The impact of Family Medicine in medical undergraduate programs: apprenticeship centered in continuity and primary attention. The experience of the outpatient department of Family... by Adriana F. T. Roncoletta

“…This model allows students to incorporate the “core values” of Family Medicine: – the importance of seeing patients as a whole, the development of humanistic attitudes, and the construction of therapeutic relationships. Continuity favors learning in these aspects, and it also helps them to surpass stereotypes that might damage the empathy and precise clinical judgment, essential qualities for the development of professionalism. …”
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USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION by O. Dutsiak, V. Yuzevych

“…In this work, the main attention was focused on the study of a sub-method of machine learning, which is called learning with emphasis, with a view to optimizing the flight of a UAV by optimizing the process of constructing its path. …”
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A Multi-Institutional Study Regarding the Perceptions of Students and Faculty Members About Constructive Feedback for Medical Students in Medical Education by Fatteh R, Phayo Y, Raza MM, Naing TT, Phyo Z, Arja SB

“…For the quantitative phase, 75 students of Phase I, M.B.B.S. program, 28 faculty from DSMA. 63 students of the M.D. program, and 13 faculty from AUSOM responded to the questionnaire survey. …”
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“Sit like a lady”: Gender-related sociocultural constructs and implications for anterior cruciate ligament injury risk in active women by Katherine F. Wilford, Vaishnavi Chiddarwar, Troy L. Hooper, C. Roger James, Toby Brooks, Gesine H. Seeber, Phillip S. Sizer

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Role of departmental support structures and self-efficacy on physics student persistence: An examination of students’ experience from 19 physics graduate programs by Diana Sachmpazidi, Ben Van Dusen, Charles Henderson

“…Science, technology, engineering, and mathematics (STEM) graduate and doctoral programs experience consistently high attrition rates. …”
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Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in China by Chen Wang, Changqi Xiao, Xuejiao Zhang, Yingying Zhu, Xueqing Chen, Yilin Li, Huiying Qi

“…Abstract Background In interdisciplinary general education courses, medical students face the daunting challenge of learning programming due to academic pressure, cognitive biases, and differences in thinking patterns. …”
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Development of the PeeR Investigators Mentoring Experiences in Research (PRIMER) program: a peer mentoring initiative to increase mentoring in CUREs by Samuel H. Neely, Raquel Meyer Nunes, Arlene Garcia, Charles Donate, Rocio Benabentos, Melissa McCartney, Jessica Siltberg-Liberles

“…PRIMERs, who consist of current undergraduates and recent graduates of our program, undergo training on engaging students in research, peer mentoring, and providing constructive feedback on written assignments. …”
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Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

“…The authors design this model using algorithms–sets of rules that enable programs to make decisions, recognize patterns, and generate predictions based on input data relevant to the learning and cognitive processes of university subjects. …”
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A Framework for Doing Things in a Good Way: Insights on Mshiikenh (Freshwater Turtle) Conservation Through Weaving Western Science and Indigenous Knowledge in Whitefish River First... by Reta Lingrui Meng, Alexis McGregor, Deborah McGregor, Lorrilee McGregor, Keith Nahwegahbow, Patricia Chow‐Fraser

“…ABSTRACT Co‐developed conservation programs for Species At‐Risk, created in partnership between Indigenous Nations and non‐Indigenous researchers, represent a vital shift toward effective species recovery strategies that are culturally respectful and contribute to reconciliation within the natural sciences. …”
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Lifelong Learning Needs of Methodist Preachers: A Quantitative Assessment by Darryl W. Stephens, Megan Mullins, Ryan P. Castillo

“…Thus, lifelong learning programs must make the case for how the required time and energy will benefit the preacher participating in such programs. …”
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DEVELOPING LANGUAGE ASSESSMENT LITERACY OF FILIPINO PRE-SERVICE TEACHERS: REFLECTIONS FROM A LANGUAGE ASSESSMENT COURSE by Holden Kenneth G. Alcazaren

“…With several findings indicating insufficient or impractical assessment components in many of these programs, academics and teachers alike agreed with the significance of developing pre-service teachers’ LAL to reinforce their theoretical knowledge and practical skills of assessment which would enable them to effectively construct and administer language assessments. …”
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Peculiarities in Distance Learning of Foreign Language Using Moodle Platform by Iryna Hontarenko

“…Technically, e-Learning system is constructed on the basis of a wide range of software products. …”
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Deep learning based stacking ensembles for tropical sorghum classification by Muhammad Aqil, Muhammad Azrai, Roy Efendi, Nining Nurini Andayani, Suwardi, Bunyamin Zainuddin, Suarni, Herawati, Andi Irma Damayanti, Muhammad Jihad, Syafruddin, Ramlah Arief, Paesal, Yustisia, Rahman

“…This research integrates deep learning with a stacking ensemble approach to develop a rapid and accurate method for sorghum seed classification, supporting breeding programs, seed production, and on-farm varietal identification. …”
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RETRACTED ARTICLE: Determining the role of innovative teaching practices, sustainable learning, and the adoption of e-learning tools in leveraging academic motivation for students’... by Jiuxiang Li, Rufeng Wang

“…Conclusion The research’s conclusions can help the policy makers creating successful educational initiatives and programs that promote students’ overall growth. These results can also guide the university administration and teachers to adopt effective policies and practices for creating academic motivation in order to construct a healthy environment not just for better academic results but also for the well-being of students. …”
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Innovation in the blue economy and environmental sustainability in marine and fisheries strategy by S.W. Trenggono, I. Meilano, H. Latief, S.D. Diantara, W. Sakti, D.G.K. Ketaren, I.N.P. Winata, T. Yuwono, Syamdidi , F.Y. Arthatiani, K. Kasim, I.N. Radiarta

“…This study examines the implementation of the Ministry's fisheries blue economy initiatives, aiming to formulate future strategies based on lessons learned from two years of execution.METHODS: To assess the implementation of these key initiatives, participatory approaches, including focus group discussions, semi-structured interviews, and key informant interviews, were utilized to gather insights into program implementation experiences and lessons learned. …”
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Showing What They Know: How Supervisors Express Their Assessment Literacy by Erin Riley-Lepo, Nicole Barnes, Helenrose Fives

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La construction d’une exception territoriale : L’éducation à la nature par les classes de mer finistériennes by Fabien Clouette, Emmanuelle Peyvel

“…While fitting the current institutional requirements by promoting the construction of a standardized relationship with nature (sustainable development, eco-citizenship), this territory-based approach also emphasizes a unique framing of nature within which students experience and learn.…”
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Learning to Teach and Professional Identity: Images of Personal and Professional Recognition by J. Alberto Fajardo Castañeda

“…The findings reveal that while the process of learning to teach is individually constructed and experienced, it is socially negotiated.…”
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Proof of Unidimensionality in Cognitive Test Instrument for Evaluation Science Learning by Rizki Nor Amelia, Septiko Aji, Kriswantoro Kriswantoro, Hesty Sukmasari

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Bayesian Q learning method with Dyna architecture and prioritized sweeping by Jun YU, Quan LIU, Qi-ming FU, Hong-kun SUN, Gui-xing CHEN

“…The algorithm mainly includes two parts: in the learning part, it models the transition function and reward function according to collected samples, and update Q value function by Bayesian Q-learning, in the programming part, it updates the Q value function by using prioritized sweeping and dynamic programming methods based on the constructed model, which can improve the efficiency of using the his-torical information. …”
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