using a library of eight digital sources, varying in source type (e.g., newspaper article) and reliability (e.g., authors' credentials).…
Descriptors: Profiles, Questioning Techniques, Information Sources, Undergraduate Students
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Dani, Anita; Nasser, Ramzi – Turkish Online Journal of Educational Technology - TOJET, 2016
The purpose of this paper is to determine potential identifiers of students' academic success in foundation mathematics course from the data logs of the intelligent tutor Assessment for Learning using Knowledge Spaces (ALEKS). A cross-sectional study design was used. A sample of 152 records, which accounts to approximately 60% of the population,…
Descriptors: Postsecondary Education, Mathematics Education, Intelligent Tutoring Systems, Technology Uses in Education
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Sipes, Megan; Matson, Johnny L. – Journal of Autism and Developmental Disorders, 2014
With the publication of the "Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition", autism spectrum disorders are defined by two symptom clusters (social communication and restricted/repetitive behaviors) instead of the current three clusters. The current study examined the structure of the Baby and Infant Screen for…
Descriptors: Toddlers, Factor Structure, Pervasive Developmental Disorders, Autism
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DiPerna, James C.; Lei, Puiwa; Bellinger, Jill; Cheng, Weiyi – Society for Research on Educational Effectiveness, 2014
Teaching children to get along with others, care about themselves, and actively participate in learning are three of the most important outcomes of the schooling process. Yet children in some schools are not achieving these outcomes, and many educators have not received adequate training to create instructional environments that facilitate these…
Descriptors: Interpersonal Competence, Improvement Programs, Intervention, Program Effectiveness
Tataw, Oben Moses – ProQuest LLC, 2013
Interdisciplinary research in computer science requires the development of computational techniques for practical application in different domains. This usually requires careful integration of different areas of technical expertise. This dissertation presents image and time series analysis algorithms, with practical interdisciplinary applications…
Descriptors: Biology, Computation, Imagery, Time
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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
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Costa, Carolina; Alvelos, Helena; Teixeira, Leonor – Technology, Pedagogy and Education, 2016
This study analyses and compares the use of Web 2.0 tools by students in both learning and leisure contexts. Data were collected based on a questionnaire applied to 234 students from the University of Aveiro (Portugal) and the results were analysed by using descriptive analysis, paired samples t-tests, cluster analyses and Kruskal-Wallis tests.…
Descriptors: Foreign Countries, Web 2.0 Technologies, College Students, Questionnaires
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Stapleton, Laura M.; McNeish, Daniel M.; Yang, Ji Seung – Educational Psychologist, 2016
Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Statistical Data, Multivariate Analysis
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Livingston, Samuel A. – ETS Research Report Series, 2014
In this study, I investigated 2 procedures intended to create test-taker groups of equal ability by poststratifying on a composite variable created from demographic information. In one procedure, the stratifying variable was the composite variable that best predicted the test score. In the other procedure, the stratifying variable was the…
Descriptors: Demography, Equated Scores, Cluster Grouping, Ability Grouping
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