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Showing 1 to 15 of 92 results Save | Export
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Kirikkanat, Berke – International Journal for Educational and Vocational Guidance, 2023
Having effective career planning attitudes is a significant psychological resource for dealing with occupational burdens, unanticipated conflicts, and ambivalences in business area. The major purpose of the study was to reveal whether Turkish undergraduates' career planning attitudes were shaped by their trait emotional intelligence, cognitive…
Descriptors: Foreign Countries, Predictor Variables, Undergraduate Students, Student Attitudes
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Seda Göktepe Körpeoglu; Sevda Göktepe Yildiz – International Journal of Science Education, 2024
Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…
Descriptors: Foreign Countries, Middle School Students, STEM Education, Student Attitudes
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Abraham E. Flanigan; Markeya S. Peteranetz; Duane F. Shell; Leen-Kiat Soh – ACM Transactions on Computing Education, 2023
Objectives: Although prior research has uncovered shifts in computer science (CS) students' implicit beliefs about the nature of their intelligence across time, little research has investigated the factors contributing to these changes. To address this gap, two studies were conducted in which the relationship between ineffective self-regulation of…
Descriptors: Computer Science Education, Self Concept, Intelligence, Self Management
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Muhammad Abbas; Farooq Ahmed Jam; Tariq Iqbal Khan – International Journal of Educational Technology in Higher Education, 2024
While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Çigdem Cantas; Cansu Soyer; Özgür Batur – Turkish Online Journal of Educational Technology - TOJET, 2024
This study aimed to investigate the impact of artificial intelligence (AI) anxiety on multi-dimensional 21st-century skills and lifelong learning among undergraduates. A quantitative method using a correlational research model was used to examine the relationships between AI anxiety, 21st-century skills, and lifelong learning levels, considering…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Anxiety
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Elizeth Mayrene Flores Hinostroza; Derling Jose Mendoza; Mercedes Navarro Cejas; Edinson Patricio Palacios Trujillo – International Electronic Journal of Mathematics Education, 2025
This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…
Descriptors: Science Instruction, Artificial Intelligence, Technology Integration, Technology Uses in Education
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Zheng, Lanqin; Niu, Jiayu; Zhong, Lu; Gyasi, Juliana Fosua – Interactive Learning Environments, 2023
Recently, artificial intelligence (AI) technologies have been widely used in the field of education, and artificial intelligence in education (AIEd) has gained increasing attention. However, no quantitative meta-analysis has been conducted on the overall effectiveness of AI on learning achievement and learning perception. To close this research…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Academic Achievement, Student Attitudes
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Jin, Hao-Yue; Cutumisu, Maria – Education and Information Technologies, 2023
Computational thinking (CT) skills of pre-service teachers have been explored extensively, but the effectiveness of CT training has yielded mixed results in previous studies. Thus, it is necessary to identify patterns in the relationships between predictors of CT and CT skills to further support CT development. This study developed an online CT…
Descriptors: Preservice Teachers, Computation, Thinking Skills, Predictor Variables
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An Jie Lye; Peng Yen Liew; Hidayah Mohd Fadzil; Chan Choong Foong – Journal of Chemical Education, 2023
Current engineering education should develop the noncognitive abilities of students. Psychological capital (PsyCap) is defined as an individual's strengths of self-efficacy, optimism, hope, and resiliency. PsyCap is an essential noncognitive ability that influences student mental health and academic performance, yet limited research has been done…
Descriptors: Emotional Intelligence, Student Characteristics, Chemical Engineering, Predictor Variables
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D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
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Artur Strzelecki – Interactive Learning Environments, 2024
ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Technology Uses in Education
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
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Liwei Hsu – European Journal of Education, 2025
As generative artificial intelligence (GenAI) increasingly penetrates language education, understanding learners' continued intention to use this technology becomes crucial. This study examines EFL learners' continuance intention to use GenAI for language learning through PLS-SEM and fsQCA methodologies. Participants were undergraduate EFL…
Descriptors: Second Language Learning, English (Second Language), Artificial Intelligence, Student Attitudes
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Dastgoshadeh, Adel; Javanmardi, Pejman – MEXTESOL Journal, 2021
Emotional intelligence (EI) as a recent notion in psychology has rightly found its way into studies related to foreign language learning (FLL). Appreciating its significance, the present study was conducted to test EI in relation to English as a foreign language (EFL) learners' willingness to communicate (WTC). To do so, 67 EFL learners filled out…
Descriptors: Emotional Intelligence, Predictor Variables, English (Second Language), Second Language Learning
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Taherkhani, Reza; Moradi, Reza – Foreign Language Annals, 2022
This nationwide mixed methods study investigated the relationships among self-regulation (S-R), emotional intelligence (EI), willingness to communicate (WTC), and reading comprehension ability of Persian foreign language (PFL) learners in Iran. Therefore, 141 non-Persian students, from 28 different countries studying at 12 universities across Iran…
Descriptors: Self Control, Emotional Intelligence, Interpersonal Communication, Reading Comprehension
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