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Berzenski, Sara R.; Yates, Tuppett M. – Developmental Psychology, 2017
The ability to recognize and label emotions serves as a building block by which children make sense of the world and learn how to interact with social partners. However, the timing and salience of influences on emotion recognition development are not fully understood. Path analyses evaluated the contributions of parenting and child narrative…
Descriptors: Child Rearing, Cognitive Ability, Emotional Development, Emotional Response
Veronika Timpe-Laughlin; Tetyana Sydorenko; Judit Dombi – Computer Assisted Language Learning, 2024
To examine the utility of spoken dialog systems (SDSs) for learning and low-stakes assessment, we administered the same role-play task in two different modalities to a group of 47 tertiary-level learners of English. Each participant completed the task in an SDS setting with a fully automated agent and engaged in the same task with a human…
Descriptors: Second Language Learning, In Person Learning, Standard Spoken Usage, Role Playing
Irena Budínová – Open Education Studies, 2024
The article discusses the risks involved in identifying gifted students in mathematics in the school environment. Although the theory of gifted students is widespread and available today, school practice shows many cases of gifted students who have not been identified in the school environment. The reasons for this are various. The article will…
Descriptors: Risk, Gifted Education, Mathematics Education, Identification
Qianru Li; Kan Kan Chan – Education and Information Technologies, 2024
Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)).…
Descriptors: Student Attitudes, Test Wiseness, Computer Assisted Testing, Handheld Devices
Keunjae Kim; Kyungbin Kwon – Journal of Educational Computing Research, 2024
This study presents an inclusive K-12 AI curriculum for elementary schools, focusing on six design principles to address gender disparities. The curriculum, designed by the researchers and an elementary teacher, uses tangible tools, and emphasizes collaboration in solving daily problems. The MANOVA results revealed initial gender differences in AI…
Descriptors: Artificial Intelligence, Curriculum Development, Inclusion, Elementary Secondary Education
Peichin Chang; Pin-Ju Chen; Li-Ling Lai – Computer Assisted Language Learning, 2024
Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…
Descriptors: Editing, Computer Software, Artificial Intelligence, Translation
Ali Al Ghaithi; Behnam Behforouz – Journal of Educators Online, 2024
The current study attempted to measure the impact of using an interactive WhatsApp bot designed using Python language programming in grammar learning. To this end, sixty Omani pre-intermediate English proficiency learners were the sample population of this study to act as a control and experimental group, with an equal number of students in each…
Descriptors: Grammar, Programming Languages, English (Second Language), Second Language Learning
Zuzana Svobodová; Jaroslav Kríž; Jaroslav Veteška – Acta Educationis Generalis, 2024
Introduction: The integration of digital technologies and virtual co-teaching has become a common practice in education. This was accelerated by the COVID-19 pandemic. These innovations play a key role in addressing global challenges and are a response to digital advances to which primary and secondary schools need to adaptively respond. Methods:…
Descriptors: Team Teaching, Instructional Innovation, Teaching Methods, Electronic Learning
Ndudi O. Ezeamuzie; Jessica S. C. Leung; Dennis C. L. Fung; Mercy N. Ezeamuzie – Journal of Computer Assisted Learning, 2024
Background: Computational thinking is derived from arguments that the underlying practices in computer science augment problem-solving. Most studies investigated computational thinking development as a function of learners' factors, instructional strategies and learning environment. However, the influence of the wider community such as educational…
Descriptors: Educational Policy, Predictor Variables, Computation, Thinking Skills
Luzhen Tang; Kejie Shen; Huixiao Le; Yuan Shen; Shufang Tan; Yueying Zhao; Torsten Juelich; Xinyu Li; Dragan Gaševic; Yizhou Fan – Journal of Computer Assisted Learning, 2024
Background: Learners' writing skills are critical to their academic and professional development. Previous studies have shown that learners' self-assessment during writing is essential for assessing their writing products and monitoring their writing processes. However, conducting practical self-assessments of writing remains challenging for…
Descriptors: Self Evaluation (Individuals), Formative Evaluation, Writing Assignments, Writing Skills
Jo-Chi Hsiao; Jason S. Chang – Interactive Learning Environments, 2024
During the COVID-19 pandemic, global teachers gained extensive experiences with teaching online courses. To design quality online courses in the post-pandemic era, the impact of the latest technology, such as artificial intelligence (AI), must be considered. Investigating how teachers incorporate AI-powered tools and how students perceive learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, English (Second Language)
Afsheen Rezai; Ali Soyoof; Barry Lee Reynolds – European Journal of Education, 2024
Artificial Intelligence (AI)-driven chatbots, such as ChatGPT, have significantly impacted education, especially for English as a Foreign Language (EFL) learners. However, there is paucity of empirical evidence concerning the role of chatbots in psycho-emotional constructs like well-being and emotion regulation. It is important to address this…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, English (Second Language)
Sreenivasulu Reddy Mogali; Olivia Ng; Jia Xin Tan; Thu Htet San; Kian Bee Ng – Anatomical Sciences Education, 2024
The COVID-19 pandemic revealed the pivotal role of digital learning and online lecture videos, leading a shift toward blended and flipped classrooms in the post-pandemic era. This shift calls for development and (or) refreshment of novel online educational resources, such as Voice-Over PowerPoint (VOPPT) presentations, specifically designed for…
Descriptors: Undergraduate Students, Medical Students, Medical Education, Anatomy
Tina Beynen – Brock Education: A Journal of Educational Research and Practice, 2024
Academic integrity concerns related to students' use of technology have renewed calls for teaching, assessment, and learning best practices, including those that involve and empower students. Empowerment is a benefit of developing students' assessment literacies, or how students contextually understand, plan, and undertake assessment and use…
Descriptors: Student Evaluation, Multiple Literacies, Artificial Intelligence, Technology Uses in Education
Zahra Neshatian; Mohammad Saber Khaghaninejad – Language Teaching Research Quarterly, 2024
This study scrutinized the effects of words' superiority, regularity, frequency and length on the intermediate and advanced EFL learner's visual word recognition. Moreover, it attempted to check whether each of these parameters could be statistically a significant predictor on recognition tasks. Accordingly, 118 intermediate and 127 advanced adult…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Word Recognition

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