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Malakar, Partha; Basu, Jayanti – International Journal of School & Educational Psychology, 2017
The aim of the study was to determine whether the general intelligence, cognitive processes, school achievement, and intelligence-achievement relationship of adolescents with subclinical levels of obsessive-compulsive symptoms differed from those of their normal counterparts. From an initial large pool of 14-year-old Bengali students in eighth…
Descriptors: Adolescents, Symptoms (Individual Disorders), Anxiety Disorders, Cognitive Processes
Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Educational and Psychological Measurement, 2022
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Artificial Intelligence, Item Response Theory, Item Analysis
Ferdowsi, Sima; Razmi, Mohammad Hasan – Journal of Psycholinguistic Research, 2022
Simultaneous interpreting (SI) is a cognitively complex activity due to the concurrent nature of receiving and producing messages. Previous research confirms that SI is profoundly influenced by cognitive, attitudinal, and psychological mechanisms. Following this line of enquiry, the present investigation proposes a unique model by integrating…
Descriptors: Correlation, Emotional Intelligence, Translation, Majors (Students)
Soysal, Dilek; Bani-Yaghoub, Majid; Riggers-Piehl, Tiffani A. – Pedagogical Research, 2022
The relationships between math anxiety and other variables such as students' motivation and confidence have been extensively studied. The main purpose of the present study was to employ a machine learning approach to provide a deeper understanding of variables associated with math anxiety. Specifically, we applied classification and regression…
Descriptors: Mathematics Anxiety, STEM Education, Predictor Variables, Self Esteem
Kim, Jinhee; Lee, Hyunkyung; Cho, Young Hoan – Education and Information Technologies, 2022
Preparing students to collaborate with AI remains a challenging goal. As AI technologies are new to K-12 schools, there is a lack of studies that inform how to design learning when AI is introduced as a collaborative learning agent to classrooms. The present study, therefore, aimed to explore teachers' perspectives on what: (1) curriculum design,…
Descriptors: Artificial Intelligence, Cooperation, Curriculum Development, Elementary Secondary Education
Getchell, Kristen M.; Carradini, Stephen; Cardon, Peter W.; Fleischmann, Carolin; Ma, Haibing; Aritz, Jolanta; Stapp, James – Business and Professional Communication Quarterly, 2022
The rapid, widespread implementation of artificial intelligence technologies in workplaces has implications for business communication. In this article, the authors describe current capabilities, challenges, and concepts related to the adoption and use of artificial intelligence (AI) technologies in business communication. Understanding the…
Descriptors: Artificial Intelligence, Business Communication, Ethics, Lexicography
Robinson Anthony, Jonathan J. D.; Blumenfeld, Henrike K.; Potapova, Irina; Pruitt-Lord, Sonja L. – International Journal of Bilingual Education and Bilingualism, 2022
The current work investigates whether language dominance predicts transfer of skills across cognitive-linguistic levels from the native language (Spanish) to the second language (English) in bilingual preschoolers. Sensitivity to cognates ("elephant/elefante" in English/Spanish) and metalinguistic awareness (MLA) have both been shown to…
Descriptors: Language Dominance, Transfer of Training, Spanish, English (Second Language)
Carretti, Barbara; Cornoldi, Cesare; Antonello, Arianna; Di Criscienzo, Laura; Toffalini, Enrico – Scientific Studies of Reading, 2022
The study examines whether the average performance of the population with dyslexia in a working memory measure can be inferred dimensionally from the characteristics of the typical population. Specifically, we focused on Associative Phonological Working Memory (APWM), an ability that we predicted being impaired in dyslexia due to the relationship…
Descriptors: Dyslexia, Short Term Memory, Reading Ability, Associative Learning
Rodríguez, M. Elena; Guerrero-Roldán, Ana Elena; Baneres, David; Karadeniz, Abdulkadir – International Review of Research in Open and Distributed Learning, 2022
This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…
Descriptors: Artificial Intelligence, Electronic Learning, College Students, Intervention
Talan, Tarik; Kalinkara, Yusuf – International Society for Technology, Education, and Science, 2022
With the rapid development of science and technology in recent years, the application areas of fuzzy logic have also gained speed. Fuzzy logic is a frequently preferred approach in the educational process, and it can be said that scientific publications on this topic have recently gained momentum in the literature. In this context, the present…
Descriptors: Databases, Research Reports, Foreign Countries, Universities
Chung Hyewon; Kim, Jung-In; Jung, Eunjin; Park, Soyoung – International Journal of Educational Psychology, 2022
The Program for International Student Assessment (PISA) aims to provide comparative data on 15-year-olds' academic performance and well-being. The purpose of the current study is to explore and compare the variables that predict the reading literacy and life satisfaction of U.S. and South Korean students. The random forest algorithm, which is a…
Descriptors: Comparative Education, Predictor Variables, Literacy, Life Satisfaction
Veeragoudar, Sneha; Sullivan, Florence R. – ACM Transactions on Computing Education, 2022
Here, we present the results of a study of in-service teachers' responses to equity-based case study vignettes focused on racialized classroom incidents. This study was conducted in the context of an ongoing research practice partnership aimed at integrating computer science concepts in elementary grades. Our work took place in a public school…
Descriptors: Teacher Attitudes, Racial Attitudes, Computer Science, Elementary Education
Tilbe, Yohannes Tigro; Gai, Xiaosong – Early Child Development and Care, 2022
The present study investigated the relationship between teacher-child interaction quality and children's social-emotional and language development. Also considered was the level/status of classroom quality in preschool setting. Classroom Assessment Scoring System Pre-K (CLASS Pre-K), the Devereux Early Childhood Assessment (DECA-P2), and Peabody…
Descriptors: Teacher Student Relationship, Child Development, Social Emotional Learning, Educational Quality
Bogina, Veronika; Hartman, Alan; Kuflik, Tsvi; Shulner-Tal, Avital – International Journal of Artificial Intelligence in Education, 2022
This paper discusses educating stakeholders of algorithmic systems (systems that apply Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness, accountability, transparency and ethics (FATE). We begin by establishing the need for such education and identifying the intended consumers of educational materials on the…
Descriptors: Educational Technology, Computer Software, Artificial Intelligence, Stakeholders
Williams, Tricia; Wiener, Judith; Lennox, Carolyn; Kokai, Maria – Canadian Journal of School Psychology, 2022
The current paper describes the process used for developing the Guidelines for Diagnosis and Assessment of Children, Adolescents, and Adults with Learning Disabilities-Consensus Statement and Supporting Documents, and the rationale for some of the decisions. The guidelines were developed by a cross-sectoral working group of psychologists who…
Descriptors: Learning Disabilities, Disability Identification, Clinical Diagnosis, Students with Disabilities

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