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Zhao Wanli; Tang Youjun; Ma Xiaomei – SAGE Open, 2025
Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…
Descriptors: Bibliometrics, Second Language Learning, Computer Science, Educational Research
Phil Seok Oh; Gyeong-Geon Lee – Science & Education, 2025
How and why science education scholars and practitioners might use artificial intelligence (AI) in the classroom has been a controversial agenda for decades. ChatGPT, a state-of-the-art (SOTA) AI released in November 2022, has attracted global interest for its exceptionally high performance in generating human-like natural language answers to…
Descriptors: Science Education, Artificial Intelligence, Cognitive Processes, Affective Behavior
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
Leveraging Large Language Models to Generate Course-Specific Semantically Annotated Learning Objects
Dominic Lohr; Marc Berges; Abhishek Chugh; Michael Kohlhase; Dennis Müller – Journal of Computer Assisted Learning, 2025
Background: Over the past few decades, the process and methodology of automatic question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content. Objectives: This paper explores the potential of large language models…
Descriptors: Resource Units, Semantics, Automation, Questioning Techniques
Kocab, Annemarie; Davidson, Kathryn; Snedeker, Jesse – Cognitive Science, 2022
Classical quantifiers (like "all," "some," and "none") express relationships between two sets, allowing us to make generalizations (like "no elephants fly"). Devices like these appear to be universal in human languages. Is the ubiquity of quantification due to a universal property of the human mind or is it…
Descriptors: Natural Language Processing, Form Classes (Languages), Cognitive Processes, Spanish
Yanyan Zhang; Xiaomin Lai; Suping Yi; Yefeng Lu – Education and Information Technologies, 2025
A new kind of reading platform supported by ChatGPT has quickly become a popular research assistant among students due to its instant natural language interaction and question-answering capabilities. This study explored the effects of ChatGPT-based reading platform on student's foreign language paper reading. A total of 64 undergraduate students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Undergraduate Students
Sorin Valcea; Maria Riaz Hamdani; Shuai Wang – Journal of Management Education, 2024
This essay explores the nuanced impact of generative AI technologies on management and business education, framed through three paradoxes: the "Expertise Paradox" suggests that AI's adequate performance at lower-level tasks may weaken students' development of higher-level thinking; the "Innovation Paradox" states that AI's…
Descriptors: Artificial Intelligence, Natural Language Processing, Business Administration Education, Technology Uses in Education
Émilie Laplante; Valérie Geraghty; Emalie Hendel; René-Pierre Sonier; Dominic Guitard; Jean Saint-Aubin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
When readers are asked to detect a target letter while reading for comprehension, they miss it more frequently when it is embedded in a frequent function word than in a less frequent content word. This missing-letter effect has been used to investigate the cognitive processes involved in reading. A similar effect, called the missing-phoneme effect…
Descriptors: Auditory Perception, Written Language, Phonemes, Morphology (Languages)
Pedro Isaias, Editor; Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…
Descriptors: Artificial Intelligence, Cognitive Processes, Discovery Learning, Teaching Methods
Bima Sapkota; Liza Bondurant – International Journal of Technology in Education, 2024
In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises…
Descriptors: Cognitive Processes, Difficulty Level, Artificial Intelligence, Natural Language Processing
Filik, Ruth; Ingram, Joanne; Moxey, Linda; Leuthold, Hartmut – Journal of Psycholinguistic Research, 2021
According to the Presupposition-Denial Account, complement set reference arises when focus is on the "shortfall" between the amount conveyed by a natural language quantifier and a larger, expected amount. Negative quantifiers imply a shortfall, through the denial of a presupposition, whereas positive quantifiers do not. An exception may…
Descriptors: Figurative Language, Linguistic Theory, Natural Language Processing, Form Classes (Languages)
Richie, Russell; Bhatia, Sudeep – Cognitive Science, 2021
Similarity is one of the most important relations humans perceive, arguably subserving category learning and categorization, generalization and discrimination, judgment and decision making, and other cognitive functions. Researchers have proposed a wide range of representations and metrics that could be at play in similarity judgment, yet have not…
Descriptors: Classification, Generalization, Decision Making, Cognitive Processes
Ching-Huei Chen; Ching-Ling Chang – Education and Information Technologies, 2024
This study aimed to investigate the effectiveness of using AI-assisted game-based learning on science learning outcomes, intrinsic motivation, cognitive load, and learning behavior. A total of 202 seventh graders were recruited and randomly assigned to the following three groups: (1) Game only (N = 70), (2) GameGPT (N = 63), and (3)…
Descriptors: Artificial Intelligence, Game Based Learning, Technology Uses in Education, Science Instruction
Crossley, Scott; Wan, Qian; Allen, Laura; McNamara, Danielle – Reading and Writing: An Interdisciplinary Journal, 2023
Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…
Descriptors: Writing Skills, Cognitive Processes, Essays, Cues
Chahna Gonsalves – Journal of Learning Development in Higher Education, 2023
Multiple-choice quizzes (MCQs) are a popular form of assessment. A rapid shift to online assessment during the COVID-19 pandemic in 2020, drove the uptake of MCQs, yet limited invigilation and wide access to material on the internet allow students to solve the questions via internet search. ChatGPT, an artificial intelligence (AI) agent trained on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Multiple Choice Tests