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primary topic: SMART KB-RLB Evaluation Model for Interns’ Soft Skills Enhancement in The Industry–University Collaboration.

SMART KB-RLB Evaluation Model for Interns’ Soft Skills Enhancement in The Industry–University Collaboration.
type: Thesis
type: Article
abstract: This research aimed to 1) design the SMART KB RLB internship evaluation model susceptible to evaluate internship program soft skills enhancement in the Industry-University collaboration, 2) prove the model's feasibility and effectiveness, 3) determine the model’s instruments' psychometric quality, 4) demonstrate interns’ soft skills enhancement in the industry–Universitas Negeri Yogyakarta collaboration, and 5) prove the level of TPACK integration in the internship program. This is an R&D project that merges the evaluator’s brand KB with SMART data analysis using the Fuzzy C-Means Machine Learning algorithm with R-Reaction, L- Learning, and B-Behaviour (henceforth, KB-RLB) to develop a higher education internship program evaluation model. As the focus was on general soft skills enhancement, the research took place at Yogyakarta State University, specifically in the Faculty of Languages, Arts, and Culture (FLAC), within the English Literature and Indonesian Literature Study Programs. The research subjects included interns, academic supervisors, and internship coordinators (n = 120). The data collection techniques included a questionnaire, a situational judgement test (SJT), and documentation. RStudio version 2025.09.2+418 was used to analyse quantitatively the psychometric validation (CTT, IRT, CFA) and fuzzy C‑means clustering to profile interns’ mastery of soft skills, while data reduction, condensation, and verification were used to analyse the qualitative data. The R&D research results indicate that the SMART KB-RLB model design 1) includes the following components: reaction, learning of seven soft skills, behaviour, TPACK integration, instruments that satisfy psychometric properties standards, Feedback, and SMART Data Analysis through algorithmic interns’ soft skills mastery clustering, all of which enable program recommendations. The model is found to be 2) feasible as it can be logistically and contextually applied in a real-world internship program soft skill…
date: 2026-01-29
status: published
author list: authors
type: EPrint
type: ThesisEPrint
is part of: repository
has document: SMART KB-RLB Evaluation Model for Interns’ Soft Skills Enhancement in The Industry–University Collaboration. (Text)
subject: Pendidikan Tinggi
subject: Evaluasi Pendidikan

SMART KB-RLB Evaluation Model for Interns’ Soft Skills Enhancement in The Industry–University Collaboration. (Text)
type: Document

Sekolah Pascasarjana
type: Organization

Penelitian dan Evaluasi Pendidikan, Sekolah Pascasarjana
type: Organization

Nur Hidayanto Pancoro Setyo Putro
type: Person
given name: Nur Hidayanto Pancoro Setyo
family name: Putro

Oscar Ndayizeye
type: Person
given name: Oscar
family name: Ndayizeye

HTML Summary of #90799 SMART KB-RLB Evaluation Model for Interns’ Soft Skills Enhancement in The Industry–University Collaboration.
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primary topic: SMART KB-RLB Evaluation Model for Interns’ Soft Skills Enhancement in The Industry–University Collaboration.

Pendidikan Tinggi
type: Concept

Evaluasi Pendidikan
type: Concept