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David A. Sousa – Corwin, 2024
In a world where technology is increasingly dominant, it is critical to understand how it affects students' brains and behavior--for better and for worse. This new edition from bestselling educational neuroscience author David Sousa offers research-based, practical solutions and serves as a framework for educators who want to effectively leverage…
Descriptors: Brain, Neurosciences, Educational Technology, Cognitive Processes
Jiali Zhang; Xian Wang; Shoukuan Mu – School Psychology International, 2024
Alexithymia has an important effect on learning burnout; however, the underlying mechanism of this relation remains unclear. This study aims to examine why alexithymia is related to increased learning burnout. Here, we investigated associations between alexithymia and learning burnout, as well as the potential mediating role of self-compassion in…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Altruism
Jean Quigley; Elizabeth Nixon – First Language, 2024
Children's speech is influenced by the speech they hear, in particular by the parental speech addressed directly to them. The aim of this study was to analyse toddlers' speech with their parents and to investigate the influence of specific characteristics of child-directed speech on child speech in real time during mother-child and father-child…
Descriptors: Foreign Countries, Toddlers, Adults, Intelligence Tests
Santosh Mahapatra – Smart Learning Environments, 2024
This paper presents a study on the impact of ChatGPT as a formative feedback tool on the writing skills of undergraduate ESL students. Since artificial intelligence-driven automated writing evaluation tools positively impact students' writing, ChatGPT, a generative artificial intelligence-propelled tool, can be expected to have a more substantial…
Descriptors: Artificial Intelligence, English (Second Language), Writing Skills, Academic Language
Rena Helms-Park; Maria Claudia Petrescu; Mihaela Pirvulescu; Vedran Dronjic – International Journal of Multilingualism, 2024
This study examines the narrative production of 12 trilingual children aged 8;7-11;10 in three languages: heritage Romanian as a first language, mainstream English as a second, and school French as a third. Narrative macrostructure was analyzed via the Narrative Structure Scheme, while microstructure was assessed via story length, lexical…
Descriptors: Foreign Countries, Children, Preadolescents, Multilingualism
Mongkolchai Tiansoodeenon; Pragasit Sitthitikul – LEARN Journal: Language Education and Acquisition Research Network, 2024
Learner diversity has been identified as a barrier to language learning and teaching. The purpose of this article was to conduct an analysis of the implementation of Multiple Intelligences (MI) theory in the field of English language teaching. MI theory, as introduced by Howard Gardner (1983), offers a new concept of intelligence, one that has led…
Descriptors: Multiple Intelligences, Teaching Methods, English (Second Language), Second Language Learning
Nataliya Hristova Pavlova – International Electronic Journal of Mathematics Education, 2024
This article presents a case study and ideas to flip classical dialogic learning method. Some possibilities of using ChatGPT to stimulate the active role of the student in the dialogic teaching method are shown. Data from observations of students training to be teachers of mathematics and informatics in their work with artificial intelligence (AI)…
Descriptors: Teaching Methods, Mathematics Instruction, Artificial Intelligence, Case Studies
Yasar C. Kakdas; Sinan Kockara; Tansel Halic; Doga Demirel – IEEE Transactions on Learning Technologies, 2024
This article presents a 3-D medical simulation that employs reinforcement learning (RL) and interactive RL (IRL) to teach and assess the procedure of donning and doffing personal protective equipment (PPE). The simulation is motivated by the need for effective, safe, and remote training techniques in medicine, particularly in light of the COVID-19…
Descriptors: Medical Education, Error Patterns, Error Correction, Reinforcement
Chang Liu; Charles Downing – Journal of Information Systems Education, 2024
This teaching tip describes using Microsoft Power BI Desktop in a class to analyze unstructured data from an exit survey of prior students from a Master of Science in Management Information Systems program. Results from a short survey administered to these students showed that the students, using the no-code Power BI, were able to accomplish their…
Descriptors: Graduate Students, Program Effectiveness, Information Science, Management Information Systems
Noura Zeroual; Mahnane Lamia; Mohamed Hafidi – Education and Information Technologies, 2024
Traditional education systems do not provide students with much freedom to choose the right training of study that suits them, which leads on long-term to the negative effects not only on social, economic and mental' well-being of student, but also will have a negative effect on the quality of the work produced by this student in the future. In…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Computer Science Education
Debby R. E. Cotton; Peter A. Cotton; J. Reuben Shipway – Innovations in Education and Teaching International, 2024
The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of…
Descriptors: Integrity, Cheating, Artificial Intelligence, Man Machine Systems
Junhong Xiao – Open Praxis, 2024
Leveraging technology to break the iron triangle of access, cost, and quality is a legacy of open universities (OUs), becoming a source of inspiration for higher education in general. Today, OUs face increasing competition from conventional universities, no longer enjoying the first-mover advantages as they did in the earlier years. Can artificial…
Descriptors: Open Universities, Artificial Intelligence, Technology Uses in Education, Affordances
Mehmet Karakus; Mustafa Toprak; Omer Caliskan; Megan Crawford – International Journal of Educational Management, 2024
Purpose: This study aims to examine the role of teachers' emotional intelligence (EI) and emotional labour (EL) strategies in their affective and physical well-being. Design/methodology/approach: The quantitative data were collected from 436 primary school teachers. Likert-type scales were used to measure the variables. Confirmatory factor…
Descriptors: Foreign Countries, Emotional Intelligence, Elementary School Teachers, Well Being
Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
Qi Zhou; Wannapon Suraworachet; Mutlu Cukurova – Education and Information Technologies, 2024
Collaboration is argued to be an important skill, not only in schools and higher education contexts but also in the workspace and other aspects of life. However, simply asking students to work together as a group on a task does not guarantee success in collaboration. Effective collaborative learning requires meaningful interactions among…
Descriptors: Learning Analytics, Cooperative Learning, Nonverbal Communication, Speech Communication

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