Learning Time Research Articles

Level of Depression among Health Students at Al-Quds University

Background Students' physical and psychological well-being, particularly with a focus on depression, is a significant public health concern. Objective This study aims to explore the level of depression among health students at Al-Quds University. Methods In this assay, a cross-sectional study using a self-reporting questionnaire was conducted. To evaluate the degree of depression among students, the Beck Depression Inventory (BDI-II) was used. The sample comprised 357 students from Al-Quds University in the West Bank. Results The results of the study showed that depression impacted 40.3% of the subjects. Of these, 32% experienced moderate to severe depression symptoms, 24% had thoughts or wishes related to suicide, and 6.7% believed that death was the answer to their issues. The findings demonstrated that there were statistically significant variations in depression based on gender, age, study year, study geographical area, place of residence, level of religiosity, and thoughts of death (p < 0.05). Conclusion To protect their well-being, mental health professionals should advise students to seek assistance and therapy. University administrators should assist students in learning time management and stress-reduction strategies so they can finish their assignments and fulfill other course obligations.

Teachers Learning On-the-Job Through Participation in an Organizational Routine: A Comparative Case Study of Three Curriculum Materials Adoption Processes for Elementary Science

ABSTRACT There is limited time for elementary teacher professional learning in science in order to meet the aspirational goals of current reform efforts. In this study, we investigated what and how teachers learn on-the-job to gain insight into modes of support less often included in teacher education design. Specifically, we studied elementary teachers’ participation in a system-level organizational routine: curriculum materials adoption processes (CMAPs). Using a communities of practice framework, we explored teacher learning in a comparative case study of three U.S. school districts’ CMAP routines, observing CMAP committee meetings and interviewing participants about their expeirences. We found that what teachers learned varied across each district’s CMAP. We argue this variation can be traced to two CMAP features: (1) teachers’ use of boundary objects and (2) their boundary spanning roles and structures. Results have implications for the design of educational systems’ organizational routines to more intentionally serve a dual role as a professional learning opportunity.

Meningkatan Kemampuan Berpikir Kritis Siswa Kelas X Melalui Model Pembelajaran Problem Based Learning di SMK Pertukangan Santo Yusup

This Classroom Action Research (CAR) aims to improve the critical thinking skills of Grade X students at SMK Pertukangan Santo Yusup by applying the Problem-Based Learning (PBL) model. The background for this research is the previously low critical thinking skills of students, who tended to be passive and less actively involved in the learning process. The method used is Classroom Action Research (CAR) divided into two cycles, Cycle I and Cycle II, covering the stages of planning, implementation, observation, and reflection. In the first cycle, observation results showed that most students were still in the low category of critical thinking skills, with only a few reaching the "Proficient" category. After improvements in the second cycle, there was a significant increase. The number of students able to think critically in the "Proficient" category rose to 47%, and many students began to analyze, evaluate, and argue more effectively. The study also proved that the application of PBL increased students' active involvement in learning. They became more engaged in group discussions, problem-solving, and independent problem analysis. The classroom atmosphere also became more dynamic, with more positive interactions between students and between students and teachers. In conclusion, the PBL model is effective in improving students' critical thinking skills. The recommendations are to strengthen the implementation of PBL, develop relevant learning materials, provide sufficient time for learning, and conduct regular evaluations to ensure continuous improvement. With proper implementation, PBL can be further developed to help students hone their critical thinking skills.

Real-time Predictive Health Monitoring using Ai-driven Wearable Sensors: Enhancing Early Detection and Personalized Interventions in Chronic Disease Management

The use of artificial Intelligence in wearable health sensor has brought a great change in the way chronic diseases are being managed since it monitors the health and gives prompt prediction of diseases coupled with recommendations. This paper seeks to investigate the part played by AI wearables in augmenting early detection & proactive plans relating to chronic illnesses, including diabetics, cardiovascular diseases, and hypertension. Implicitly, the purpose of this study is to update the current understanding of the subject by examining the effect that predictive analytics has on patient outcomes and cost. Technologically, the concepts of the research rely on the data collected from different kinds of wearable devices and analyze by machine learning and real time analytic to examine the abnormal of vital signs before symptoms occur. Analysis is carried out on the outcomes which reveals a 25 percent decrease in hospitalization incidences per early diagnosis of chronic diseases and a 30 percent enhancement in the adherence to treatment provided formed by precautions embraced from various sensors data. This research also increases the stock of knowledge on the role of artificial intelligence in healthcare by presenting empirical evidence regarding the use of wearable devices in chronic diseases. The uniqueness of this concept is in the synchrony of monitoring processes with the application of the predictive model in providing proactive health care solutions. Some potential future research and development considerations in AI-assisted technologies in healthcare are also described.

Meningkatkan Motivasi Belajar Peserta Didik Kelas XI Fase F PAKBP Materi Mengembangkan Budaya Kasih melalui Model Pembelajaran PBL SMKN 11 Malang

This study aims to improve the learning motivation of students in Grade XI Phase F of Catholic Religious Education and Character Education on the material of developing a culture of love by using the Problem Based Learning learning model. This study is a type of PTK research carried out in two cycles. The subjects of the study were 7 students of grade XI of SMKN 11 Malang. The data collection technique in this study used a comparative descriptive method by comparing the results from cycle 1 to cycle II. In cycle 1, the percentage of student learning motivation was 43% in the category of starting to develop and 57% in the category of developing according to expectations. While in cycle II it increased by 14% in the category of starting to develop and 86% in the category of developing according to expectations. The increase in student motivation in learning also has an impact on student learning outcomes, where in cycle 1 it obtained a percentage of 57%, while in cycle II it increased by 86%. The results of the study prove that the application of PBL also proves that students are more actively involved in learning. They become more active in group discussions, find solutions, and are involved in solving problems independently. The classroom atmosphere also became more lively, with more positive interactions between students and students with teachers. It can be concluded that by using the Problem Based Learning learning model on the material of developing a culture of love for class XI Phase F, it can help students improve their motivation and learning outcomes in the subjects of Catholic Religious Education and Character Education. In conclusion, this PBL model is effective in improving students' critical thinking skills. The recommendation is to strengthen the application of PBL, develop relevant materials, provide sufficient time for learning, and conduct regular evaluations so that learning continues to run well. With proper implementation, PBL can continue to be developed to help students develop their critical thinking skills.

The Health Cost of College Expectations: Adolescent Educational Expectations and Obesity

Although previous studies have identified the effect of social environment and individual behavior on adolescent obesity in the field of social science, much less is known about the association between adolescent educational expectations and obesity. This article draws on China Education Panel Survey (CEPS) 2013 to 2014 to examine the relationship between adolescent educational expectations and BMI/obesity. Results show that adolescents with college expectations have higher BMI and higher risk of obesity. Learning time partially mediates the relationship between adolescent college expectations and obesity. Additionally, the association between adolescent college expectations and BMI/obesity is stronger for males and urban students. The findings indicate that higher educational expectations may lead to health problems. School and family should perceive the health cost of high educational expectations to promote adolescent all-around development.

Exploring self-directed learning readiness and related factors: the role of time management skills in nursing students

BackgroundPrevious studies have reported varying levels of self-directed learning readiness and time management skills among nursing students, and the relationship between these two skills has not been extensively explored. Consequently, this study aimed to assess self-directed learning readiness and its influencing factors, with a specific emphasis on the role of time management skills among nursing students.MethodsThis cross-sectional study involved the participation of 110 undergraduate nursing students who were conveniently recruited for the research. The data collection tools included a demographic information form, Fisher’s Self-Directed Learning Readiness questionnaire, and the Time Management Inventory developed by Britton and Tesser. The collected data were analyzed using STATA-14 statistical software.ResultsThe findings revealed that 96.4% of the nursing students demonstrated readiness for self-directed learning. The mean overall score for self-directed learning readiness was 162.3 ± 6.1 out of 200, indicating a relatively high level of readiness. The mean score for time management skills was 98.1 ± 5.0 out of 135, suggesting satisfactory proficiency in this area. In terms of the relationship between self-directed learning readiness and its associated factors, time management skills, academic probation history, grade point average, place of residence, and level of interest in the field of study collectively accounted for 9.2% of the variance in self-directed learning readiness. Among these factors, academic probation history, grade point average, and place of residence emerged as statistically significant predictors (P < 0.05).ConclusionsThe study findings indicate that the level of self-directed learning readiness and time management skills among the nursing students were considered acceptable. Academic probation history, grade point average, and place of residence emerged as significant predictors of self-directed learning readiness. These results highlight the importance of considering students’ academic background and living conditions to effectively enhance their level of self-directed learning readiness. Further research is recommended to explore additional factors that may influence self-directed learning readiness among nursing students.

Leveraging machine learning and Landsat time series for high-resolution mapping of mining-induced vegetation changes in Ouagadougou, Burkina Faso

Quarries are open pit mines, where construction materials such as granite and clay are extracted from the earth's surface, leading to a major disturbance of vegetation and subsequent degradation of ecosystem services. Assessing mining-associated degradation over time remains a challenge. This paper uses a temporal series of Landsat satellite image extracted from Google Earth Engine (GEE) for monitoring mining effects on land cover around the West African city of Ouagadougou, Burkina Faso. We conducted a binary classification of quarry and non-quarry using Landsat 9 images. To account for varying quarry patterns, we applied the LandTrendr algorithm to analyze images from 1990 to 2022, mapping annual vegetation disturbance and recovery. This generated high-resolution land cover maps with over 90 % accuracy across 257 quarries (38 km²). LandTrendr identified disturbance years with 87 % accuracy and assessed recovery in abandoned quarries. Remote sensing accuracy was validated through fieldwork and analysis of historical aerial photos. Our findings revealed that major disturbances coincided with new quarrying activities, particularly during urban expansion from 2005 to 2019, with NDVI decreasing by 0.3 in active mining areas. Vegetation recovery was observed in 23 % of the abandoned quarries, with NDVI increases by 0.15 within five years post abandonment, particularly in clay quarries. The strongest recovery occurred in given up abandoned from 2015 to 2019, aligned with increased conservation efforts. Our approach offers valuable insights into mining impacts and vegetation resilience in semi-arid environments, informing sustainable urban planning and environmental management in rapidly transforming regions of West Africa.

If You're So Successful, Why Are You Still Working 70 Hours a Week? Exploring the Costs and Benefits of an Always-On Work Culture

This article explores the costs and benefits of working excessively long hours through an analysis of academic research and real-world industry examples. It argues that while dedication and hard work have driven success initially for many professionals, an "always on" culture risks normalizing unsustainable practices that undermine well-being in the long run. extensive research documents the negative impacts of chronic overwork on physical health, mental health, job satisfaction, and productivity. However, evidence also suggests that balanced boundaries between work and personal life can yield individual rewards like reduced stress and organizational rewards like stronger engagement and innovation. The article provides strategies for professionals and leaders to strike a balance appropriate for their context, through mechanisms like clearly communicating expectations, measuring outcomes over hours, guarding time for learning and relationships, and role modeling boundaries. With care and intention, even competitive industries can promote sustainable success over the long term.

Learning Effects of Mechanical Ventilator/Tracheal Suctioning XR Simulators and Extracting Decision Making Criteria to Introduce a Novel Simulator

Researchers have developed Simmar+ESTE-SIM, a XR simulator that can train the multitask of “endotracheal suctioning for a patient with a mechanical-ventilator’’ as part of support for Technology-dependent children in the community. In this study, we conducted a questionnaire after using the simulator with the aim of extracting the learning effects of the simulator and judgment indicators when introducing a new simulator, based on feedback from 4th grade university students and the faculty members. As a result, both groups tended to score low on the question of whether the content was appropriate for learning in the third year, but the scores were generally high, at 3.0 or higher. The training task “endotracheal suctioning for a patient with mechanical respirator” was slightly early in 3rd grade students, and the appropriate timing was shown to be for 4th grade students. Principal component analysis extracts two principal components: “Balance between learning content difficulty and motivation (Achievability)” and “Balance between learning time, cost, and learning effect (Feasibility)”. These two factors were thought to be the promoting and inhibiting factors when introducing a simulator. The future challenge is to popularize the simulator education program which is both achievable and feasible to improve the quality of care for children with home-ventilators and their families.

Exploring Effective Paths for Artificial Intelligence to Empower Freshmen's Autonomous English Learning in an “Internet Plus” Environment

In the environment of "Internet plus", the combination of artificial intelligence technology and education has broken the time and space limitations of autonomous learning, subversively changed the way students learn, and brought more possibilities and challenges to both teachers' "teaching" and students' "learning". It brings more possibilities and challenges for both teachers' "teaching" and students' "learning". This study takes the freshmen non-English majors of Beijing Institute of Petrochemical Technology as the research object, based on the multiple intelligences theory and the constructivist learning theory, investigates the status and ability of freshmen's autonomous learning of English in the context of the era of "Internet plus", and explores the effects of the learning tools and learning environments supported by the new technology of artificial intelligence on students’ autonomous learning ability and learning effect. It explores the impact of learning tools and learning environment supported by the new technology of artificial intelligence on students’ autonomous learning ability and learning effect, so as to further explore the effective path to improve students' English autonomous learning ability. It provides empirical data support and suggestions for autonomous learning research and university English teaching, and facilitates teachers to make scientific adjustments in the selection of teaching content, monitoring of teaching platforms, design of teaching activities, and application of teaching methods to promote the improvement of students' autonomous learning ability, and at the same time, it also helps students to identify their problems in autonomous learning, find effective paths to solve the problems, and improve their learning efficiency.

Assessing the Recreational Fishers and their Catches based on Social Media Platforms: Privacy and Ethical Data Analysis Considerations

Social Media (SM) can offer insights to track recreational Fishing (Rf); Many Limitations Hinder Its Practical Application. The proportion and characteristics of RFs that share their catches remain unidentified. The objective was to enhance the surveillance abilities of RF by utilizing SM information. This study focuses on the sharing economy information transmission, network optimization of SM platforms, and privacy protection issues during data transmission. The study starts with the data transmission characteristics in SM platforms, analyzes the data ethics in SM information transmission from the perspectives of natural and economic data attributes, and then focuses on the privacy protection principles in network information transmission. Then, a privacy protection scheme based on a locally sensitive hash algorithm is constructed, and finally, an information transmission scheme and method optimization based on a network optimization module are proposed. The research gathered data using physical (face-to-face) surveys and digital (email) surveys to define marine RF that post catches on online platforms (“sharers”), together with additional demographic and fishing data. A comparative analysis was conducted on the computational convergence and accuracy of different privacy protection methods, and the optimal rule framework for data privacy protection was discussed. The observation results show that the efficiency of information transmission using the Minhash-SSNR method is slightly inferior to that using the OSNR-SSNR method. Minhash technology is based on a similarity comparison of dimensionality-reduced data. This leads to data causing the initially highly similar two sets of lists to be misjudged as not having enough similarity, thereby reducing some potential information dissemination opportunities and affecting the efficacy of information transmission. It can be seen that the Minhash-SSNR strategy can effectively send information to nodes with high similarity, preventing excessive information duplication within the system. Although the Minhash-SSNR strategy has a certain degree of decline in information transmission efficiency, it accounts for only about 5% compared to the OSNR-SSNR strategy, ensuring the essential operational stability of SM opportunity networks without significant impact. With few learning and training times, the network information transmission optimization module proposed in this study quickly achieved a lower exponential error. As the number of training sessions gradually increases, the exponential error of the network information transmission optimization module in this study is small, and the prediction accuracy of the method is high. RFs who captured a prize, iconic, or symbolic species tended to discuss their catches more. This research signifies significant progress in incorporating SM information to oversee RFs.

EFL TEACHING IN INDONESIA ELEMENTARY SCHOOL: INSIGHTS INTO GENERATION Z

With an emphasis on the needs of students in Generation Z, this study investigates the English instruction methods used at Elementary School in Indonesia. This study examines the materials and approaches utilized to successfully teach English, which is becoming increasingly important in today's globalized society. To further understand instructional strategies and student involvement, the study incorporates observations from classrooms as well as instructor interviews. The study, which was divided into two stages, featured observations of The teacher's class and an interview with her. The need for more participatory teaching techniques, a lack of resources, and constrained learning time are among the major issues that have been noted. The school uses the Cambridge curriculum, but it also takes Indonesia's Merdeka curriculum into account. It suggests incorporating more interactive exercises, such as games, to maintain students' interest. The results emphasize how crucial it is to modify teaching strategies to fit the demands of contemporary students and provide a welcoming environment where English can be learned successfully.

AWS DeepRacer를 활용한 강화학습 알고리즘의 성능 평가 및 실제 트랙 검증

This study evaluated and analyzed the performance of the PPO and SAC reinforcement learning algorithms in various driving environments using the AWS DeepRacer. Factors affecting the performance of the reinforcement learning algorithm include the complexity of the driving track, maximum speed, and reward function. The PPO algorithm can be learned with less training time than the SAC algorithm at a maximum speed of 1.5 m/s on asimple track. , the SAC algorithm drives along the centerline more accurately than the PPO algorithm. When the maximum speed is 2.5 m/s or the driving track is complex, the PPO algorithm can complete the track even if the training time increases; in contrast, the SAC algorithm cannot complete the track owing to insufficient learning time. To verify the simulation results, we implemented an actual trackand uploaded the simulation model to a DeepRacer vehicle. The experimental confirmed that stable autonomous driving was possible on an actual track, similar to the simulation results.

Concerning rural undergraduates’ knowledge absorption in large-scale online learning: inspired by three digital divides and beyond

ABSTRACT The massive online learning resulting from COVID-19 has exposed the digital divide in urban and rural areas. However, there is little research in such an environment. This study examines the digital divide in large-scale home-based online learning among Chinese university students during the pandemic. Through interviews and questionnaires (N = 3,961), the study analyses the three digital divides that exist between Chinese rural and urban university students. The results show that (1) within the first digital divide, the access divide, despite the positive overall rating, significant gaps existed in Internet quality in terms of urban/rural areas, network cost pressures, and digital device performance; (2) within the second divide, the skills divide, a significant difference existed in Internet proficiency between urban and rural undergraduates; (3) a new divide—the (knowledge) absorption divide we proposed in this study—existed. With more family support, urban students used online learning strategies better than rural students, who had shorter learning time due to more household chores. These factors may result in a gap in knowledge absorption. This new framework (access-skills-absorption-outcome) will complement current models of the digital divide. The findings imply that the public sector should be concerned about the diversity of the digital divide.

The use of pattern blocks in developing students' higher-order thinking skills

PurposeThis study aimed to explore students’ higher-order thinking skills development when they engaged in pattern blocks learning activities using Blended Learning Classroom teaching approaches through the Thailand Lesson Study Incorporated Open Approach model.Design/methodology/approachThe researchers utilized a multiple case research design for 47 higher education students from the Non-degree Higher-order Thinking in Mathematics Program using a purposive sampling technique. The researchers used the On-Demand teaching approach for two days and three hours of a combination of Virtual Live and Face-to-Face teaching approaches, making up a total of 70 and 30 percent of student learning time respectively.FindingsThe quantitative results from the online survey questionnaire indicated that the majority of the participants perceived positively the phenomena of the Blended Learning Classroom teaching approach ranging from a mean score of 4.44–4.65. The qualitative results revealed that participants used different interpretations, and utilized their creative, imaginative thinking to connect various concepts while they were solving the problem situations using pattern blocks.Research limitations/implicationsThe discussions were limited to a study representative of 47 Non-degree Higher-order Thinking in Mathematics Program students.Practical implicationsThe use of the pattern blocks in developing students’ higher-order thinking skills was found to strengthen the effectiveness of Blended Learning Classroom teaching approaches.Originality/valueThis study adds new insight to the literature on Higher-order Thinking Skills development.

Self-regulated learning processes of advanced musicians: A PRISMA review

This systematic review aimed to provide a comprehensive and up-to-date understanding of the current state of empirical research in self-regulated learning (SRL) and music, investigating learning strategies planned and employed by advanced musicians and evidence to support the benefits of SRL training for this population. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, we initially identified 3323 records related to our search, spanning the period from 2001 to 2023. Inclusion criteria consisted of peer-reviewed empirical articles reporting studies involving the participation of advanced (i.e., undergraduate and postgraduate student and professional) musicians using Zimmerman’s cyclical model of SRL and published in English, Spanish, Portuguese, or French. Forty-eight articles met all the inclusion criteria and were included in the review. We divided them into three types: reports of observational studies, descriptive-correlational, and intervention studies. We discuss the findings according to the three phases of Zimmerman’s cyclical model: forethought, performance/volitional control, and self-reflection, including the processes of goal setting, selection and adaptation of learning strategies, help seeking, time management, and self-evaluation and adaptation. Our analysis identified trends in the behavior of advanced musicians, particularly regarding practice quantity and musical achievement. Suggestions for future research indicate the need to invest in the training of instrumental and vocal teachers, so that they become familiar with SRL learning strategies that they can pass on to their students.

The influence of e-learning on exam performance and the role of achievement goals in shaping learning patterns

Digital learning environments provide opportunities to support learning in higher education. However, it is yet unclear why and how learners use these opportunities. We propose that learners’ achievement goals and their beliefs regarding the instrumentality of e-learning tools to achieve those goals are predictive for learning behavior within digital learning environments. Furthermore, we assume learning behavior characterized by longer overall learning time, more distributed learning, and less learning delay predicts higher exam performance. To test these hypotheses, we analyzed log-file data of 91 university students who had used an intelligent tutoring system as exam preparation in a pre-registered study. Beyond the overall predictive validity of the intelligent tutoring system, we found a negative association between learning delay and exam performance. Achievement goals predicted learning time and time distribution, an association that was partly moderated by perceived instrumentality. This suggests that goals and beliefs are important puzzle pieces for understanding e-learning (behavior).

Online Learning Platforms on Efl Students’ Learning Intensity and Frequency

This The present study analyzed the role of online learning schemes in influencing EFL students’ learning time and frequency, supporting the assertion that more work on the existing engagement of the learners as well as their outcomes is necessary. Given the level of technology in the current world and the trend of going online, this study adds value by exploring the use of technology as opposed to more conventional techniques. The study utilized a mixed-method research approach combining both quantitative and qualitative research with a quasi-experimental design involving 190 university participants which made up a control group receiving instructional delivery through conventional methods while the experimental group made use of online platforms. Research Instruments include the validated questionnaire and semi-structured interviews in which quantitative data was analyzed using independent sample t-test while qualitative data was analyzed in an iterative manner. The findings show that the experimental group experienced, relative to the control group, a higher level mean score in terms of the learning intensity and the learning frequency (mean = 81.51 vs mean= 64.58) with a Sig. (2-tailed) p equal to 0.000. Preferences showed Moodle as the most popular platform used (34.21 %), next YouTube (25.26%), and the main reason for the choice of the platform was ease of use (50.53%) and Completeness of learning materials (23.68%). YouTube was perceived as the best platform for learning (38.95%) followed by Quipper (21.05%) and Podcasts (18.42%) for effective learning. It has been asserted in this study that the introduction of these platforms into the EFL teaching process will result in an improvement of both learning achievements as well as the involvement of the students.

In Search of Better Policies? The Relevance of Different Forms of Knowledge for Finnish Development Policy

Modern interpretations of Aristotelian concepts of knowing, episteme, techne and phronesis, have lately been adopted to study expertise and professions. The article argues that a combination of the three types of knowledge would be useful in development cooperation and that especially phronesis, or practical wisdom, should take the central stage as it combines practice with values. Although values are central in development work, they are currently undermined by technical understandings. The article explored the different forms of knowledge that are used and appreciated within the Finnish development cooperation. The data was drawn from a process of providing topical and rapid scientific inputs to Finnish ministry officials and it was complemented with key-informant interviews. The findings showed that although scientific knowledge was appreciated by the ministry officials, the internal incentive structures of the development administration favoured technical forms of knowledge. Especially results information as well as picking up travelling ideas from the major trendsetters within the field were important in everyday work. The main structural constraints for phronesis to flourish within the department seemed to be a lack of time for learning and reflection. Development is a messy process involving stakeholders with various interests and wicked problems that do not have simple solutions and are inflicted with power struggles. With declining funding and diminishing appreciation from the side of the power holders, the value of knowledge available to improve the quality and effectiveness of development policy and cooperation becomes important to all stakeholders.