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Robiul Islam; Happy Kumar Das; Monjurul Islam – Journal on English Language Teaching, 2024
Many students who are pursuing graduate and postgraduate degrees are unable to effectively apply their learning to their daily lives and jobs. As a result, Bangladeshi graduates struggle with the country's high unemployment rate. As a result, it is essential to incorporate soft skills training into the curriculum to ensure how to put students'…
Descriptors: Soft Skills, Employment Potential, English (Second Language), Second Language Instruction
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Nizar Zulmi; Fatwa Tentama – Journal of Education and Learning (EduLearn), 2024
Vocational high schools aim to create graduates who are ready to work, but in reality, many graduates are not ready to work at this time. Low employability is the main problem. This study aims to design and test a theoretical model of the effect of entrepreneurial readiness, adversity quotient, and social intelligence on employability in…
Descriptors: Vocational High Schools, Entrepreneurship, Emotional Intelligence, Employment Potential
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Natalia Kucirkova; Alexis Hiniker – Learning, Media and Technology, 2024
This paper develops a critical perspective on the use of conversational agents (CAs) with children at home. Drawing on interviews with eleven parents of pre-school children living in Norway, we illustrate the ways in which parents resisted the values epitomised by CAs. We problematise CAs' attributes in light of parents' ontological perceptions of…
Descriptors: Parents, Parent Attitudes, Parent Child Relationship, Discussion
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Andrew Williams – International Journal of Research in Education and Science, 2024
Effective student feedback can have a significant influence on student motivation, learning and performance. However, feedback practices can be difficult to implement, thereby inhibiting the potential of feedback for student learning. Despite numerous attempts to improve the quality of feedback and student feedback literacy, difficulties persist,…
Descriptors: Feedback (Response), College Students, Barriers, Best Practices
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Davy Tsz Kit Ng; Chee Wei Tan; Jac Ka Lok Leung – British Journal of Educational Technology, 2024
In recent years, AI technologies have been developed to promote students' self-regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI-based (SRLbot) and rule-based AI chatbots (Nemobot) in a 3-week science learning experience with 74 Secondary 4 students in…
Descriptors: Student Empowerment, Learning Strategies, Self Management, Science Education
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Ana Belén Belmonte Arévalo; Silvia Alonso Salas; Olga Horgas Aliaga; Ramón Chacón Cuberos; José Manuel Nogueras Alabarce; Ana Ocaña Povedano – Electronic Journal of Research in Educational Psychology, 2024
Introduction: The main objective of this research was to analyze the relationship between Emotional Intelligence (EI) and victimization and aggression through social networks in adolescents. Bullying causes situations of conflict between students and teachers, being currently a phenomenon of great importance in the socio-educational environment…
Descriptors: Correlation, Victims, Computer Mediated Communication, Bullying
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Ramon Mayor Martins; Christiane Gresse von Wangenheim; Marcelo Fernando Rauber; Jean Carlo Hauck – International Journal of Artificial Intelligence in Education, 2024
Although Machine Learning (ML) is found practically everywhere, few understand the technology behind it. This presents new challenges to extend computing education by including ML concepts in order to help students to understand its potential and limits and empowering them to become creators of intelligent solutions. Therefore, we developed an…
Descriptors: Artificial Intelligence, Information Technology, Technology Uses in Education, Computer Software
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Daniel W. J. Anson – Higher Education Research and Development, 2024
Large Language Models have already begun to affect the higher education landscape. However, there is currently a lack of work investigating how these models interface -- and possibly interfere -- with literacy development. Considering literacy is critical because student learning is only made possible through language. This paper considers…
Descriptors: Academic Language, Computational Linguistics, Guidelines, Risk
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Ghizlane Moukhliss; Khalid Lahyani; Ghizlane Diab – Journal of Education and Learning (EduLearn), 2024
Artificial intelligence (AI) has revolutionized various fields, including research and higher education. Thanks to its innovative applications, it has changed traditional teaching methods. This article aims to explore the impact of AI on these domains in Moroccan universities, focusing on its transformative influence, benefits, challenges, and…
Descriptors: Artificial Intelligence, Foreign Countries, Higher Education, Technology Uses in Education
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Tommy Hastomo; Berlinda Mandasari; Utami Widiati – Journal of Education and Learning (EduLearn), 2024
Educators have widely adopted artificial intelligence (AI) as a product of technology to prepare teaching materials and enhance their understanding of technology integration in language teaching. As prospective teachers who may teach digital native students later, pre-service teachers must be more capable and knowledgeable in technologically-based…
Descriptors: Preservice Teachers, Technological Literacy, Artificial Intelligence, English (Second Language)
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Adedunni Omowunmi Adegun; Talatu Ibrahim Umar – Pakistan Journal of Distance and Online Learning, 2024
The study investigated the predictive effect of Emotional intelligence (EI), ICT competence, Financial Stability and Gender on academic performance of distance learners. Descriptive survey design was employed for this study. Purposive stratified sampling technique was used to select 350 participants among third year to sixth year learners. Three…
Descriptors: Foreign Countries, Distance Education, Grade Point Average, Emotional Intelligence
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Emily Kan; Jordan Beardslee; Paul J. Frick; Laurence Steinberg; Elizabeth Cauffman – Applied Developmental Science, 2024
This study examined whether the extent to which youth experience consequences resulting from substance use was related to their impulse control. Longitudinal data are from 1,216 justice-system-involved male adolescents from the Crossroads Study (46% Latino, 37% Black, 15% White, and 2% self-identified other race). Results indicate that youth lower…
Descriptors: Self Control, Juvenile Justice, Males, Adolescents
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Rim Gouia-Zarrad; Cindy Gunn – International Electronic Journal of Mathematics Education, 2024
This research paper explores the integration of ChatGPT as a tool for interactive learning of numerical methods in a differential equations (DEs) course. DE course is crucial for engineering students to model real-world phenomena. However, many DE courses focus only on analytical solutions and neglect important numerical solutions. To overcome…
Descriptors: Learning Experience, Teaching Methods, Artificial Intelligence, Computer Software
Darryl Powell – ProQuest LLC, 2024
This study explores elementary school teachers' perceptions of emotional intelligence (EI) influence on the academic development of African American elementary students within a charter school in North Carolina. Persistent academic disparities faced by Black students, exacerbated by systemic educational inequalities and socio-cultural challenges,…
Descriptors: Elementary School Teachers, Teacher Attitudes, Emotional Intelligence, Social Influences
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