This study aims to analyze the effect of the Collaborative Constructive approach on the quality of students’ mental models in the topic of the male reproductive system. The study employed a mixed-methods approach with an embedded experimental design and a quasi-experimental pretest-posttest control group design. The research sample consisted of 73 eleventh-grade students at a public senior high school in Cirebon City, with 37 students assigned to the experimental class and 36 students to the control class. The experimental class participated in Collaborative Constructive learning through worksheet exploration, group discussion, completion of incomplete concept maps, presentations, and concept clarification, whereas the control class received teacher-centered instruction. The research instrument was an open-ended essay test assessing the aspects of content, prediction, explanation, and drawing. The data were analyzed using normalized gain scores, the Mann-Whitney test, and qualitative analysis of changes in students’ responses. The results showed that the experimental class obtained a normalized gain score of 0.74, which falls into the high category, while the control class obtained a score of 0.51, categorized as moderate. The Mann-Whitney test indicated a significant difference in the improvement of mental models between the two classes. Qualitatively, the experimental class demonstrated a more directed shift in mental models toward scientific understanding, particularly in the aspects of content, prediction, and explanation, although the visual representation aspect still requires further reinforcement. These findings indicate that the Collaborative Constructive approach can support the reconstruction of students’ mental models in abstract and complex biological topics.
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.
Carmine Giardino, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 175 citations· ⚡19
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
It is found that roles of MVPs in startups were not fully aware by entrepreneurs, and entrepreneurs should consider a systematic approach to fully explore the value of MVP, as a multiple facet product (MFP).
Anh Nguyen-Duc, P. Abrahamsson· International Conference on...· 93 citations· ⚡9
It is found that what perceived as biggest challenges by software startups do vary across different life cycle stages, even though its significance decreases when the learning focuses of the startups move from problem to solution and their products mature.
Xiaofeng Wang, Henry Edison, Sohaib Shahid Bajwa et al.· International Conference on...· 62 citations· ⚡6
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Learn how Google Antigravity and our Cheminformatics Skills accelerate drug discovery workflows, search compounds, and propose novel rigidified macrocycles.
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.