cover
Contact Name
Irfan Nurdiansyah
Contact Email
eilt_editor@kalampractica.com
Phone
+6282115216307
Journal Mail Official
eilt_editor@kalampractica.com
Editorial Address
Jl Wagino Sidamulya, RT 03/09, Langensari, Langensari Banjar, West Java
Location
Kota banjar,
Jawa barat
INDONESIA
Educational Innovation and Learning Transformation
Published by Kalam Practica Media
ISSN : -     EISSN : 31251129     DOI : -
Core Subject :
Educational Innovation and Learning Transformation (EILT) is a peer reviewed journal published by Kalam Practica Media. The journal provides a platform for researchers, educators, policymakers, instructional designers, and learning practitioners to share rigorous research and field grounded insights on how education can evolve in response to changing social, technological, and workforce realities. EILT focuses on work that helps close the gap between evidence and implementation. The journal welcomes studies and practice informed contributions that explain not only what works, but also why it works, for whom, and under what conditions. Submissions are expected to be methodologically sound, ethically conducted, and written in a way that makes findings and implications accessible to diverse education stakeholders. EILT focuses on work that helps close the gap between evidence and implementation. The journal welcomes studies and practice informed contributions that explain not only what works, but also why it works, for whom, and under what conditions. Submissions are expected to be methodologically sound, ethically conducted, and written in a way that makes findings and implications accessible to diverse education stakeholders. Note: EILT is published four times a year, with issues released regularly in March, June, September, and December. Focus and Scope EILT considers manuscripts on topics that include, but are not limited to: Instructional design, learning sciences, and evidence based pedagogy Curriculum innovation, competency based education, and micro credentials Assessment and measurement, formative assessment, authentic assessment, and learning analytics Educational technology, blended and online learning, open educational resources, and responsible AI in education Teacher education, professional development, coaching, and communities of practice School and higher education leadership, governance, and change management Program evaluation, impact measurement, implementation research, and scaling effective practices Equity, inclusion, accessibility, and culturally responsive teaching Student engagement, motivation, wellbeing, and social emotional learning Lifelong learning, workforce learning, reskilling, upskilling, and corporate learning transformation Policy and systems reform, financing, accountability, and quality assurance STEM education and interdisciplinary learning innovations Higher order skills development, critical thinking, and 21st century skills EILT accepts a range of manuscript types, including original research articles, literature reviews such as systematic or scoping reviews, case studies, practice reports, instrument or model development papers, and conceptual articles that offer well argued frameworks grounded in relevant literature. Contributions that integrate researcher practitioner collaboration are strongly encouraged, especially when they provide clear implementation details, practical tools, or transferable lessons learned. EILT aims to support meaningful improvement in learning outcomes and learning experiences by publishing work that is both credible and usable, while strengthening the evidence base that informs educational practice and policy.
Arjuna Subject : -
Articles 15 Documents
Responsible AI Feedback in First-Year Writing Courses: Effects on Revision Quality, Self-Regulated Learning, and Academic Integrity Elena Moretti
Educational Innovation and Learning Transformation Vol. 2 No. 1 (2026): Educational Innovation and Learning Transformation (EILT)
Publisher : Kalam Practica Media

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Abstract

Generative artificial intelligence has rapidly entered higher education writing classrooms, yet many institutions remain uncertain about whether AI feedback should be prohibited, tolerated, or deliberately integrated into pedagogy. This study examines a responsible AI feedback model in first-year academic writing courses by comparing three feedback conditions: instructor-only feedback, AI-assisted feedback, and a guided hybrid model combining AI feedback with instructor mediation and explicit integrity instruction. Using a quasi-experimental mixed-methods design, the study followed 126 first-year students across three parallel writing course sections over an eight-week essay revision unit. Quantitative data included pre- and post-revision writing scores, a self-regulated learning scale, a feedback uptake index, and an academic integrity clarity scale. Qualitative data were drawn from student reflection logs, prompt records, and semi-structured interviews with 24 students. The simulated results indicated that the guided hybrid group showed the strongest improvement in revision quality, with an adjusted posttest mean of 82.6 compared with 76.8 in the instructor-only group and 78.4 in the AI-assisted group. The hybrid group also demonstrated higher feedback uptake, stronger monitoring of revision decisions, and clearer understanding of acceptable AI use. The findings suggest that AI feedback is most educationally valuable when embedded in transparent, human-supervised, feedback-literate pedagogy rather than used as an autonomous writing correction tool.
Micro-Credentials and Work-Integrated Curriculum Redesign in Vocational Education: An Evidence-Informed Framework for Hospitality and Digital Business Programs Rajesh Kumar
Educational Innovation and Learning Transformation Vol. 2 No. 1 (2026): Educational Innovation and Learning Transformation (EILT)
Publisher : Kalam Practica Media

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Abstract

Vocational education systems are under pressure to respond more quickly to changing skill demands while maintaining credible pathways into employment, further study, and lifelong learning. Micro-credentials have been promoted as flexible instruments for recognizing short, competency-focused learning, yet their value remains uneven when they are detached from curriculum coherence, industry validation, and authentic work-integrated assessment. This article develops an evidence-informed framework for redesigning vocational curricula through micro-credentials and work-integrated learning, with particular attention to hospitality and digital business programs. Using a conceptual framework development methodology, the study synthesizes peer-reviewed research, policy evidence, employer surveys, and work-integrated learning studies through a three-stage process: scoping, evidence mapping, and integrative framework construction. The results identify four mutually reinforcing domains: industry-aligned competency architecture, stackable credential design, workplace-integrated assessment, and learner navigation with equity safeguards. Empirical benchmark tables show that global skill transformation is accelerating, with the World Economic Forum reporting that 39 percent of key workforce skills are expected to change by 2030, while employer surveys indicate strong perceived value of micro-credentials but continuing concern about standardization and proof of effectiveness. Evidence from work-integrated learning further shows positive wage, employability, and interview effects when workplace learning is substantive rather than symbolic. The article argues that micro-credentials are most educationally valuable when they function as transparent units within a broader curriculum ecosystem, not as fragmented add-ons.
Equity-Oriented Learning Analytics for First-Year Retention in Hybrid Universities: Designing Early Alerts as Human-Centered Student Support Siti Aminah
Educational Innovation and Learning Transformation Vol. 2 No. 1 (2026): Educational Innovation and Learning Transformation (EILT)
Publisher : Kalam Practica Media

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Abstract

Hybrid universities increasingly rely on learning management systems, advising platforms, and digital engagement records to understand student progress, yet the educational value of learning analytics depends on whether data are translated into timely, equitable, and human-centered support. First-year retention is an urgent problem because early withdrawal often reflects not only academic difficulty but also belonging, financial pressure, digital access, advising gaps, and institutional responsiveness. This article develops and illustrates an equity-oriented learning analytics model for first-year retention in hybrid universities. The model integrates predictive risk identification, advising outreach, instructor feedback, student-facing dashboards, and equity audits. Using a mixed-methods quasi-experimental design, the model study involved 1,248 first-year students across hybrid gateway courses. Students in the intervention cohort received analytics-informed outreach, structured advisor follow-up, and student-facing progress guidance, while the comparison cohort received standard advising support. Published evidence shows that national first-year persistence and retention remain uneven, with the National Student Clearinghouse reporting 76.5 percent persistence and 68.2 percent same-institution retention for fall 2022 starters, while retention remains lower for Hispanic, Black, and Native American students. The simulated results show improved retention, course completion, and early help-seeking in the intervention cohort, with the strongest gains among students who received advisor contact within seven days of risk identification. The article argues that learning analytics should be evaluated not by prediction accuracy alone but by its capacity to trigger fair, explainable, and relational support.
Open Educational Resources and Gateway Course Redesign: Reducing Student Costs While Sustaining Learning Quality Jorge Castillo
Educational Innovation and Learning Transformation Vol. 2 No. 1 (2026): Educational Innovation and Learning Transformation (EILT)
Publisher : Kalam Practica Media

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Abstract

The rising cost of course materials creates a persistent barrier to equitable participation in higher education, particularly in high-enrollment gateway courses where textbook access shapes early academic momentum. Open Educational Resources (OER) are often promoted as a cost-saving solution, yet their strongest educational contribution may emerge when they are used to redesign gateway courses rather than merely replace commercial textbooks. This article examines how OER can reduce student costs while sustaining or improving learning quality through an evidence-informed gateway course redesign framework. Using a mixed-methods quasi-experimental model, the study illustrates an institutional redesign of five gateway courses enrolling 2,420 undergraduate students across biology, psychology, sociology, college algebra, and business foundations. The redesign combined no-cost OER adoption, faculty-led adaptation, assessment alignment, inclusive access design, and early-semester learning support. Published evidence indicates that OER generally produce learning outcomes comparable to commercial textbooks, with Clinton and Khan's meta-analysis reporting no meaningful difference in learning performance, g = 0.01, but lower withdrawal odds, OR = 0.71. Large-scale OER initiatives also show substantial affordability effects, including Achieving the Dream's $10.7 million in student savings across 38 community colleges and OpenStax's more than $3 billion in cumulative savings. The simulated results show reduced estimated course-material costs, lower DFW rates, stronger first-day access, and comparable or slightly improved learning outcomes. The article argues that OER should be understood as a lever for affordability, access, and pedagogical redesign.
Culturally Responsive Project-Based Stem Learning in Rural Schools: Effects on Belonging, Critical Thinking, and Local Problem-Solving Sarah Jenkins
Educational Innovation and Learning Transformation Vol. 2 No. 1 (2026): Educational Innovation and Learning Transformation (EILT)
Publisher : Kalam Practica Media

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Abstract

Rural schools are often represented through deficit narratives of limited resources, geographic isolation, and restricted access to advanced STEM opportunities. Although these barriers are real, rural communities also possess powerful assets for STEM learning, including local ecological knowledge, agricultural practices, water systems, small enterprises, land-based livelihoods, and intergenerational community expertise. This article develops and illustrates a culturally responsive project-based STEM learning model for rural secondary schools. The model connects disciplinary STEM standards with local problems such as water quality, soil health, waste management, crop resilience, renewable energy, and community infrastructure. Using a mixed-methods quasi-experimental model, the simulated study involved 612 students in Grades 7 to 9 across eight rural schools, with four schools implementing a twelve-week culturally responsive PBL STEM unit and four comparison schools continuing standard STEM instruction. Published evidence supports the model's plausibility: Chen and Yang's project-based learning meta-analysis reported an overall weighted effect size of d = 0.71 for academic achievement across 46 comparisons, while Dee and Penner found that culturally relevant ethnic studies increased attendance by 21 percentage points and GPA by 1.4 grade points in a causal study. The simulated intervention results show stronger gains in STEM achievement, critical thinking, belonging, and locally grounded problem-solving. The article argues that rural STEM transformation requires moving beyond access-to-STEM narratives toward asset-based, culturally responsive, community-connected learning.

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