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This systematic literature review examines research trends in problem-based learning (PBL) within blended learning contexts by analyzing 64 peer-reviewed articles from Scopus database published between2020-2024. Using PRISMA methodology, this study identifies key patterns including the dominance of medical education contexts (71.9%), the significant impact of COVID-19 pandemic on pedagogical innovations, and the prevalence of experimental research designs (34.4%). Findings reveal that blended learning emerged as the most researched approach (61%), followed by online/distance learning (23%) and flipped classroom models (11%). The analysis indicates increasing publication trends in 2022 and 2024, with Education Sciences and BMC Medical Education as leading publication venues. This review highlights research gaps in engineering and technology education contexts, limited exploration of long-term learning outcomes, and insufficient mixed-methods studies. These findings provide valuable insights for educators, researchers, and policymakers in designing effective learning strategies that integrate problem-based and blended learning approaches in diverse educational settings.

The research intends to formulate an integrative approach for designing the Merdeka Curriculum based on Deep Learning in the Economics subject at SMA N 1 Boyolali. The rapid advancement of digital technology demands more adaptive, contextual, and student-centered learning models aligned with 21st- century competencies. Using a an exploratory research approach supported by a structured assessment of prior studies (SLR), this research synthesizes theoretical perspectives and previous studies related to curriculum design, deep learning, and educational innovation. The results reveal that the incorporation of Deep Learning into the Merdeka Curriculum offers a more responsive and data-driven framework, enabling deeper conceptual understanding, critical thinking, and problem-solving skills in Economics learning. However, several challenges were identified, including teachers limited digital competence, insufficient infrastructure, and minimal curriculum innovation training. The study emphasizes the significance of combining technological and pedagogical innovation to strengthen learning quality. The results provide a conceptual model that educators can adopt to design an adaptive curriculum aligned with students’ characteristics and contemporary educational demands.

This study aims to determine the differences in problem-solving and critical thinking skills between students taught using the Reciprocal Teaching and Problem-Based Learning models in class X of SMK Ki Hajar Dewantara Kotapinang for the 2021-2022 academic year. This is a quantitative study using a quasi-experimental design. The population consists of all class X students at SMK Ki Hajar Dewantara Kotapinang in the 2021-2022 academic year, totaling 111 students. The sample used was class X AKUNTANSI 1 and X AKUNTANSI 2, each consisting of 20 students, chosen as experimental classes using Cluster Random Sampling. Data were collected from pre-tests and post-tests with problem-solving and critical thinking skill test items, then analyzed descriptively and followed by Two-Way ANOVA. The findings indicate: 1) There is no difference in problem-solving ability between students taught using the Reciprocal Teaching model and the Problem-Based Learning model in class X of SMK Ki Hajar Dewantara Kotapinang, with F_observed = 0.320 < F_table(α= 0.05) = 3.978; 2) There is a difference in critical thinking skills between students taught using the Reciprocal Teaching model and the Problem-Based Learning model in class X of SMK Ki Hajar Dewantara Kotapinang, with F_observed = 5.128 > F_table(α= 0.05) = 3.978; 3) There is a difference in both problem-solving and critical thinking skills between students taught using the Reciprocal Teaching model and the Problem-Based Learning model in class X of SMK Ki Hajar Dewantara Kotapinang, with F_observed = 0.026 > F_table(α= 0.05) = 3.936; 4) There is no interaction between the Reciprocal Teaching and Problem-Based Learning models in class X of SMK Ki Hajar Dewantara Kotapinang, with F_observed = 0.459 < F_table(α= 0.05) = 3.936.

Information technology is a technology used to manage data, including processing, acquiring, organizing, storing, and manipulating data in various ways to produce high-quality information—namely, information that is relevant, accurate, and timely. This information is used for personal, business, and governmental purposes, serving as strategic information in decision-making. To anticipate changes in weather conditions, particularly rainfall, a valid and accurate report is needed that can be useful for the public. So far, the correlation or relationship between the factors influencing weather conditions—especially rainfall—has not been precisely determined, making it mathematically difficult to create a model that can describe the correlation among all these factors. This is where Artificial Neural Networks (ANN) come into play: to create such models and map out the existing problems purely based on the input data provided. One of the capabilities of neural networks is to make predictions based on previously learned data using the backpropagation method.

Entrepreneurship plays a crucial role in driving economic growth, with individual entrepreneurial intentions serving as a key supporting factor. Despite this, student involvement in entrepreneurial endeavors remains relatively low. This research seeks to examine how emotional intelligence and self-leadership influence entrepreneurial intentions among students at the University of Lampung. Employing a quantitative method with a causal approach, the study gathered primary data through questionnaires distributed to 183 sixth-semester students across various faculties. The research instruments underwent validity, reliability, and normality testing, and the data were analyzed using multiple linear regression. The findings confirmed the proposed hypotheses. Based on these results, the study recommends that higher education institutions, particularly the University of Lampung, implement character development initiatives and foster a positive student mindset. It also suggests creating more opportunities for reflection and open dialogue, incorporating problem-based learning models, and providing training in persuasive communication and soft skills. Furthermore, it emphasizes the importance of enhancing entrepreneurship curricula with practical experiences such as business incubators and simulations, while also improving student access to entrepreneurial support systems, including funding, mentoring, and market networks. These measures aim to boost student confidence in launching businesses and to strengthen the campus entrepreneurial ecosystem.