265 resources

  • Jacob Steiss, Tamara Tate, Steve Graham,...
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    Jun 23rd, 2024
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    journalArticle
    Jacob Steiss, Tamara Tate, Steve Graham,...
    Jun 23rd, 2024

    Structured Abstract Background Offering students formative feedback on their writing is an effective way to facilitate writing development. Recent advances in AI (i.e., ChatGPT) may function as an automated writing evaluation tool, increasing the amount of feedback students receive and diminishing the burden on teachers to provide frequent feedback to large classes. Aims We examined the ability of generative AI (ChatGPT) to provide formative feedback. We compared the quality of human and AI...

  • Lillian Tyack, Lale Khorramdel, Matthias...
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    Jun 23rd, 2024
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    journalArticle
    Lillian Tyack, Lale Khorramdel, Matthias...
    Jun 23rd, 2024

    International large-scale assessments (ILSAs) have used graphical response-based items to measure student ability for decades, but they have yet to implement automated scoring of these responses and instead rely on human scoring alone. To investigate how scores provided by machine algorithms compare to those provided by human raters, we applied convolutional neural networks (CNNs) to classify image-based responses from eight Timss 2019 items. Our results show that the most accurate CNN...

  • Sarthika Dutt, Neelu Jyothi Ahuja
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    May 29th, 2024
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    journalArticle
    Sarthika Dutt, Neelu Jyothi Ahuja
    May 29th, 2024

    This study addresses the learning requirements of learners with learning difficulties by monitoring their learning experience in an Intelligent Tutoring System. Intelligent Tutoring Systems were developed to enrich the teaching-learning process. In the present work, the interface is designed and developed utilizing the potential of Artificial Intelligence to meet their individual needs. Designing an online learning platform for a learners with learning difficulties requires consideration of...

  • May 28th, 2024
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    journalArticle
    May 28th, 2024

    This study investigates the utilisation and perceptions of artificial intelligence (AI) applications among mathematics and science teachers in enhancing students’ learning experience in mathematics classrooms. One prominent AI application this research seeks to explore, given its recent rise in popularity and usage, is ChatGPT. The study aims to explore the frequency and purpose of ChatGPT usage, its potential for student engagement, and its implementation’s perceived effectiveness,...

  • Juan D. Pinto, Luc Paquette
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    May 22nd, 2024
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    preprint
    Juan D. Pinto, Luc Paquette
    May 22nd, 2024

    The challenge of creating interpretable models has been taken up by two main research communities: ML researchers primarily focused on lower-level explainability methods that suit the needs of engineers, and HCI researchers who have more heavily emphasized user-centered approaches often based on participatory design methods. This paper reviews how these communities have evaluated interpretability, identifying overlaps and semantic misalignments. We propose moving towards a unified framework...

  • Kevin Roose
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    May 21st, 2024
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    newspaperArticle
    Kevin Roose
    May 21st, 2024

    Researchers at the A.I. company Anthropic claim to have found clues about the inner workings of large language models, possibly helping to prevent their misuse and to curb their potential threats.

  • May 20th, 2024
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    report
    May 20th, 2024

    This summary provides an overview of the U.S.

  • Irina Jurenka, Markus Kunesch, Kevin McK...
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    May 14th, 2024
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    document
    Irina Jurenka, Markus Kunesch, Kevin McK...
    May 14th, 2024
  • Stephen Bezzina, Alexiei Dingli
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    May 6th, 2024
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    conferencePaper
    Stephen Bezzina, Alexiei Dingli
    May 6th, 2024

    Education today faces a range of challenges, but also unique opportunities, vis-à-vis the evolution of digital technologies. Traditional teaching methods struggle to meet the diverse needs of students, as classrooms comprise learners at different levels. The Education AI project represents an initiative aimed at integrating Artificial Intelligence (AI) into the classroom to address the diversity of students and the challenges faced by traditional teaching methods. The project's core...

  • Jerald Guiwan, Leeron Lacson, Michaella ...
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    May 6th, 2024
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    preprint
    Jerald Guiwan, Leeron Lacson, Michaella ...
    May 6th, 2024

    In the Philippines, elementary students face a significant educational hurdle, particularly in Grade 4, where foundational competencies prove challenging to grasp. This research aims to provide a possible solution for this issue by developing and investigating the functionality of an electronic GLM-powered learner-oriented tool (EGLOT), designed to act as an educational companion that leverages a generative language model to personalize the learning experience for Grade 3 students in...

  • Joy He-Yueya, Noah D. Goodman, Emma Brun...
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    May 6th, 2024
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    preprint
    Joy He-Yueya, Noah D. Goodman, Emma Brun...
    May 6th, 2024

    Creating effective educational materials generally requires expensive and time-consuming studies of student learning outcomes. To overcome this barrier, one idea is to build computational models of student learning and use them to optimize instructional materials. However, it is difficult to model the cognitive processes of learning dynamics. We propose an alternative approach that uses Language Models (LMs) as educational experts to assess the impact of various instructions on learning...

  • Joy He-Yueya, Noah D. Goodman, Emma Brun...
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    May 6th, 2024
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    preprint
    Joy He-Yueya, Noah D. Goodman, Emma Brun...
    May 6th, 2024

    Creating effective educational materials generally requires expensive and time-consuming studies of student learning outcomes. To overcome this barrier, one idea is to build computational models of student learning and use them to optimize instructional materials. However, it is difficult to model the cognitive processes of learning dynamics. We propose an alternative approach that uses Language Models (LMs) as educational experts to assess the impact of various instructions on learning...

  • Hugh Zhang, Jeff Da, Dean Lee
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    May 3rd, 2024
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    preprint
    Hugh Zhang, Jeff Da, Dean Lee
    May 3rd, 2024

    Large language models (LLMs) have achieved impressive success on many benchmarks for mathematical reasoning. However, there is growing concern that some of this performance actually reflects dataset contamination, where data closely resembling benchmark questions leaks into the training data, instead of true reasoning ability. To investigate this claim rigorously, we commission Grade School Math 1000 (GSM1k). GSM1k is designed to mirror the style and complexity of the established GSM8k...

  • Ryan Heath
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    May 1st, 2024
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    webpage
    Ryan Heath
    May 1st, 2024

    The Pentagon is hitting the brakes on the new technology even as business is charging forward.

  • Ishaan Watts, Varun Gumma, Aditya Yadava...
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    May 1st, 2024
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    journalArticle
    Ishaan Watts, Varun Gumma, Aditya Yadava...
    May 1st, 2024

    Evaluation of multilingual Large Language Models (LLMs) is challenging due to a variety of factors – the lack of benchmarks with sufficient linguistic diversity, contamination of popular benchmarks into LLM pre-training data and the lack of local, cultural nuances in translated benchmarks. Hence, it is difficult to do extensive evaluation of LLMs in the multilingual […]

  • Danielle R. Thomas, Erin Gatz, Shivang G...
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    Apr 29th, 2024
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    preprint
    Danielle R. Thomas, Erin Gatz, Shivang G...
    Apr 29th, 2024

    Incorporating human tutoring with AI holds promise for supporting diverse math learners. In the U.S., approximately 15% of students receive special education services, with limited previous research within AIED on the impact of AI-assisted learning among students with disabilities. Previous work combining human tutors and AI suggests that students with lower prior knowledge, such as lacking basic skills, exhibit greater learning gains compared to their more knowledgeable peers. Building upon...

  • Sankalan Pal Chowdhury, Vilém Zouhar, Mr...
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    Apr 25th, 2024
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    preprint
    Sankalan Pal Chowdhury, Vilém Zouhar, Mr...
    Apr 25th, 2024

    Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent Tutoring Systems. A common pitfall of LLMs is their straying from desired pedagogical strategies such as leaking the answer to the student, and in general, providing no guarantees. We posit that while LLMs with certain guardrails can take the place of subject...

  • Nicolò Cosimo Albanese
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    Apr 20th, 2024
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    conferencePaper
    Nicolò Cosimo Albanese
    Apr 20th, 2024

    Ensuring fidelity to source documents is crucial for the responsible use of Large Language Models (LLMs) in Retrieval Augmented Generation (RAG) systems. We propose a lightweight method for real-time hallucination detection, with potential to be deployed as a model-agnostic microservice to bolster reliability. Using in-context learning, our approach evaluates response factuality at the sentence level without annotated data, promoting transparency and user trust. Compared to other...

  • Ji Yoon Jung, Lillian Tyack, Matthias vo...
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    Apr 8th, 2024
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    journalArticle
    Ji Yoon Jung, Lillian Tyack, Matthias vo...
    Apr 8th, 2024

    Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education. Despite these advancements, AI-powered automated scoring in international large-scale assessments (ILSAs) remains largely unexplored due to the scoring challenges associated with processing large amounts of multilingual responses. However, due to their low-stakes nature, ILSAs are an ideal ground for innovations and exploring new methodologies.

  • Cade Metz, Cecilia Kang, Sheera Frenkel,...
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    Apr 6th, 2024
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    newspaperArticle
    Cade Metz, Cecilia Kang, Sheera Frenkel,...
    Apr 6th, 2024

    OpenAI, Google and Meta ignored corporate policies, altered their own rules and discussed skirting copyright law as they sought online information to train their newest artificial intelligence systems.

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