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Rienzo, Cinzia; Rolfe, Heather; Wilkinson, David – Education Endowment Foundation, 2015
The Changing Mindsets project sought to improve academic attainment by supporting pupils to develop a growth mindset: the belief that intelligence is not a fixed characteristic and can be increased through effort. Previous research (Good et al., 2003; Blackwell et al., 2007) has suggested that holding this belief enables pupils to work harder and…
Descriptors: Intelligence, Intervention, Workshops, Undergraduate Students
Tai, Sophie; Chen, Hao-Jan – Research-publishing.net, 2015
Computer-Assisted Language Learning (CALL) has gained increasing acceptance since it provides learners with abundant resources. Most researches confirm the beneficial effect of CALL on English as a Foreign Language (EFL) learners' cognitive, metacognitive, and affective developments. However, the diversity of students' intelligence is associated…
Descriptors: Computer Assisted Instruction, Educational Technology, Adolescents, Academically Gifted
Regional Educational Laboratory Mid-Atlantic, 2015
In this webinar, Dr. Carol Tomlinson of the University of Virginia presented the research base supporting the practice of differentiation and described the characteristics of effective differentiation. She led a discussion of how quality preparation can build and strengthen teachers' knowledge and skills in implementing differentiated instruction…
Descriptors: Teaching Methods, Individualized Instruction, Teacher Competencies, Knowledge Base for Teaching
Daniel, Rhonda – Graduate Management Admission Council, 2015
For its 16th annual Application Trends Survey, the Graduate Management Admission Council (GMAC) gathered and analyzed data from a total of 641 graduate business programs located at 306 universities worldwide to understand application volume, the applicant pool, and special efforts being made to attract candidates to graduate management programs.…
Descriptors: Masters Programs, Business Administration Education, Administration, Doctoral Programs
Sánchez, Inmaculada Arnedillo, Ed.; Isaias, Pedro, Ed.; Ravesteijn, Pascal, Ed.; Ongena, Guido, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and posters of the 15th International Conference on Mobile Learning 2019, which was organised by the International Association for Development of the Information Society and co-organised by the University of Applied Sciences, in Utrecht, The Netherlands, April 11-13, 2019. The Mobile Learning 2019 Conference…
Descriptors: Electronic Learning, Educational Research, Learning Analytics, Internet
Huang, Yifen – ProQuest LLC, 2010
Mixed-initiative clustering is a task where a user and a machine work collaboratively to analyze a large set of documents. We hypothesize that a user and a machine can both learn better clustering models through enriched communication and interactive learning from each other. The first contribution or this thesis is providing a framework of…
Descriptors: Man Machine Systems, Artificial Intelligence, Cluster Grouping, Feedback (Response)
Lane, Jonathan D.; Wellman, Henry M.; Olson, Sheryl L.; LaBounty, Jennifer; Kerr, David C. R. – British Journal of Developmental Psychology, 2010
The current study utilized longitudinal data to investigate how theory of mind (ToM) and emotion understanding (EU) concurrently and prospectively predicted young children's moral reasoning and decision making. One hundred twenty-eight children were assessed on measures of ToM and EU at 3.5 and 5.5 years of age. At 5.5 years, children were also…
Descriptors: Theory of Mind, Emotional Intelligence, Young Children, Decision Making
Libbrecht, Nele; Lievens, Filip; Schollaert, Eveline – Educational and Psychological Measurement, 2010
There exist a variety of measurement instruments for assessing emotional intelligence (EI). One approach is the use of other reports wherein knowledgeable informants indicate how well the scale items describe the assessed person's behavior. In other reports, the same EI scales are typically used as in self-reports. However, it is not known whether…
Descriptors: Emotional Intelligence, Measures (Individuals), Measurement, Measurement Techniques
Caplan, Bryan; Miller, Stephen C. – Intelligence, 2010
Education is by far the strongest predictor of whether a non-economist will share the economic beliefs of the average economist. (Caplan, 2001) Is the effect of education as large as it seems? Or is education largely a proxy for cognitive ability? Using data from the General Social Survey (GSS), we show that the estimated effect of education…
Descriptors: Intelligence, Educational Attainment, Cognitive Ability, Economics
Tyrer, Stephen P.; Wigham, Ann; Cicchetti, Domenic; Margallo-Lana, Marisa; Moore, P. Brian; Reid, Barbara E. – Journal of Autism and Developmental Disorders, 2010
The Prudhoe Cognitive Function Test (PCFT) directly measures the cognitive abilities of people with intellectual impairment. This study examined the relationship between this instrument and the Kaufman Brief Intelligence Test (K-BIT) and two shorter versions of the same scale. High correlations between the verbal and performance sections of the…
Descriptors: Intelligence Tests, Correlation, Cognitive Ability, Mental Retardation
Harris, Douglas N.; Rutledge, Stacey A.; Ingle, William K.; Thompson, Cynthia C. – Education Finance and Policy, 2010
The vast majority of research and policy related to teacher quality focuses on the supply of teachers and ignores teacher demand. In particular, the important role of school principals in hiring teachers is rarely considered. Using interviews of school principals in a midsized Florida school district, we provide an exploratory mixed methods…
Descriptors: Principals, Teacher Selection, Teacher Characteristics, Intelligence
Albanese, Ottavia; De Stasio, Simona; Di Chiacchio, Carlo; Fiorilli, Caterina; Pons, Francisco – Journal of Genetic Psychology, 2010
A substantial body of research has established that emotion understanding develops throughout early childhood and has identified three hierarchical developmental phases: external, mental, and reflexive. The authors analyzed nonverbal intelligence and its effect on children's improvement of emotion understanding and hypothesized that cognitive…
Descriptors: Tests, Social Cognition, Path Analysis, Nonverbal Ability
Learning outside the Laboratory: Ability and Non-Ability Influences on Acquiring Political Knowledge
Hambrick, David Z.; Meinz, Elizabeth J.; Pink, Jeffrey E.; Pettibone, Jonathan C.; Oswald, Frederick L. – Learning and Individual Differences, 2010
The purpose of this study was to identify sources of individual differences in knowledge acquired under natural conditions. Through its direct influence on background knowledge, crystallized intelligence (Gc) had a major impact on political knowledge, acquired over a period of more than 2 months, but there were independent influences of…
Descriptors: Predictor Variables, Individual Differences, Knowledge Level, Intelligence
Swami, Viren; Furnham, Adrian – Learning and Individual Differences, 2010
The present study examined inter-ethnic, rural-urban, and sex differences in self-assessed intelligence (SAI) in a Malaysian general population sample. In total, 633 individuals varying in rural or urban location, ethnicity (Malay, Kadazan, and Bajau), and sex (women versus men) provided their self-assessed overall intelligence and ten multiple…
Descriptors: Intelligence, Ethnicity, Rural Urban Differences, Foreign Countries
Wicherts, Jelte M.; Dolan, Conor V.; van der Maas, Han L. J. – Intelligence, 2010
In this rejoinder, we criticize Lynn and Meisenberg's (this issue) methods to estimate the average IQ (in terms of British norms after correction of the Flynn Effect) of the Black population of sub-Saharan Africa. We argue that their review of the literature is unsystematic, as it involves the inconsistent use of rules to determine the…
Descriptors: Socioeconomic Status, Intelligence Quotient, Foreign Countries, Criticism

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