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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
dos Santos, Roberta Alvarenga; Paulista, Cássio Rangel; da Hora, Henrique Rego Monteiro – Technology, Knowledge and Learning, 2023
The demand for in-depth studies on educational data presupposes the application of technologies that allow data analysis of vast quantities, and subsequently, drawing relevant information and knowledge. The research objective herein is to employ data mining techniques on PISA databases to identify potential patterns that may explain the…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Opdecam, Evelien; Everaert, Patricia – Accounting Education, 2018
Accounting education faces significant challenges in many countries as it seeks to meet the demand of the profession in the twenty-first century. One of those requirements is that young professionals have teamwork skills. Therefore, many universities include group work activities in their curriculum. In the daily experience, however, students and…
Descriptors: Cooperative Learning, Misconceptions, Teamwork, Grouping (Instructional Purposes)
Scoggin, Daniel; Vander Ark, Tom – Education Next, 2018
A truism of school reform has long been the promise that technology, properly applied, will fuel dramatic improvement in teaching and learning. When tech-enabled schools or online learning programs haven't delivered the hoped-for results, some have dismissed these shortcomings as implementation problems--or evidence that we haven't yet deployed…
Descriptors: Technology Uses in Education, Time on Task, Prevention, Educational Environment
Pulay, Alana; Read, Marilyn; Tural, Elif; Lee, Seunghae – Educational Planning, 2018
Numerous studies suggest a correlation between a school's physical environment and children's academic success. A variable within the classroom environment that has received little attention in the literature is the interior lighting. It is known that higher levels of correlated color temperature (CCT) lighting influence worker productivity in a…
Descriptors: Lighting, Color, Elementary Schools, Grade 2
Ifenthaler, Dirk; Gibson, David; Zheng, Longwei – International Association for Development of the Information Society, 2018
This study is part of a research programme investigating the dynamics and impacts of learning engagement in a challenge-based digital learning environment. Learning engagement is a multidimensional concept which includes an individual's ability to behaviourally, cognitively, emotionally, and motivationally engage in an on-going learning process.…
Descriptors: Learner Engagement, Electronic Learning, Learning Analytics, College Students
Ansarin, Ali Akbar; Khabbazi, Salva Kazemipour – Eurasian Journal of Applied Linguistics, 2021
This study aims at comparing the effect of single- and dual-annotation modes, working memory (WM), and three tasks of different involvement loads (sentence writing, close deletion, and paragraph writing) on passive and active vocabulary development of proficient English as a foreign language (EFL) learners. While listening to an expository text,…
Descriptors: Cognitive Processes, Difficulty Level, Short Term Memory, Vocabulary Development