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Li, Danfeng; Shi, Jiannong – High Ability Studies, 2021
This study examined the effects of fluid intelligence and trait emotional intelligence (trait EI) on academic performance in primary school-aged intellectually gifted and average children (8-11 years of age). One hundred and four average children and eighty gifted children were administered a Raven's Standard Progressive Matrices and a Trait…
Descriptors: Gifted, Prediction, Academic Achievement, Mathematics Achievement
Gold, Jozie – ProQuest LLC, 2023
In this study, associations among emotional intelligence, background variables, and academic performance in prelicensure nursing students enrolled in associate and baccalaureate degree nursing programs are explored. A gap in the literature exists regarding the specific background variables utilized in this study and the population. This study used…
Descriptors: Comparative Analysis, Emotional Intelligence, Predictor Variables, Student Characteristics
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Jiahe Gu; Zi Yan – Journal of Educational Computing Research, 2025
Generative artificial intelligence (GenAI) has the potential to change student learning. Despite the popularity of integrating this novel technology into teaching and learning practices, few meta-analyses have synthesised its effect in the education context with K-12 and college students. This review examined the effects of GenAI interventions on…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Academic Achievement
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Kwang Surk Jung – High Ability Studies, 2024
The purpose of this study is to analyze the relations between social competence and mental well-being through perceptions of giftedness in gifted and general students. Data are collected from 359 gifted and general South Korean students (M[subscript age] = 13.54) and analyzed by structural equation modeling. The results reveal that, first, gifted…
Descriptors: Well Being, Gifted, Gifted Education, Academic Achievement
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Pieter Vanneste; Kim Dekeyser; Luis Alberto Pinos Ullauri; Dries Debeer; Frederik Cornillie; Fien Depaepe; Annelies Raes; Wim Van den Noortgate; Sameh Said-Metwaly – Journal of Computer Assisted Learning, 2024
Background: Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it is unclear how instructional support affects performance in AR. Objectives: This study sought to explore how varying the instructional support in AR can affect performance-related behaviours of…
Descriptors: Computer Simulation, Artificial Intelligence, Cognitive Ability, Student Behavior
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Zhaoyang Liu; Wenlan Zhang; Liangliang Hu – Innovations in Education and Teaching International, 2025
Virtual Reality (VR) is gradually integrating into classroom teaching, emerging as a new trend in educational development in the era of artificial intelligence. Desktop virtual reality stands out due to its lower cost and greater convenience. To elucidate the effectiveness of desktop virtual reality in learning, this paper employs a meta-analysis…
Descriptors: Computer Simulation, Meta Analysis, Teaching Methods, Instructional Effectiveness
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Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling
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Li, Yaoran; Sheldon, Kennon M.; Rouder, Jeffrey N.; Bergin, David A.; Geary, David C. – Journal of Psychoeducational Assessment, 2019
Self-referent performance beliefs can influence people's decision making related to long-term goals. Current measures of such beliefs, however, do not explicitly focus on the long-term aspects of goal achievement. We introduce a new concept, Long-Term Prospects (LTP), which is defined as the self-perception that one can maintain the continuous…
Descriptors: College Students, Academic Achievement, Student Attitudes, Beliefs
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Lavrijsen, Jeroen; Vansteenkiste, Maarten; Boncquet, Michiel; Verschueren, Karine – Journal of Educational Psychology, 2022
While bivariate associations between motivation and academic achievement have been soundly established, only a few studies have documented evidence for its incremental predictive role above and beyond other student features related to student achievement, such as intelligence and personality. Moreover, it is not yet clear which motivational…
Descriptors: Academic Achievement, Intelligence, Independent Study, Correlation
Deupa, Madan Singh; Pathani, Rajendra Singh – Online Submission, 2018
(Purpose) The purpose of this study was to compare the academic achievement and intelligence level of Secondary School students of science, management, and education streams to identify the enrollment trend of students in teacher education in Nepal. (Methods) In this study, 150 secondary school students belonging to eight schools were selected…
Descriptors: Foreign Countries, Academic Achievement, Intelligence, Secondary School Students
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Joep Hofhuis; Joran Jongerling; Jeroen Jansz – Higher Education: The International Journal of Higher Education Research, 2024
Enhancing students' intercultural competences through international higher education requires a thorough understanding of the way in which these competences develop over time, how they relate to outcomes, and which factors predict their growth. To answer these questions, a three-wave longitudinal study was conducted among a sample of first-year…
Descriptors: International Education, Cultural Background, Grade Point Average, Foreign Students
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Ching-Yi Chang; Patcharin Panjaburee; Shao-Chen Chang – Interactive Learning Environments, 2024
Educators have recognized the importance of providing a realistic learning environment which helps learners to not only comprehend learning content, but also to link the content to practical problems. Such an environment can hence foster problem-solving skills in nursing training. However, when learners interact in a virtual environment with rich…
Descriptors: Artificial Intelligence, Context Effect, Nursing Education, Technology Integration
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Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
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XIA, Qi; Chiu, Thomas K. F. – AERA Online Paper Repository, 2023
Artificial intelligence (AI) education is still in the exploratory stage for K-12 schools. There is a serious lack of studies that informed schools teachers about AI curriculum design. Accordingly, this paper presented an AI curriculum and examined whether the curriculum improves students' perceived AI knowledge, attitudes, and motivation towards…
Descriptors: Artificial Intelligence, Learning Motivation, Teaching Methods, Academic Achievement
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Fidan, Mustafa; Gencel, Nurgun – Journal of Educational Computing Research, 2022
This study investigated the effects of artificial intelligence (AI)-based chatbot and peer feedback mechanisms integrated into the instructional videos (IVs) as a feedback tool on learning performance and intrinsic motivation of pre-service teachers (PTs) in online learning. The participants were 144 PTs from a university in Turkey. A…
Descriptors: Academic Achievement, Learning Motivation, Video Technology, Comparative Analysis
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