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Butakor, Paul K.; Guo, Qi; Adebanji, Atinuke O. – Psychology in the Schools, 2021
The purpose of the study was to examine the causal relationship between teachers' emotional intelligence, job satisfaction, professional identity, and work engagement. And to achieve this purpose, a questionnaire consisting of four scales was administered to 260 teachers selected from the Adentan Municipal in the Greater Accra Region. Exploratory…
Descriptors: Structural Equation Models, Foreign Countries, Emotional Intelligence, Job Satisfaction
Lo, Siaw Ling; Tan, Kar Way; Ouh, Eng Lieh – Research and Practice in Technology Enhanced Learning, 2021
Do my students understand? The question that lingers in every instructor's mind after each lesson. With the focus on learner-centered pedagogy, is it feasible to provide timely and relevant guidance to individual learners according to their levels of understanding? One of the options available is to collect reflections from learners after each…
Descriptors: Automation, Artificial Intelligence, Identification, Reflection
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Khan, Ijaz; Ahmad, Abdul Rahim; Jabeur, Nafaa; Mahdi, Mohammed Najah – Smart Learning Environments, 2021
A major problem an instructor experiences is the systematic monitoring of students' academic progress in a course. The moment the students, with unsatisfactory academic progress, are identified the instructor can take measures to offer additional support to the struggling students. The fact is that the modern-day educational institutes tend to…
Descriptors: Artificial Intelligence, Academic Achievement, Progress Monitoring, Data Collection
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Tian, Xuetao; Liu, Feng – IEEE Transactions on Learning Technologies, 2021
Massive open online courses (MOOCs) have been an important learning tool in education. In order to reduce the high dropout rate and improve learners' satisfactions, it is urgent for MOOCs platform to provide course recommendation and tutoring service. To achieve it, it is necessary to determine and trace learners' learning state. Cognitive…
Descriptors: Online Courses, Item Response Theory, Course Selection (Students), Artificial Intelligence
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Keskin, Bülent; Özay Köse, Esra; Güloglu, Fadime – International Journal of Contemporary Educational Research, 2021
This study which used survey model aims to examine the relationship between the multiple intelligence and learning styles of the Social Sciences High School and Science High School students. Multiple Intelligence Inventory and Learning Styles Inventory were used as data collection tools, which was conducted on 761 students from Social Sciences…
Descriptors: Social Sciences, High School Students, Multiple Intelligences, Correlation
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Meier, Michaela A.; Burgstaller, Julia A.; Benedek, Mathias; Vogel, Stephan E.; Grabner, Roland H. – Journal of Intelligence, 2021
Mathematical creativity is perceived as an increasingly important aspect of everyday life and, consequently, research has increased over the past decade. However, mathematical creativity has mainly been investigated in children and adolescents so far. Therefore, the first goal of the current study was to develop a mathematical creativity measure…
Descriptors: Adults, Mathematics, Creativity, Intelligence
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Müggenburg, Jan – History of Education, 2021
This article analyses how Heinz von Foerster's Biological Computer Laboratory (BCL) translated cybernetic concepts into an experimental pedagogy tailored to the interests of the youth of the American intellectual counterculture. The existing research literature assumes that the opening of BCL to the counterculture in the early 1970s was the result…
Descriptors: Cybernetics, Experimental Teaching, Artificial Intelligence, Research
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Rees, Simon; Newton, Douglas – School Science Review, 2021
Creativity lies at the heart of science teaching and learning. However, stereotypically, creativity is more widely associated with the arts than the sciences. In this article, we challenge this perception and demonstrate how to teach for and with creativity in science. With developments in artificial intelligence, the need to foster students'…
Descriptors: Creativity, Science Instruction, Artificial Intelligence, STEM Education
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Graves, Scott L., Jr.; Smith, Leanne V.; Nichols, Kayla D. – Contemporary School Psychology, 2021
The purpose of this paper is to explore the factor structure of the Wechsler Intelligence Scale for Children--Fifth edition (WISC-V). As such, this is the first study that will examine the factor structure of the WISC-V in a non-standardization sample of Black children. Utilizing confirmatory and exploratory factor analytic techniques in AMOS our…
Descriptors: Children, Intelligence Tests, African American Students, Factor Structure
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Aydogdu, Seyhmus – Journal of Educational Computing Research, 2021
Student modeling is one of the most important processes in adaptive systems. Although learning is individual, a model can be created based on patterns in student behavior. Since a student model can be created for more than one student, the use of machine learning techniques in student modeling is increasing. Artificial neural networks (ANNs),…
Descriptors: Mathematical Models, Artificial Intelligence, Bayesian Statistics, Learning Processes
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Ozberk, Eren Halil; Unsal Ozberk, Elif Bengi; Uluc, Sait; Oktem, Ferhunde – International Journal of Assessment Tools in Education, 2021
The Kaufman Brief Intelligence Test--Second Edition (KBIT-2) is designed to measure verbal and nonverbal abilities in a wide range of individuals from 4 years 0 months to 90 years 11 months of age. This study examines both the advantages of using Mokken Scale Analysis (MSA) in intelligence tests and the hierarchical order of the items in the…
Descriptors: Intelligence Tests, Nonparametric Statistics, Test Items, Test Construction
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Jephcote, Calvin; Medland, Emma; Lygo-Baker, Simon – Assessment & Evaluation in Higher Education, 2021
The move from elite to mass systems of higher education has been accompanied by concerns relating to the quality of provision and standards, particularly in relation to the increasing proportion of higher grades awarded to students. Bayesian multilevel models were used to investigate the temporal trend of grade attainment in 101 higher education…
Descriptors: Grade Inflation, Grades (Scholastic), Academic Achievement, Intelligence
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Park, Claire Su-Yeon; Kim, Haejoong; Lee, Sangmin – Journal of Learning and Teaching in Digital Age, 2021
There have been discussions suggesting an ethics committee be established which would oversee humanity's efforts in Artificial Intelligence (AI) and its applications to our society. This concern arises mostly because of the limitations of existing data used for the development of AI algorithms that intrinsically reflect unfair and discriminatory…
Descriptors: Critical Thinking, Ethics, Artificial Intelligence, Coaching (Performance)
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Akkuzu-Guven, Nalan; Uyulgan, Melis Arzu – Journal of Education in Science, Environment and Health, 2021
Ecological intelligence is a comprehensive understanding that aims to create an awareness regarding how human activities affect ecosystems and to promote preventing unconscious consumption behaviors that would lead to a sustainable life. It enables us to take social, economic and environmental responsibility, also to act cooperatively and…
Descriptors: Environmental Education, College Students, Student Participation, Ecology
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Istapra, Eva; Sasongko, Rambat Nur; Kristiawan, Muhammad; Kusumah, Raden Gamal Tamrin; Walid, Ahmad – Education Quarterly Reviews, 2021
The purpose of this study was to determine the relationship between interpersonal intelligence and student learning outcomes so that there is an increase and strengthening of student achievement. The method used in this research is field research with a correlational quantitative approach which aims to analyze the relationship between…
Descriptors: Interpersonal Competence, Academic Achievement, Outcomes of Education, Emotional Intelligence
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