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Santos, Deborah L.; Gallo, Harrison; Barbera, Jack; Mooring, Suazette R. – Chemistry Education Research and Practice, 2021
Students' beliefs about their ability to improve their intelligence (known as mindset) likely have more impact on their academic outcomes when engaging in challenging learning environments, such as introductory undergraduate chemistry courses. To date, little research has been conducted on the chemistry-specific aspects of intelligence which…
Descriptors: Student Attitudes, Intelligence, Chemistry, Undergraduate Students
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Gresse von Wangenheim, Christiane; Hauck, Jean C. R.; Pacheco, Fernando S.; Bertonceli Bueno, Matheus F. – Education and Information Technologies, 2021
Teaching Machine Learning in school helps students to be better prepared for a society rapidly changing due to the impact of Artificial Intelligence. This requires age-appropriate tools that allow students to develop a comprehensive understanding of Machine Learning in order to become creators of smart solutions. Following the trend of visual…
Descriptors: Elementary Secondary Education, Computer Science Education, Artificial Intelligence, Instructional Materials
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Huang, Xiaodong – Education and Information Technologies, 2021
Cultivating students' key competencies contributes to students' adaptation to the fast developing intelligent era. Artificial intelligence education is an important way to cultivate students' key competencies. It is increasingly important to set up appropriate artificial intelligence courses at the fundamental education stage and cultivate…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Science Education, Competence
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Murray-Johnson, Kayon; Munro, Andrea; Popoola, Racheal – New Directions for Adult and Continuing Education, 2021
This article defines deep learning and describes how four technology-based activities can be used to promote deep learning in the online environment. The rationale for their use along with benefits, limitations, and alternatives are explored.
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Learning Activities
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Shankar, Shardul; Tewari, Vijayshri – Journal of Intelligence, 2021
Social networks have created an information diffusion corpus that provides users with an environment where they can express their views, form a community, and discuss topics of similar or dissimilar interests. Even though there has been an increasingly rising demand for conducting an emotional analysis of the users on social media platforms, the…
Descriptors: Emotional Intelligence, Social Media, Discourse Analysis, Psychological Patterns
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Brechet, Claire; Creissen, Sara; D'Audigier, Lucie; Vendeville, Nathalie – International Journal of Behavioral Development, 2021
When depicting emotions, children have been shown to alter the content of their drawings (e.g., number and types of expressive cues) depending on the characteristics of the audience (i.e., age, familiarity, and authority). However, no study has yet investigated the influence of the audience gender on children's depiction of emotions in their…
Descriptors: Psychological Patterns, Gender Differences, Freehand Drawing, Content Analysis
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Husnaini, M.; Al-Hidabi, Dawood Abdulmalek Yahya; Kartika, Betania; Victorynie, Irnie; Mukhtasor, Ahmad Shidqi – Online Submission, 2021
This article is qualitative-descriptive analytical research on multiple intelligences, a theory which Howard Gardner introduced. According to Howard Gardner's findings, the concept of multiple intelligences has been widely known and used in educational institutions. Multiple intelligences are also considered a theory that first recognized the…
Descriptors: Multiple Intelligences, Islamic Culture, Culturally Relevant Education, Islam
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Condor, Aubrey; Litster, Max; Pardos, Zachary – International Educational Data Mining Society, 2021
We explore how different components of an Automatic Short Answer Grading (ASAG) model affect the model's ability to generalize to questions outside of those used for training. For supervised automatic grading models, human ratings are primarily used as ground truth labels. Producing such ratings can be resource heavy, as subject matter experts…
Descriptors: Automation, Grading, Test Items, Generalization
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Sabnis, Varun; Abhinav, Kumar; Subramanian, Venkatesh; Dubey, Alpana; Bhat, Padmaraj – International Educational Data Mining Society, 2021
Today, there is a vast amount of online material for learners. However, due to the lack of prerequisite information needed to master them, a lot of time is spent in identifying the right learning content for mastering these concepts. A system that captures underlying prerequisites needed for learning different concepts can help improve the quality…
Descriptors: Prerequisites, Fundamental Concepts, Automation, Natural Language Processing
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Graf von Malotky, Nikolaj Troels; Martens, Alke – International Association for Development of the Information Society, 2021
ITSs have the requirement to be adaptive to the student with AI. The classical ITS architecture defines three components to split the data and to keep it flexible and thus adaptive. However, there is a lack of abstract descriptions how to put adaptive behavior into practice. This paper defines how you can structure your data for case based systems…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Development, Instructional Improvement
Maria B. Miller – ProQuest LLC, 2021
Classroom climate has an impact on students, and the teacher is the biggest contributing factor in how that climate is created. Teachers are expected to design a classroom climate that is positive and conducive to learning, fostered through meaningful interactions between and among the teacher and students. While positive classroom climate is…
Descriptors: Classroom Environment, Emotional Intelligence, Grade 4, Elementary School Teachers
Kurt John – ProQuest LLC, 2021
Today, artificial intelligence technologies (AI) add significant complexities to organizational learning, performance, and change, and these technologies are proliferating across all industries at rapidly increasing rates (West, 2018). However, most organizations do not understand how to make sense of AI (Brynjolfsson & McAfee, 2017), and the…
Descriptors: Organizational Learning, Artificial Intelligence, Biomedicine, Medical Research
Alicia Martinez – ProQuest LLC, 2021
Objective: In this study, the relationship between service-learning (SL) and emotional intelligence (EI) was investigated among first- and third-year medical school students. The mitigating effects of previous years of formalized service-learning experience were also reviewed. Method: Eighty-four first- and third-year medical students completed a…
Descriptors: Service Learning, Emotional Intelligence, Interpersonal Competence, Transformative Learning
Paulina Hinojosa Mazurek – ProQuest LLC, 2021
Undergraduate medical students run the risk of experiencing burnout throughout their training. The literature has demonstrated that strengthening emotional intelligence and understanding the authentic self has implications for well-being. This non-experimental, cross-sectional study aimed to test the relationship between emotional intelligence,…
Descriptors: Emotional Intelligence, Well Being, Undergraduate Students, Premedical Students
Joe Scott Holmes – ProQuest LLC, 2021
Fruitful ministry is the result of a lifetime of learning and an intentional pursuit of wisdom. The opposite of fruitful is barren, which leads to frustration. Frustrations are caused by a multitude of reasons. Rarely is that level of frustration that leads to quitting due to a lack of doctrinal understanding, improper communicative abilities, or…
Descriptors: Emotional Intelligence, Interpersonal Competence, Credentials, Leaders
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