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Naima Debbar – International Journal of Contemporary Educational Research, 2024
Intelligent systems of essay grading constitute important tools for educational technologies. They can significantly replace the manual scoring efforts and provide instructional feedback as well. These systems typically include two main parts: a feature extractor and an automatic grading model. The latter is generally based on computational and…
Descriptors: Test Scoring Machines, Computer Uses in Education, Artificial Intelligence, Essay Tests
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Farrow, Robert – Learning, Media and Technology, 2023
Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn in AI. The socio-technical perspective indicates that explicability is a relative term.…
Descriptors: Artificial Intelligence, Algorithms, Computer Uses in Education, Language Usage
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Jennifer Campbell; Katie Ansell; Tim Stelzer – Physical Review Physics Education Research, 2024
Recent advances in publicly available natural language processors (NLP) may enhance the efficiency of analyzing student short-answer responses in physics education research (PER). We train a state-of-the-art NLP, IBM's Watson, and test its agreement with human coders using two different studies that gathered text responses in which students…
Descriptors: Artificial Intelligence, Physics, Natural Language Processing, Computer Uses in Education
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Chau, Hung; Labutov, Igor; Thaker, Khushboo; He, Daqing; Brusilovsky, Peter – International Journal of Artificial Intelligence in Education, 2021
The increasing popularity of digital textbooks as a new learning media has resulted in a growing interest in developing a new generation of "adaptive textbooks" that can help readers to learn better through adapting to the readers' learning goals and the current state of knowledge. These adaptive textbooks are most frequently powered by…
Descriptors: Automation, Textbooks, Computer Uses in Education, Artificial Intelligence
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Abecassis, Sharon; Magen, Hagit; Weintraub, Naomi – Learning Disabilities Research & Practice, 2023
Higher education students with specific learning disorders (SLD) often experience difficulties in basic learning skills, including typing on computers, which has become the most common writing mode for academic purposes. This may affect their academic performance. We compared the typing performance, product, and technique (screen gaze, finger use)…
Descriptors: Office Occupations, Performance, College Students, Learning Disabilities
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Blikstein, Paulo; Zheng, Yipu; Zhou, Karen Zhuqian – European Journal of Education, 2022
New ideas and technologies enable new ways of doing as well as new forms of language. The rise of Artificial Intelligence (AI) is no exception. The implications of changing activity and language take on new gravity in certain fields to which AI is applied, such as education (AIEd). Terms like "smart," "intelligence," and…
Descriptors: Artificial Intelligence, Discourse Analysis, Semiotics, Educational Technology
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Mario de la Puente; Jose Torres; Ana Laura Blanco Troncoso; Yuraima Yuliza Hernández Meza; Jenny Xiomara Marquez Carrascal – Smart Learning Environments, 2024
This study investigated the effectiveness of using ChatGPT, a large language model (LLM), to enhance critical thinking and argumentation skills among undergraduate students studying international relations in a developing nation context. A total of 95 participants were randomly assigned to an experimental group (n = 48) and a control group (n =…
Descriptors: Artificial Intelligence, Computer Uses in Education, Critical Thinking, Persuasive Discourse
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Wei Wei; Junyi Dai; Chuansheng Chen; Yingge Huang; Xinlin Zhou – Journal of Cognition and Development, 2024
Urban and rural children have different levels of performance in arithmetic processing. This study investigated whether such a residence difference can be explained by phonological processing. A total of 1,501 Chinese primary school students from urban and rural areas were recruited to complete nine cognitive tasks: two in arithmetic performance…
Descriptors: Rural Urban Differences, Arithmetic, Phonology, Language Processing
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Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary; Liu, Caixia – Educational Technology & Society, 2022
With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…
Descriptors: Artificial Intelligence, Educational Trends, Educational Technology, Bibliometrics
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Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation
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Sajjapanroj, Suthiporn; Longpradit, Panchit; Polanunt, Kaanwarin – Asian Journal of Distance Education, 2020
The main purpose of the study is to develop a prototype of Google Dialog Flow (Dialog flow) for interacting with in-service school teachers on the content relating to the classroom research. The project has been carried out since the early of May 2020 and is still ongoing. This paper presenting the progress report as of October 2020 focuses on the…
Descriptors: Foreign Countries, Public School Teachers, Faculty Development, Artificial Intelligence
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Tansomboon, Charissa; Gerard, Libby F.; Vitale, Jonathan M.; Linn, Marcia C. – International Journal of Artificial Intelligence in Education, 2017
Supporting students to revise their written explanations in science can help students to integrate disparate ideas and develop a coherent, generative account of complex scientific topics. Using natural language processing to analyze student written work, we compare forms of automated guidance designed to motivate productive revision and help…
Descriptors: Automation, Guidance, Revision (Written Composition), Natural Language Processing
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McManus, Kevin; Marsden, Emma – Studies in Second Language Acquisition, 2017
This study investigated the effectiveness of providing L1 explicit information (EI) with practice for making more accurate and faster interpretations of L2 French "Imparfait" (IMP). Two treatments were investigated: (a) "L2-only," providing EI about the L2 with L2 interpretation practice, and (b) "L2+L1," providing…
Descriptors: Second Language Learning, Accuracy, Language Processing, Control Groups
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Nguyen, Huy; Xiong, Wenting; Litman, Diane – International Journal of Artificial Intelligence in Education, 2017
A peer-review system that automatically evaluates and provides formative feedback on free-text feedback comments of students was iteratively designed and evaluated in college and high-school classrooms. Classroom assignments required students to write paper drafts and submit them to a peer-review system. When student peers later submitted feedback…
Descriptors: Computer Uses in Education, Computer Mediated Communication, Feedback (Response), Peer Evaluation
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Feng, Hui-Hsien; Saricaoglu, Aysel; Chukharev-Hudilainen, Evgeny – CALICO Journal, 2016
Thanks to natural language processing technologies, computer programs are actively being used not only for holistic scoring, but also for formative evaluation of writing. CyWrite is one such program that is under development. The program is built upon Second Language Acquisition theories and aims to assist ESL learners in higher education by…
Descriptors: Error Patterns, Grammar, Language Proficiency, English (Second Language)
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