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Bardach, Lisa; Lüftenegger, Marko; Oczlon, Sophie; Spiel, Christiane; Schober, Barbara – European Journal of Psychology of Education, 2020
This study investigates the effects of contextual and motivational factors as well as, crucially, their interaction in predicting university students' dropout intentions. We focus on context-related problems in students' degree program as contextual factors and students' personal best goals (PB goals) as motivational factors. The sample of this…
Descriptors: Potential Dropouts, Goal Orientation, Student Motivation, Graduate Students
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Shogren, Karrie A.; Hicks, Tyler A.; Burke, Kathryn M.; Antosh, Anthony; LaPlante, Terri; Anderson, Mark H. – American Journal on Intellectual and Developmental Disabilities, 2020
The purpose of this study was to examine self-determination outcome data in the year following a one-year cluster randomized controlled trial (C-RCT) comparing the impacts of a Self-Determined Learning Model of Instruction (SDLMI) only condition to a SDLMI + "Whose Future Is It?" (SDLMI + WF) condition. Using multilevel B-spline model…
Descriptors: Intellectual Disability, Self Determination, Teaching Methods, Program Effectiveness
Domingue, Benjamin W.; Trejo, Sam; Armstrong-Carter, Emma; Tucker-Drob, Elliot M. – Grantee Submission, 2020
Interest in the study of gene-environment interaction has recently grown due to the sudden availability of molecular genetic data--in particular, polygenic scores--in many long-running longitudinal studies. Identifying and estimating statistical interactions comes with several analytic and inferential challenges; these challenges are heightened…
Descriptors: Genetics, Environmental Influences, Scores, Interaction
Yamashita, Takashi; Smith, Thomas J.; Cummins, Phyllis A. – Grantee Submission, 2020
Background: Several statistical applications including Mplus, STATA, and R are available to conduct analyses such as structural equation modeling and multi-level modeling using large-scale assessment data that employ complex sampling and assessment designs and that provide associated information such as sampling weights, replicate weights, and…
Descriptors: Learning Analytics, Computer Software, Syntax, Adults
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Hu, Qian; Rangwala, Huzefa – International Educational Data Mining Society, 2020
Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…
Descriptors: Artificial Intelligence, Bias, Learning Analytics, Statistical Analysis
Gilraine, Michael; Gu, Jiaying; McMillan, Robert – National Bureau of Economic Research, 2020
This paper proposes a new methodology for estimating teacher value-added. Rather than imposing a normality assumption on unobserved teacher quality (as in the standard empirical Bayes approach), our nonparametric estimator permits the underlying distribution to be estimated directly and in a computationally feasible way. The resulting estimates…
Descriptors: Value Added Models, Teacher Effectiveness, Nonparametric Statistics, Computation
Tessa Breann Price – ProQuest LLC, 2020
Counselor educators (CEs) are educators as well as dually trained counselors. Some CEs engage in continued clinical practice while working as tenured or tenure-track professors. I sought to understand the value of continued clinical practice for CEs to understand how clinical practice impacts teaching. Nine expert panelists were selected to…
Descriptors: Counselor Educators, Counselor Training, Accreditation (Institutions), Clinical Experience
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Kimberly Kappler-Hewitt; Heidi Von Dohlen; Jess Weiler; Bonnie Fusarelli; Barbara Zwadyk – International Journal of Mentoring and Coaching in Education, 2020
Purpose: The purpose of this study was to examine the architecture of internship coaching models from five innovative principal preparation programs in the Southeastern region of the USA. The researchers used coaching architecture in this context to include the assignment of coaches to interns, dosages, and enactment of evaluation and…
Descriptors: Educational Innovation, Internship Programs, Coaching (Performance), Models
Danielle Marie Miles – ProQuest LLC, 2020
Education researchers claim collaboration between school district leaders and principals is one of the key factors in successful school districts. Collaboration creates alignment and coherence throughout the organization. Factors that foster this collaboration are limited throughout education literature. This qualitative study explored factors…
Descriptors: School Districts, Educational Cooperation, Principals, Administrator Attitudes
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Katherine Borland; Cassie Rosita Patterson; Jasper Waugh-Quasebarth – Journal of Folklore and Education, 2020
This article describes and reflects upon the Ohio Field School model as a method of developing university-community partnerships that support locally driven efforts to address longstanding inequities in the Appalachian region, including those arising from university-implemented programs.
Descriptors: School Community Relationship, Partnerships in Education, Service Learning, Models
Nyamwange, Jackson – ProQuest LLC, 2023
Many school districts, particularly in inner-city communities, face numerous barriers to students' academic success. Unfortunately, the school paradigm is not constructed to address the glaring social/emotional conditions affecting millions of children (Anderson-Butcher et al., 2017). As a result, educators and social reformers have urged school…
Descriptors: Parent Attitudes, Teacher Attitudes, Community Schools, School Districts
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Yang, Qi-Fan; Lian, Li-Wen; Zhao, Jia-Hua – International Journal of Educational Technology in Higher Education, 2023
According to previous studies, traditional laboratory safety courses are delivered in a classroom setting where the instructor teaches and the students listen and read the course materials passively. The course content is also uninspiring and dull. Additionally, the teaching period is spread out, which adds to the instructor's workload. As a…
Descriptors: Undergraduate Students, Gamification, Artificial Intelligence, Robotics
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Scott, LaRon A.; Bell, Nicholas; Dayton, Meagan; Bowman, Rachel W.; Evans, Imani; Grillo, Monica; Spence, Christine; Layden, Selena J. – Exceptional Children, 2023
Special education teachers of color are underrepresented in research about attrition and retention, despite evidence of their role in the academic, social, and emotional success of students of color. We used critical quantitative methods and structural equation modeling to investigate the attrition and retention variability between special…
Descriptors: Special Education Teachers, Minority Group Teachers, Teacher Persistence, Decision Making
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Sun, Wei; Hong, Jon-Chao; Dong, Yan; Huang, Yue; Fu, Qian – Asia-Pacific Education Researcher, 2023
Online education has made it possible to implement the "classes suspended but learning continues" policy during the COVID-19 outbreak. However, the intangible sense of the online educational setting requires self-directed learning (SDL) and may force students to know the goals of learning that may impact their engagement. To understand…
Descriptors: Independent Study, Online Courses, COVID-19, Pandemics
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Salem, Alexandra C.; Gale, Robert; Casilio, Marianne; Fleegle, Mikala; Fergadiotis, Gerasimos; Bedrick, Steven – Journal of Speech, Language, and Hearing Research, 2023
Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…
Descriptors: Semantics, Computer Software, Aphasia, Classification
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