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Junfeng Man; Rongke Zeng; Xiangyang He; Hua Jiang – Knowledge Management & E-Learning, 2024
At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…
Descriptors: Cognitive Ability, Student Evaluation, Algorithms, Learning Processes
Sternberg, Robert J. – Journal of Intelligence, 2021
This article explores the advantages of viewing intelligence not as a fixed trait residing within an individual, but rather as a person × task × situation interaction. The emphasis in the article is on the role of persons solving tasks embedded in situations involving learning, intellectual abilities, and competencies. The article opens with a…
Descriptors: Intelligence, Personality Traits, Problem Solving, Learning Processes
Sfetcu, Nicolae – Online Submission, 2023
The emotional intelligence models have helped to develop different tools for construct assessment. Each theoretical paradigm conceptualizes emotional intelligence from one of two perspectives: ability or mixed model. Ability models consider emotional intelligence as a pure form of mental ability and therefore as pure intelligence. Mixed models of…
Descriptors: Models, Emotional Intelligence, Cognitive Ability, Cognitive Processes
Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Montuori, Luke M.; Montefiori, Lara – Journal of Intelligence, 2022
For decades, the field of workplace selection has been dominated by evidence that cognitive ability is the most important factor in predicting performance. Meta-analyses detailing the contributions of a wide-range of factors to workplace performance show that cognitive ability's contribution is partly mediated by the learning of task-relevant…
Descriptors: Learning Processes, Cognitive Ability, Job Performance, Psychometrics
Li, Yuheng; Rakovic, Mladen; Poh, Boon Xin; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2022
Learning objectives, especially those well defined by applying Bloom's taxonomy for Cognitive Objectives, have been widely recognized as important in various teaching and learning practices. However, many educators have difficulties developing learning objectives appropriate to the levels in Bloom's taxonomy, as they need to consider the…
Descriptors: Educational Objectives, Taxonomy, Universities, Cognitive Ability
Boby Ho-Hong Ching; Xiang Yu Li; Tiffany Ting Chen – British Journal of Educational Psychology, 2024
Background: Recent research showed that cross-notation magnitude knowledge of fractions and decimals was related to better performance in fraction arithmetic, but it remains unclear whether it made an independent contribution to fraction arithmetic longitudinally when other cognitive variables are considered. Aims: To examine the extent to which…
Descriptors: Number Concepts, Fractions, Arithmetic, Young Children
Hyland, William E.; Hoff, Kevin A.; Rounds, James – Journal of Intelligence, 2022
Cognitive abilities and interests both play an important role in guiding knowledge acquisition, but most previous studies have examined them separately. The current study used a large and representative dataset to integrate interests and abilities using a person-centered approach that examines how distinct profiles of interests and abilities…
Descriptors: Vocational Interests, Cognitive Ability, Learning Processes, Profiles
Cloe Zeidan – ProQuest LLC, 2024
The present dissertation reports two experiments that examine implicit and explicit language learning methods and their impacts on early vocabulary, grammar, and phonological acquisition, in addition to working memory, proactive/reactive control, and fluid intelligence, as well as learner motivation. Experiment 1 investigated adult L2 acquisition…
Descriptors: Learning Processes, Second Language Learning, Cognitive Ability, Teaching Methods
Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
On Enhancing Students' Cognitive Abilities in Online Learning Using Brain Activity and Eye Movements
Jamil, Nuraini; Belkacem, Abdelkader Nasreddine; Lakas, Abderrahmane – Education and Information Technologies, 2023
The COVID-19 pandemic has interrupted education institutions in over 150 nations, affecting billions of students. Many governments have forced a transition in higher education from in-person to remote learning. After this abrupt, worldwide transition away from the classroom, some question whether online education will continue to grow in…
Descriptors: Cognitive Ability, Video Technology, Eye Movements, COVID-19
Tam Duc Dinh – International Journal of Information and Learning Technology, 2024
Purpose: The advent of ChatGPT has fundamentally changed the way people approach and access information. While we are encouraged to embrace the tool for its various benefits, it is yet to be known how to drive people to adopt this technology, especially to improve their life skills. Using implicit self-theories, the current research delineated the…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Technology Integration
Bohorquez, Carlos; Marquet, Pascal – International Association for Development of the Information Society, 2019
This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…
Descriptors: Instructional Design, Programming, Conflict, Teaching Methods
Berrios Aguayo, Beatriz; Arazola Ruano, Cristina; Pantoja Vallejo, Antonio – South African Journal of Education, 2021
Development and dissemination of innovative pedagogies continues to be one of the challenges of the 21st century. The visible deficiencies in the educational field have highlighted the need for other types of pedagogies that promote complete student development. Gardner's theory about multiple intelligences (MIs) has great potential that has not…
Descriptors: Teaching Methods, Multiple Intelligences, Learning Theories, Correlation
Smith, Derek; Zheng, Robert; Metz, Aj; Morrow, Sue; Pompa, Janience; Hill, Justin; Rupper, Rand – Educational Gerontology, 2019
Enhancing the cognitive functionality of digital technology can be critical in learning complex topics like caregiving for older adults. This study examines the deployment of cognitive prompts in video-based training to optimize older adults' cognitive information process in both deep and surface learning. The path analysis revealed the…
Descriptors: Older Adults, Cognitive Ability, Cognitive Processes, Prompting

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