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Changyu Yang; Adam Stivers – Journal of Education for Business, 2024
The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Comparative Analysis
Michelle Pauley Murphy; Woei Hung – TechTrends: Linking Research and Practice to Improve Learning, 2024
Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…
Descriptors: Information Retrieval, Data Analysis, Pattern Recognition, Artificial Intelligence
Wu, Yinyin; Liao, Posen – Interpreter and Translator Trainer, 2018
Despite a cognitive disadvantage when interpreting into one's B language, strategy use and awareness of norms allow interpreters to be resourceful and efficient in achieving communicative goals. There is a need to incorporate strategy training in interpreter education, especially when teaching into-B interpreting. However, strategy taxonomies…
Descriptors: Teaching Methods, Translation, Language Processing, Second Languages
Wiggins, Joseph B.; Grafsgaard, Joseph F.; Boyer, Kristy Elizabeth; Wiebe, Eric N.; Lester, James C. – International Journal of Artificial Intelligence in Education, 2017
In recent years, significant advances have been made in intelligent tutoring systems, and these advances hold great promise for adaptively supporting computer science (CS) learning. In particular, tutorial dialogue systems that engage students in natural language dialogue can create rich, adaptive interactions. A promising approach to increasing…
Descriptors: Intelligent Tutoring Systems, Self Efficacy, Computer Science Education, Dialogs (Language)
Diziol, Dejana; Walker, Erin; Rummel, Nikol; Koedinger, Kenneth R. – Educational Psychology Review, 2010
Research on computer-supported collaborative learning has shown that students need support to benefit from collaborative activities. While classical collaboration scripts have been effective in providing such support, they have also been criticized for being coercive and not allowing students to self-regulate their learning. Adaptive collaboration…
Descriptors: Student Problems, Learning Activities, Cooperation, Language Processing
Zajenkowski, Marcin; Styla, Rafal; Szymanik, Jakub – Journal of Communication Disorders, 2011
We compared the processing of natural language quantifiers in a group of patients with schizophrenia and a healthy control group. In both groups, the difficulty of the quantifiers was consistent with computational predictions, and patients with schizophrenia took more time to solve the problems. However, they were significantly less accurate only…
Descriptors: Control Groups, Schizophrenia, Language Impairments, Patients
Carruthers, Sarah; Stege, Ulrike – Journal of Problem Solving, 2013
This article is concerned with how computer science, and more exactly computational complexity theory, can inform cognitive science. In particular, we suggest factors to be taken into account when investigating how people deal with computational hardness. This discussion will address the two upper levels of Marr's Level Theory: the computational…
Descriptors: Problem Solving, Computation, Difficulty Level, Computer Science
Montrul, Silvina – Studies in Second Language Acquisition, 2009
The fundamental difference hypothesis (FDH), as formulated by Bley-Vroman (1990), claims that SLA tends to be nonconvergent because domain-specific linguistic mechanisms available in early childhood cannot be used for language learning in adulthood: Instead, second language (L2) learners deploy domain-general problem solving skills. I claim that…
Descriptors: Second Language Learning, Children, Bilingualism, Linguistic Theory

Kelly, Michael H. – Psychological Review, 1991
The importance of phonology in assigning words to the correct grammatical category in language processing is discussed. Correlations between phonology and grammatical class are discussed. Experiments demonstrating that adults and children have learned these correlations are proposed and evaluated. (SLD)
Descriptors: Acoustics, Adults, Children, Classification
Boers, Frank; Eyckmans, June; Stengers, Helene – Language Teaching Research, 2007
Instead of being completely arbitrary, the meaning of many idioms is "motivated" by their original, literal usage. In an FLT context, this offers the possibility of presenting idioms in ways that promote insightful learning rather than "blind" memorization. Associating an idiom with its etymology has been shown to enhance retention. This effect…
Descriptors: Language Patterns, Etymology, Mnemonics, Figurative Language
Mondahl, Margrethe; Jensen, Knud Anker – 1989
Advanced learners' processing of linguistic knowledge in connection with a translation task from Danish into English is discussed. The focus of the discussion is on learners' use of different types of linguistic knowledge (the degree to which they use this linguistic knowledge and the form in which it is represented). The following issues are…
Descriptors: Cognitive Processes, Danish, English (Second Language), Grammar
Ada, Alma Flor – 1987
A discussion of reading instruction for limited-English-proficient (LEP) students looks at elements contributing to development of an effective instructional approach. The elements discussed include the following: the quality of reading materials; role of oral language development; design of an initial decoding process geared to success; need to…
Descriptors: Bilingual Education, Creativity, Critical Thinking, Decoding (Reading)