This study aimed to look into the correlation between the use of Instagram and TikTok and mental clutter among students of Al Ain University. The descriptive-correlational design was used, and the data were gathered by questionnaire from 70 students. The results indicated that students used Instagram and TikTok moderately and that they perceived moderate influence on their concentration, academic focus and mental clarity. The research calls for university policies on digital wellness, awareness workshops, limiting the use of phones during studies and student support programs to mitigate the negative impact of overuse of social media on academic and psychological performance. The data were collected using a questionnaire consisting of two sections: the first deals with personal variables, and the second contains 15 items distributed over three main axes. The results showed that the degree of students’ use of social media programs was average, as students used these applications on a daily basis but moderately. The effect of excessive use of social media software on distraction was moderate, as students found it difficult to focus on their assignments due to excessive use of these applications. Regarding the suggestions to minimize negative impacts, students pointed out the importance of setting certain times to stay away from these applications while studying. The study concluded that students should be aware of the negative effects of excessive use of social media programs and provide strategies to reduce these effects. Quantitatively, the overall Instagram and TikTok use score was M = 2.21 (SD = 0.897), the perceived mental-clutter score was M = 2.28 (SD = 0.891), and the strategy score was M = 2.29 (SD = 0.831); the full questionnaire showed good internal consistency (Cronbach’s alpha = 0.85). One-sample tests against the three-point scale midpoint of 2.00 showed that perceived mental clutter, t(69) = 2.63, p = 0.011, and support for self-regulation strategies, t(69) = 2.92, p = 0.005, were significantly above the midpoint, whereas the social-media-use mean was marginal, t(69) = 1.96, p = 0.054.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
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
The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.
O. Salo, P. Abrahamsson· IET Software· 238 citations· ⚡9
Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· Journal of Systems and Softw...· 236 citations· ⚡13
The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.
P. Abrahamsson, Antti Hanhineva, H. Hulkko et al.· Conference on Object-Oriente...· 225 citations· ⚡18
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
A path, a fence, a knot. MindTopo sets a new benchmark for testing how AI understands topological relationships and highlights new opportunities to strengthen spatial reasoning and planning. The post MindTopo reveals VLMs’ spatial reasoning abilities appeared first on Microsoft Research.
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