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Miao, Xin; Nadaf, Ali; Zhou, Zhuotong – International Review of Education, 2023
This article investigates the importance of global competence and its incorporation in interventions from Grade 5 to Grade 12 public education in the United Arab Emirates (UAE) to prepare learners for local and global challenges, such as sustainable development, technological innovation, climate change, etc. Using data from the Programme for…
Descriptors: Foreign Countries, Artificial Intelligence, Evidence, Global Approach
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Aparna Hebbani; Michael Mersiades; Ameya Deshmukh – Australian Review of Applied Linguistics, 2023
This exploratory Australian study tested a novel mobile-based language learning service intervention (via WhatsApp) called 'Chatloop' with 31 newly arrived migrants. This intervention was offered in tandem with the traditional Adult Migrant English Program (AMEP) classroom curriculum. A mixed methods approach was employed to trial the intervention…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
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Jeon, Jaeho – Computer Assisted Language Learning, 2023
This study investigated the effect of Chatbot-Assisted Dynamic Assessment (CA-DA) on vocabulary learning and provided insights into learner abilities drawn from its implementation. Through the use of mediating chatbots, this study implemented DA to multiple learners simultaneously and provided each learner with human-like interaction. The chatbots…
Descriptors: Elementary School Students, Vocabulary Development, Technology Uses in Education, Man Machine Systems
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Sandra Ayala – Educational Renaissance, 2023
The potential of ChatGPT is explored as an assistive technology tool within the framework of Universal Design for Learning (UDL) to provide targeted support for college students with disabilities. As colleges and universities strive to promote inclusive practices, the implementation of UDL principles has gained significance. ChatGPT's interactive…
Descriptors: Artificial Intelligence, Students with Disabilities, Academic Accommodations (Disabilities), Technology Uses in Education
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Becker, Michael; Baumert, Jürgen; Tetzner, Julia; Maaz, Kai; Köller, Olaf – Developmental Psychology, 2019
What drives socioeconomic success within a society? This study analyzes how late childhood intelligence, parental socioeconomic background, and gender relate to multiple dimensions of adult socioeconomic success (i.e., education, occupational status, and income). A particular focus is placed on education, which is considered as both an indicator…
Descriptors: Intelligence, Family Characteristics, Gender Differences, Income
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Navarro, Ester; Macnamara, Brooke N.; Glucksberg, Sam; Conway, Andrew R. A. – Discourse Processes: A Multidisciplinary Journal, 2020
The underlying cognitive mechanisms explaining why speakers sometimes make communication errors are not well understood. Some scholars have theorized that audience design engages automatic processes when a listener is present; others argue that it relies on effortful resources, even if a listener is present. We hypothesized that working memory is…
Descriptors: Cognitive Ability, Short Term Memory, Individual Differences, Error Patterns
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Kirkbir, Fatih – African Educational Research Journal, 2020
Emotional intelligence involves recognizing one's emotions and using them to make appropriate decisions in life. The purpose of this study is the influence of emotional intelligence education techniques on psychological well-being and aggression of athlete students at the Karadeniz University. The research type is quasi-experimental and it is plan…
Descriptors: Emotional Intelligence, Mental Health, Psychological Patterns, Well Being
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Sabzevari, Sajad; Ebadi, Saman – Journal on English Language Teaching, 2020
This study aimed at investigating children and young adult EFL learners of Iran Language Institute(ILI) and their course books in the light of Multiple Intelligence (MI) Theory. To achieve this aim, 240 EFL learners participated in this study. First, the students' intelligence profiles were identified by adapting and using Lazear's (1994)…
Descriptors: Multiple Intelligences, Children, Adolescents, English (Second Language)
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Perrotta, Carlo; Selwyn, Neil – Learning, Media and Technology, 2020
In Applied AI, or 'machine learning', methods such as neural networks are used to train computers to perform tasks without human intervention. In this article, we question the applicability of these methods to education. In particular, we consider a case of recent attempts from data scientists to add AI elements to a handful of online learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Teaching Methods, Online Courses
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Stange, Melissa – Inquiry, 2020
This paper will discuss why technical skills alone will not be enough for students to have successful careers in the digital age. Much of their success will hinge on critical soft skills, such as adaptability, inner strength, holistic thinking, and a collaborative spirit. Examples will be provided for inclusion with a computer science program, but…
Descriptors: Technological Literacy, 21st Century Skills, Computer Science Education, Adjustment (to Environment)
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Bichler, Sarah; Schwaighofer, Matthias; Stadler, Matthias; Bühner, Markus; Greiff, Samuel; Fischer, Frank – Journal of Educational Psychology, 2020
A previous study found that task shifting and fluid intelligence, but not working memory capacity (WMC) and prior knowledge, influenced the worked example effect (Schwaighofer, Bühner, & Fischer, 2016). To increase confidence in these findings, we report a preregistered extended replication study of Schwaighofer et al.'s investigation.…
Descriptors: Short Term Memory, Cognitive Processes, Intelligence, Executive Function
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Muñoz-Martínez, Yolanda; Monge-López, Carlos; Torrego Seijo, Juan Carlos – Improving Schools, 2020
This article presents the study of the perception of teachers and principals participating in a teacher training program about cooperative learning with the focus on the transformation of teaching practices for inclusive education. The aim is to analyze the effect of a teacher training program on teaching practices and school transformation. We…
Descriptors: Foreign Countries, Teacher Education, Teacher Education Programs, Cooperative Learning
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Salas-Pilco, Sdenka Zobeida – British Journal of Educational Technology, 2020
This qualitative study examines the use of artificial intelligence (AI) and robotics in learning designs from the perspective of learning sciences. The literature on the topic indicates that there is not enough research on including diverse learning outcomes in the designs for learning. Therefore, the purpose of this study was to understand how AI…
Descriptors: Artificial Intelligence, Robotics, Instructional Effectiveness, Outcomes of Education
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Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
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