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Liu, Ruitao; Tan, Aixin – Journal of Educational Data Mining, 2020
In this paper, we describe our solution to predict student STEM career choices during the 2017 ASSISTments Datamining Competition. We built a machine learning system that automatically reformats the data set, generates new features and prunes redundant ones, and performs model and feature selection. We designed the system to automatically find a…
Descriptors: Career Choice, Prediction, Automation, Artificial Intelligence
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Bonami, Beatrice; Piazentini, Luiz; Dala-Possa, André – Comunicar: Media Education Research Journal, 2020
Digital technology has provided users with new connections that have reset our understanding of social architectures. As a reaction to Artificial Intelligence (AI) and Big Data, the educational field has rearranged its structure to consider human and non-human stakeholders and their actions on digital platforms. In light of this increasingly…
Descriptors: Artificial Intelligence, Data, 21st Century Skills, Technology Uses in Education
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Hoffmann, Jessica D.; Ivcevic, Zorana; Maliakkal, Nadine – Journal of Creative Behavior, 2020
To thrive in today's economy and the workforce of the future, individuals need creativity and problem-solving skills. Emotion skills have been increasingly discussed as well, with companies listing emotional intelligence as one of the top skills needed for professional success. The present paper describes a course designed to teach professional…
Descriptors: Creative Thinking, Problem Solving, Emotional Intelligence, Adult Education
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McGill, Ryan J.; Ward, Thomas J.; Canivez, Gary L. – School Psychology International, 2020
The Wechsler Intelligence Scale for Children (WISC) is the most widely used intelligence test in the world. Now in its fifth edition, the WISC-V has been translated and adapted for use in nearly a dozen countries. Despite its popularity, numerous concerns have been raised about some of the procedures used to develop and validate translated and…
Descriptors: Children, Intelligence Tests, Translation, Test Validity
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Chen, Hsinyi; Zhu, Jianjun; Liao, Yung-Kun; Keith, Timothy Z. – Journal of Psychoeducational Assessment, 2020
This study investigated the factorial invariance of the Taiwan Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) across age and gender. A higher order five-factor model was tested on a nationally representative sample of 1,034 children aged 6-16 years. The results demonstrated full factorial invariance for Taiwan children of…
Descriptors: Foreign Countries, Children, Intelligence Tests, Adolescents
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Healy, Eamonn F.; Blade, Glenn – Journal of Chemical Education, 2020
While synthesis projects are not uncommon in the undergraduate organic curriculum, the problems posed are usually not representative of what chemists actually do. The sudden dislocation to online learning precipitated by the COVID-19 pandemic provided both a need and an opportunity to develop an organic synthesis project with greater relevance to…
Descriptors: Organic Chemistry, College Science, Science Instruction, Electronic Learning
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Meikleham, Alexandra; Hugo, Ron – European Journal of Engineering Education, 2020
Quality feedback is crucial to learning; the growth of online delivery has altered how it is obtained and shared. Educators interested in improving online learning can benefit from understanding formal and informal feedback flows existing in face-to-face environments and how these transfer online. This article examines the nuance of informal…
Descriptors: Feedback (Response), Curriculum Design, Online Courses, Electronic Learning
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Al-Elaimat, Ali; Adheisat, Majdi; Alomyan, Hesham – Early Child Development and Care, 2020
This study aimed at investigating the relationship between the parenting styles and emotional intelligence of a sample of kindergarten children in Zarqa II Governorate, Jordan. To achieve this objective, two measures were utilized, namely, the emotional intelligence scale of the kindergarten children and the parenting styles scale on a sample of…
Descriptors: Parenting Styles, Emotional Intelligence, Kindergarten, Young Children
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Gulz, Agneta; Londos, Ludvig; Haake, Magnus – International Journal of Artificial Intelligence in Education, 2020
This study investigated how preschool children processed and understood critical information in Magical Garden, a teachable agent-based play-&-learn game targeting early math. We analyzed 36 children's (ages 4-6 years) real-time behavior during game-use to explore whether children: (i) processed the information meant to support number sense…
Descriptors: Preschool Children, Educational Games, Mathematics Instruction, Preschool Education
Riego de Dios, Erin E. – Online Submission, 2020
This study aimed to assess the emotional intelligence and work values of the selected instructors from a teacher education institution. The researcher used a descriptive correlational design in this study with the questionnaire as the main instrument of gathering data. Thirty instructors took part in the survey via convenience sampling. For the…
Descriptors: Emotional Intelligence, Work Ethic, Teacher Educators, Values
Kunt, Aygül; Kesan, Cenk – Online Submission, 2020
Although the general purpose in this research is to use the artificial neural network model in mathematics education, the main purpose is to show the relationship between students' tendency towards the types of mathematical proof and the learning styles they have by using the artificial neural network model. In addition, SOM-Ward clustering…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Mathematics Skills
Fancsali, Stephen E.; Holstein, Kenneth; Sandbothe, Michael; Ritter, Steven; McLaren, Bruce M.; Aleven, Vincent – Grantee Submission, 2020
Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…
Descriptors: Artificial Intelligence, Automation, Persistence, Intelligent Tutoring Systems
Ashley S. Rowden – ProQuest LLC, 2020
Scientific understanding of the nature of intelligence has steadily evolved over the years; however, the past century has seen an explosion of research aimed at understanding the construction of intelligence, the relationships between neuroscience and cognitive skills, and the best ways to measure intellectual abilities. While there is no clear…
Descriptors: Cognitive Tests, Cognitive Ability, Factor Analysis, Factor Structure
Yao Du – ProQuest LLC, 2020
With the increased adoption and use of smart home speakers in households, many young children have learned to use listening and speaking to interact with the voice assistants (VAs) for a variety of daily activities (e.g., asking questions, listening to music). Despite the proliferation of VAs, due to the technical limitations such as automatic…
Descriptors: Interaction, Young Children, Artificial Intelligence, Educational Opportunities
Barrett Anderson – ProQuest LLC, 2020
Media like videogames (and novels, film, music, etc.) play an important role in most people's lives, and creation and comprehension of these works benefit from critical study. Scholarly analysis of media has been facilitated by information retrieval technology, which not only saves time, but also makes it possible to ask new kinds of questions.…
Descriptors: Video Games, Student Projects, Artificial Intelligence, Information Retrieval
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