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Direct linkKlimova, Blanka; Pikhart, Marcel; Benites, Alice Delorme; Lehr, Caroline; Sanchez-Stockhammer, Christina – Education and Information Technologies, 2023
Nowadays, hardly anyone working in the field of foreign language teaching and learning can imagine life without machine translation (MT) tools. Thanks to the rapid development of artificial intelligence, MT now most widely assumes a new form, the so-called Neural Machine Translation (NMT), which offers the potential for a wide application in…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
Li, Xiao; Xu, Hanchen; Zhang, Jinming; Chang, Hua-hua – Journal of Educational and Behavioral Statistics, 2023
The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…
Descriptors: Learning Processes, Models, Algorithms, Individualized Instruction
Hartcher, Karen; Chapman, S.; Morrison, C. – Cambridge Journal of Education, 2023
Teacher wellbeing is important, not least for the role teachers play in supporting students' social, emotional, physical and academic wellbeing. Effective teachers need to remain both physically and mentally healthy. This paper examines how teacher wellbeing is conceptualised through research to identify the influential ecological influences that…
Descriptors: Ecological Factors, Teachers, Well Being, Self Efficacy
Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
Huang, Wanju – TechTrends: Linking Research and Practice to Improve Learning, 2023
A design case is a form of scholarly writing in which the author embarks on a reflective journey sharing rich descriptions of their design, design processes, challenges, etc. This paper presents two design cases that demonstrate how learning theories and instructional design concepts were purposefully incorporated in two instructional applications…
Descriptors: Learning Processes, Instructional Design, Learning Theories, Artificial Intelligence
Nutrient Intake and Adequacy in Children with Autism Spectrum Disorder: EPINED Epidemiological Study
Arija, Victoria; Esteban-Figuerola, Patricia; Morales-Hidalgo, Paula; Jardí, Cristina; Canals-Sans, Josefa – Autism: The International Journal of Research and Practice, 2023
This article assesses nutritional intake and adequacy in children with autism spectrum disorder (ASD), subdiagnostic autistic symptoms and children with typical development (TD). In total, 77 children diagnosed with ASD, 40 with subdiagnostic autistic symptoms and 333 children with TD were assessed. A validated food frequency questionnaire was…
Descriptors: Autism Spectrum Disorders, Control Groups, Food, Nutrition
Islam, Robiul; Das, Happy Kumar; Islam, Monjurul – Journal on English Language Teaching, 2023
This study examined the soft skills for employability among English graduates in Bangladesh. It identified twelve fundamental soft skills, Communication, Interpersonal Skills, Self-Management, People Management, Collaboration, Emotional Intelligence, Time Management, Problem-Solving, Decision-Making, Critical Thinking, Leadership, Creativity, and…
Descriptors: Foreign Countries, English (Second Language), English Language Learners, Employment Potential
Clark, Grace T.; Reuterskiöld, Christina – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Previous research has demonstrated that typically developing children, verbal children with a diagnosis of autism, children with Down syndrome, children with developmental language disorder, and children with dyslexia can all benefit from orthographic support during word learning tasks. This study sought to determine if minimally speaking…
Descriptors: Language Skills, Measures (Individuals), Autism Spectrum Disorders, Verbal Ability
Larsson, Johanna; Danielsson, Anna T. – Physical Review Physics Education Research, 2023
Underrepresentation of women in physics is a prominent issue in the western countries. Since physics teachers are in a unique position to affect new generations of students, it has been suggested that they are an important part of the solution. In this paper, we explore how trainee physics teachers create spaces for themselves as learners of…
Descriptors: Physics, Females, Science Education, Gender Differences
Touretzky, David; Gardner-McCune, Christina; Seehorn, Deborah – International Journal of Artificial Intelligence in Education, 2023
This article provides an in-depth look at how K-12 students should be introduced to Machine Learning and the knowledge and skills they will develop as a result. We begin with an overview of the AI4K12 Initiative, which is developing national guidelines for teaching AI in K-12, and briefly discuss each of the "Five Big Ideas in AI" that…
Descriptors: Electronic Learning, Artificial Intelligence, Elementary School Students, Secondary School Students
Rodríguez, Patricio; Villanueva, Alexis; Dombrovskaia, Lioubov; Valenzuela, Juan Pablo – Education and Information Technologies, 2023
School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due to COVID-19 pandemic, in this paper we propose a…
Descriptors: Foreign Countries, Schools, Dropout Prevention, Methods
Download full textBozkurt, Aras; Xiao, Junhong; Lambert, Sarah; Pazurek, Angelica; Crompton, Helen; Koseoglu, Suzan; Farrow, Robert; Bond, Melissa; Nerantzi, Chrissi; Honeychurch, Sarah; Bali, Maha; Dron, Jon; Mir, Kamran; Stewart, Bonnie; Costello, Eamon; Mason, Jon; Stracke, Christian M.; Romero-Hall, Enilda; Koutropoulos, Apostolos; Toquero, Cathy Mae; Singh, Lenandlar; Tlili, Ahmed; Lee, Kyungmee; Nichols, Mark; Ossiannilsson, Ebba; Brown, Mark; Irvine, Valerie; Raffaghelli, Juliana Elisa; Santos-Hermosa, Gema; Farrell, Orna; Adam, Taskeen; Thong, Ying Li; Sani-Bozkurt, Sunagul; Sharma, Ramesh C.; Hrastinski, Stefan; Jandric, Petar – Asian Journal of Distance Education, 2023
While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are…
Descriptors: Artificial Intelligence, Technology Uses in Education, Affordances, Teacher Role
Schulz, Daniel; Richter, Tobias; Schindler, Julia; Lenhard, Wolfgang; Mangold, Madlen – Journal of Cognition and Development, 2023
Inhibitory control is a core executive function that develops during childhood and is measured with tasks that require the inhibition of a dominant response. The current study examined the diagnostic value of using response accuracy and latency in a simple inhibitory control test, the computerized Pointing-Stroop Task (cPST), for kindergarten…
Descriptors: Kindergarten, Item Response Theory, Reaction Time, Inhibition
Yu, Eunjyu – Journal of Educators Online, 2023
Artificial intelligence (AI) is increasingly being used as a cost-effective assistant to human instructors to generate performance feedback for online learners. This study found that AI-generated feedback had a positive impact on students' writing practice in an online learning space. Underperforming students stated that they wanted AI to further…
Descriptors: Artificial Intelligence, Feedback (Response), Electronic Learning, Cognitive Style
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
