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Erdem Onan; Felicitas Biwer; Roman Abel; Wisnu Wiradhany; Anique de Bruin – npj Science of Learning, 2024
During category learning, students struggle to create an optimal study order: They often study one category at a time (i.e., blocked practice) instead of alternating between different categories (i.e., interleaved practice). Several interventions to improve self-study of categorical learning have been proposed, but these interventions have only…
Descriptors: Metacognition, Learning Strategies, Cues, Instructional Materials
Mishra, Avinash; Ceballos, Victoria; Himmelwright, Kelsey; McCabe, Shannon; Scott, Lindsay – Journal of Autism and Developmental Disorders, 2021
Children with Autism Spectrum Disorder (ASD) demonstrate delayed and atypical communication development. These deficits constitute a core criterion for the diagnosis of ASD, though information regarding gestural communication in toddlers with ASD remains limited. The present investigation implemented a robust gesture classification system in order…
Descriptors: Toddlers, Nonverbal Communication, Autism, Pervasive Developmental Disorders
Masihay-Akbar, Hasti; Amiri, Parisa; Rezaei, Marjan; Jalali-Farahani, Sara; Cheraghi, Leila; Momenan, Amir Abbas; Azizi, Fereidoun – Journal of School Health, 2022
Background: This study assesses the long-term effectiveness of a lifestyle intervention on cigarette, passive, and hookah smoking in adolescent boys and girls. Methods: One thousand one hundred and fifty-nine adolescent participants of Tehran Lipid and Glucose Study (TLGS) (2001-2004) were followed for 12 years. Participants in the intervention…
Descriptors: Life Style, Intervention, Gender Differences, Health Behavior
Kristine Cody; JoAnna M. Scott; Melanie Simmer-Beck – Journal of American College Health, 2024
Objective: To identify the prevalence of anxiety, depression, and suicidal ideation that would place university students at risk for mental health disorders. To explore the source of stressors and possible interventions that may benefit student mental health in a university setting. Participants: University students (n = 483) who had been learning…
Descriptors: Mental Health, COVID-19, Pandemics, Anxiety
Álava Sordo, Silvia; Cantero-García, María; Garrido-Hernansaiz, Helena; Sánchez-Iglesias, Iván; Santacreu Mas, José – Electronic Journal of Research in Educational Psychology, 2021
Introduction: The objective of this study is to find out if there are differences in selective and sustained attention between children with different subtypes of ADHD and children with learning disorders (LD), in order to improve the differential diagnosis between ADHD and PD and between the different subtypes of ADHD. Method: The sample…
Descriptors: Comparative Analysis, Attention Deficit Hyperactivity Disorder, Clinical Diagnosis, Learning Disabilities
Moustgaard, Helene; Jones, Hayley E.; Savovic, Jelena; Clayton, Gemma L.; Sterne, Jonathan AC; Higgins, Julian PT; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2020
Randomized clinical trials underpin evidence-based clinical practice, but flaws in their conduct may lead to biased estimates of intervention effects and hence invalid treatment recommendations. The main approach to the empirical study of bias is to collate a number of meta-analyses and, within each, compare the results of trials with and without…
Descriptors: Epidemiology, Evidence, Medical Research, Intervention
Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
Mack, Michael R.; Hensen, Cory; Barbera, Jack – Journal of Chemical Education, 2019
Quasi-experiments are common in studies that estimate the effect of instructional interventions on student performance outcomes. In this type of research, the nature of the experimental design, the choice in assessment, the selection of comparison groups, and the statistical methods used to analyze the comparison data dictate the validity of…
Descriptors: Science Instruction, Comparative Analysis, Inferences, Validity
D'Mello, Sidney K.; Southwell, Rosy; Gregg, Julie – Discourse Processes: A Multidisciplinary Journal, 2020
We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…
Descriptors: Discourse Analysis, Computer Software, Intervention, Computational Linguistics
Tokmic, Farah – ProQuest LLC, 2018
Social labeling of people with behavioral health disorders falls under the umbrella of "stigma" and plays a key role in limiting the access to behavioral healthcare. Currently, the U.S. spends an estimated $201B on behavioral health disorders every year, making it the number one most expensive medical condition. In any given year, 43.8M…
Descriptors: Social Bias, Behavior Disorders, Measurement Techniques, Comparative Analysis
Van Norman, Ethan R.; Parker, David C. – Assessment for Effective Intervention, 2018
Recent simulations suggest that trend line decision rules applied to curriculum-based measurement of reading progress monitoring data may lead to inaccurate interpretations unless data are collected for upward of 3 months. The authors of those studies did not manipulate goal line slope or account for a student's level of initial performance when…
Descriptors: Comparative Analysis, Curriculum Based Assessment, Reading Tests, Progress Monitoring
Li, Yanru – English Language Teaching, 2022
This study investigated the erroneous use of the high-frequency verb TAKE by the Chinese college learners of English as a foreign language (EFL), aiming to identify the similarities and differences between Chinese EFL learners, aimed at finding out more effective ways for the teaching and researching of the high-frequency verbs. Corpus-based…
Descriptors: Computational Linguistics, Verbs, Second Language Learning, Second Language Instruction
Rusmana, Ai Nurlaelasari; Roshayanti, Fenny; Ha, Minsu – Asia-Pacific Science Education, 2020
Metacognitive ability is enormously important for improving students' learning performance. However, overconfidence bias may hinder students' metacognition abilities. Therefore, in this study, we conducted an intervention to reduce or debias overconfidence among students using the KAAR (knowledge, awareness, action, and reflection) model. Ninety…
Descriptors: Undergraduate Students, Metacognition, Biology, Science Education
McLure, Felicity; Won, Mihye; Treagust, David F. – International Journal of Science Education, 2020
Although the benefits of addressing cognitive, social and affective aspects of learning in order to support conceptual change have been discussed in the literature, there are few studies of such interventions in the normal classroom. This study used a multidimensional conceptual change framework in order to teach five biology and physics topics…
Descriptors: Intervention, Science Instruction, Grade 9, Grade 10
Westerveld, Marleen F.; Filiatrault-Veilleux, Pamela; Paynter, Jessica – Autism & Developmental Language Impairments, 2021
Background and aims: The purpose of the current exploratory study was to describe the inferential narrative comprehension skills of young school-age children on the autism spectrum who, as a group, are at high risk of significant and persistent reading comprehension difficulties. Our aim was to investigate whether the anticipated difficulties in…
Descriptors: Inferences, Autism Spectrum Disorders, Narration, Story Telling