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Slater, Stefan; Baker, Ryan S.; Wang, Yeyu – International Educational Data Mining Society, 2020
Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…
Descriptors: Data Analysis, Engineering, Classification, Models
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Caprotti, Olga – Journal of Learning Analytics, 2017
This paper describes investigations in visualizing logpaths of students in an online calculus course held at Florida State University in 2014. The clickstreams making up the logpaths can be used to visualize student progress in the information space of a course as a graph. We consider the graded activities as nodes of the graph, while information…
Descriptors: Online Courses, Calculus, Markov Processes, Graphs
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Buser, Peter; Semmler, Klaus-Dieter – Journal of Learning Analytics, 2017
These pages aim to explain and interpret why the late Mika Seppälä, a conformal geometer, proposed to model student study behaviour using concepts from conformal geometry, such as Riemann surfaces and Strebel differentials. Over many years Mika Seppälä taught online calculus courses to students at Florida State University in the United States, as…
Descriptors: Geometry, Student Behavior, Mathematical Models, Graphs
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Fouh, Eric; Farghally, Mohammed; Hamouda, Sally; Koh, Kyu Han; Shaffer, Clifford A. – International Educational Data Mining Society, 2016
We present an analysis of log data from a semester's use of the OpenDSA eTextbook system with the goal of determining the most difficult course topics in a data structures course. While experienced instructors can identify which topics students most struggle with, this often comes only after much time and effort, and does not provide real-time…
Descriptors: Item Response Theory, Data Analysis, Mathematics, Intelligent Tutoring Systems
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Ocean, Mia – Journal of College Student Retention: Research, Theory & Practice, 2017
There is a wealth of literature on the integration of university students increasing retention and ultimate completion, yet much less is known about the connections or disconnections that exist for community college students. Therefore, I interviewed financially eligible Pell Grant community college students (n = 62) about their connections to…
Descriptors: Community Colleges, Two Year College Students, Student Attitudes, Social Integration
Education Trust, 2016
All across the country, leaders in colleges and universities are asking the same question: What can we do to improve student success, especially for the low-income students and students of color whose graduation rates often lag behind? This second practice guide: "Using Data to Improve Student Outcomes: Learning from Leading Colleges"…
Descriptors: Data Analysis, Information Utilization, Student Improvement, Outcomes of Education
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Petscher, Yaacov; Quinn, Jamie M.; Wagner, Richard K. – Developmental Psychology, 2016
Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…
Descriptors: Individual Development, Correlation, Longitudinal Studies, Oral Reading
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Michalski, Greg V. – Community College Journal of Research and Practice, 2014
Excessive course attrition is costly to both the student and the institution. While most institutions have systems to quantify and report the numbers, far less attention is typically paid to each student's reason(s) for withdrawal. In this case study, text analytics was used to analyze a large set of open-ended written comments in which students…
Descriptors: Student Attrition, Withdrawal (Education), Data Analysis, Models
Atkinson, Linton – ProQuest LLC, 2015
This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…
Descriptors: Teaching Experience, Data, Decision Making, Reading Achievement
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Swank, Jacqueline M.; Lambie, Glenn W.; Witta, E. Lea – Counselor Education and Supervision, 2012
The authors examined the psychometric properties of the Counseling Competencies Scale (CCS; University of Central Florida Counselor Education Faculty, 2009), an instrument designed to assess trainee competencies as measured in their counseling skills, dispositions, and behaviors. There was strong internal consistency for the 4-factor model for…
Descriptors: Test Validity, Interrater Reliability, Counselor Training, Measures (Individuals)
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Bozick, Robert; Gonzalez, Gabriella; Engberg, John – Journal of Student Financial Aid, 2015
The Pittsburgh Promise is a scholarship program that provides $5,000 per year toward college tuition for public high school graduates in Pittsburgh, Pennsylvania who earned a 2.5 GPA and a 90% attendance record. This study used a difference-in-difference design to assess whether the introduction of the Promise scholarship program directly…
Descriptors: Merit Scholarships, College Bound Students, Enrollment Influences, Enrollment Management
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Heathcock, Kristin – Journal of Library & Information Services In Distance Learning, 2015
Embedded librarians in online courses provide a wealth of service and information to students. Though students indicate that these services are valuable, the librarians providing embedded services frequently note that these projects are very time consuming. This study examines the provision of a less time-intensive model of embedded librarianship…
Descriptors: Online Courses, Models, Library Services, Library Research
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Borman, Kathryn; Murphy, Scott Patrick; LoSasso, Joseph; Schlanger, Lea – Society for Research on Educational Effectiveness, 2013
A widely cited meta-analysis of the effects of comprehensive school reform and student achievement (Borman, Hewes, Overman, and Brown, 2003) found Modern Red Schoolhouse-developed whole-school intervention programs to boost student achievement outcomes at rates on par with or higher than other comprehensive school reforms such as "America's…
Descriptors: Leadership Styles, Participative Decision Making, Transformational Leadership, Models
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White, Alicie H.; Wilson, Judy F.; Burns, Adam; Blum-Kemelor, Donna; Singh, Anita; Race, Patricia O.; Soto, Valery; Lockett, Alice F. – Journal of Nutrition Education and Behavior, 2011
Objective: To develop and test nutrition messages and supporting content with low-income mothers for use with theory-based interventions addressing fruit and vegetable consumption and child-feeding practices. Design: Six formative and 6 evaluative focus groups explored message concepts and tested messages, respectively. Setting: Research…
Descriptors: Qualitative Research, Mothers, Focus Groups, Nutrition
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Thompson, Carla J. – Journal of Educational Research and Practice, 2012
Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…
Descriptors: Early Intervention, Reading Instruction, Reading Programs, Data Collection
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