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Schulz-Heidorf, Katrin; Jernes, Margrethe; Hoel, Trude; Mangen, Anne – European Early Childhood Education Research Journal, 2021
This article presents findings from a study carried out with groups of children (N = 72; M = 57.2 months) in early childhood education and care (ECEC) institutions in Norway. Twelve teachers read two stories, once in a print book format and once in a picture book app, with groups of children. Children's and teachers' verbal engagement was coded…
Descriptors: Computer Software, Norwegian, Early Childhood Education, Preschool Teachers
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Chang, Wei-Lun; Yeh, Yu-chu – Technology, Pedagogy and Education, 2021
This study proposed a game-based instruction approach by using bingo games and a mobile application to investigate its effects on motivation, knowledge sharing and critical thinking ability during the learning of information management. The participants were 86 undergraduate students who participated in an 18-week experimental instruction of…
Descriptors: Blended Learning, Game Based Learning, Teaching Methods, Computer Software
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Quaid, Ethan; Barrett, Alex – Language Education & Assessment, 2021
Research examining test taker fluency in simulated and face-to-face oral proficiency interview performances has primarily focused on quantitative spoken utterance fluency data alone, with further qualitative investigation of test taker processing fluency's effect being neglected. This study compared four test takers' spoken utterance and…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Comparative Analysis
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Halitoglu, Vedat – International Journal of Progressive Education, 2021
In this study, a three-week sample application for the use of the WebQuest method in Turkish language teaching was developed, and the effectiveness of the application was tried to be determined through a "achievement test" and students' views. The study employed the mixed methods design, in the quantitative stage of the study,…
Descriptors: Turkish, Teaching Methods, Web Based Instruction, Achievement Tests
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Cohen, Anat; Ezra, Orit; Hershkovitz, Arnon; Tzayada, Odelia; Tabach, Michal; Levy, Ben; Segal, Avi; Gal, Kobi – Educational Technology Research and Development, 2021
Personalizing the use of educational mathematics applets to fit learners' characteristics poses a great challenge. The present study adopted a unique approach by comparing personalization processes implemented by a machine to those implemented by a human teacher. Given the different affordances--the machine's access to historical log file data,…
Descriptors: Mathematics Instruction, Comparative Analysis, Pedagogical Content Knowledge, Teaching Methods
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Lai, Jung-Yu; Chang, Li-Ting – SAGE Open, 2021
The education community has gradually recognized the value of augmented reality (AR) technology and its positive impacts on student learning performance. Still, few studies have proposed specific solutions and results to confirm this phenomenon for first graders in English vocabulary learning. Hence, this research explores the effects of AR apps…
Descriptors: Grade 1, Elementary School Students, Computer Software, Computer Simulation
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Kouo, Jennifer; Visco, Courtney – Focus on Autism and Other Developmental Disabilities, 2021
Inferential readings skills are necessary in ensuring that students with autism spectrum disorders (ASD) are successful in the general education curriculum. These skills provide a foundation for reading comprehension across content areas. Technology-aided instruction and intervention (TAII) has the potential to address these reading deficits, by…
Descriptors: Inferences, Reading Comprehension, Autism, Pervasive Developmental Disorders
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Alm, Antonie; Watanabe, Yuki – Research-publishing.net, 2021
This short paper reports on the preliminary findings of a study into the use of Online Translators (OTs) by university language students. Students of Chinese, French, German, Japanese, and Spanish and their teachers responded to comparative surveys on their respective use and evaluation of OTs for L2 writing in formal language learning contexts.…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
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Meyer, Edgar R.; James, Amber M.; Sinning, Allan; Thompson, Kenneth; Cui, Dongmei – HAPS Educator, 2020
Despite proliferative use of anatomical virtual models, there are few studies exploring whether stereoscopic models help medical students retain information regarding three-dimensional (3D) relationships of structures. This pilot study examined first-year medical students' exposure to a virtual 3D stereoscopic pelvis model and their corresponding…
Descriptors: Anatomy, Teaching Methods, Medical Education, Medical Students
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Schumaker, Jean B.; Fisher, Joseph B.; Walsh, Lisa D.; Lancaster, Paula E. – Learning Disabilities Research & Practice, 2020
In each of two studies, teachers were randomly assigned to either a Virtual Workshop (VW) group that used a computerized professional development program or an Actual Workshop (AW) group that participated in face-to-face professional development, including discussion, feedback, and collaboration. In both studies, teachers' posttest scores related…
Descriptors: Teacher Workshops, Computer Simulation, Faculty Development, Feedback (Response)
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Malmberg, Lars-Erik – International Journal of Research & Method in Education, 2020
With a growing interest in research on educational processes, there is a need to overview suitable latent variable models for students' learning experiences in real-time. This tutorial provides an introduction to intraindividual (multilevel) structural equation models (ISEM) for the analysis of process data (e.g. intensive longitudinal,…
Descriptors: Structural Equation Models, Learning Experience, Educational Research, Personal Autonomy
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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
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Yenkimaleki, Mahmood; van Heuven, Vincent J.; Moradimokhles, Hossein – Computer Assisted Language Learning, 2023
In the present study, three groups of interpreter trainees were formed, two experimental groups, i.e., blended prosody instruction (BPI) and computer-assisted prosody training (CAPT), and one control group (CON). In this experiment the participants took part in a four-week teaching program for 16 sessions (60 minutes per session), i.e., 16 hours…
Descriptors: Intonation, Suprasegmentals, Computer Software, Pronunciation Instruction
Siebrase, Benjamin – ProQuest LLC, 2018
Multilayer perceptron neural networks, Gaussian naive Bayes, and logistic regression classifiers were compared when used to make early predictions regarding one-year college student persistence. Two iterations of each model were built, utilizing a grid search process within 10-fold cross-validation in order to tune model parameters for optimal…
Descriptors: Classification, College Students, Academic Persistence, Bayesian Statistics
Gao, Shanshan – ProQuest LLC, 2022
In the modern higher educational system, technology permeated almost all the provisions of educational processes and transformed individual learning transactions. Empirical evidence reveals students' skill gaps in the digitized campus and the real-world work environment driven by technology. Technical training is of high value and in high demand…
Descriptors: Andragogy, Learning Motivation, Personal Autonomy, Learning Theories
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