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Breit, Moritz; Brunner, Martin; Preckel, Franzis – Developmental Psychology, 2020
Differentiation of intelligence refers to changes in the structure of intelligence that depend on individuals' level of general cognitive ability (ability differentiation hypothesis) or age (developmental differentiation hypothesis). The present article aimed to investigate ability differentiation, developmental differentiation, and their…
Descriptors: Intelligence, Cognitive Ability, Adolescents, Age Differences
Casal-Otero, Lorena; Catala, Alejandro; Fernández-Morante, Carmen; Taboada, Maria; Cebreiro, Beatriz; Barro, Senén – International Journal of STEM Education, 2023
The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a society where they must interact with AI. Thus, AI literacy is a pedagogical and cognitive challenge at the K-12…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Integrated Curriculum
Buijsman, Riley; Begeer, Sander; Scheeren, Anke M. – Autism: The International Journal of Research and Practice, 2023
The language used to refer to autism has been a topic of ongoing debate. Research in English-speaking countries indicated an overall preference for identity-first language ('autistic person') among autistic adults rather than person-first language ('person with autism'). We examined terminology preference in Dutch autistic adults (n = 1026; 16-84…
Descriptors: Autism Spectrum Disorders, Foreign Countries, Adults, Parents
Saini, Munish; Arora, Vaibhav; Singh, Madanjit; Singh, Jaswinder; Adebayo, Sulaimon Oyeniyi – Education and Information Technologies, 2023
With the advent of technology and digitization, the use of Information and Communication Technology (ICT) and its tools for the imperative dissemination of information to learners are gaining more ground. During the process of the conveyance of lectures, it is mostly observed that students (learners) are supposed to take notes (minutes) of the…
Descriptors: Artificial Intelligence, Multilingualism, Information Technology, Guidelines
Guleria, Pratiyush; Sood, Manu – Education and Information Technologies, 2023
Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine Learning (ML), Explainable AI (XAI)…
Descriptors: Artificial Intelligence, Career Counseling, Data Analysis, Employment Potential
Ariely, Moriah; Nazaretsky, Tanya; Alexandron, Giora – International Journal of Artificial Intelligence in Education, 2023
Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…
Descriptors: Artificial Intelligence, Algorithms, Natural Language Processing, Hebrew
Kim, Jung Hoon; Kwon, Jongkyum; Ryoo, Ji Hoon – Psychology in the Schools, 2023
Mindset is a key factor affecting personality and learning for adolescents, especially those living in countries focusing heavily on human resources, such as Korea, Singapore, and Hong Kong. We examined associations of fixed intelligence mindset, fixed creative mindset, students' gender and school type via a structural equation modeling. The…
Descriptors: Foreign Countries, High School Students, Academically Gifted, Vocational High Schools
Herring, Catherine – Ethics and Education, 2023
This paper explores the concept of potential through a Deleuzean lens and argues that what is commonly understood as potential is often confused with possibility. It moves through four parts: an introduction exploring the language and context in which potential is ordinarily used in order to uncover underlying presuppositions; the next section…
Descriptors: Creative Activities, Educational Change, Educational Practices, Information Technology
Beege, Maik; Schneider, Sascha – Educational Technology Research and Development, 2023
Pedagogical agents were found to enhance learning but studies on the emotional effects of such agents are still missing. While first results show that pedagogical agents with an emotionally positive design might especially foster learning, these findings might depend on the gender of the agent and the learner. This study investigated whether…
Descriptors: Psychological Patterns, Design, Emotional Response, Educational Technology
Salehzadeh, Roya; Rivera, Brian; Man, Kaiwen; Jalili, Nader; Soylu, Firat – Journal of Numerical Cognition, 2023
In this study, we used multivariate decoding methods to study processing differences between canonical (montring and count) and noncanonical finger numeral configurations (FNCs). While previous research investigated these processing differences using behavioral and event-related potentials (ERP) methods, conventional univariate ERP analyses focus…
Descriptors: Cognitive Processes, Human Body, Artificial Intelligence, Mathematics Skills
Ottenbreit-Leftwich, Anne; Glazewski, Krista; Jeon, Minji; Jantaraweragul, Katie; Hmelo-Silver, Cindy E.; Scribner, Adam; Lee, Seung; Mott, Bradford; Lester, James – International Journal of Artificial Intelligence in Education, 2023
With accelerating advances in artificial intelligence, it is clear that introducing K-12 students to AI is essential for preparation to interact with and potentially develop AI technologies. To succeed as the workers, creators, and innovators of the future, we argue students should encounter core concepts of AI as early as elementary school.…
Descriptors: Elementary School Students, Grade 4, Grade 5, Artificial Intelligence
Songer, Robert Wesley; Yamamoto, Tomohito – Educational Research and Reviews, 2023
Recommender systems in education aim to help students make good decisions about the direction of their learning. The design of such systems in conventional research has treated the decision making process of students as a black box and assumes the best recommendations to be those that accurately predict student choices. Such an approach overlooks…
Descriptors: Artificial Intelligence, Decision Making, Decision Support Systems, Engineering Education
Maimone, Luciane; Jolley, Jason – Foreign Language Annals, 2023
This article reports the results of an empirical study designed to determine the degree to which college instructors of Spanish can distinguish between machine translation (MT) and non-MT writing samples produced by second language (L2) learners of Spanish in an intermediate-level writing course. We also investigated relationships between…
Descriptors: College Faculty, Language Teachers, Spanish, Identification
Kaya, Didem Gülçin; Gülünay, Yasar Ismail; Çavdar, Emre; Seymen, Emre – Shanlax International Journal of Education, 2023
The aim of the research is to investigate the effect of intrapersonal intelligence profiles of students studying at Faculty of Sport Sciences on their metacognitive awareness levels. General screening and relational screening models were used. The research group consisted of 308 students studying at Afyon Kocatepe University Faculty of Sport…
Descriptors: Interpersonal Competence, Metacognition, College Students, Athletics
Torres, José Saavedra; Heath, C. Edward – Marketing Education Review, 2023
This article investigates the usage of an AI bot app called RNMKRS PitchPerfector to teach the sales skills necessary to deliver a successful elevator pitch. In particular, we wanted to know if the use of this app could increase student self-efficacy toward this critical selling skill. To analyze if RNMKRS had a real impact on students' elevator…
Descriptors: Artificial Intelligence, Self Efficacy, Public Speaking, Speech Skills

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