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Lena Frenken; Paul Libbrecht; Benjamin Becker; Gilbert Greefrath – International Journal of Mathematical Education in Science and Technology, 2024
The German national educational standards state explicitly that students should be enabled to successfully interact with dynamic geometry software. In a feasibility study on providing a standardized assessment instrument by digital means, in order to assess students' mathematical competencies, the implementation of a task with such a dynamic…
Descriptors: Geometry, Standardized Tests, Foreign Countries, Computer Software
Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel – International Journal of Artificial Intelligence in Education, 2024
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…
Descriptors: Cheating, Grading, Form Classes (Languages), Computer Software
Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – International Educational Data Mining Society, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Prediction, Models, Reading Ability, Computer Software
Carioti, Desiré; Stucchi, Natale Adolfo; Toneatto, Carlo; Masia, Marta Franca; Del Monte, Milena; Stefanelli, Silvia; Travellini, Simona; Marcelli, Antonella; Tettamanti, Marco; Vernice, Mirta; Guasti, Maria Teresa; Berlingeri, Manuela – Annals of Dyslexia, 2023
In this study, we validated the "ReadFree tool", a computerised battery of 12 visual and auditory tasks developed to identify poor readers also in minority-language children (MLC). We tested the task-specific discriminant power on 142 Italian-monolingual participants (8-13 years old) divided into monolingual poor readers (N = 37) and…
Descriptors: Language Minorities, Task Analysis, Italian, Monolingualism
Nakhon Kitjaroonchai; Pimolporn Sanitchai; Chomphunut Phutikettrkit – Journal of English Teaching, 2024
This study examined the relationships between reading assistant (RA) software usage, reading comprehension ability, and post-TOEIC reading scores among Thai EFL university students. Seventy-six students from a private international university in central Thailand participated. Data were collected from students' pre- and post-TOEIC reading scores…
Descriptors: Correlation, Computer Software, Computer Assisted Instruction, Reading Fluency
Wilson, Joshua; Huang, Yue; Palermo, Corey; Beard, Gaysha; MacArthur, Charles A. – International Journal of Artificial Intelligence in Education, 2021
This study examined a naturalistic, districtwide implementation of an automated writing evaluation (AWE) software program called "MI Write" in elementary schools. We specifically examined the degree to which aspects of MI Write were implemented, teacher and student attitudes towards MI Write, and whether MI Write usage along with other…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Computer Software
Wilson, Joshua; Huang, Yue; Palermo, Corey; Beard, Gaysha; MacArthur, Charles A. – Grantee Submission, 2021
This study examined a naturalistic, districtwide implementation of an automated writing evaluation (AWE) software program called "MI Write" in elementary schools. We specifically examined the degree to which aspects of MI Write were implemented, teacher and student attitudes towards MI Write, and whether MI Write usage along with other…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Computer Software
Egan, Cate A.; Merica, Christopher B.; Paul, David R.; Bond, Laura; Rose, Seth; Martin, Andrew; Vella, Chantal – Health Education Journal, 2023
Objectives: In the USA, 18% of school-aged young people are classified as obese, and rural populations appear to be particularly at risk. Achieving high levels of fitness reduces the risk of obesity and underlying health conditions. To better understand youth obesity trends and fitness levels, annual fitness testing ([FT], that is, surveillance)…
Descriptors: Physical Fitness, Health Behavior, Teacher Attitudes, Distance Education
Zita Lysaght; Gemma Cherry – Sage Research Methods Cases, 2022
An advantage of well-designed survey research is that, typically, it yields large volumes of quantitative and qualitative data. A key challenge researchers face is mining and reporting these data appropriately and promptly to inform research publications and presentations. When mixed methods are employed, and researchers attempt to master computer…
Descriptors: Mixed Methods Research, Research Methodology, Research Problems, Barriers
Zhanxia Yang; Patricia Moore Shaffer; Courtney Hagan; Parastu Dubash; Marina Bers – Grantee Submission, 2023
The aim of this study was to explore how the Coding as Another Language using ScratchJr (CAL-ScratchJr) curriculum, developed by Boston College's DevTech Research Group utilizing the ScratchJr app, impacted second grade students' computational thinking, coding skills, and reading comprehension. To accomplish this, the research team randomly…
Descriptors: Coding, Programming Languages, Computer Science Education, School Districts
Wawer, Aleksander; Chojnicka, Izabela – International Journal of Language & Communication Disorders, 2022
Background: Deficits in the ability to use language in social contexts, including storytelling skills, are observed across the autism spectrum. Development in machine-learning approaches may contribute to clinical psychology and psychiatry, given its potential to support decisions concerning the diagnosis and treatment of psychiatric conditions…
Descriptors: Language Usage, Language Impairments, Interpersonal Competence, Story Telling
Mark Bodner; Andrew Coulson – Grantee Submission, 2021
A randomized controlled trial group design study funded by IES NCR Grant R305A090527 was conducted in which 16,307 3rd, 4th, and 5th grade students in 52 school grade-level clusters were randomly assigned to receive ST Math (program revision Gen3), a supplemental mathematics software instructional intervention, or to a business-as-usual…
Descriptors: Mathematics Instruction, Computer Software, Computer Uses in Education, Elementary School Students
Vista, Alvin – European Journal of Educational Research, 2019
Cheating detection is an important issue in standardized testing, especially in large-scale settings. Statistical approaches are often computationally intensive and require specialised software to conduct. We present a two-stage approach that quickly filters suspected groups using statistical testing on an IRT-based answer-copying index. We also…
Descriptors: Cheating, Identification, Computer Software, Standardized Tests
Kita, Yoko – Indonesian Journal of English Language Teaching and Applied Linguistics, 2021
This study explores the effective utilization of the online program Forms via smartphones to enrich the classroom experience for both students and teachers in two prep classes for the standardized English Test, Eiken. The instructor used Forms to create, distribute, collect, and analyze surveys and quizzes. Students' attitudes toward English and…
Descriptors: Second Language Learning, Second Language Instruction, Learning Motivation, Telecommunications
Le Roux, Elizabeth W.; Eccles, Renata; Abdoola, Shabnam; Graham, Marien; van der Linde, Jeannie – South African Journal of Childhood Education, 2022
Background: The use of mobile health (mHealth) technology is rapidly expanding in healthcare worldwide. mHealth tools may provide parents with access to resources essential for promoting language development. Aim: The current study aimed to determine how an mHealth parental resource influenced 42 preschool children's (4.0-5.11 months old) language…
Descriptors: Telecommunications, Handheld Devices, Low Income Groups, Early Childhood Education