AI-assisted Learning for Electronic Engineering Courses in High Education

• URL: http://arxiv.org/abs/2311.01048v1
• Date: Thu, 2 Nov 2023 07:48:10 GMT
• Title: AI-assisted Learning for Electronic Engineering Courses in High Education
• Authors: Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy Nguyen, Thanh Pham
• Abstract summary: The study includes the evaluation and reflection of different stakeholders: students, lecturers, and engineers. The findings of this study shed light on the benefits and limitations of ChatGPT as an AI tool, paving the way for innovative learning approaches in technical disciplines.
• Score: 2.67766280323297
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This study evaluates the efficacy of ChatGPT as an AI teaching and learning support tool in an integrated circuit systems course at a higher education institution in an Asian country. Various question types were completed, and ChatGPT responses were assessed to gain valuable insights for further investigation. The objective is to assess ChatGPT's ability to provide insights, personalized support, and interactive learning experiences in engineering education. The study includes the evaluation and reflection of different stakeholders: students, lecturers, and engineers. The findings of this study shed light on the benefits and limitations of ChatGPT as an AI tool, paving the way for innovative learning approaches in technical disciplines. Furthermore, the study contributes to our understanding of how digital transformation is likely to unfold in the education sector.

Related papers

• ChatGPT in Research and Education: Exploring Benefits and Threats [1.9466452723529557]
  ChatGPT is a powerful language model developed by OpenAI. It offers personalized feedback, enhances accessibility, enables interactive conversations, assists with lesson preparation and evaluation, and introduces new methods for teaching complex subjects. ChatGPT also poses challenges to traditional education and research systems. These challenges include the risk of cheating on online exams, the generation of human-like text that may compromise academic integrity, and difficulties in assessing the reliability of information generated by AI.
  arXiv  Detail & Related papers  (2024-11-05T05:29:00Z)
• From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents [78.15899922698631]
  MAIC (Massive AI-empowered Course) is a new form of online education that leverages LLM-driven multi-agent systems to construct an AI-augmented classroom. We conduct preliminary experiments at Tsinghua University, one of China's leading universities.
  arXiv  Detail & Related papers  (2024-09-05T13:22:51Z)
• Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants [175.9723801486487]
  We evaluate whether two AI assistants, GPT-3.5 and GPT-4, can adequately answer assessment questions. GPT-4 answers an average of 65.8% of questions correctly, and can even produce the correct answer across at least one prompting strategy for 85.1% of questions. Our results call for revising program-level assessment design in higher education in light of advances in generative AI.
  arXiv  Detail & Related papers  (2024-08-07T12:11:49Z)
• Revolutionising Role-Playing Games with ChatGPT [0.0]
  The aim of the study was to analyse the impact of AI-based simulations on students' learning experience. Based on Vygotsky's sociocultural theory, ChatGPT was used to give students a deeper understanding of strategic decision-making processes.
  arXiv  Detail & Related papers  (2024-07-02T08:21:40Z)
• The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering [1.120999712480549]
  This study aims to comprehensively analyze the pedagogical potential of ChatGPT in CSE education. We employ a systematic approach, creating a diverse range of educational practice problems within CSE field. According to our examinations, certain question types, like conceptual knowledge queries, typically do not pose significant challenges to ChatGPT.
  arXiv  Detail & Related papers  (2024-04-23T21:42:30Z)
• Large Language Models for Education: A Survey and Outlook [69.02214694865229]
  We systematically review the technological advancements in each perspective, organize related datasets and benchmarks, and identify the risks and challenges associated with deploying LLMs in education. Our survey aims to provide a comprehensive technological picture for educators, researchers, and policymakers to harness the power of LLMs to revolutionize educational practices and foster a more effective personalized learning environment.
  arXiv  Detail & Related papers  (2024-03-26T21:04:29Z)
• Economic and Financial Learning with Artificial Intelligence: A Mixed-Methods Study on ChatGPT [0.05152756192881158]
  This study explores ChatGPT's potential as an educational tool, focusing on user perceptions, experiences and learning outcomes. The study reveals a notable positive shift in perceptions after exposure, underscoring the efficacy of ChatGPT. However, challenges such as prompting effectiveness and information accuracy emerged as pivotal concerns.
  arXiv  Detail & Related papers  (2024-02-23T11:55:43Z)
• Bringing Generative AI to Adaptive Learning in Education [58.690250000579496]
  We shed light on the intersectional studies of generative AI and adaptive learning. We argue that this union will contribute significantly to the development of the next-stage learning format in education.
  arXiv  Detail & Related papers  (2024-02-02T23:54:51Z)
• Generative AI in Undergraduate Information Technology Education -- Insights from nine courses [1.1749291708577076]
  The capability of processing and generating text could bring change to several areas, such as learning assessments or learning experiences. Besides the negative impact, we also see a positive side that ChatGPT can bring to education.
  arXiv  Detail & Related papers  (2023-11-16T21:12:22Z)
• UKP-SQuARE: An Interactive Tool for Teaching Question Answering [61.93372227117229]
  The exponential growth of question answering (QA) has made it an indispensable topic in any Natural Language Processing (NLP) course. We introduce UKP-SQuARE as a platform for QA education. Students can run, compare, and analyze various QA models from different perspectives.
  arXiv  Detail & Related papers  (2023-05-31T11:29:04Z)
• Personalized Education in the AI Era: What to Expect Next? [76.37000521334585]
  The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses her weaknesses to meet her desired goal. In recent years, the boost of artificial intelligence (AI) and machine learning (ML) has unfolded novel perspectives to enhance personalized education.
  arXiv  Detail & Related papers  (2021-01-19T12:23:32Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.