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Hosnia M. M. Ahmed; Shaymaa E. Sorour – Education and Information Technologies, 2024
Evaluating the quality of university exam papers is crucial for universities seeking institutional and program accreditation. Currently, exam papers are assessed manually, a process that can be tedious, lengthy, and in some cases, inconsistent. This is often due to the focus on assessing only the formal specifications of exam papers. This study…
Descriptors: Higher Education, Artificial Intelligence, Writing Evaluation, Natural Language Processing
Reima Al-Jarf – Online Submission, 2024
This study explores Arab university faculty's views on fully AI-generated assignments and research papers submitted by students, what reasons they give for their stance and how they react in this case. Surveys with a sample of 45 Arab instructors revealed that 98% do not accept AI-generated assignments and research papers from students at all.…
Descriptors: Assignments, Research Papers (Students), Foreign Countries, College Faculty
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Lirong Tang; Yangxiaoxue Xu; Shiting Yang; Xiangyun Meng; Boqi Du; Chen Sun; Li Liu; Qi Dong; Yun Nan – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Congenital amusia is a neurogenetic disorder of musical pitch processing. Its linguistic consequences have been examined separately for speech intonations and lexical tones. However, in a tonal language such as Chinese, the processing of intonations and lexical tones interacts with each other during online speech perception. Whether and…
Descriptors: Foreign Countries, Mandarin Chinese, Tone Languages, Intonation
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Akvile Sinkeviciute; Julien Mayor; Mila Dimitrova Vulchanova; Natalia Kartushina – Language Learning, 2024
Color terms divide the color spectrum differently across languages. Previous studies have reported that speakers of languages that have different words for light and dark blue (e.g., Russian "siniy" and "goluboy") discriminate color chips sampled from these two linguistic categories faster than speakers of languages that use…
Descriptors: Foreign Countries, Bilingualism, Color, Visual Discrimination
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Regina Hert; Juhani Järvikivi; Anja Arnhold – Cognitive Science, 2024
We report the results of one visual-world eye-tracking experiment and two referent selection tasks in which we investigated the effects of information structure in the form of prosody and word order manipulation on the processing of subject pronouns "er" and "der" in German. Factors such as subjecthood, focus, and topicality,…
Descriptors: Eye Movements, Form Classes (Languages), Language Processing, Grammar
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Abdulkadir Kara; Eda Saka Simsek; Serkan Yildirim – Asian Journal of Distance Education, 2024
Evaluation is an essential component of the learning process when discerning learning situations. Assessing natural language responses, like short answers, takes time and effort. Artificial intelligence and natural language processing advancements have led to more studies on automatically grading short answers. In this review, we systematically…
Descriptors: Automation, Natural Language Processing, Artificial Intelligence, Grading
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Mostafa Nazari; Golsa Saadi – Discover Education, 2024
The escalating integration of artificial intelligence (AI) technologies, particularly the widespread use of ChatGPT in higher education, necessitates a profound exploration of effective communication strategies. This paper addresses the critical role of prompt development as a skill essential for university instructors engaging with ChatGPT. While…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Communication Strategies
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Brady L. Nash – Reading Research Quarterly, 2024
Generative artificial intelligence (GAI) programs such as ChatGPT and other large language models are designed to engage in complex, responsive dialogues that feel like human interactions. The dialogic and responsive nature of GAI signals the potential for users to form relationships with GAI platforms or digital personalities created on these…
Descriptors: Intimacy, Interpersonal Relationship, Epistemology, Artificial Intelligence
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Christine E. Potter; Casey Lew-Williams – Journal of Child Language, 2024
We examined how noun frequency and the typicality of surrounding linguistic context contribute to children's real-time comprehension. Monolingual English-learning toddlers viewed pairs of pictures while hearing sentences with typical or atypical sentence frames ("Look at the…" vs. "Examine the…"), followed by nouns that were…
Descriptors: Child Language, Toddlers, Word Frequency, Sentences
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Ibrahim Talaat Ibrahim; Najeh Rajeh Alsalhi; Atef F. I. Abdelkader; Nidal Alzboun; Abdellateef Alqawasmi – Eurasian Journal of Applied Linguistics, 2024
Artificial intelligence (AI) has become an integral component of human existence, with individuals employing AI tools in various facets of life. Among the most significant applications of AI is its role in facilitating communication among humans. The present study focuses on the use of AI in translating a crucial type of text that falls within the…
Descriptors: Artificial Intelligence, Translation, Geography, Politics
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Salomé Do; Étienne Ollion; Rubing Shen – Sociological Methods & Research, 2024
The last decade witnessed a spectacular rise in the volume of available textual data. With this new abundance came the question of how to analyze it. In the social sciences, scholars mostly resorted to two well-established approaches, human annotation on sampled data on the one hand (either performed by the researcher, or outsourced to…
Descriptors: Computation, Social Sciences, Natural Language Processing, Artificial Intelligence
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Putnikovic, Marko; Jovanovic, Jelena – IEEE Transactions on Learning Technologies, 2023
Automatic grading of short answers is an important task in computer-assisted assessment (CAA). Recently, embeddings, as semantic-rich textual representations, have been increasingly used to represent short answers and predict the grade. Despite the recent trend of applying embeddings in automatic short answer grading (ASAG), there are no…
Descriptors: Automation, Computer Assisted Testing, Grading, Natural Language Processing
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Mumford, Katherine H.; Aussems, Suzanne; Kita, Sotaro – Developmental Science, 2023
Previous research has shown a strong positive association between right-handed gesturing and vocabulary development. However, the causal nature of this relationship remains unclear. In the current study, we tested whether gesturing with the right hand enhances linguistic processing in the left hemisphere, which is contralateral to the right hand.…
Descriptors: Nonverbal Communication, Handedness, Toddlers, Vocabulary Development
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Cokal, Derya; Filik, Ruth; Sturt, Patrick; Poesio, Massimo – Discourse Processes: A Multidisciplinary Journal, 2023
Corpus evidence suggests that in contexts in which the presence of multiple antecedents might favor plural reference, the disadvantage observed for singular reference may disappear if the potential antecedents are combined in a group-like plural entity. We examined the relative salience of antecedents in conditions where the context either made a…
Descriptors: Morphemes, Form Classes (Languages), Semantics, Foreign Countries
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Ronai, Eszter; Xiang, Ming – Cognitive Science, 2023
Memory limitations and probabilistic expectations are two key factors that have been posited to play a role in the incremental processing of natural language. Relative clauses (RCs) have long served as a key proving ground for such theories of language processing. Across three self-paced reading experiments, we test the online comprehension of…
Descriptors: Memory, Expectation, Language Processing, Syntax
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