Computer Experience Research Articles

Building Bridges in STEM Education: Minoritized Secondary School Student Computer Science Pathways and Experiences

The experiences of underrepresented women and ethnic minorities in computer science (CS) fields are at the heart of understanding the factors that impact the critical transitions students face when entering into Science, Technology, Engineering, or Mathematics (STEM) careers. The research, conducted using a grounded theory approach, gauges student and teacher perspectives, specifically investigating minoritized student perspectives that influence their entrance and continuation into an educational pathway. The study’s outcomes underscore the crucial roles of (1) Student Family Encouragement, (2) School and Community Engagement, and (3) Professional/Teacher Mentorship as critical junctions that school districts should be aware of when creating student pathways into college and career, particularly for underrepresented groups.

Students’ Perceptions and Experiences of Using Cloud Services in Online Education During Pandemic Time: A Post-Covid Study

ABSTRACT The study examines how Dhaka University students used cloud technologies to assist their online learning throughout the pandemic. A quantitative survey was carried out to collect data from the students of Dhaka University. The questionnaire included both open and close-ended questions and 5-point Likert scale items. Data were collected both online and using printed questionnaires. In this way, a total of 388 responses were recorded. IBM SPSS version 20 was used to analyze the collected data. This study found that the majority of the students used Zoom and Gmail for their online lessons. Students were pleased with the different features of cloud services including the privacy and security of data, free or pay-per-use opportunities, and personalized learning opportunities. The most common hurdle encountered by students, according to the results, was a poor internet connection. The study found no significant differences in the students’ experiences of utilizing cloud services in online learning based on their educational level, gender, age, location of attending online classes, computer experience, cloud use training, and duration of internet use.

THE BUSINESS COMMUNITY ATTITUDE TOWARDS YOUNG EMPLOYEES:REGIONAL DIMENSION

The entrepreneurial community constantly sends signals about the demand for young employees, representatives of the generation of the centennials. Various studies of young generation workers do not analyze the opinions of employers regarding the changes in the structure of human resource management, while knowing the characteristics of generation Z can help companies adjust to their interests in recruitment, selection and retention of young employees. In this regard, the main purpose of this study is to identify the attitudes of the entrepreneurial community towards young employees on the example of old industrial region of the Southern Federal District - the Volgograd region. The data for the analysis are obtained through an anonymous survey of entrepreneurial structures without reference to their size and form of ownership using «Google-form» platform in the period from May 15 to September 01, 2022. The questionnaire was distributed through the Union «Chamber of Commerce and Industry of Volgograd region», the portal of state support of business of Volgograd region «My Business» and through personal contacts. The total sample was 214 enterprises. The survey showed that small enterprises of the Volgograd region have quite high requirements for young employees and do not have information about the changes in the structure of human resource management. Employers want employees to be creative, proactive, have knowledge of specialized computer programs and experience in the relevant field, but they are not ready to offer them high wages. Generation Z workers expect organizations to provide career development, but business structures in this regard are only willing to pay for training or refresher courses, internships in other regions, and the provision of discounted trips. Russian entrepreneurs continue to ignore the needs, demands and values of young workers. Regional business support institutions should organize market research on the needs, values and demands of centennials in relation to employers. Entrepreneurs could pay special attention to implementing global and national best practices in meeting the needs of young employees.

Extended Working Lives in Denmark and Finland: Influences of Computerization

Extended working lives become important in aging populations. Yet, for a long time, increasing computer use pushed older individuals out of the workforce. Recently, older workers’ computer skills have improved. This article investigates how computer use, experience, and training affect workforce participation in old age in countries with widespread computer use. It conducts regression analyses of Danish and Finnish survey data. Findings show that individuals who used computers had a higher chance of remaining in the workforce. Computer experience made older Finns marginally more likely to retire. However, computer training had no influence. Findings suggest that the relevance of computer use for extended working lives depends on a country’s computerization level: the higher the level, the less of an obstacle to extended working lives computerization presents. Policymakers should facilitate older workers’ computer use especially when computers are first introduced, and explore alternative means for extending working lives afterwards.

Student Achievement with the Implementation of the E-Learning System: Anxiety associated with Computers and Apprehension of Oral and Written Communications

In the digital era, education can be done by learning not only anywhere but at any time with e-learning facilities, which are also implemented in the Accounting Study Program at Universitas Pembangunan Nasional Veteran Jawa Timur, so students also need skills in using technology, especially e-learning. Based on this background, this research aims to determine the factors influencing student achievement by implementing the e-learning system in the teaching and learning process. The sample was 81 students from the Accounting Study Program at UPN Veteran, East Java, Surabaya, using the simple random sampling technique. In implementation, the number of respondents was 74, with a return rate of 91.4%. The research variables used are computer anxiety, computer experience, email/web experience, oral communication apprehension, and written communication apprehension as independent variables, and student achievement variables as the dependent variable. To answer the problem formulation, objectives, and hypotheses, the analysis used is Multiple Regression Analysis. Based on multiple regression analysis, it can be concluded that computer anxiety and computer experience have a significant effect on student achievement, and email/web experience, oral communication apprehension, and written communication apprehension have no significant effect on student achievement or in other words email/web experience, oral communication apprehension, and written communication apprehension are not variables that cause the rise and fall of student achievement.

Digital social media expression and social adaptability of the older adult driven by artificial intelligence.

This study examines the impact of digital new media art on the health literacy and digital health literacy of older adults. It explores how digital new media art influences the social adaptability of the older adult, with a focus on variations in their engagement with digital technologies and community activities. The research employed interviews and observations of older adult participants from communities A and B. Data were collected on their smartphone usage, community engagement, and access to technological infrastructure. The study also assessed their interaction with digital new media across various domains, including interpersonal communication, information retrieval, entertainment, practical applications, and mobile payments. The study found significant differences in engagement with digital new media art among the older adult. Participants with prior computer experience were generally more skilled in using smartphones and more active in community events. In contrast, individuals in community B showed lower acceptance of digital new media art and no clear association with community participation. There was substantial variability in their use of digital media for information retrieval, entertainment, practical applications, and mobile payments. Some older adult individuals demonstrated proficiency with these technologies, while others were more reserved. The findings suggest that digital new media art can enhance community participation and social adaptability among older adults, particularly those with prior computer experience. However, disparities in digital media usage highlight the need for targeted interventions to improve digital health literacy and engagement across different community settings. The study underscores the importance of addressing these disparities to ensure that all older adults can benefit from digital advancements, thereby improving their overall well-being and health literacy.

Examining the determinants of the intention of using E-learning among university students in China During COVID-19.

The main objective of the study is to examine the intention of using e-learning among university students in China. factors such as computer experience, personal innovativeness, computer self-efficacy, and performance expectations have an impact on the intention of using e-learning during COVID-19. The PLS-SEM-SEMroach is used for analysing research models of complex nature, where there are numerous observed and unobserved variables in the model. The response rate came out at 77%, which is considered more than sufficient for further analysis. An empirical study based on e-learning was conducted in a developing country. The researcher discovered that CSE has a significant impact on users' acceptance of e-learning. According to earlier studies, the experience of using a computer is a significant predictor of attitudes toward using computers. E-learning systems are used by individuals when it is perceived that they will improve their effectiveness and productivity in learning education during COVID-19. These beliefs have an impact on their intentions to use e-learning systems. As the high rate of attrition has become a key issue in e-learning, the main concern related to online teaching and learning is motivation. Their relationship results in improved use of the e-learning system. A computer self-efficacy construct was adapted in a study based on a specific implementation of e-learning. Computer self-efficacy was defined as the level with which people feel confident in their skills for using online technology for learning and the achievement of course-related tasks. The study has highlighted an important issue related to personal innovativeness, computer experience, and personal self-efficacy among students in China during COVID-19.

Lessons Learned from Shared Decision Making with Oral Anticoagulants: A Literature Review and Evidence-Based Guide for Development of Oral Chemotherapy Decision Aids

Background: Oral systemic treatment is becoming an increasingly common modality of chemotherapy. By providing patients with Decision Aids (DAs), clinicians can facilitate shared decision making (SDM) and aid patients in making a treatment choice aligned with their goals and values. Though considerable research exists on DAs in oncology overall, and some products exist commercially, there is little evidence to inform the development and efficacy of DAs targeting the unique challenges of oral anticancer therapy, including difficulties with adherence and self-administration. Our objective was to examine the literature on DAs developed for oral anticoagulation, as well as patient preferences and DAs in oncology, to guide the development of DAs for oral anticancer therapy. Methods: We conducted an in-depth literature review using PubMed, MEDLINE, and Google Scholar with keywords “decision aids AND oral anticoagulation,” “shared decision-making AND oral anticoagulation,” “decision aids AND oral chemotherapy,” “shared decision-making AND oral chemotherapy,” “decision aids AND oncology,” and “shared decision-making AND oncology.” Selected articles addressed the development, efficacy, and/or patient experience of DAs for SDM in oral anticoagulation therapy and/or oncologic conditions. Results & Discussion: Our focused search identified 57 potential articles related to our research question; of them, 25 were most relevant that met our inclusion criteria.Effective DAs in oral anticoagulation improved patient knowledge, lowered decisional conflict, and increased medication adherence. They covered a broad range of six SDM elements: situation diagnosis, choice awareness, option clarification, harms and benefits, patient preferences, and decision making. A common shortcoming was a lack of information on the day-to-day patient experience. In oncology, DAs increased patient knowledge and lowered decisional conflict, aligning patients' ultimate decision with their personal values, especially when including a specific, value-eliciting survey. Ineffective oncology DAs included those that provided general, unclear, or overly optimistic information. Patients with cancer preferred their DAs to be highly specific, including a list of treatment pros and cons, key questions to ask, information regarding side effects, and clear discussion of expected quality of life resulting from treatment. The concern that providing too much information may be overwhelming or distressing was largely empirical and not evidence-based, as no studies showed harm with DAs providing more information. In addition to following these lessons, considerations in the development of oral chemotherapy DAs include involving patients in early-stage development and addressing barriers to implementation. The challenges presented by integrating a user-friendly interface with the sufficient detail required to make complex decisions can be addressed by including essential points on a single screen and incorporating links providing granular detail for those who seek it. Variable health literacy, computer experience, and language skills mandate consideration and can be addressed through user experience trials, audio-only pages, and placing open access, pre-downloaded healthcare content on mobile devices. Providing DAs ahead of appointments has also proven more effective than during appointments, improving SDM and facilitating discussion. Conclusion: There is a need for evidence-based, effective decision aids to facilitate SDM for patients considering systemic oral chemotherapy. Developers can use lessons learned from oral anticoagulation DAs studies, the use of DAs in cancer care, and patient preference surveys to develop DAs for oral chemotherapy that can help optimize shared decision making.

Nurses' Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia.

(1) Background: Nurses' attitudes toward electronic health records (EHRs) is a very valuable issue that needs to be evaluated, understood, and considered one of the main factors that can lead to its improvement or handicap its implementation. This study aimed to assess nurses' attitudes toward EHRs and associated factors that affect the implementation of EHRs in different hospitals in Saudi Arabia. (2) Methods: A cross-sectional study was utilized to collect data from 297 nurses working in public hospitals and primary healthcare centers in Ha'il Province from January to May 2023. Data were collected using the Nurses' Attitudes Towards Computerization questionnaire and a sociodemographic and work-related characteristics sheet. (3) Results: Most of the participants' attitude scores (81.1%, n = 241) were more than or equal to 60, representing positive attitudes, whereas 18.9% (n = 56) of the nurses' scores were less than 60, which is interpreted as negative attitudes. There was a significant relationship between nurses' attitudes toward EHRs and a participants' sex, where males had a more positive attitude than females (p < 0.001). Particularly, young nurses and those who had previous computer experience had a more positive attitude than older nurses and those who had no computer experience (p = 0.044 and < 0.001, respectively). Saudi nurses holding a master's degree had significantly more positive attitudes toward EHRs than non-Saudi nurses holding a bachelor's or diploma degree (p = 0.007 and 0.048, respectively). Nurses with less experience (less than five years) in the nursing field had a significantly positive attitude. Multiple linear regression showed that sex (p = 0.038), level of education (p = 0.001), and previous computer experience (p < 0.001) were independent factors of nurses' knowledge of EHRs. (4) Conclusion: The majority of nurses had positive overall attitudes toward using EHRs. Nurses who are Saudi nationals, male, younger, have previous computer experience, and have less than five years of experience had a more positive attitude toward EHRs than nurses who are non-Saudi, female, older, have no computer experience, have bachelor's or diploma degree, and have less than five years of experience, respectively. Sex, education level, and previous computer experience were independent factors of nurses' knowledge of EHRs.

Impact of digital divide on students’ performance in computerised UTME in Nigeria

In Nigeria, the Unified Tertiary Matriculation Examination (UTME), a large-scale university admission examination, was fully computerised in 2015. However, knowledge gap and digital divide are prevalent in developing countries, which may impact students’ performance in computer-based tests (CBT). To this end, this study investigates ICT-related individual differences (computer familiarity/experience, CBT anxiety and CBT attitude) among secondary school students taking UTME and its effects on their performance on the test in Osun state, Nigeria, considering their locations (rural/urban) and school types (public/private). The study adopted a quantitative survey for data collection from final-year secondary school students who registered and took 2021 UTME. The study's findings revealed significant variations in the access and use of computers among students taking UTME. It was found that all students from private schools had prior computer experience, whereas 11% of students from public schools had not used a computer before. Within the group of students without prior computer experience, 63% were from rural public schools. Furthermore, computer familiarity positively correlates with students’ performance in UTME. For instance, students who have taken CBT at least six times before UTME have significantly better performance than those who have not taken CBT at all. However, CBT attitude and anxiety before and after the examination were moderate and had no significant relationship with test performance. We conclude that affordable and easily accessible ICT facilities and CBT practice centres should be provided to students, especially those in disadvantaged areas, to ensure the fairness of UTME to all candidates.

A Case Study on Acceptance of Hospital Information Systems (HIS), among Nurses in a Tertiary Care Hospital

Purpose: To improve the quality of care, information technology must be implemented in the healthcare field. In any healthcare system, nurses are the primary users of the hospital information system (HIS), making them the Centre of care. Therefore, understanding their views and the way they use these systems will help improve hospital information systems. Methodology: Data were collected from 389 nurses in hospital wards, intensive care units, and emergency departments using a structured questionnaire. There were two sections of questions on the questionnaire. In the first section demographic details were included. In the second session, 15 statements about nurse’s acceptability of the hospital information system in the hospital are also included. It was suggested to include one more open-ended question in the study to get feedback from the nurses about ways to increase HIS acceptance. Finding/Result: The study found that the majority were female nurses with a bachelor degree and 3-4 years of computer experience. The majority of nurses accepted that the HIS is integrated into their daily work. As a result of the study, the nursing staff will be more likely to accept the HIS. Originality/value: This study will provide a comprehensive overview of understanding information technology and the acceptance of using these systems, which will reduce the workload of nurses while improving the quality of care and patient satisfaction. Paper Type: Observational case study.

Exploring the Perception and Experiences of Nursing Instructors With E-learning During the COVID-19 Pandemic in Saudi Arabia.

Due to the coronavirus disease 2019 (COVID-19) pandemic's effect on the educational system, the integration of e-learning became essential. Consequently, it is necessary to explore nursing instructors' perceptions and experiences with e-learning. This study aims to explore the perception and experiences of nursing instructors in Saudi Arabia regarding e-learning. A descriptive cross-sectional survey was conducted among nursing instructors at Saudi Arabian universities during the COVID-19 pandemic. They were invited to respond to an online questionnaire. The data collected were analyzed utilizing SPSS version 22 (IBM Corp., Armonk, NY), employing both descriptive statistics to summarize the responses of the participants and inferential statistics to identify significant differences in perception and experience levels based on demographic variables. The results demonstrated that nursing instructors in Saudi universities had a high perception of e-learning, with an average rating of 4.55/5. Instructors aged 41-50 years, of Indian or Saudi nationality, and holding a doctoral degree exhibited significantly higher levels of technological and computer experience compared to others. Moreover, instructors in these categories also had significantly higher levels of perception toward e-learning, with an overall average rating of 4.56/5. The study concluded that nursing instructors at Saudi universities possessed a high level of experience in technology and computer usage, and they exhibited a favorable perception toward e-learning during the COVID-19 pandemic. Instructors aged 41-50 years, of Indian or Saudi nationality, and with a doctoral qualification demonstrated higher levels of experience in technology and computer usage, as well as a more positive perception of e-learning during the pandemic.

Perspectives and Attitudes of Emergency Medicine Educators Towards E-Assessment Technologies

Aim: The widespread use of distance education due to the pandemic has accelerated distance assessment and evaluation technologies (E-assessment). While educators and trainees promptly adapt to distance learning platforms, several factors can affect the adoption of e-assessment models. This study aimed to identify these factors affecting the perspectives and attitudes on e-assessment technologies among emergency medicine educators.&#x0D; &#x0D; Material and Methods: A survey on self-efficacy, self-confidence, and attitudes toward E-assessment technologies was conducted on ninety emergency medicine educators. In this questionnaire-based study, educators of emergency medicine residency training programs with different academic ranks who work in emergency departments involved in emergency medicine residency training were included. A pool of questions was created from the questionnaires with the concepts of “self-efficacy”, “self-confidence”, “attitude”, “educational need” and “computer-use self-efficacy”. The items were evaluated with a 7-point Likert scale. Correlation, validation, reliability and factor analysis were performed.&#x0D; &#x0D; Results: There was a statistically significant difference among computer-use skills, especially regarding self-confidence (p=0.02) and self-efficacy (p=0.01). No significant difference was found in terms of attitude (p=0.877). Advanced computer skills had higher levels of self-confidence and self-efficacy for E-assessment. There was a significant difference in self-confidence (p=0.001) and self-efficacy (p=0.001) regarding increased E-assessment experience. Forty-four percent of the participants had ethical concerns, 30% were not concerned about this issue, and 25.6% were partially concerned about screen sharing.&#x0D; &#x0D; Conclusion: Experience, computer-use skills and self-efficacy, and E-assessment education are the key factors that may be related to self-confidence and self-efficacy and may indirectly affect attitudes toward E-assessments in emergency medicine education. Since it is important to monitor and evaluate the training processes, the adaptation of the trainers to this technology is possible by increasing their computer skills and experience to ensure this continuity in conditions such as pandemics.

Multiagent Meta-Reinforcement Learning for Optimized Task Scheduling in Heterogeneous Edge Computing Systems

Mobile edge computing (MEC) brings the potential to address the ever increasing computation demands from the mobile users (MUs). In addition to local processing, the resource-constrained MUs in an MEC system can also offload computation to the nearby servers for remote execution. With the explosive growth of mobile devices, computation offloading faces the challenge of spectrum congestion, which in turn deteriorates the overall quality of computation experience. This paper hence investigates computation task scheduling in a heterogeneous cellular and WiFi MEC system. Such a system provides both licensed and unlicensed spectrum opportunities. Due to the sharing of communication and computation resources as well as the uncertainties, we formulate the problem of computation task scheduling among the competing MUs in a stationary heterogeneous edge computing system as a non-cooperative stochastic game. We propose an approximation-based multi-agent Markov decision process without the global system state observations, under which a multi-agent proximal policy optimization (PPO) algorithm is derived to solve the corresponding Nash equilibrium. When expanding to a non-stationary heterogeneous edge computing system, the obtained algorithm suffers from the slow convergence due to constrained adaptability. Accordingly, we explore meta-learning and propose a multi-agent meta-PPO algorithm, which rapidly adapts the control policy learning to the non-stationarity. Numerical experiments demonstrate performance gains from our proposed algorithms.

Frustration: Still a Common User Experience

When computers unexpectedly delay or thwart goal attainment, frustration ensues. The central studies of the extent, content, and impact of such frustration were done more than 15 years ago. We revisit this issue after computers have become more mature and computer use is more extensive. To this end, we had 234 crowdsourced participants log the frustrating episodes they experienced with their computers during one hour of computer use. The average time lost due to frustrating episodes was between 11% and 20% of the one-hour period. Though this is less time lost than in the earlier studies, frustration remains a common user experience. While shorter, the median level of frustration during the episodes was high (7 on a 9-point scale). The frustration level correlated with task importance and time lost but was unaffected by computer experience and largely unaffected by computer self-efficacy. In addition, participants indicated that 84% of the episodes had happened before, that 87% could happen again, and that they were unable to resolve 26% of the episodes. This high rate of recurrence and lack of control likely added to the frustration level. The episodes spanned various issues pertaining to performance (49%), usability (36%), and utility (16%).

Exploring TVET Institution Directors’ Barriers in Managing Malaysian TVET Institutions-Industry Partnership

Fordeveloping nations to meet the demand for skills in the twenty-first century, TVET is essential. The TVET institution actively creates a skilled workforce to meet the needs of the nation's labourmarket to meet those demands. As a result, efforts are being made to improve the existing TVET institutions. This study looked into the difficulties faced by TVET institution managers when handling their relationships with collaboration. The quantitative approach used in this study was the survey design approach. The right respondents are chosen for this study using purposeful sampling techniques. A total of 53 directors of TVET institutions in Malaysia and 30 representatives from industry were chosen as respondents for this study. The Rasch measurement model was used to analyze the data. This study identified managerial skills and common barriers as the two main obstacles to the collaboration between Malaysian TVET institutions and industries. Technical, human, and conceptual skills are the three categories used tocategorize managerial skill barriers. Technically, directors are unable to put knowledge into practice because they lack computer proficiency, managerial knowledge and experience, and methods and techniques for performance monitoring tools. Conceptually, directors struggle to plan long-term objectives, articulate strategies and comprehend the organizational structure of their industry. Finally, directors lack the ability to manage relationships between organizations and the drive to launch partnerships with the sector. While this was going on, the common TVET institution-industry collaboration barriers were grouped into four categories: governance issues, funding and financial issues, management issues in collaboration, and industry-institutionculture issues.

Cybersickness, Cognition, & Motor Skills: The Effects of Music, Gender, and Gaming Experience.

Recent research has attempted to identify methods to mitigate cybersickness and examine its aftereffects. In this direction, this paper examines the effects of cybersickness on cognitive, motor, and reading performance in VR. Also, this paper evaluates the mitigating effects of music on cybersickness, as well as the role of gender, and the computing, VR, and gaming experience of the user. This paper reports two studies. In the 1st study, 92 participants selected the music tracks considered most calming (low valence) or joyful (high valence) to be used in the 2nd study. In the 2nd study, 39 participants performed an assessment four times, once before the rides (baseline), and then once after each ride (3 rides). In each ride either Calming, or Joyful, or No Music was played. During each ride, linear and angular accelerations took place to induce cybersickness in the participants. In each assessment, while immersed in VR, the participants evaluated their cybersickness symptomatology and performed a verbal working memory task, a visuospatial working memory task, and a psychomotor task. While responding to the cybersickness questionnaire (3D UI), eye-tracking was conducted to measure reading time and pupillometry. The results showed that Joyful and Calming music substantially decreased the intensity of nausea-related symptoms. However, only Joyful music significantly decreased the overall cybersickness intensity. Importantly, cybersickness was found to decrease verbal working memory performance and pupil size. Also, it significantly decelerated psychomotor (reaction time) and reading abilities. Higher gaming experience was associated with lower cybersickness. When controlling for gaming experience, there were no significant differences between female and male participants in terms of cybersickness. The outcomes indicated the efficiency of music in mitigating cybersickness, the important role of gaming experience in cybersickness, and the significant effects of cybersickness on pupil size, cognition, psychomotor skills, and reading ability.

Research on deep learning video game simulation algorithm based on western wind music

Deep learning technology and graphics computing technology have made important progress in recent years, making video game technology develop. Western orchestral music based on video game technology has been significantly improved in both human–computer experience and game fun. Therefore, an optimized reinforcement learning (Deep Q Networks, DQN) video game simulation algorithm is proposed. The first is to optimize the network activation function, integrate the ReLU and Softlus functions to design a new piecewise activation function, and use it as a fully connected function of the network. Secondly, the Gabor filter is improved and replaces the traditional filter of the network. Finally, the improved filter and the game image are used to obtain the directional features, and the dimensionality reduction of the features is realized by the kernel principal component analysis (PCA) method, the network training parameters are obtained, and the game simulation is completed. In order to verify the improved DQN game simulation model, two games were selected to participate in the experiment. In the game test of the orchestra simulator, the proposed ReLU-Softplus is the best in the orchestra experience, with the highest score of 126, while the average score of ReLU, Sigmaid, Tanh and ReLU-Softplus are 59.6, 57.2, 52.6 and 64.7. Compared with the other three functions, ReLU-Softplus has a 13.2% improvement. It can be seen that ReLU-Softplus has a better experience of wind games. We still take the pipe game as the test object, adopt the improved Gabor and ReLU-Softplus, and use KPCA to reduce the dimension of the game data features. When the curvature coefficient is 0.3, the DQN model has the highest score in the game test, with a score of 159.6, and the best average score is 93.5, which is better than 73.6 without the improved Gabor. It can be seen that the improved DQN game simulation algorithm can significantly optimize the game scoring effect. The research content has important reference value for improving the experience of western wind music video games and improving the game scoring mechanism.

Individualistic Versus Collaborative Learning in an eHealth Literacy Intervention for Older Adults: Quasi-Experimental Study.

Older adults tend to have insufficient health literacy, which includes eHealth literacy-the ability to access, assess, and use digital health information. Interventions using methods such as collaborative learning (CL) and individualistic learning (IL) may be effective in addressing older adults' low eHealth literacy, but little is known about the short- and long-term effects of CL versus IL on older adults' eHealth literacy. The objective of this study was to use a 3 × 2 × 3 mixed factorial design to examine older adults' learning with CL versus IL for eHealth literacy. Older adults (N=466; mean age 70.5, SD 7.2; range 60-96 years) from diverse racial and ethnic groups were randomly assigned to either the CL or IL group (233/466, 50% in each). The intervention consisted of 4 weeks of training in 2-hour sessions held twice a week. Using ANOVA and multiple regression, we focused on the main effects of learning condition and interaction between learning condition and previous computer experience. Learning method (CL or IL) and previous computer experience (experienced, new, or mixed) were between-subject variables, and time of measurement (pretest measurement, posttest measurement, and 6-month follow-up) was the within-subject variable. Primary outcome variables were eHealth literacy efficacy, computer and web knowledge, basic computer and web operation skills, information-seeking skills, and website evaluation skills. Control variables were age, sex, education, health status, race and ethnicity, income, primary language, and previous health literacy. eHealth literacy efficacy, computer and web knowledge, basic computer and web operation skills, information-seeking skills, and website evaluation skills improved significantly (P<.001 in all cases) from before to after the intervention. From postintervention measurement to 6-month follow-up, there was a significant interaction between learning condition and previous computer experience based on 1 outcome measure, computer and web operation skills (F2,55=3.69; P=.03). To maintain computer and web operation skills 6 months after the intervention, it was more effective for people with little to no previous computer experience to learn individually, whereas for people with more previous computer experience, it was more effective to learn collaboratively. From postintervention measurement to 6-month follow-up, statistically significant decreases were found in 3 of the 5 outcome measures: eHealth literacy efficacy, computer and web knowledge, and basic computer and web operation skills (P<.001 for all 3 cases). Older adults' eHealth literacy can be improved through effective intervention, and the IL or CL condition may have little effect on short-term outcomes. However, to maintain long-term benefits, it may be best to learn collaboratively with others who have similar previous computer experience. eHealth literacy is multidimensional, with some components retained better over time. Findings suggest a need for resources to provide continuous training or periodic boosting to maintain intervention gains.

Relationship between exam anxiety, computer experience, and obstacles for nursing students who had undertaken electronic exams

Relationship between exam anxiety, computer experience, and obstacles for nursing students who had undertaken electronic exams