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690 resources
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Joost Kruis, Maria Soledad Pera, Zoë Ten...|Jun 17th, 2024|conferencePaperJoost Kruis, Maria Soledad Pera, Zoë Ten...Jun 17th, 2024
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Oluwanife Segun Falebita|Jun 16th, 2024|journalArticleOluwanife Segun FalebitaJun 16th, 2024
Many revelations have been made about the revolution that artificial intelligence (AI) has brought to the education sector, including the opening of opportunities for personalised instruction, boosting the quality of content developed by teachers while preparing for lessons, and improving the quality of classroom evaluations. Despite the many benefits of AI adoption, there have been concerns and apprehensions about its use in the educational sector. A survey was conducted to investigate the...
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Zhoumingju Jiang, Mengjun Jiang|Jun 16th, 2024|preprintZhoumingju Jiang, Mengjun JiangJun 16th, 2024
The integration of artificial intelligence (AI) in education has shown significant promise, yet the effective personalization of learning, particularly in physics education, remains a challenge. This paper proposes Physics-STAR, a framework for large language model (LLM)- powered tutoring system designed to address this gap by providing personalized and adaptive learning experiences for high school students. Our study evaluates Physics-STAR against traditional teacher-led lectures and...
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José Campino|Jun 13th, 2024|journalArticleJosé CampinoJun 13th, 2024
Artificial Intelligence (AI) has witnessed widespread application across diverse domains, with education being a prominent focus for enhancing learning outcomes and tailoring educational approaches. Transformer models, exemplified by BERT, have demonstrated remarkable efficacy in Natural Language Processing (NLP) tasks. This research scrutinizes the current landscape of AI in education, emphasizing the utilization of transformer models. Specifically, the research delves into the influence of...
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Septiani Amanda Puteri, Yulia Saputri, Y...|Jun 10th, 2024|conferencePaperSeptiani Amanda Puteri, Yulia Saputri, Y...Jun 10th, 2024
In an era where artificial intelligence (AI) technology is increasingly penetrating various aspects of life, including education, it is important to understand its impact on students' social relationships. These changes raise questions about how interactions between students and teachers are affected by AI Technology. This research aims to investigate the impact or artificial intelligence on students' social relationships in an educational environment. The focus is on understanding changes...
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Xian Li, Guangxin Han, Bei Fang|Jun 7th, 2024|journalArticleXian Li, Guangxin Han, Bei FangJun 7th, 2024
The development of artificial intelligence (AI) significantly improves the effectiveness of classroom dialogue systems, but their integration into the learning environment remains challenging. To address this gap, this research presents a framework for automatic intelligent dialogue analysis, intending to promote high-quality classroom dialogue and facilitate teaching and learning. The proposed framework includes two main components: a dialogue-oriented interactive classroom and an...
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Bhashithe Abeysinghe, Ruhan Circi|Jun 5th, 2024|preprintBhashithe Abeysinghe, Ruhan CirciJun 5th, 2024
Chatbots have been an interesting application of natural language generation since its inception. With novel transformer based Generative AI methods, building chatbots have become trivial. Chatbots which are targeted at specific domains such as medicine, psychology, and general information retrieval are implemented rapidly. This, however, should not distract from the need to evaluate the chatbot responses. Especially because the natural language generation community does not entirely agree...
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Bhashithe Abeysinghe, Ruhan Circi|Jun 5th, 2024|preprintBhashithe Abeysinghe, Ruhan CirciJun 5th, 2024
Chatbots have been an interesting application of natural language generation since its inception. With novel transformer based Generative AI methods, building chatbots have become trivial. Chatbots which are targeted at specific domains such as medicine, psychology, and general information retrieval are implemented rapidly. This, however, should not distract from the need to evaluate the chatbot responses. Especially because the natural language generation community does not entirely agree...
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David Ifeoluwa Adelani, Jessica Ojo, Isr...|Jun 5th, 2024|preprintDavid Ifeoluwa Adelani, Jessica Ojo, Isr...Jun 5th, 2024
Despite the widespread adoption of Large language models (LLMs), their remarkable capabilities remain limited to a few high-resource languages. Additionally, many low-resource languages (e.g. African languages) are often evaluated only on basic text classification tasks due to the lack of appropriate or comprehensive benchmarks outside of high-resource languages. In this paper, we introduce IrokoBench -- a human-translated benchmark dataset for 16 typologically-diverse low-resource African...
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Jun 4th, 2024|webpageJun 4th, 2024
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Wenchao Li, Haitao Liu|Jun 3rd, 2024|journalArticleWenchao Li, Haitao LiuJun 3rd, 2024
Recent advancements in artificial intelligence (AI) have led to an increased use of large language models (LLMs) for language assessment tasks such as automated essay scoring (AES), automated listening tests, and automated oral proficiency assessments. The application of LLMs for AES in the context of non-native Japanese, however, remains limited. This study explores the potential of LLM-based AES by comparing the efficiency of different models, i.e. two conventional machine training...
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FineWeb: decanting the web for the finest text data at scale - a Hugging Face Space by HuggingFaceFWJun 2nd, 2024|webpageJun 2nd, 2024
Discover amazing ML apps made by the community
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Johanna Fleckenstein, Jennifer Meyer, Th...|Jun 1st, 2024|journalArticleJohanna Fleckenstein, Jennifer Meyer, Th...Jun 1st, 2024
The potential application of generative artificial intelligence (AI) in schools and universities poses great challenges, especially for the assessment…
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Riordan Alfredo, Vanessa Echeverria, Yue...|Jun 1st, 2024|journalArticleRiordan Alfredo, Vanessa Echeverria, Yue...Jun 1st, 2024
The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but raises concerns about data privacy and agency. Excluding stakeholders—like students and teachers—from the design process can potentially lead to mistrust and inadequately aligned tools. Despite a shift towards human-centred design in recent LA and AIED research, there remain gaps in our understanding of the importance of human control, safety,...
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Imran Chamieh, Torsten Zesch, Klaus Gieb...|Jun 1st, 2024|conferencePaperImran Chamieh, Torsten Zesch, Klaus Gieb...Jun 1st, 2024
In this work, we investigate the potential of Large Language Models (LLMs) for automated short answer scoring. We test zero-shot and few-shot settings, and compare with fine-tuned models and a supervised upper-bound, across three diverse datasets. Our results, in zero-shot and few-shot settings, show that LLMs perform poorly in these settings: LLMs have difficulty with tasks that require complex reasoning or domain-specific knowledge. While the models show promise on general knowledge tasks....
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Gyeong-Geon Lee, Ehsan Latif, Xuansheng ...|Jun 1st, 2024|preprintGyeong-Geon Lee, Ehsan Latif, Xuansheng ...Jun 1st, 2024
This study investigates the application of large language models (LLMs), specifically GPT-3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written responses to science assessments. We focused on overcoming the challenges of accessibility, technical complexity, and lack of explainability that have previously limited the use of artificial intelligence-based automatic scoring tools among researchers and educators. With a testing dataset comprising six assessment...
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Gyeong-Geon Lee, Ehsan Latif, Xuansheng ...|Jun 1st, 2024|journalArticleGyeong-Geon Lee, Ehsan Latif, Xuansheng ...Jun 1st, 2024
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Sang Joon Lee, Kyungbin Kwon|Jun 1st, 2024|journalArticleSang Joon Lee, Kyungbin KwonJun 1st, 2024
AI education aims to teach AI concepts, essential knowledge, and skills related to the fundamental ideas in AI. As AI becomes increasingly prevalent in our daily lives, schools and educators have started to recognize the importance of AI education in K-12 schools. However, there have been a limited number of studies reporting on the implementation of AI education in classrooms. This systematic review aimed to provide an overview of the current state of AI education in K-12 schools, exploring...
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Elena MartínMonje, Elena Barcena|Jun 1st, 2024|journalArticleElena MartínMonje, Elena BarcenaJun 1st, 2024
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Jennifer Meyer, Thorben Jansen, Ronja Sc...|Jun 1st, 2024|journalArticleJennifer Meyer, Thorben Jansen, Ronja Sc...Jun 1st, 2024
Writing proficiency is an essential skill for upper secondary students that can be enhanced through effective feedback. Creating feedback on writing tasks, however, is time-intensive and presents a challenge for educators, often resulting in students receiving insufficient or no feedback. The advent of text-generating large language models (LLMs) offers a promising solution, namely, automated evidence-based feedback generation. Yet, empirical evidence from randomized controlled studies about...