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Sharma, Amit; Van Hoof, Hubert B.; Ramsay, Crystal – Active Learning in Higher Education, 2019
The study reported here investigated reading among students from the perspective of how students choose to use their time and whether they self-ration it. A survey of undergraduate students found that their self-reported allocation of time to academic activities other than reading was positively correlated to the reading that they did and that…
Descriptors: Undergraduate Students, Time Factors (Learning), Decision Making, Reading Habits
Mandel, Philipp; Süssmuth, Bernd; Sunder, Marco – Education Economics, 2019
This study uses a newly compiled data set of instructional time and student performance by subject across German federal states for student cohorts enrolled at the primary level in the 1990s and tested at the secondary level in the 2000s. It finds evidence for the school inputs-student achievement relationship, taking nonlinearity,…
Descriptors: Academic Achievement, Teaching Methods, Elementary School Students, Time on Task
Jackson, Maggie – NAMTA Journal, 2017
"How much can one fathom in a heartbeat or know deeply at a glance? In a culture smitten with technology, what does good thinking look like?" This question sets the stage as Maggie Jackson explores society's relationship with devices and society's use of technology. She examines ways in which multitasking has jeopardized our ability to…
Descriptors: Montessori Method, Freedom, Self Control, Thinking Skills
Nazareno, Lori – Phi Delta Kappan, 2017
Everybody complains about a lack of time in school, but few are prepared to do anything about it. Laying the foundation before making such a shift is essential to the success of the change. Once a broad-based team has been chosen to do the work, they can follow a process explained in four steps with the apt acronym of T.I.M.E.: Taking stock,…
Descriptors: Time Factors (Learning), Time on Task, School Schedules, Scheduling
Rosen, Larry D. – Phi Delta Kappan, 2017
As young people are buffeted by one new communications technology after another, their ability to focus on the present and to learn has been eroding. But taking away their phones only makes them anxious which also impedes their learning. The author suggests a series of strategies that educators can employ to deepen their focus and improve their…
Descriptors: Sleep, Study Habits, Telecommunications, Handheld Devices
Gay, Brittany; Sonnenschein, Susan; Sun, Shuyan; Baker, Linda – Early Education and Development, 2021
Research Findings: Parent involvement is a critical way for children to learn about the importance of education and develop reading skills. Unfortunately, not all low-income parents are able to be involved in their children's education, which can have negative implications for children's reading development. The present study tested if the…
Descriptors: Poverty, Parent Participation, Reading Skills, Reading Instruction
Bozak, Ali; Aybek, Eren Can – International Journal of Contemporary Educational Research, 2020
The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental…
Descriptors: Artificial Intelligence, Networks, Regression (Statistics), Achievement Tests
Conradi, Lyndsey Aiono; Jameson, J. Matt; Fischer, Aaron J.; Farrell, Michael; Eichelberger, Carrie; Ryan, Joanna; Bowman, Jessica A.; McDonnell, John – Education and Training in Autism and Developmental Disabilities, 2020
Numerous studies have demonstrated the positive effects of the Good Behavior Game (GBG); however, limited information exists on the impact of the GBG on students with severe disabilities. This study investigated the impact of the GBG on students with severe disabilities and their off-task behaviors. Three students in three self-contained…
Descriptors: Severe Disabilities, Time on Task, Student Behavior, Self Contained Classrooms
Chen, Zhongzhou; Xu, Mengyu; Garrido, Geoffrey; Gunthrie, Matthew W. – Physical Review Physics Education Research, 2020
This study examines whether including more contextual information in data analysis could improve our ability to identify the relation between students' online learning behavior and overall performance in an introductory physics course. We created four linear regression models correlating students' pass-fail events in a sequence of online learning…
Descriptors: Correlation, Electronic Learning, Performance Factors, Learning Analytics
Teig, Nani; Scherer, Ronny; Kjaernsli, Marit – Journal of Research in Science Teaching, 2020
Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses ("product data"), students' log files offer additional…
Descriptors: Science Process Skills, Thinking Skills, Inquiry, Simulation
Lightbown, Patsy M.; Spada, Nina – Language Teaching, 2020
One of the challenges facing second and foreign language (L2) teachers and learners in primary and secondary school settings is the limited amount of time available. There is disagreement about how to meet this challenge. In this paper we argue against two 'common sense' recommendations for increasing instructional time -- start as early as…
Descriptors: Second Language Learning, Second Language Instruction, Elementary School Teachers, Elementary School Students
Taylor, Rebecca L.; Knorr, Kris; Ogrodnik, Michelle; Sinclair, Peter – International Journal for Academic Development, 2020
Midterm student feedback is a common process in post-secondary institutions that can lead to enhanced teaching practices and thereby potentially to higher ratings of instructional skills in summative course evaluations. At McMaster University, midterm student feedback is called a 'Course Refinement' and includes consultation with educational…
Descriptors: Foreign Countries, Undergraduate Students, Feedback (Response), Student Evaluation
Maboe, Motlhabane Jacobus – International Journal of Virtual and Personal Learning Environments, 2020
It is almost impossible to perform academic activities, such as accessing study material or contacting lecturers and other teaching and learning processes, at an open distance learning institution without the use of computers and the internet. This article investigates and reports on the time taken by students with and without disabilities to…
Descriptors: Electronic Learning, Distance Education, Students with Disabilities, Integrated Learning Systems
Marx, Teri A.; Miller, Faith G. – National Center on Intensive Intervention, 2020
The purpose of this guide is to provide an overview of behavioral progress monitoring and goal setting to inform data-driven decision making within tiered support models and individualized education programs (IEPs). The guide covers: (1) components of quality behavioral IEP goals; (2) how to know which behavior(s) should be addressed through an…
Descriptors: Goal Orientation, Decision Making, Individualized Education Programs, Behavior Problems
Bronstein, Briana; Breeden, Nicole; Glover, Todd A.; Reddy, Linda A. – Grantee Submission, 2020
Paraprofessionals are increasingly being hired to support students with special needs in schools and are key implementers of behavior interventions for students. However, research is limited on how paraprofessionals perceive the management of student behavior. Using a mixed-methods design approach, the current investigation assesses…
Descriptors: Paraprofessional School Personnel, Student Behavior, Attitudes, Behavior Problems