Search
690 resources
-
Jacob Steiss, Tamara Tate, Steve Graham,...|Jun 1st, 2024|journalArticleJacob Steiss, Tamara Tate, Steve Graham,...Jun 1st, 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...
-
Using convolutional neural networks to automatically score eight TIMSS 2019 graphical response itemsLillian Tyack, Lale Khorramdel, Matthias...|Jun 1st, 2024|journalArticleLillian Tyack, Lale Khorramdel, Matthias...Jun 1st, 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...
-
Using convolutional neural networks to automatically score eight TIMSS 2019 graphical response itemsLillian Tyack, Lale Khorramdel, Matthias...|Jun 1st, 2024|journalArticleLillian Tyack, Lale Khorramdel, Matthias...Jun 1st, 2024
-
Rangga Alif Faresta|May 31st, 2024|journalArticleRangga Alif FarestaMay 31st, 2024
Artificial intelligence (AI) stands out as a relatively new yet rapidly expanding technological tool that is transforming the field of education. This paper examines the potential of Artificial Intelligence to assist students and teachers in personalised learning. The research methodology employed for this study is a literature review, providing an overview of the current knowledge on practical AI applications for personalised learning and insights into methodological developments in this...
-
Sarthika Dutt, Neelu Jyothi Ahuja|May 29th, 2024|journalArticleSarthika Dutt, Neelu Jyothi AhujaMay 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...
-
Mathilde Neugnot-Cerioli, Olga Muss Laur...|May 29th, 2024|preprintMathilde Neugnot-Cerioli, Olga Muss Laur...May 29th, 2024
This report explores the potential implications of rapidly integrating Artificial Intelligence (AI) applications into children's environments. The introduction of AI in our daily lives necessitates scrutiny considering the significant role of the environment in shaping cognition, socio-emotional skills, and behaviors, especially during the first 25 years of cerebral development. As AI becomes prevalent in educational and leisure activities, it will significantly modify the experiences of...
-
Osama Taani, Suzan Alabidi|May 28th, 2024|journalArticleOsama Taani, Suzan AlabidiMay 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,...
-
May 24th, 2024|webpageMay 24th, 2024
-
Moses Apie PhD Ewa|May 24th, 2024|journalArticleMoses Apie PhD EwaMay 24th, 2024
A descriptive survey was conducted to investigate whether an investment in artificial intelligence (AI) literacy predicts the enhancement of educators’ skills for them to be effective in an AI powered environment in state primary schools in Nigeria. Three research questions and null hypotheses were formulated at .05 level of significance for the study. 1000 teachers were recruited from across five schools located in five geopolitical zones of the country using cluster sampling. Artificial...
-
Juan D. Pinto, Luc Paquette|May 22nd, 2024|preprintJuan D. Pinto, Luc PaquetteMay 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...
-
Juan D. Pinto, Luc Paquette|May 22nd, 2024|preprintJuan D. Pinto, Luc PaquetteMay 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...
-
Juan D. Pinto, Luc Paquette|May 22nd, 2024|preprintJuan D. Pinto, Luc PaquetteMay 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|May 21st, 2024|newspaperArticleKevin RooseMay 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|reportMay 20th, 2024
This summary provides an overview of the U.S.
-
Irina Jurenka, Markus Kunesch, Kevin McK...|May 14th, 2024|reportIrina Jurenka, Markus Kunesch, Kevin McK...May 14th, 2024
-
Irina Jurenka, Markus Kunesch, Kevin McK...|May 14th, 2024|documentIrina Jurenka, Markus Kunesch, Kevin McK...May 14th, 2024
-
Jisu Kim, Juhwan Lee|May 13th, 2024|preprintJisu Kim, Juhwan LeeMay 13th, 2024
The rapid advancement of Large Language Models (LLMs) has improved text understanding and generation but poses challenges in computational resources. This study proposes a curriculum learning-inspired, data-centric training strategy that begins with simpler tasks and progresses to more complex ones, using criteria such as prompt length, attention scores, and loss values to structure the training data. Experiments with Mistral-7B (Jiang et al., 2023) and Gemma-7B (Team et al., 2024) models...
-
Andrew D. Ho|May 9th, 2024|journalArticleAndrew D. HoMay 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...
-
Yerin Kwak, Zachary A. Pardos|May 8th, 2024|journalArticleYerin Kwak, Zachary A. PardosMay 8th, 2024
The adoption of large language models (LLMs) in education holds much promise. However, like many technological innovations before them, adoption and access can often be inequitable from the outset, creating more divides than they bridge. In this paper, we explore the magnitude of the country and language divide in the leading open‐source and proprietary LLMs with respect to knowledge of K‐12 taxonomies in a variety of countries and their performance on tagging problem content with the...
-
Stephen Bezzina, Alexiei Dingli|May 6th, 2024|conferencePaperStephen Bezzina, Alexiei DingliMay 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...