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Direct linkXiaojing Weng; Qi Xia; Mingyue Gu; Kumaran Rajaram; Thomas K. F. Chiu – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…
Descriptors: Evaluation Methods, Outcomes of Education, Artificial Intelligence, Natural Language Processing
Download full textBozkurt, Aras; Xiao, Junhong; Lambert, Sarah; Pazurek, Angelica; Crompton, Helen; Koseoglu, Suzan; Farrow, Robert; Bond, Melissa; Nerantzi, Chrissi; Honeychurch, Sarah; Bali, Maha; Dron, Jon; Mir, Kamran; Stewart, Bonnie; Costello, Eamon; Mason, Jon; Stracke, Christian M.; Romero-Hall, Enilda; Koutropoulos, Apostolos; Toquero, Cathy Mae; Singh, Lenandlar; Tlili, Ahmed; Lee, Kyungmee; Nichols, Mark; Ossiannilsson, Ebba; Brown, Mark; Irvine, Valerie; Raffaghelli, Juliana Elisa; Santos-Hermosa, Gema; Farrell, Orna; Adam, Taskeen; Thong, Ying Li; Sani-Bozkurt, Sunagul; Sharma, Ramesh C.; Hrastinski, Stefan; Jandric, Petar – Asian Journal of Distance Education, 2023
While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are…
Descriptors: Artificial Intelligence, Technology Uses in Education, Affordances, Teacher Role
Christopher Dann; Petrea Redmond; Melissa Fanshawe; Alice Brown; Seyum Getenet; Thanveer Shaik; Xiaohui Tao; Linda Galligan; Yan Li – Australasian Journal of Educational Technology, 2024
Making sense of student feedback and engagement is important for informing pedagogical decision-making and broader strategies related to student retention and success in higher education courses. Although learning analytics and other strategies are employed within courses to understand student engagement, the interpretation of data for larger data…
Descriptors: Artificial Intelligence, Learner Engagement, Feedback (Response), Decision Making
Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl; Rich, Anina N.; Brock, Jon; Nickels, Lyndsey; Moerel, Denise; Dermody, Nadene; Yau, Shu; Schmidt, Elaine; Woolgar, Alexandra – Journal of Speech, Language, and Hearing Research, 2020
Purpose: We aimed to develop a noninvasive neural test of language comprehension to use with nonspeaking children for whom standard behavioral testing is unreliable (e.g., minimally verbal autism). Our aims were threefold. First, we sought to establish the sensitivity of two auditory paradigms to elicit neural responses in individual neurotypical…
Descriptors: Receptive Language, Language Impairments, Comprehension, Auditory Stimuli
Ilker Cingillioglu – Studies in Higher Education, 2024
This study provides an empirical approach to utilizing an Artificial Intelligence (AI)-based system for identifying students' university choice factors that impact their matriculation decision. We created an AI-based chatbot that gathered both qualitative and quantitative data from nearly 1200 participants worldwide. The entire human-AI…
Descriptors: Admission (School), Decision Making, Student Attitudes, College Choice
Dann, Kelly M.; Veldre, Aaron; Andrews, Sally – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Much of the evidence for morphological decomposition accounts of complex word identification has relied on the masked-priming paradigm. However, morphologically complex words are typically encountered in sentence contexts and processing begins before a word is fixated, when it is in the parafovea. To evaluate whether the single word-identification…
Descriptors: Morphology (Languages), Morphemes, Priming, Word Recognition
McKnight, Lucinda – Changing English: Studies in Culture and Education, 2021
With artificial intelligence (AI) now producing human-quality text in seconds via natural language generation, urgent questions arise about the nature and purpose of the teaching of writing in English. Humans have already been co-composing with digital tools for decades, in the form of spelling and grammar checkers built into word processing…
Descriptors: Robotics, Artificial Intelligence, Writing (Composition), Writing Instruction
Dyson, Bronwen – Second Language Research, 2023
This article enters the debate about the complex and dynamical nature of second language acquisition (SLA) by discussing and commenting on Pallotti's critique of Complex Dynamic Systems Theory (CDST). Pallotti's critique brings to the fore the argument that, due to its anti-reductionist stance, CDST research fails to observe three fundamental…
Descriptors: Second Language Learning, Language Processing, Linguistic Theory, Language Research
Marziyeh Khalilizadeh Ganjalikhani; Akbar Hesabi; Saeed Ketabi – International Journal of Multilingualism, 2024
Health translation has gotten considerable attention recently because language diversity in multilingual societies often leads to language barriers. The present study evaluates the linguistic comprehensibility of translations in the "Health Translations Website" from the Victorian Government of Australia using the patient-oriented and…
Descriptors: Health Services, Indo European Languages, Translation, English (Second Language)
Davies, Benjamin; Xu Rattanasone, Nan; Demuth, Katherine – Language Learning and Development, 2020
English-speaking children use plural morphology from around the age of 2, yet often omit the syllabic plural allomorph /-[schwa]z/ until age 5 (e.g., "bus(es)"). It is not clear if this protracted acquisition is due to articulatory difficulties, low input frequency, or fricative-final words (e.g., "bus," "nose") being…
Descriptors: Morphemes, Morphology (Languages), Linguistic Input, Phonology
Ramage, Amy E.; Aytur, Semra; Ballard, Kirrie J. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Brain imaging has provided puzzle pieces in the understanding of language. In neurologically healthy populations, the structure of certain brain regions is associated with particular language functions (e.g., semantics, phonology). In studies on focal brain damage, certain brain regions or connections are considered sufficient or…
Descriptors: Aphasia, Brain Hemisphere Functions, Language Skills, Language Impairments
Paquette-Smith, Melissa; Cooper, Angela; Johnson, Elizabeth K. – Journal of Child Language, 2021
Infants struggle to understand familiar words spoken in unfamiliar accents. Here, we examine whether accent exposure facilitates accent-specific adaptation. Two types of pre-exposure were examined: video-based (i.e., listening to pre-recorded stories; Experiment 1) and live interaction (reading books with an experimenter; Experiments 2 and 3).…
Descriptors: Infants, Language Processing, Pronunciation, Mandarin Chinese
Kinoshita, Sachiko; Mills, Luke – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
The present study investigated how response mode (oral vs. manual) modulates the Stroop effect using a picture variant of the Stroop task in which participants named orally, or identified with a manual keypress, line drawings of animals (e.g., camel). Consistent with previous color-response Stroop studies, relative to the nonlinguistic neutral…
Descriptors: Phonology, Language Processing, Animals, Color
Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
Lu Cao; Stephen Doherty; James F. Lee – Interpreter and Translator Trainer, 2023
As the final phase of the translation process, self-revision has traditionally been a relatively neglected component despite it being widely acknowledged as critical to achieving high-quality translation and in translator training. To identify effective educational interventions for self-revision, the current paper reports on a study that…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Professional Education
