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Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
Mun, Rachel U.; Hemmler, Vonna; Langley, Susan Dulong; Ware, Sharon; Gubbins, E. Jean; Callahan, Carolyn M.; McCoach, D. Betsy; Siegle, Del – Journal for the Education of the Gifted, 2020
Although the number of English learners (ELs) in the United States continues to increase, this population remains underserved by gifted and talented (GT) education programs across the nation. This underrepresentation represents a societal and research dilemma for reasons we address in this systematic review of the most effective practices…
Descriptors: English Language Learners, Academically Gifted, Talent Identification, Gifted Education
Aksu Dunya, Beyza; McKown, Clark; Smith, Everett – Journal of Psychoeducational Assessment, 2020
Emotion recognition (ER) involves understanding what others are feeling by interpreting nonverbal behavior, including facial expressions. The purpose of this study is to evaluate the psychometric properties of a web-based social ER assessment designed for children in kindergarten through third grade. Data were collected from two separate samples…
Descriptors: Emotional Intelligence, Psychometrics, Test Bias, Computer Assisted Testing
Aydogdu, Seyhmus – Turkish Online Journal of Distance Education, 2020
The purpose of this research is a comprehensive review of studies towards educational data mining (EDM) in Turkey. For the purpose of this study, graduate theses and articles conducted in Turkey were examined in detail. As a result of the literature review, 48 studies were analyzed in the context of the data mining purpose, the technique used in…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Academic Achievement
Tse, Andy C. Y.; Yu, C. C. W.; Lee, Paul H. – Autism: The International Journal of Research and Practice, 2020
Children with autism spectrum disorder are often reported to have more sleep deficits and poorer sleep quality compared with children with typical development. However, most previous studies have serious methodological limitations, such as varying sample sizes in the comparison groups, wide age range of participants, and body mass index not…
Descriptors: Sleep, Behavior Patterns, Children, Child Development
Kerimbayev, Nurassyl; Beisov, Nurbol; Kovtun, ?natoly; Nurym, Nurdaulet; Akramova, Aliya – Education and Information Technologies, 2020
Nowadays robotics is one of promising avenues in the sphere of emerging technologies. In the teaching/learning environment we deal with educational robotics, which is a mixture of theory and practice, knowledge of computer technology, Mathematics and Physics. The two vectors are combined in educational robotics: the educational vector and the…
Descriptors: Robotics, Technology Uses in Education, Educational Technology, Interdisciplinary Approach
Kettler, Ryan J. – School Psychology International, 2020
This article is a commentary on McGill et al.'s (2020) article "Use of Translated and Adapted Versions of the WISC-V: Caveat Emptor." McGill et al. use caveat emptor in their title to indicate that the buyer of an assessment must be careful about the product being purchased, presumably because the seller of the assessment is not being…
Descriptors: Children, Intelligence Tests, Translation, Test Reliability
Cropley, Arthur – Creativity Research Journal, 2020
Increasing digitization and robotization and the resulting cyber-physical systems (CPSs) are leading to an era in which artificial intelligence (AI) is becoming increasingly prominent in our lives. Making the best use of AI in engineering and technology will require not just practical and technical knowledge and skills but "creatively-focused…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Creativity
Deer, LillyBelle K.; Hastings, Paul D.; Hostinar, Camelia E. – Child Development, 2020
This study utilized data from the Avon Longitudinal Study of Parents and Children (N = 14,860) to examine whether early-life family income (age 0-5) predicted long-term academic achievement (age 16-18) and to investigate the role of executive function (EF) assessed multiple times across age 7-11 in explaining this association. Task-based EF was a…
Descriptors: Family Income, Academic Achievement, Predictor Variables, Young Children
Zhao, Jia-Lin; Cai, Dan; Yang, Cai-Yun; Shields, John; Xu, Zhe-Ning; Wang, Chun-Ying – Child & Youth Care Forum, 2020
Background: While trait emotional intelligence (EI) has been found to be related to young adolescents' affect, the underlying mechanisms need to be further explored. Previous findings are also limited by common method problems arising from the use of cross-sectional design involving single-wave data capture. Objective: The study aims to clarify…
Descriptors: Emotional Intelligence, Early Adolescents, Resilience (Psychology), Social Support Groups
Bhuvaneswari, G.; Baskaran, D. – Shanlax International Journal of Education, 2020
In this paper, the investigator indicates the emotional intelligence plays an important role in life and contributes to the personal and social development of an individual. There is something beyond the intellectual capacity, which determines the success of a person. A survey of the study of emotional intelligence of the higher secondary school…
Descriptors: Foreign Countries, Emotional Intelligence, Secondary School Teachers, Gender Differences
Shabbani, Mohammad Bagher; Latifi, Gholam Reza; Javaheri, Reza; Mazlum, Masumeh – Cogent Education, 2020
Emotional Intelligence (EQ) of the students and its impact on their academic achievement has been amply studied since decades ago. However, it seems that the relationship between the students' EQ and perceptions of Learner Autonomy (LA) has not been appropriately investigated to the date. This study aimed at exploring the relationship between…
Descriptors: Undergraduate Students, Emotional Intelligence, Student Attitudes, Personal Autonomy
Pitt, Edd; Bearman, Margaret; Esterhazy, Rachelle – Assessment & Evaluation in Higher Education, 2020
The literature on improving student engagement with assessment and feedback has a tendency to treat all students as if they are the same. Students with lower levels of attainment are generally under-represented within empirical studies and their feedback behaviours are less well understood. The recent drive to improve student assessment and…
Descriptors: Low Achievement, Feedback (Response), Student Evaluation, Positive Reinforcement
Nelson, Laura K. – Sociological Methods & Research, 2020
This article proposes a three-step methodological framework called computational grounded theory, which combines expert human knowledge and hermeneutic skills with the processing power and pattern recognition of computers, producing a more methodologically rigorous but interpretive approach to content analysis. The first, pattern detection step,…
Descriptors: Grounded Theory, Content Analysis, Expertise, Hermeneutics
Guerin, Julia M.; Sylvia, Allison M.; Yolton, Kimberly; Mano, Quintino R. – Journal of Research in Reading, 2020
Background: Multiple perspectives on cognitive development, including Cattell's Investment Theory (1963, 1987), suggest that fluid reasoning (Gf) is foundational to the development of academic knowledge and skills. Yet little is known of the role that Gf may play in reading achievement, particularly in comparison with a larger literature…
Descriptors: Role, Intelligence, Phonemic Awareness, Word Recognition

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