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Peer reviewed
Download full textMoon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko; Dahlstrom-Hakki, Ibrahim – Journal of Learning Analytics, 2022
Using multimodal data fusion techniques, we built and tested prediction models to track middle-school student distress states during educational gameplay. We collected and analyzed 1,145 data instances, sampled from a total of 31 middle-school students' audio- and video-recorded gameplay sessions. We conducted data wrangling with student gameplay…
Descriptors: Learning Analytics, Stress Variables, Educational Games, Middle School Students
Direct linkKim, Minseong; Knotts, Tami L.; Albers, Nancy D. – Education and Information Technologies, 2022
Engaging activities are increasingly a staple in higher education. Professional programs, including business, engineering, and healthcare, rely on engaging activities to better prepare students for their future careers. Experiential learning can be achieved through a wide variety of approaches that can generally be classified as hands-on…
Descriptors: Experiential Learning, Technology Uses in Education, College Students, Student Satisfaction
Uçar, Rezzan – International Journal of Progressive Education, 2022
This research aims to determine secondary school teachers' creativity and job satisfaction. For this purpose, a simple random sampling method was used in the study conducted with teachers working in secondary schools in Baglar, Kayapinar, Sur, and Yenisehir districts of Diyarbakir province. The research used short forms of the "Minnesota Job…
Descriptors: Foreign Countries, Elementary School Teachers, Job Satisfaction, Creative Teaching
Leigh McLean – Partnership for Public Education, 2023
On average, a U.S. teacher impacts about 3,000 students while in the classroom. Yet teaching is one of the most stressful occupations, and teachers leave the field at higher rates than many other professions. With a current estimated 3.8 million teachers in the U.S., the benefits of supporting teacher well-being are clear. In this brief, Dr. Leigh…
Descriptors: Teachers, Barriers, Psychological Patterns, Well Being
Silva Diaz, John Alexander; Köhler, Carmen; Hartig, Johannes – Applied Measurement in Education, 2022
Testing item fit is central in item response theory (IRT) modeling, since a good fit is necessary to draw valid inferences from estimated model parameters. "Infit" and "outfit" fit statistics, widespread indices for detecting deviations from the Rasch model, are affected by data factors, such as sample size. Consequently, the…
Descriptors: Intervals, Item Response Theory, Item Analysis, Inferences
Cuhadar, Ismail – Measurement: Interdisciplinary Research and Perspectives, 2022
In practice, some test items may display misfit at the upper-asymptote of item characteristic curve due to distraction, anxiety, or carelessness by the test takers (i.e., the slipping effect). The conventional item response theory (IRT) models do not take the slipping effect into consideration, which may violate the model fit assumption in IRT.…
Descriptors: Sample Size, Item Response Theory, Test Items, Mathematical Models
Marangoz, Irfan; Var, Sevde Mavi – Asian Journal of Education and Training, 2018
This study aims to analyze the relationship among somatotype structures, body compositions and estimated oxygen capacities of elite male handball players in Ahi Evran University Handball Team in 2017-2018 Turkish Men's Handball First Division. It was conducted on elite male handball players (n = 15) aged between 18 and 30 who voluntarily…
Descriptors: Foreign Countries, Males, Athletes, Human Body
Mathur, Maya B.; VanderWeele, Tyler J. – Research Synthesis Methods, 2021
Selective publication and reporting in individual papers compromise the scientific record, but are meta-analyses as compromised as their constituent studies? We systematically sampled 63 meta-analyses (each comprising at least 40 studies) in "PLoS One," top medical journals, top psychology journals, and Metalab, an online, open-data…
Descriptors: Periodicals, Peer Evaluation, Bias, Meta Analysis
Schug, Mark C. – Social Education, 2021
While both the 1918 influenza (aka Spanish flu) and the 2020 COVID-19 pandemics were devastating, the 1918 influenza pandemic was considered worse. Its origins are still debated, but it was first identified in the United States at Fort Riley, an Army base in Kansas. According to the Centers for Disease Control and Prevention (CDC), an estimated…
Descriptors: COVID-19, Pandemics, Comparative Analysis, Incidence
Fosnacht, Kevin; Graham, Polly – Journal of Student Affairs Research and Practice, 2022
With the increasing adoption of learning communities, it is imperative to document their effectiveness. Using a large, longitudinal, multi-institutional dataset, we found that linked-learning communities positively impact students' engagement and perceived gains. We also found that the estimated effect of learning communities varies widely across…
Descriptors: Communities of Practice, Learner Engagement, Program Effectiveness, Achievement Gains
Barnard-Brak, Lucy; Mutua, Kagendo; Williamson, Amy – Applied Cognitive Psychology, 2023
Performance for three independent living tasks were examined via task analyses. Given the relatively small sample size (n = 56) of individuals with intellectual and developmental disabilities, we simulated 1000 replications based upon observed results using Monte Carlo techniques. The results of the current study suggest that: (1) adaptive…
Descriptors: Task Analysis, Performance Factors, Independent Living, Intellectual Disability
Word Count, Genre, and Lexile of Texts in Four Popular Core Reading Programs in Grades Four and Five
Rand, Catherine L. – ProQuest LLC, 2023
This quantitative study examines the Lexile level, estimated volume, and genre of fourth- and fifth-grade texts used in four popular core reading series to analyze the programs' possible effects on instruction and comprehension. The four series include Houghton Mifflin Harcourt's Into Reading, Lucy Calkins' Units of Study for Teaching Reading,…
Descriptors: Word Frequency, Literary Genres, Reading Programs, Elementary School Students
Diego G. Campos; Tim Fütterer; Thomas Gfrörer; Rosa Lavelle-Hill; Kou Murayama; Lars König; Martin Hecht; Steffen Zitzmann; Ronny Scherer – Educational Psychology Review, 2024
Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…
Descriptors: Artificial Intelligence, Algorithms, Computer System Design, Natural Language Processing
Adam B. Wilson; William S. Brooks; Danielle N. Edwards; Jill Deaver; Jessica A. Surd; Obadiah J. Pirlo; William A. Byrd; Edgar R. Meyer; Amy Beresheim; Stephanie L. Cuskey; Jack G. Tsintolas; Eric S. Norrell; Harriet C. Fisher; Christopher W. Skaggs; Dmytro Mysak; Samantha R. Levin; Carlos E. Escutia Rosas; Andrew S. Cale; Md Nazmul Karim; Jenna Pollock; Nicholas J. Kakos; Monica S. O'Brien; Rebecca S. Lufler – Anatomical Sciences Education, 2024
Growth in the online survey market may be increasing response burden and possibly jeopardizing higher response rates. This meta-analysis evaluated survey trends over one decade (2011-2020) to determine: (1) changes in survey publication rates over time, (2) changes in response rates over time, (3) typical response rates within health sciences…
Descriptors: Online Surveys, Response Rates (Questionnaires), Health Sciences, Educational Research
Jessica Blume; Meghan Miller; Daniela O'Neill; Sally Ozonoff; Ann M. Mastergeorge – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The aims of this study were (a) to evaluate the convergent validity of the Language Use Inventory (LUI) with measures of autism spectrum disorder (ASD) symptoms, language, and social skills and (b) to assess discriminant validity of the LUI with measures of nonlanguage skills, including daily living skills and motor development. Method:…
Descriptors: Autism Spectrum Disorders, Language Usage, Delayed Speech, Children
