Widodo , Widodo
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Role of the Life Skills Program in Increasing the Productivity of Golden Dragon Fruit Entrepreneurs Hidayah, Martin; Riyanto , Yatim; Widodo , Widodo
Edukasi Vol. 18 No. 1 (2024): Educational Technology, Non-formal Education
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukasi.v18i1.6845

Abstract

Education focuses more on subjects rather than life skills which play an important role in facing the complexity of the world of work. This research uses a descriptive qualitative research approach. The aim of the research is to explore the impact of the life skills education program on the productivity of golden dragon fruit entrepreneurs at Anggrek Bulan CLC in Banyuwangi. Through this program, it is hoped that entrepreneurs will be able to optimize their businesses, increase crop yields, and open up opportunities for business growth in a competitive market. This research was conducted at Anggrek Bulan CLC in Banyuwangi. The subjects in this research were managers and students of the golden dragon entrepreneurship program at Anggrek Bulan CLC in Banyuwangi. Data collection techniques use in-depth interviews, participant observation and documentation. The data validity technique used in this research is the triangulation technique. Next, the data analysis technique uses Miles and Hubermen analysis. The results of the research are 1) Increased Knowledge and Skills, the life skills education program provides opportunities for participants to gain the knowledge and skills needed to manage the Golden dragon fruit business more effectively. These include managerial, financial, marketing, and agricultural technical skills. 2) Relevance to Market Needs, participants are given insight into marketing strategies, product innovation and the latest technology that helps them remain competitive in an ever-growing market. 3) Involvement of External Parties, involving industry experts, successful entrepreneurs, and research institutions has enriched the program with additional experience and knowledge
A meta-analysis of computational thinking and artificial intelligence in education: impacts on students' problem-solving skills Husnah, Asmaul; Widodo , Widodo; Lapasau, Merry; Hasbullah, Hasbullah; Rohmah, Oom
Jurnal Konseling dan Pendidikan Vol. 13 No. 4 (2025): JKP
Publisher : Indonesian Institute for Counseling, Education and Therapy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/1187400

Abstract

Despite the rapid expansion of research on computational thinking (CT) and artificial intelligence (AI) in education, evidence on their comparative effects on students' problem-solving skills remains fragmented and inconsistent, underscoring the need for a systematic quantitative synthesis. This study conducted a systematic meta-analysis to examine and compare the effects of CT-based and AI-based instructional interventions on students' problem-solving performance. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, twenty-four empirical studies published between 2017 and 2025 were analyzed using a three-level random-effects meta-analytic model to account for within-study dependencies and heterogeneity. The results showed that CT-based instruction produced a statistically significant and consistent positive effect on problem-solving skills (pooled effect size = 0.30, p < 0.001), indicating high stability across educational contexts. AI-based instructional interventions yielded a larger pooled effect size (0.46, p < 0.001), although greater variability was observed across instructional designs and contexts. These findings suggest that CT strengthens analytical reasoning and systematic problem-solving processes, whereas AI enhances adaptive and reflective thinking through personalized learning support. The study contributes theoretically by clarifying the complementary roles of CT and AI in problem-solving development and practically by providing evidence-based guidance for designing effective technology-enhanced learning environments.