Evaluating the Effectiveness of SIWES Programs for Computer Science Students at Moshood Abiola Polytechnic, Abeokuta

• URL: http://arxiv.org/abs/2410.10838v1
• Date: Sun, 29 Sep 2024 22:53:59 GMT
• Title: Evaluating the Effectiveness of SIWES Programs for Computer Science Students at Moshood Abiola Polytechnic, Abeokuta
• Authors: Ganiyu Oladimeji,
• Abstract summary: This study examines the effectiveness of the Students Industrial Work Experience Scheme (SIWES) for Computer Science students at Moshood Abiola Polytechnic, Abeokuta. Through correlational analysis of various assessment components, including employer evaluations, student logbooks, and technical reports, the research aims to identify key factors contributing to student performance and skill development.
• Score: 0.0
• License:
• Abstract: This study examines the effectiveness of the Students Industrial Work Experience Scheme (SIWES) for Computer Science students at Moshood Abiola Polytechnic, Abeokuta. Through correlational analysis of various assessment components, including employer evaluations, student logbooks, and technical reports, the research aims to identify key factors contributing to student performance and skill development. The findings reveal strong correlations between employer evaluations, logbook quality, and overall performance, highlighting the importance of practical experience and documentation in the SIWES program. This research contributes to the ongoing discourse on the role of industrial training in higher education and provides recommendations for enhancing the SIWES experience for computer science students.

Related papers

• Quantifying the Effectiveness of Student Organization Activities using Natural Language Processing [0.0]
  This research study aims to develop a machine learning workflow that will quantify the effectiveness of student-organized activities. The study uses the Bidirectional Representations from Transformers (BERT) Large Language Model (LLM) called via the pysentimiento toolkit, as a Transformer pipeline in Hugging Face. The results show that the BERT LLM can also be used effectively in analyzing sentiment beyond product reviews and post comments.
  arXiv  Detail & Related papers  (2024-08-16T12:16:59Z)
• PICA: A Data-driven Synthesis of Peer Instruction and Continuous Assessment [0.0]
  The work herein combines PI and CA in a deliberate and novel manner to pair students together for a PI session in which they collaborate on a CA task. The motivation for this data-driven collaborative learning is to improve student learning, communication, and engagement.
  arXiv  Detail & Related papers  (2024-07-24T20:50:32Z)
• MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows [58.56005277371235]
  We introduce MASSW, a comprehensive text dataset on Multi-Aspect Summarization of ScientificAspects. MASSW includes more than 152,000 peer-reviewed publications from 17 leading computer science conferences spanning the past 50 years. We demonstrate the utility of MASSW through multiple novel machine-learning tasks that can be benchmarked using this new dataset.
  arXiv  Detail & Related papers  (2024-06-10T15:19:09Z)
• SurveyAgent: A Conversational System for Personalized and Efficient Research Survey [50.04283471107001]
  This paper introduces SurveyAgent, a novel conversational system designed to provide personalized and efficient research survey assistance to researchers. SurveyAgent integrates three key modules: Knowledge Management for organizing papers, Recommendation for discovering relevant literature, and Query Answering for engaging with content on a deeper level. Our evaluation demonstrates SurveyAgent's effectiveness in streamlining research activities, showcasing its capability to facilitate how researchers interact with scientific literature.
  arXiv  Detail & Related papers  (2024-04-09T15:01:51Z)
• Hybrid Active Teaching Methodology for Learning Development: A Self-assessment Case Study Report in Computer Engineering [0.0]
  The primary objective is to emphasize the merits of active methodologies and cross-disciplinary curricula in Requirement Engineering. This direction promises a holistic and applied trajectory for Computer Engineering education.
  arXiv  Detail & Related papers  (2024-02-08T19:42:37Z)
• Multi-Dimensional Evaluation of Text Summarization with In-Context Learning [79.02280189976562]
  In this paper, we study the efficacy of large language models as multi-dimensional evaluators using in-context learning. Our experiments show that in-context learning-based evaluators are competitive with learned evaluation frameworks for the task of text summarization. We then analyze the effects of factors such as the selection and number of in-context examples on performance.
  arXiv  Detail & Related papers  (2023-06-01T23:27:49Z)
• Understanding the role of single-board computers in engineering and computer science education: A systematic literature review [0.0]
  Single-Board Computers (SBCs) have been employed more frequently in engineering and computer science both to technical and educational levels. This systematic literature review explores how the SBCs are employed in engineering and computer science.
  arXiv  Detail & Related papers  (2022-03-30T18:34:03Z)
• Scaling up Search Engine Audits: Practical Insights for Algorithm Auditing [68.8204255655161]
  We set up experiments for eight search engines with hundreds of virtual agents placed in different regions. We demonstrate the successful performance of our research infrastructure across multiple data collections. We conclude that virtual agents are a promising venue for monitoring the performance of algorithms across long periods of time.
  arXiv  Detail & Related papers  (2021-06-10T15:49:58Z)
• Are Top School Students More Critical of Their Professors? Mining Comments on RateMyProfessor.com [83.2634062100579]
  Student reviews and comments on RateMyProfessor.com reflect realistic learning experiences of students. Our study proves that student reviews and comments contain crucial information and can serve as essential references for enrollment in courses and universities.
  arXiv  Detail & Related papers  (2021-01-23T20:01:36Z)
• Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper [50.25428141435537]
  Artificial Intelligence for IT Operations (AIOps) is an emerging interdisciplinary field arising in the intersection between machine learning, big data, streaming analytics, and the management of IT operations. Main aim of the AIOPS workshop is to bring together researchers from both academia and industry to present their experiences, results, and work in progress in this field.
  arXiv  Detail & Related papers  (2021-01-15T10:43:10Z)
• Effects of Internship on Fresh Graduates: A case study on IIT, DU students [2.6763498831034034]
  The aim of any curriculum is to produce industry ready students. The uniqueness of this SE syllabus is having a six month long internship semester inside the curriculum. The result shows that the students having internship experiences, performed above the level of expectation from the industries.
  arXiv  Detail & Related papers  (2020-08-03T07:31:51Z)

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.