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Liu, Fang; Zhao, Liang; Zhao, Jiayi; Dai, Qin; Fan, Chunlong; Shen, Jun – IEEE Transactions on Learning Technologies, 2022
Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…
Descriptors: Data Use, Learning Management Systems, Problem Solving, Learning Processes
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Bulathwela, Sahan; Verma, Meghana; Pérez-Ortiz, María; Yilmaz, Emine; Shawe-Taylor, John – International Educational Data Mining Society, 2022
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…
Descriptors: Video Technology, Lecture Method, Data Analysis, Prediction
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Robson, Robby; Ray, Fritz; Hernandez, Mike; Blake-Plock, Shelly; Casey, Cliff; Hoyt, Will; Owens, Kevin; Hoffman, Michael; Goldberg, Benjamin – International Educational Data Mining Society, 2022
The context for this paper is the "Synthetic Training Environment Experiential Learning -- Readiness" (STEEL-R) project [1], which aims to estimate individual and team competence using data collected from synthetic, semi-synthetic, and live scenario-based training exercises. In STEEL-R, the "Generalized Intelligent Framework for…
Descriptors: Experiential Learning, Mathematical Models, Vignettes, Decision Making
MENTOR: National Mentoring Partnership, 2022
This publication is a supplementary resource to MENTOR's long-standing program guidance document, "The Elements of Effective Practice for Mentoring™" (ED594036). For over 20 years, the various iterations of that document (now in its 4th edition) have served as a starting point for community leaders and youth-serving professionals looking…
Descriptors: Mentors, Models, Program Implementation, Program Design
Morrison, Ryan – Online Submission, 2022
Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…
Descriptors: Models, Mathematics, Automation, Natural Language Processing
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Li, Jianzhu; Krenzke, Tom; Ren, Weijia; Mohadjer, Leyla; Fay, Robert; Erciulescu, Andreea – National Center for Education Statistics, 2022
The Program for the International Assessment of Adult Competencies (PIAAC) is a multicycle international survey of adult skills and competencies sponsored by the Organization for Economic Cooperation and Development (OECD). The survey examines a range of basic skills in the information age and assesses these adult skills consistently across…
Descriptors: Adults, International Assessment, Adult Literacy, Numeracy
Rebecca Lynne Towle Strawn – ProQuest LLC, 2022
The purpose of this descriptive, bounded, qualitative single-case study was to explore the experiences of ten training instructors at the School for Family and Morale, Welfare, and Recreation, a civilian training institution of the Army, about their transition to using a new standardized model of curriculum design and delivery. This study used…
Descriptors: Experiential Learning, Military Schools, Universities, Teachers
Angel D. Mootispaw – ProQuest LLC, 2022
Online course persistence at community colleges is a serious issue, with students being between 3 and 15 percentage points more likely to withdraw than those taking the on-campus equivalent (Xu et al., 2019). Despite the continued growth in distance education, quality online course design is a concern throughout the literature. This quantitative,…
Descriptors: Online Courses, Community Colleges, Community College Students, Distance Education
Curtis D. Mould – ProQuest LLC, 2022
This research explores the use of human-centered design as a lens through which to view the work of leaders in highly innovative schools. I propose that human-centered design is a model for change leadership, customizable to the varying contexts in which a school may exist. As human-centered design has captured the imagination of innovators as…
Descriptors: Educational Innovation, Institutional Characteristics, Design, Models
Caroline Prendergast – ProQuest LLC, 2022
Despite decades of increasing assessment activity in higher education, the literature provides few examples of assessment leading to improved student learning (Banta & Blaich, 2011). The simple model for learning improvement provides an avenue for linking assessment efforts with faculty development and pedagogical changes in order to increase…
Descriptors: Freshman Composition, Rhetoric, Intervention, Educational Improvement
Robert Shand; Stephen M. Leach; Fiona M. Hollands; Florence Chang; Yilin Pan; Bo Yan; Dena Dossett; Samreen Nayyer-Qureshi; Yixin Wang; Laura Head – Grantee Submission, 2022
We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…
Descriptors: Value Added Models, Data Analysis, Program Evaluation, Program Effectiveness
Wilson, Wesley K. – ProQuest LLC, 2022
Statement of Purpose and Method of Study: Conley's college readiness model includes four key indicators: cognitive skills, content knowledge, academic behaviors, and transition knowledge and skills. The study determined how State Educational Agencies (SEAs) outside Mississippi with an average or above-average post-secondary retention rate measure…
Descriptors: State Standards, Accountability, Models, College Readiness
Pooja G. Sidney; Julie F. Shirah; Lauren Zahrn; Clarissa A. Thompson – Grantee Submission, 2022
In mathematics, learners often spontaneously draw on prior knowledge when learning new ideas. In this study, we examined whether the specific diagrams used to represent more familiar (i.e., whole number division) and less familiar ideas (i.e., fraction division) shape successful transfer. Undergraduates (N = 177) were randomly assigned to…
Descriptors: Mathematics Education, Prior Learning, Transfer of Training, Visual Aids
Robert Shand; Stephen M. Leach; Fiona M. Hollands; Florence Chang; Yilin Pan; Bo Yan; Dena Dossett; Samreen Nayyer-Qureshi; Yixin Wang; Laura Head – American Journal of Evaluation, 2022
We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…
Descriptors: Value Added Models, Data Analysis, Program Evaluation, Program Effectiveness
Kimberly N. Carroll Steward – ProQuest LLC, 2022
Global climate change (GCC) presents unprecedented global concerns, notably food supply limitations, unsustainable use of natural resources, and widespread environmental degradation. The International Panel on Climate Change (IPCC) reports a 0.85 °C increase in global average temperatures between 1880 and 2018 and a 50% increase in global carbon…
Descriptors: Climate, Models, Teaching Methods, Secondary School Science
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