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Tanmay Sharma; Rita E. Morassut; Christine Langlois; David Meyre – Journal of American College Health, 2024
Objective: To explore the patterns and predictors of body mass index (BMI) change among undergraduate students from Ontario (Canada). Participants: 68 undergraduate students were followed longitudinally for 3 years with anthropometric data collected bi-annually. Methods: BMI measurements were plotted to generate individual BMI trajectory curves,…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Body Composition
Yurtseven, Nihal; Atay, Derin; Bulut, Gülay – Biochemistry and Molecular Biology Education, 2022
Lack of motivation of students is a major concern for the instructors and administration in universities, and it is in their interest to address these issues in the most effective and efficient way. The purpose of this explanatory sequential mixed-method study is to examine the predictive power of the learning environment on student academic…
Descriptors: Student Motivation, College Students, Molecular Biology, Genetics
Owolabi Paul Adelana; Musa Adekunle Ayanwale; Ismaila Temitayo Sanusi – Cogent Education, 2024
This study addresses the challenge of teaching genetics effectively to high school students, a topic known to be particularly challenging. Leveraging the growing importance of artificial intelligence (AI) in education, the research explores the perspectives, attitudes, and behavioral intentions of pre-service teachers regarding the integration of…
Descriptors: Preservice Teachers, Biology, Science Teachers, Intention
Hickey, Emily J.; Nix, Robert L.; Hartley, Sigan L. – Journal of Autism and Developmental Disorders, 2019
Little research has examined family emotional climate in the context of having a child with autism spectrum disorder (ASD). The goal of the current study was to determine how the emotional quality of family subsystems (parent--child and parent couple relationships, for both mothers and fathers) combine to create various classes of family emotional…
Descriptors: Family Environment, Autism, Pervasive Developmental Disorders, Correlation
Qi, Xin; Zaroff, Charles M.; Bernardo, Allan B. I. – Autism: The International Journal of Research and Practice, 2016
Recent research examining the explanations given by the public (i.e. lay beliefs) for autism spectrum disorder often reveals a reasonably accurate understanding of the biogenetic basis of the disorder. However, lay beliefs often manifest aspects of culture, and much of this work has been conducted in western cultures. In this study, 215…
Descriptors: Autism, Pervasive Developmental Disorders, Etiology, Public Opinion
Interagency Autism Coordinating Committee, 2020
Each year, the Interagency Autism Coordinating Committee (IACC) releases a list of scientific advances that represent significant progress in the field. The "2019 IACC Summary of Advances" provides short, plain language summaries of the top research breakthroughs selected by the IACC from a pool of research articles nominated by the…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Predictor Variables
Yilmaz, Mirac; Demirhan, Haydar – European Journal of Science and Mathematics Education, 2014
The different opinions on products and applications of gene technology (GT) draw attention to the training and education activities related to GT. The purpose of this study is to review some variables predicting the acceptance perception regarding GT, and to investigate their changes at levels. The prospective teachers' subjective knowledge and…
Descriptors: Preservice Teachers, Student Teacher Attitudes, Adoption (Ideas), Science Teachers
Adams, Alison E. M.; Garcia, Jocelyn; Traustadóttir, Tinna – CBE - Life Sciences Education, 2016
Two sections of Genetics and Evolution were taught by one instructor. One group (the fully flipped section) had the entire class period devoted to active learning (with background material that had to be watched before class), and the other group (the partially flipped section) had just a portion of class time spent on active learning (with the…
Descriptors: Science Instruction, Quasiexperimental Design, Undergraduate Study, College Science
Baker, Ryan S.; Hershkovitz, Arnon; Rossi, Lisa M.; Goldstein, Adam B.; Gowda, Sujith M. – Journal of the Learning Sciences, 2013
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development
Kilinç, Ahmet; Kartal, Tezcan; Eroglu, Baris; Demiral, Ümit; Afacan, Özlem; Polat, Dilber; Demirci Guler, Mutlu P.; Görgülü, Özkan – Research in Science Education, 2013
The aim of the present study was to understand the nature of teaching efficacy beliefs related to a socioscientific issue (SSI). We investigated Turkish preservice science teachers' teaching efficacy beliefs about genetically modified (GM) foods using a belief system approach. We assumed that preservice teachers' beliefs about GM foods (content…
Descriptors: Foreign Countries, Preservice Teachers, Self Efficacy, Student Attitudes
Alexander, Cara J.; Crescini, Weronika M.; Juskewitch, Justin E.; Lachman, Nirusha; Pawlina, Wojciech – Anatomical Sciences Education, 2009
The goals of our study were to determine the predictive value and usability of an audience response system (ARS) as a knowledge assessment tool in an undergraduate medical curriculum. Over a three year period (2006-2008), data were collected from first year didactic blocks in Genetics/Histology and Anatomy/Radiology (n = 42-50 per class). During…
Descriptors: Feedback (Response), Medical Education, Audience Response, Genetics