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Saltman, Kenneth J. – London Review of Education, 2020
This article considers how the development of for-profit artificial intelligence (AI) technologies fosters the privatization of public education and erodes the values and practices of democratic education. The introduction situates the advent of digital technologies in the context of the structural economic and ideological shifts of the past 40…
Descriptors: Artificial Intelligence, Public Education, Democracy, Privatization
Ratcliff, Roger; McKoon, Gail – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Two experiments are presented that use tasks common in research in numerical cognition with young adults and older adults as subjects. In these tasks, one or two arrays of dots are displayed, and subjects decide whether there are more or fewer dots of one kind than another. Results show that older adults, relative to young adults, tend to rely…
Descriptors: Aging (Individuals), Older Adults, Numeracy, Accuracy
Cantin-Garside, Kristine D.; Kong, Zhenyu; White, Susan W.; Antezana, Ligia; Kim, Sunwook; Nussbaum, Maury A. – Journal of Autism and Developmental Disorders, 2020
Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver and have low ecological validity and accuracy. To support an SIB monitoring system for autism spectrum disorder (ASD), we evaluated machine learning methods for detecting and distinguishing diverse SIB types. SIB episodes were captured with body-worn…
Descriptors: Self Destructive Behavior, Autism, Pervasive Developmental Disorders, Identification
Soboleva, Elena V.; Suvorova, Tatyana N.; Zenkina, Svetlana V.; Bocharov, Mikhail I. – European Journal of Contemporary Education, 2020
The problem that the study is aimed at is due to the need to change forms and methods of professional self-determination support for students in the digital society in order to prepare them for obtaining the specialization that is in demand and for the formation of the ability "to be able to learn" throughout the life. The purpose of the…
Descriptors: Technology Uses in Education, Self Determination, Career Guidance, Artificial Intelligence
Demuth, Katherine; Johnson, Mark – First Language, 2020
Exemplar-based learning requires: (1) a segmentation procedure for identifying the units of past experiences that a present experience can be compared to, and (2) a similarity function for comparing these past experiences to the present experience. This article argues that for a learner to learn a language these two mechanisms will require…
Descriptors: Comparative Analysis, Language Acquisition, Linguistic Theory, Grammar
Duff, Dawna; Brydon, Melissa – Journal of Research in Reading, 2020
Background: Teaching vocabulary may be an effective way to address poor reading comprehension. However, it is unclear how many words or word families a school aged child with poor vocabulary would need to learn to meaningfully impact comprehension. This study provides estimates of vocabulary size for children with differing vocabulary achievement…
Descriptors: Vocabulary Development, Individual Differences, Reading Comprehension, Elementary School Students
Skordoulis, Michalis; Liagkis, Marios Koukounaras; Sidiropoulos, Georgios; Drosos, Dimitrios – International Journal of Research in Education and Science, 2020
The aim of this paper is to examine the relationship between emotional intelligence and conflict resolution among secondary education teachers in Greece. The research sample consists of 130 high schools' teachers in Greece. Data were collected using a structured questionnaire, concerning teachers' working environment, their behavior during…
Descriptors: Foreign Countries, Emotional Intelligence, Conflict Resolution, High School Teachers
Glerum, Jaap; Loyens, Sofie M. M.; Wijnia, Lisette; Rikers, Remy M. J. P. – Educational Psychology, 2020
The present study investigates the effects of different kinds of praise on 108 students in vocational education, using a similar design as the original mindset studies. Students worked on a set of Raven's Standard Progressive Matrices and either received praise for effort, received praise for intelligence, or were in the control group. Results…
Descriptors: Student Motivation, Positive Reinforcement, Feedback (Response), Intention
Wang, Shanyong; Yu, Haotian; Hu, Xianfeng; Li, Jun – British Journal of Educational Technology, 2020
The advancement of technology, especially the development and application of artificial intelligence, has deeply affected the education sector and brought opportunities for pedagogical adaptation. Intelligent tutoring systems, a major application of artificial intelligence in education, have drawn extensive concerns. However, in reality, the…
Descriptors: College Faculty, Teacher Attitudes, Technology Integration, Intelligent Tutoring Systems
Toprak, Mustafa; Savas, Ahmet Cezmi – New Horizons in Adult Education & Human Resource Development, 2020
This study aims to examine the moderation effect of teachers' emotional labor (EL) on the relationship between school headmasters' emotional intelligence (EI) and teachers' job satisfaction (JS). This correlational research is based on data collected from 27 school headmasters and 469 teachers. Data were analyzed by using a moderated hierarchical…
Descriptors: Emotional Intelligence, Correlation, School Administration, Job Satisfaction
Ayasrah, Samer M.; Aljarrah, Abdalrahman H. – International Journal of Higher Education, 2020
This study aimed to recognize the differences in multiple intelligences among the students of Jordan University of Science and Technology with its relationship to gender, academic year, and achievement. The study sample consisted of 349 male and female participants. It used a descriptive analysis, the MacKenzie scale for multiple intelligences,…
Descriptors: Foreign Countries, Multiple Intelligences, Individual Differences, College Students
Fomunyam, Kehdinga George – International Journal of Higher Education, 2020
The Fourth Industrial Revolution is upon us, and it comes with implications for the higher education curriculum and organisations within Africa. Technology that was ubiquitous in previous decades, is now becoming obsolete. Artificial intelligence and digitization, which are features of the Fourth Industrial Revolution, are now the order of the…
Descriptors: Higher Education, Artificial Intelligence, Information Technology, Industrialization
Cottica, Alberto; Hassoun, Amelia; Manca, Marco; Vallet, Jason; Melançon, Guy – Field Methods, 2020
We propose a mixed methods approach to digital ethnographic research. Treating online conversational environments as communities that ethnographers engage with as in traditional fieldwork, we represent those conversations and the codes made by researchers thereon in network form. We call these networks "semantic social networks" (SSNs),…
Descriptors: Semantics, Social Networks, Ethnography, Computer Mediated Communication
Alenezi, Hadeel S.; Faisal, Maha H. – Education and Information Technologies, 2020
For many years, learning continues to be a vital developing field since it is the key measure of the world's civilization and evolution with its enormous effect on both individuals and societies. Enhancing existing learning activities in general will have a significant impact on literacy rates around the world. One of the crucial activities in…
Descriptors: Group Experience, Artificial Intelligence, Man Machine Systems, Literature Reviews
Ezz, Mohamed; Elshenawy, Ayman – Education and Information Technologies, 2020
Some of the educational organizations have multi-education paths such as engineering and medicine collages. In such colleges, the behavior of the student in the preparatory year determines which education path the student will join in the future. In this paper, an adaptive recommendation system is proposed for predicting a suitable education…
Descriptors: Educational Technology, Artificial Intelligence, Computation, Mathematics

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