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David James Woo; Deliang Wang; Kai Guo; Hengky Susanto – Education and Information Technologies, 2024
This mixed methods study explores EFL students' experiences and perceptions as they learn to write a composition with ChatGPT's support in a classroom instructional context. Students' perceptions are explored in terms of their motivation to learn about ChatGPT, cognitive load and satisfaction with the learning process. In a workshop format,…
Descriptors: Foreign Countries, Secondary School Students, Second Language Instruction, English (Second Language)
Frischkorn, Gidon T.; von Bastian, Claudia C. – Journal of Intelligence, 2021
Process-Overlap Theory (POT) suggests that measures of cognitive abilities sample from sets of independent cognitive processes. These cognitive processes can be separated into domain-general executive processes, sampled by the majority of cognitive ability measures, and domain-specific processes, sampled only by measures within a certain domain.…
Descriptors: Epistemology, Learning Theories, Executive Function, Cognitive Processes
Conway, Andrew R. A.; Kovacs, Kristof; Hao, Han; Rosales, Kevin P.; Snijder, Jean-Paul – Journal of Intelligence, 2021
Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence ("g"). According to POT, g does not reflect a general cognitive ability. Instead, "g" is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are…
Descriptors: Individual Differences, Attention, Intelligence, Executive Function
Ratcliff, Roger; McKoon, Gail – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Two experiments are presented that use tasks common in research in numerical cognition with young adults and older adults as subjects. In these tasks, one or two arrays of dots are displayed, and subjects decide whether there are more or fewer dots of one kind than another. Results show that older adults, relative to young adults, tend to rely…
Descriptors: Aging (Individuals), Older Adults, Numeracy, Accuracy
Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
Lu, Jijian; Tao, Yan; Xu, Jinghao; Stephens, Max – Interactive Learning Environments, 2023
This study is the extension of our previous visualizing study on the commognition processes in computer-supported one-to-one tutoring. With the help of the scale of commognitive responsibility score, we found that the main triggers of the commognition process shift are the positive transfer of knowledge and cognitive conflict. On the basis of…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Tutoring, Artificial Intelligence
Biesmans, K. E.; Aken, L.; Frunt, E. M. J.; Wingbermühle, P. A. M.; Egger, J. I. M. – Journal of Intellectual Disability Research, 2019
Background: Assessment of intelligence and executive function (EF) is common in complex neuropsychiatric practice. Although previous studies have shown that EF and intelligence are related, it is unknown whether these constructs relate to one another in a similar manner across different ability groups (mild intellectual disability, borderline…
Descriptors: Intelligence, Executive Function, Psychiatry, Correlation
Zhao Wanli; Tang Youjun; Ma Xiaomei – SAGE Open, 2025
Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…
Descriptors: Bibliometrics, Second Language Learning, Computer Science, Educational Research
Aoun, Joseph E.; Kosslyn, Stephen M. – Liberal Education, 2018
Technology is a catalyst that is reconfiguring every profession, from finance to medicine to media. Old verities about "useful" skills are disappearing into the cloud. Many students give the existential question "What do I want to be?" a simple response: "Employed." It is not obvious what skills that will require in a…
Descriptors: Artificial Intelligence, 21st Century Skills, Automation, Context Effect
Osterhaus, Christopher; Koerber, Susanne – Child Development, 2021
This 5-year longitudinal study investigated advanced theory-of-mind (AToM) development in 161 German 5- to 10-year-olds (89 females, 72 males). Core aspects of AToM developed nonlinearly, with children reaching a milestone at the age of 7 years, around when they attained the conceptual insight that mental states can be recursive. In late…
Descriptors: Theory of Mind, Social Cognition, Elementary School Students, Foreign Countries
Jalal, Ahmad; Mahmood, Maria – Education and Information Technologies, 2019
Rapid growth and recent developments in education sector and information technologies have promoted E-learning and collaborative sessions among the learning communities and business incubator centers. Traditional practices are being replaced with webinars (live online classes) E-Quizes (online testing) and video lectures for effective learning and…
Descriptors: Information Technology, Cognitive Processes, Student Behavior, Electronic Learning
Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
Billingsley, Berry; Nassaji, Mehdi – School Science Review, 2020
It is common to use anthropomorphic labels when talking about technology, for example describing some robots and phones as smart, thinking and talking. This article describes a workshop in which students considered ways that words such as 'hearing', 'smart' and 'intelligence' might change in meaning when they are used in the context of robotics…
Descriptors: Robotics, Cognitive Processes, Attribution Theory, Language Usage
Reed, Stephen K. – Oxford University Press, 2020
In "Cognitive Skills You Need for the 21st Century," Stephen Reed discusses a Future of Jobs report that contrasts trending and declining skills required by the workforce in the year 2022. Trending skills include analytical thinking and innovation, active learning strategies, creativity, reasoning, and complex problem solving. Part One…
Descriptors: Thinking Skills, 21st Century Skills, Labor Force Development, Creative Thinking
Chenchen Liu; Jierui Hou; Yun-Fang Tu; Youmei Wang; Gwo-Jen Hwang – Interactive Learning Environments, 2023
Automated writing feedback supported by artificial intelligence (AI) techniques has attracted the attention of English as Foreign Language (EFL) researchers. However, there is insufficient evidence and inconsistent conclusions on the actual impacts of AI on students' writing skills. In addition, in the field of EFL writing, there are few studies…
Descriptors: Artificial Intelligence, Reflection, English (Second Language), Writing Instruction

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