Home / Current Issue / Paper 1724683
A Literature Review On Academia–Industry Collaboration Portal
Subject area: Science,Engineering and Technology · Area of research: Career Recommendation and Skills Gap Analysis
Abstract
Higher education institutions, students, employers, and placement offices often keep information about skills, training, vacancies, applications, and outcomes in separate systems. This can make it harder for students to identify skill gaps, for employers to clearly state eligibility rules, and for institutions to maintain consistent placement records. This paper presents a conceptual architecture for the Academia Industry Collaboration Portal, structured around a role-based project workflow. It brings student profiles and education documents, practical skills assessment, gap analysis, current opportunity recommendations, applications, industry training, institutional event requests, faculty–industry collaboration, placement reporting, and platform administration together through a shared backend and database. The design distinguishes assessed evidence from self-reported skills, mandatory eligibility from match rankings, uploaded documents from verified documents, and role-based access from unrestricted visibility. The platform must clearly define each percentage, including its inputs and calculation. Recommendations are limited to active, published opportunities, and access depends on role and purpose. Relevant literature informs the design choices. The paper also outlines a design-science approach for building and evaluating the artifact in future work. The workflow remains a proposed specification; this paper reports no implemented platform, user study, or performance results. The contribution is an architecture for examination, implementation, and empirical evaluation in higher education.
Keywords
academia–industry collaboration; skill mapping; competency assessment; skill gap analysis; graduate employability; internship management; placement support; career recommendation; role-based access
References
[1] Eimer A, Bohndick C. Employability models for higher education: A systematic literature review and analysis. Social Sciences & Humanities Open. 2023;8(1):100588. https://doi.org/10.1016/j.ssaho.2023.100588
[2] Scandurra R, Kelly D, Fusaro S, Cefalo R, Hermannson K. Do employability programmes in higher education improve skills and labour market outcomes? A systematic review of academic literature. Studies in Higher Education. 2024;49(8):1381–1396. https://doi.org/10.1080/03075079.2023.2265425
[3] Seesukong S, Angskun T, Keandoungchun N, Thippongtorn A, Angskun J. CARIA: A personalized career recommender based on individual competency similarity measure. International Journal of Information and Communication Technology Education. 2024;20(1). https://doi.org/10.4018/IJICTE.356499
[4] Sillat LH, Tammets K, Laanpere M. Digital competence assessment methods in higher education: A systematic literature review. Education Sciences. 2021;11(8):402. https://doi.org/10.3390/educsci11080402
[5] Kumar D, Grosz T, Rekabsaz N, Greif E, Schedl M. Fairness of recommender systems in the recruitment domain: An analysis from technical and legal perspectives. Frontiers in Big Data. 2023;6:1245198. https://doi.org/10.3389/fdata.2023.1245198
[6] Guo H, Zhang M, Ko AJ, Li M, Zhou B, Lim J, et al. Measuring students’ programming skill via online practice. In: Proceedings of the 8th Educational Data Mining in Computer Science Education Workshop (CSEDM’24); 2024.
[7] OECD. Data and technology governance: Fostering trust in the use of data. In: OECD Digital Education Outlook 2023. Paris; 2023. https://doi.org/10.1787/c74f03de-en
How to cite this paper
@article{1724683,
author = {Shravani Arun Khade, Janhavi Mahesh Mane, Riya Praveenkumar Patil, Sakshi Gajanan Mangure, Kajal Chandrakant Bohara},
title = {A Literature Review On Academia–Industry Collaboration Portal},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {5},
pages = {657-666},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1724683.pdf},
abstract = {Higher education institutions, students, employers, and placement offices often keep information about skills, training, vacancies, applications, and outcomes in separate systems. This can make it harder for students to identify skill gaps, for employers to clearly state eligibility rules, and for institutions to maintain consistent placement records. This paper presents a conceptual architecture for the Academia Industry Collaboration Portal, structured around a role-based project workflow. It brings student profiles and education documents, practical skills assessment, gap analysis, current opportunity recommendations, applications, industry training, institutional event requests, faculty–industry collaboration, placement reporting, and platform administration together through a shared backend and database. The design distinguishes assessed evidence from self-reported skills, mandatory eligibility from match rankings, uploaded documents from verified documents, and role-based access from unrestricted visibility. The platform must clearly define each percentage, including its inputs and calculation. Recommendations are limited to active, published opportunities, and access depends on role and purpose. Relevant literature informs the design choices. The paper also outlines a design-science approach for building and evaluating the artifact in future work. The workflow remains a proposed specification; this paper reports no implemented platform, user study, or performance results. The contribution is an architecture for examination, implementation, and empirical evaluation in higher education.},
keywords = {academia–industry collaboration; skill mapping; competency assessment; skill gap analysis; graduate employability; internship management; placement support; career recommendation; role-based access},
month = {November},
}