AVELA - A Vision for Engineering Literacy & Access: Understanding Why Technology Alone Is Not Enough

• URL: http://arxiv.org/abs/2401.14581v2
• Date: Mon, 29 Jan 2024 18:46:16 GMT
• Title: AVELA - A Vision for Engineering Literacy & Access: Understanding Why Technology Alone Is Not Enough
• Authors: Kyle Johnson, Vicente Arroyos, Celeste Garcia, Liban Hussein, Aisha Cora, Tsewone Melaku, Jay L. Cunningham, R. Benjamin Shapiro, Vikram Iyer
• Abstract summary: We contextualize socio-technical access inequalities for Black and Latine urban communities. We present a holistic student-led STEM engagement model through AVELA - A Vision for Engineering Literacy and Access.
• Score: 6.584895094397623
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Unequal technology access for Black and Latine communities has been a persistent economic, social justice, and human rights issue despite increased technology accessibility due to advancements in consumer electronics like phones, tablets, and computers. We contextualize socio-technical access inequalities for Black and Latine urban communities and find that many students are hesitant to engage with available technologies due to a lack of engaging support systems. We present a holistic student-led STEM engagement model through AVELA - A Vision for Engineering Literacy and Access leveraging culturally responsive lessons, mentor embodied community representation, and service learning. To evaluate the model's impact after 4 years of mentoring 200+ university student instructors in teaching to 2,500+ secondary school students in 100+ classrooms, we conducted 24 semi-structured interviews with college AnonymizedOrganization members. We identify access barriers and provide principled recommendations for designing future STEM education programs.

Related papers

• 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)
• Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems [62.252355444948904]
  This paper presents the findings of a literature review on the integration of edge intelligence (EI) and socialized learning (SL) SL is a learning paradigm predicated on social principles and behaviors, aimed at amplifying the collaborative capacity and collective intelligence of agents. We elaborate on three integrated components: socialized architecture, socialized training, and socialized inference, analyzing their strengths and weaknesses.
  arXiv  Detail & Related papers  (2024-04-20T11:07:29Z)
• Bridging Gaps, Building Futures: Advancing Software Developer Diversity and Inclusion Through Future-Oriented Research [50.545824691484796]
  We present insights from SE researchers and practitioners on challenges and solutions regarding diversity and inclusion in SE. We share potential utopian and dystopian visions of the future and provide future research directions and implications for academia and industry.
  arXiv  Detail & Related papers  (2024-04-10T16:18:11Z)
• 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)
• The Security and Privacy of Mobile Edge Computing: An Artificial Intelligence Perspective [64.36680481458868]
  Mobile Edge Computing (MEC) is a new computing paradigm that enables cloud computing and information technology (IT) services to be delivered at the network's edge. This paper provides a survey of security and privacy in MEC from the perspective of Artificial Intelligence (AI) We focus on new security and privacy issues, as well as potential solutions from the viewpoints of AI.
  arXiv  Detail & Related papers  (2024-01-03T07:47:22Z)
• Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges [60.62904929065257]
  Large language models (LLMs) offer possibility for resolving this issue by comprehending individual requests. This paper reviews the recently emerged LLM research related to educational capabilities, including mathematics, writing, programming, reasoning, and knowledge-based question answering.
  arXiv  Detail & Related papers  (2023-12-27T14:37:32Z)
• Integrating Traditional CS Class Activities with Computing for Social Good, Ethics, and Communication and Leadership Skills [5.1868909177638125]
  Software and information technologies are becoming increasingly integrated and pervasive in human society. There is a growing awareness of the need to develop professionals who will harness these technologies in fair and inclusive ways.
  arXiv  Detail & Related papers  (2023-12-06T21:48:55Z)
• From Assistive Technologies to Metaverse: Technologies in Inclusive Higher Education for Students with Specific Learning Difficulties [3.653307171342612]
  Students with learning difficulties will be greatly benefited from the use of assistive technologies. We aim to conduct this review to better understand the role of assistive technologies in providing inclusive higher education for students with learning difficulties.
  arXiv  Detail & Related papers  (2023-05-05T05:20:21Z)
• Embedded Systems Education in the 2020s: Challenges, Reflections, and Future Directions [4.226118870861363]
  The need to train the next generation of embedded systems designers and engineers remains pressing today. This paper describes the evolution of embedded systems education over the past two decades and challenges facing the designers and instructors of embedded systems curricula in the 2020s.
  arXiv  Detail & Related papers  (2022-05-17T03:19:57Z)
• Assessment on LSPU-SPCC Students Readiness towards M-learning [0.0]
  The Commission on Higher Education said that colleges and universities following the new school calendar will no longer require students to attend face-to-face classes. This study aims to determine the readiness of the students in shifting to m-learning. It was determined that almost all of the students own mobile devices, are fully equipped with applications, have high technological skills and are quite ready in terms of psychological readiness.
  arXiv  Detail & Related papers  (2022-04-04T09:07:11Z)
• Towards Self-learning Edge Intelligence in 6G [143.1821636135413]
  Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging technological framework focusing on seamless integration of AI, communication networks, and mobile edge computing. In this article, we identify the key requirements and challenges of edge-native AI in 6G.
  arXiv  Detail & Related papers  (2020-10-01T02:16:40Z)

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.