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Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan S. Baker; Vincent Aleven; Kenneth R. Koedinger – International Educational Data Mining Society, 2025
Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…
Descriptors: Decision Making, Computer Software, Tutoring, Electronic Learning
Foundation for Excellence in Education (ExcelinEd), 2023
This document contains a model policy for state departments of education to create a K-8 Math Act or policy. The intent of such Legislature is that each student is prepared for success in Algebra I starting with 60 minutes of daily math instruction to build math proficiency in grades Kindergarten through 8 using effective, standards aligned…
Descriptors: Elementary School Mathematics, Elementary Education, Models, State Policy
Cristina Vladescu – International Electronic Journal of Mathematics Education, 2023
This study aims at highlighting the relationship between mastery learning models and academic performance in mathematics, moderated by the number of hours allotted to studying mathematics. There are 305 first to eighth-grade students who learn at "Nae A. Ghica Middle School" in Romania. Students in sixth, seventh, and eighth grades…
Descriptors: Mastery Learning, Models, Mathematics Achievement, Study Habits
Ellis, Jules L. – Educational and Psychological Measurement, 2021
This study develops a theoretical model for the costs of an exam as a function of its duration. Two kind of costs are distinguished: (1) the costs of measurement errors and (2) the costs of the measurement. Both costs are expressed in time of the student. Based on a classical test theory model, enriched with assumptions on the context, the costs…
Descriptors: Test Length, Models, Error of Measurement, Measurement
Solomon, Benjamin G.; Poncy, Brian C. – School Psychology, 2019
The empirical literature on academic intervention has increasingly promoted comparative research, moving the field forward in addressing the question, "What works best?" Poncy et al. (2015), Skinner (2008, 2010), and Skinner, Fletcher, and Henington (1996) have suggested that researchers enhance traditional evaluations of learning…
Descriptors: Instruction, Time Factors (Learning), Time on Task, Efficiency
Negley, Jacob H.; Kelley, Colleen M.; Jacoby, Larry L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Change has been described as detrimental for later memory for the original event in research on retroactive interference. Popular accounts of retroactive interference treat learning as the formation of simple associations and explain interference as due to response competition, perhaps along with unlearning or inhibition of the original response.…
Descriptors: Interference (Learning), Memory, Undergraduate Students, Time on Task
Doyer, Ilse; Bean, Wilna L.; du Plessis, André – Bulgarian Comparative Education Society, 2023
This paper presents the use of the time-on-task analysis (TOTA) diagnostic model as an instrument to improve the efficient management of allocated academic time in schools and focuses on the descriptive analytics produced by the TOTA model. The model aims to analyse how time is spent during the school day to enable school leaders, managers, and…
Descriptors: Time on Task, Teaching Methods, Learning Processes, Time Management
Tripodi, Nicholas; Kelly, Kate; Husaric, Maja; Wospil, Rebecca; Fleischmann, Michael; Johnston, Susan; Harkin, Katherine – Anatomical Sciences Education, 2020
Student engagement is known to have several positive effects on learning outcomes and can impact a student's university experience. High levels of engagement in content-heavy subjects can be difficult to attain. Due to a major institutional restructure, the anatomy prosection laboratory time per subject was dramatically reduced. In response, the…
Descriptors: Anatomy, Models, Visual Aids, College Freshmen
Westera, Wim – Interactive Learning Environments, 2018
This paper presents a computational model for simulating how people learn from serious games. While avoiding the combinatorial explosion of a games micro-states, the model offers a meso-level pathfinding approach, which is guided by cognitive flow theory and various concepts from learning sciences. It extends a basic, existing model by exposing…
Descriptors: Computation, Models, Simulation, Games
D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
Dawson, Shirley; Napper, Vicki – Journal of the International Society for Teacher Education, 2020
Despite the presence of codes and laws, ethical decision-making by educators continues to elude understanding. The purpose of this descriptive study was to explore factors in education ethical decision-making that may influence teacher behaviors in order to develop training materials for future teachers. Previously vetted scenarios based on actual…
Descriptors: Ethics, Ethical Instruction, Moral Issues, Decision Making
Lorentzen, Torbjørn – Open Review of Educational Research, 2017
The background of the article is the recurrent discussion about allocation of playing time in team sports involving children and young athletes. The objective is to analyse "why" playing time is a topic for discussion among parents, coaches and athletes. The following question is addressed: Under which condition is it "fair" to…
Descriptors: Team Sports, Time Management, Time on Task, Resource Allocation
Bälter, Olle; Zimmaro, Dawn – Interactive Learning Environments, 2018
It is challenging for students to plan their work sessions in online environments, as it is very difficult to make estimates on how much material there is to cover. In order to simplify this estimation, we have extended the Keystroke-level analysis model with individual reading speed of text, figures, and questions. This was used to estimate how…
Descriptors: Keyboarding (Data Entry), Data Analysis, Time Management, Online Courses
List, Alexandra; Alexander, Patricia A.; Stephens, Lori A. – Discourse Processes: A multidisciplinary journal, 2017
Three indicators of undergraduate students' (n = 197) source evaluation were investigated as students completed an academic task requiring the use of multiple texts. The source evaluation metrics examined were students' (1) accessing of document information, (2) trustworthiness ratings, and (3) citation in written responses. All three indicators…
Descriptors: Undergraduate Students, Evaluation Methods, Information Sources, Credibility
Gardner, Margery – ProQuest LLC, 2017
Integrated STEM education comprises an exploration of the interconnections between science, technology, engineering and mathematics in order to reflect on how each discipline operates within real world contexts. Students benefit from the integrated STEM approach because it values students' real-life experiences and hands-on applications that…
Descriptors: STEM Education, Science Instruction, Integrated Curriculum, Active Learning
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