274 resources

  • David Ifeoluwa Adelani, Jessica Ojo, Isr...
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    Jun 5th, 2024
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    preprint
    David 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...

  • Johanna Fleckenstein, Jennifer Meyer, Th...
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    Jun 1st, 2024
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    journalArticle
    Johanna 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…

  • Riordan Alfredo, Vanessa Echeverria, Yue...
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    Jun 3rd, 2024
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    journalArticle
    Riordan Alfredo, Vanessa Echeverria, Yue...
    Jun 3rd, 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,...

  • Jennifer Meyer, Thorben Jansen, Ronja Sc...
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    Jun 3rd, 2024
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    journalArticle
    Jennifer Meyer, Thorben Jansen, Ronja Sc...
    Jun 3rd, 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...

  • Jacob Steiss, Tamara Tate, Steve Graham,...
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    Jun 3rd, 2024
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    journalArticle
    Jacob Steiss, Tamara Tate, Steve Graham,...
    Jun 3rd, 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 3rd, 2024
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    journalArticle
    Lillian Tyack, Lale Khorramdel, Matthias...
    Jun 3rd, 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
  • Andrew D. Ho
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    May 9th, 2024
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    journalArticle
    Andrew D. Ho
    May 9th, 2024

    I review opportunities and threats that widely accessible Artificial Intelligence (AI)-powered services present for educational statistics and measurement. Algorithmic and computational advances continue to improve approaches to item generation, scale maintenance, test security, test scoring, and score reporting. Predictable misuses of AI for these purposes will result in biased scores, construct underrepresentation, and differential impact over time. Recent efforts to develop standards for...

  • 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 […]

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