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Jost, Patrick – International Association for Development of the Information Society, 2021
Educators are increasingly confronted with technology-driven learning scenarios. Even before the push from the current pandemic, digital learning apps became an integrated didactic tool. Advanced computing can thereby support the digital content creation for educational courses offered on mobile platforms. Computed media content such as natural…
Descriptors: Artificial Intelligence, Computer Software, Nonverbal Communication, Decision Making
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Gómez Ramos, José Luis; Palazón Fernández, José Luis; Lirio Castro, Juan; Gómez-Barreto, Isabel Mª – International Journal of Bilingual Education and Bilingualism, 2022
Though concept maps and graphic organisers are useful tools for bilinguals to organise the information being managed and learned, its systematic use is not widened and decisive in CLIL domains. Apart from helping students to acquire meaningful learning, concept mapping might promote in them word-recognition skills for the identification and…
Descriptors: Concept Mapping, Content and Language Integrated Learning, Standardized Tests, Intelligence Quotient
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Van der Hallen, Ruth; Chamberlain, Rebecca; de-Wit, Lee; Wagemans, Johan – Journal of Autism and Developmental Disorders, 2018
Since its initial development, the embedded figures test (EFT) has been used extensively to measure local-global perceptual style. However, little is known about the perceptual factors that influence target detection. The current study aimed to investigate "disembedding" in children with and without ASD, aged 8-15 years, using the newly…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Control Groups
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Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Esparza, Julie; Shumow, Lee; Schmidt, Jennifer A. – NCSSSMST Journal, 2014
Through secondary analysis of data collected in middle school science classrooms, this study (a) compared gifted and regular students' beliefs about the malleability of intelligence in science; (b) investigated whether teaching gifted and talented middle-school students about malleability of the brain and study skills helped them to develop a…
Descriptors: Secondary School Science, Middle School Students, Grade 7, Student Attitudes
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Dhanapal, Saroja; Lim, Cally Cheng Yee – Asia-Pacific Forum on Science Learning and Teaching, 2013
The increasing awareness among educators around the world on the specialities of indoor and outdoor learning in enhancing students' academic performance and development of skills and attitudes influenced the purposes and background of this research study (Fagerstam, 2012; Jordet, 2010; Martin, 2010; Rickinson et al., 2004). Two key purposes…
Descriptors: Student Attitudes, Academic Achievement, Standards, Elementary School Students
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Andreou, Eleni; Vlachos, Filippos – Journal of Visual Literacy, 2013
The present study examined the link between learning styles and dyslexia in secondary school students, using the Visual-Auditory-Kinesthetic (VAK) learning styles model. According to the VAK model, most people possess a dominant or preferred learning style, however some people have a mixed and evenly balanced blend of the three styles. Our…
Descriptors: Foreign Countries, Secondary School Students, Cognitive Style, Learning Modalities
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Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Lin, Chien-Yu; Hsu, Hsiu-Ling – Interactive Learning Environments, 2015
This study focused on an intelligent robot which was viewed as a language teaching/learning tool to improve children's reading ability, reading interest, and learning behavior. The iRobiQ, with its multimedia contents, was employed to encourage children to read, speak, and answer questions. Fifty-seven pre-kindergarteners participated in this…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Reading Ability
Greenway, Gina – ProQuest LLC, 2012
Many factors contribute to student achievement. This study focuses on three areas: how students learn, how student personality type affects performance, and how course format affects performance outcomes. The analysis sought to improve understanding of the direction and magnitude with which each of these factors impacts student success. Improved…
Descriptors: Agricultural Education, Personality Traits, Cognitive Style, Learning Processes
Oteng, Ellen N. – ProQuest LLC, 2012
This dissertation examined the relationships between Howard Gardner's Multiple Intelligence Theory and students' gender, age, grade level, and enrollment into a public or private school. The research determined students' dominant intelligences and investigated whether students' intelligences may be influenced by demographic variables such as…
Descriptors: Comparative Analysis, Multiple Intelligences, Private Schools, Public Schools
Abdallah, Mahmoud M. S. – Online Submission, 2010
This book reports in detail on a research study that was conducted in Egypt. The main purpose of the study was to investigate the effect of using a Multiple Intelligences-Based Training Programme on developing first-year English majors' oral communication skills. Based on literature review and related studies, a list of 20 oral communication…
Descriptors: Scores, Multiple Intelligences, Effect Size, Pretests Posttests
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Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
Kiefer, William N. – 1980
A causal-comparative study was conducted among 56 educationally disadvantaged children to determine if children who had the benefit of a home-based experience were significantly different from their peers in intellectual ability, self-concept, and cognitive style. Using the cognitive-developmental method of instruction, trained para-professionals…
Descriptors: Action Research, Cognitive Style, Comparative Analysis, Home Programs
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Walker, N. William – Journal of School Psychology, 1981
Investigated the modification of impulsive responding to WISC-R subtests using a procedure which forced the child to delay before responding. Screened boys, ages 8-0 to 8-11, on the basis of cognitive tempo. Retesting showed the forced delay administration significantly improved the scoring of Impulsives but not of Reflectives. (Author/RC)
Descriptors: Children, Cognitive Style, Comparative Analysis, Intelligence Tests
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Finch, A.J., Jr.; And Others – Journal of Psychology, 1982
Forty-three emotionally disturbed children, ranging in age from 8.3 years to 15.6 years, were designated as either reflective or impulsive on the basis of performance on the Matching Familiar Figures Test. Subjects' performances on the three major factors of the Wechsler Intelligence Scale for Children-Revised (verbal comprehension, conceptual…
Descriptors: Adolescents, Children, Cognitive Processes, Cognitive Style
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