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Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
Royer, Dan W.; Baker, Russell D. – New Directions for Community Colleges, 2018
This chapter considers difficulties with traditionally organized developmental math course sequences from the literature and practice. We then report initial student success findings following the system-wide implementation of a corequisite model in developmental math.
Descriptors: Mathematics Achievement, Developmental Studies Programs, Mathematics Education, Sequential Approach
Pasqualotto, Angela; Venuti, Paola – Learning Disabilities Research & Practice, 2020
In this research, we examined the responsiveness to treatment in 49 Italian children with Dyslexia. In part A, we compare the efficacy of a phonological-based treatment (Ph-T) with a cognitive training of executive functions (CT). In part B, we investigate whether a sequential treatment (CT+Ph-T) has a larger remedial effect compared to the pure…
Descriptors: Dyslexia, Executive Function, Phonology, Rehabilitation
Tabinas, Camilo Apita – African Educational Research Journal, 2019
This study aimed to make a teaching model out of the instructional flows of the teachers teaching engineering chemistry course. Specifically, the study aimed to identify the teaching styles the teachers used in the actually delivery of the chemistry lessons. Thus, this is a descriptive study on the teaching style employed and learning styles…
Descriptors: Teaching Styles, Chemistry, Science Instruction, Engineering Education
Wen, Cai-Ting; Chang, Chia-Jung; Chang, Ming-Hua; Fan Chiang, Shih-Hsun; Liu, Chen-Chung; Hwang, Fu-Kwun; Tsai, Chin-Chung – Instructional Science: An International Journal of the Learning Sciences, 2018
This study investigated students' modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the…
Descriptors: Educational Games, Simulation, Problem Solving, Models
Sung, Euisuk; Kelley, Todd R. – International Journal of Technology and Design Education, 2019
Design is a key element of both the teaching and learning of engineering and technology. However, the process of engineering design has yielded limited research results. This study explored the iterative design process by searching for sequential design thinking patterns. The researchers collected nine concurrent think-aloud protocols from…
Descriptors: Sequential Approach, Design, Thinking Skills, Engineering Education
Choffin, Benoît; Popineau, Fabrice; Bourda, Yolaine; Vie, Jill-Jênn – International Educational Data Mining Society, 2019
Spaced repetition is among the most studied learning strategies in the cognitive science literature. It consists in temporally distributing exposure to an information so as to improve long-term memorization. Providing students with an adaptive and personalized distributed practice schedule would benefit more than just a generic scheduler. However,…
Descriptors: Intervals, Scheduling, Repetition, Memorization
Käser, Tanja; Schwartz, Daniel L. – International Educational Data Mining Society, 2019
Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…
Descriptors: Educational Environment, Interaction, Cluster Grouping, Models
Cook, Joshua; Lynch, Collin F.; Hicks, Andrew G.; Mostafavi, Behrooz – International Educational Data Mining Society, 2017
BKT and other classical student models are designed for binary environments where actions are either correct or incorrect. These models face limitations in open-ended and data-driven environments where actions may be correct but non-ideal or where there may even be degrees of error. In this paper we present BKT-SR and RKT-SR: extensions of the…
Descriptors: Models, Bayesian Statistics, Data Use, Intelligent Tutoring Systems
Buis, Maarten L. – Sociological Methods & Research, 2017
This article deals with a model for describing a sequence of events, for example, education is typically attained by a set of transitions from one level of education to the next. In particular, this article tries to reconcile measures describing the effect of a variable on each of these transitions, with measures describing the effect of this…
Descriptors: Models, Measurement Techniques, Regression (Statistics), Sequential Approach
Whitney, Rich; Early, Sherry; Whisler, Travis – Journal of College and University Student Housing, 2016
Resident assistant training happens every year for the approximate 10,000 RAs who work on campuses across the country. These training programs can include classes, pre-service summer weeks, and ongoing training throughout the year. Following educational and training models such as CAS, assessment, Bloom's taxonomy, adventure programming, and…
Descriptors: College Students, Resident Advisers, Training Methods, Models
Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
Osler, James Edward, II – Journal on Educational Psychology, 2016
The overall aim of this paper is to provide an epistemological rational for the measurement of intentionality. The purpose of this narrative is to identify "Intentionality" as an arena of action in the dispositional learning domain can be measured using an "Intentionality Measurement Instrument" [also referred by the acronym…
Descriptors: Measures (Individuals), Intention, Motivation, Personality
Wang, Ting; Li, Min; Thummaphan, Phonraphee; Ruiz-Primo, Maria Araceli – International Journal of Testing, 2017
Contextualized items have been widely used in science testing. Despite common use of item contexts, how the influence of a chosen context on the reliability and validity of the score inferences remains unclear. We focused on sequential cues of contextual information, referring to the order of events or descriptions presented in item contexts. We…
Descriptors: Science Tests, Cues, Difficulty Level, Test Items
Meikle, Erin M. – Teaching Children Mathematics, 2016
Many teachers are using the Five Practices model to guide them in orchestrating whole-class mathematics discussions that focus on understanding: (1) anticipate an array of possible student-generated solution strategies to a mathematical task before implementing the lesson; (2) monitor students' work as they grapple with the task; (3) select a…
Descriptors: Mathematics Instruction, Teaching Methods, Methods Courses, Elementary School Mathematics

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