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Yanjun Liu; Feng Xiao – Journal of Psycholinguistic Research, 2024
Previous studies on L2 (i.e., second language) Chinese compound processing have focused on the relative efficiency of two routes: holistic processing versus combinatorial processing. However, it is still unclear whether Chinese compounds are processed with multilevel representations among L2 learners due to the hierarchical structure of the…
Descriptors: Bilingualism, Chinese, Orthographic Symbols, Phonological Awareness
Qi Cheng; Xu Yan; Lujia Yang; Hao Lin – Journal of Deaf Studies and Deaf Education, 2024
The current study combined sentence plausibility judgment and self-paced reading tasks to examine the comprehension strategies and processing patterns of Chinese deaf individuals when comprehending written Chinese sentences with syntactic-semantic cue conflicts. Similar to findings from previous crosslinguistic studies on deaf readers, the Chinese…
Descriptors: Foreign Countries, Deafness, Reading Comprehension, Syntax
Gal Sasson Lazovsky; Tuval Raz; Yoed N. Kenett – Journal of Creative Behavior, 2025
As artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…
Descriptors: Creativity, Questioning Techniques, Inquiry, Artificial Intelligence
Jennifer G. Cromley; Runzhi Chen – Grantee Submission, 2024
Visual displays, such as illustrated web pages, animations, and simulations, can both aid and pose challenges for learners. The first generation of educational research on visuals focused on the basic processes underlying comprehension. A second generation of research tested various instructional supports for visual displays, and this research was…
Descriptors: Literature Reviews, Educational Research, Visual Aids, Outcomes of Education
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Amanda M. Clevinger; John H. Mace – Applied Cognitive Psychology, 2024
Our aim in the current study was to examine how different diary methods might impact the results of involuntary memory studies. We compared three different commonly used diary methods, record all memories experienced per day, record up to two memories per day, or record only the first two per day. Results showed that the record-all group had the…
Descriptors: Journal Writing, Diaries, Personal Narratives, Autobiographies
McREL International, 2025
Teachers use a variety of strategies to capture students' attention, which is a necessary step for any lesson. Expert-level teachers take this one step farther, making sure that their attention-gathering techniques engage students cognitively, sparking productive curiosity and connecting to key concepts and skills to be learned in a unit or…
Descriptors: Elementary School Students, Secondary School Students, Secondary School Teachers, Elementary School Teachers
Reilly Norum; Ji-Eun Lee; Erin Ottmar; Lane Harrison – British Journal of Educational Technology, 2024
Well-designed online educational games can improve students' math knowledge, skills and engagement; however, more research is needed to understand how to formatively assess components of students' mathematical understanding and learning as students solve problems in online educational games. In this study, we examined how 7th-grade students' (N =…
Descriptors: Educational Games, Computer Games, Student Evaluation, Mathematics Skills
Kelly M. McGinn; Julie L. Booth; Alexandra Huyghe; Laura K. Young; M. Suzanne Donovan – Journal of Experimental Education, 2025
Prior short-term studies have shown the effectiveness of worked examples and self-explanation prompts in improving elementary students' mathematics knowledge. However, year-long classroom-based interventions have been tested only with older students. The purpose of the current study was to explore the effectiveness of a year-long classroom…
Descriptors: Grade 5, Mathematics Instruction, Intervention, Elementary School Students
Shalva Kikalishvili – Interactive Learning Environments, 2024
Presented study seeks to examine the potential applications of the OpenAI language model, GPT-3, within the realm of education. Specifically, the inquiry focuses on the feasibility of utilizing GPT-3 to generate essays based on customized prompts. To this end, the experimentation involved providing GPT-3 with tailored prompts derived from diverse…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Opportunities
Erdem Onan; Felicitas Biwer; Roman Abel; Wisnu Wiradhany; Anique de Bruin – npj Science of Learning, 2024
During category learning, students struggle to create an optimal study order: They often study one category at a time (i.e., blocked practice) instead of alternating between different categories (i.e., interleaved practice). Several interventions to improve self-study of categorical learning have been proposed, but these interventions have only…
Descriptors: Metacognition, Learning Strategies, Cues, Instructional Materials
Ghadeer Sawalha; Imran Taj; Abdulhadi Shoufan – Cogent Education, 2024
Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…
Descriptors: Cues, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Yi-Chun Christine Yang – Taiwan Journal of TESOL, 2024
This study examines the relationship between EFL students' noticing and three written feedback strategies. The convenience sampling method was adopted and four intact classes were randomly assigned into four groups: the model, the error correction, the reformulation, and the control groups. After the completion of picture-cued writing tasks as…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, Error Correction