Campus Online Research Articles

Public Opinion Evolution Law and Sentiment Analysis of Campus Online Public Opinion Events

Public Opinion Evolution Law and Sentiment Analysis of Campus Online Public Opinion Events

The impact of ASPECTSS-based design intervention in autism school design: a case study

PurposeThe objective of this paper is to study the efficacy of the ASPECTSS Design Index's concepts as drivers of design intervention for educational environments for students on the autism spectrum. Based on the seven principles of acoustics, spatial sequencing, escape spaces, compartmentalization, transitions, sensory zoning and safety, ASPECTSS formed the basis for a preliminary post-occupancy evaluation (POE) and survey of an existing school environment.Design/methodology/approachConcepts drawn from the review of other strategies for autism spectrum disorder (ASD) friendly design were integrated with the seven ASPECTSS principles to create a design framework and consequent design retro-fit for a Pre-K-12th grade public school for students on the autism spectrum. The following design interventions were proposed: colour-coding based navigation; acoustical treatments in key circulation spaces; introduction of transition alcoves; classroom reorganisation using compartmentalization principles and the introduction of escape spaces for de-escalation. Specifically, a classroom template of modules of ASPECTSS-compliant layouts was provided to all staff. The efficacy and impact of these interventions were assessed using a whole campus online staff survey with further probing using classroom observations and subsequent interviews.FindingsThe results show alignment between the implementation of the ASPECTSS informed design interventions and responses to nine of the Likert scale items were all significantly lower than the middle response, indicating a high degree of satisfaction from survey respondents. These questions and responses related to the colour scheme facilitating ease of navigation for visitors of the school, the acoustics of the building successfully mitigating sound magnification and subsequently student distractibility, the organisation of the classrooms enhancing learning and the de-escalation zones allowing improved management of disruptive behaviours in the classroom.Research limitations/implicationsThis study focuses primarily on the Autism ASPECTSS Design Index as a framework for assessing classroom efficacy. Other tools and frameworks may produce different insights. A single school site was studied. Validation of these findings in other school environments is necessary before generalising these strategies at scale. The use of qualitative tools, primarily teacher and staff surveys, provides one lens into the efficacy of these design strategies. Further research using measurable biometric indicators such as heart-rate and stress levels measured through wearable technology could provide a first step towards the triangulation of these findings.Practical implicationsThese findings could help provide more standardised best practices for designing learning environments for autism, potentially providing supportive strategies with real impact on learning quality, skill development and knowledge acquisition in school environments. This could potentially have economic implications by supporting more efficient progress for autistic students through their school curriculum.Social implicationsSimilar to economic impact, if validated and generalised, these findings could help with sense of accomplishment, general mental health improvement, alleviation of family stress and potential reduction of stigma in the autism community.Originality/valueThere is a slowly emerging field of design guidance for autism schools, but very little empirical evidence on the measurable efficacy of these strategies. This research provides one type of such evidence, as measured by the perceived impact from the point of view of staff and teachers at the school.

Learning Strategy for Lecturers of PAI UIN Ar-Raniry Banda Aceh During the Covid-19 Period

Under normal conditions, learning is carried out directly face-to-face. During the Covid-19 pandemic, learning is online via the internet network. Online learning during the Covid-19 era was something new, experiencing various obstacles and problems. This research aims to determine the planning, constraints, and efforts to implement learning in the PAI Study Program UIN Ar-Raniry Banda Aceh during the Covid-19 period. The methodology that the writer uses is field research and laboratory research. The research results can be concluded that PAI lecturers' learning planning during the Covid 19 period was by making an RPS (Semester Learning Plan) form. The obstacles faced are constraints on the ability of lecturers to master digital media or IT and internet network regulations that are difficult or often not good so that learning sometimes cannot be carried out. Problems with laptop facilities, mobile phones need more capacity and facilities. The campus's online learning facilities or systems at the start of Covid 19 were sometimes problematic due to economic constraints for delivering data or internet packages. For internet network problems, lecturers look for internet networks on campus, in cafes, or with hotspots. For obstacles to mastery of applications and learning strategies, lecturers try to seriously learn on online learning applications or platforms by independently or taking part in training made by the campus and asking colleagues.

"Helping People Get Cheated" to "Anti-Fraud Star"

In recent years, there have been frequent cases of telecom network fraud. Because cunning crooks have long extended their claws to the pure campus. "Post-00" college students grow up in the Internet era and like to participate in online activities and online part-time jobs. In order to prevent college students from falling into the crisis of telecommunications network fraud, although colleges and universities have repeatedly reminded them of security education, the effectiveness of education still needs to be improved. Among them, the fake identity fraud encountered by Xiao Chen is a typical high-incidence telecom network fraud case. By analyzing the causes of cases, the case handling process of ideological and political workers is expounded, and the case reflection and enlightenment are summarized, which provides effective reference ideas for the prevention and control of campus online fraud.

On the Legal Protection of Campus Online Loans and Its Regulation

With the continuous development of campus online loans, many problems have emerged while bringing convenience to college students. Some campus online lending institutions have false propaganda and unfair competition, charging high and unreasonable fees when students take out loans, tempting students to “use loans to support loans”, buying and selling students’ personal privacy information, and using violent collection methods when students cannot repay the loans in time. In the face of these problems, the government should improve the supervision system of campus online lenders, establish a database to provide personal credit assessment, and schools should enhance the management of campus online lending, regularly carry out mapping work, and enhance the legal awareness of college students, while promoting the participation of governmental supervision departments, schools, and society, so that campus online lending can develop in a benign way and provide more convenience forcollege students.

Discussion on Ideological and Political Education of "Engineering Economy" Course

Engineering Economy is the core course of construction cost specialty, which contains more ideological and political resources. Therefore, from the perspective of "curriculum ideological and political", this paper enumerates the ideological and political resources contained in each chapter of the course, with the help of corresponding cases, and discusses the implementation path of ideological and political resources such as "craftsmanship", "campus online loan" and "sustainable development".

UNIVERSITY CAMPUS AUTOMATION USING CLOUD COMPUTING

University Campus Online Automation Using Cloud Computing project aims in developing a cloud based computing Placement Automation System for the placement cell so as to ease their work in managing the placement process. This System will facilitate the interaction between college students, the placement cell of the college and the recruiting companies. It will maintain student information such as grades, courses taken, endorsements from faculty, etc. All this student information will be uploaded by the student into this system made as a project and in turn will be made public after verification by the placement cell so that the companies can go through the information uploaded by the students for further recruitment processes.

Pembelajaran Daring di Tengah Wabah Covid-19

Communication is very important in the learning process with good communication, the teaching and learning process run well. In the learning process, lecturers communicate with students using various methods, both direct and indirect communication. The COVID-19 pandemic that has hit the world, including Indonesia, has changed the teaching and learning process around the world. The learning and teaching process is on average carried out remotely or online learning. The purpose of this research is to categorize communication patterns in the learning process carried out by lecturers in communicating on campus online, and see the factors that are obstacles and solutions to learning. This study concluded that the communication pattern that is often used is the saxunder communication pattern because it is an effective communication pattern and prevents contracting the Covid-19 virus. The inhibiting factors of the communication process are obstacles from the delivery of the message, the recipient of the message, technical barriers, physical barriers, semantic barriers, and psychological barriers. Meanwhile, the solution is that the lectures gaves a time gap in advance, providing free internet facilities to the learner.

Review of the Law Popularizing Education on Administrative Compulsion in Response to Major Epidemic Situations in China

The popularization of education on the administrative compulsion law in response to major epidemic situations in China refers to the educational activities carried out by an educational subject aimed at an educational object promoting understanding and mastery of knowledge of administrative compulsion. The goal is to improve the government’s legal ability to prevent and control behavior, enhance people’s awareness of the rule of law, and provide a strong legal basis for the rule of law in the context of major epidemics. Other aims are to cultivate citizens’ legal beliefs, restrain citizens’ conduct, and maintain a stable social order. However, problems arise in the subject, content, and mode of the educational activities. Therefore, we need to discuss compulsory education in the context of major epidemic situations, including the need for a favorable educational environment, the strengthening of information distribution, and the guidance of public opinion on administrative enforcement. We should also improve education subjects to enhance the legal quality of administrative organs, perfect the education content, encourage people to support administrative compulsion in epidemic situations, and deliver education in campus online classes.

Textual Information Classification of Campus Network Public Opinion Based on BILSTM and ARIMA

To address the problem that it is difficult for traditional opinion analysis models to accurately analyze textual information of campus online public opinion in various formats, a deep learning-based online opinion analysis method is proposed by combining BILSTM and ARIMA models. By using BILSTM sentiment classification model to predict and analyze the text data of campus online public opinion, the sentiment polarity of online public opinion information was well predicted, and the trend prediction of online public opinion was completed by combining ARIMA model difference and temporal preprocessing BILSTM with accuracy values as the original sequence. The simulation results show that the proposed method can better achieve the sentiment prediction of campus online opinion event texts and can predict the general trend of campus online opinion development. The prediction results can well reflect the actual online public opinion and have better prediction accuracy compared with CNN or LSTM models, which can reach more than 80%.

Locality-Sensitive Hashing-Based Link Prediction Process on Smart Campus Education or Online Social Platform

With the development of the Internet, smart campus education and online social platforms have become the mainstream of establishing social relationships. Although many users communicate by social networks, the social networks are caught in the problem of relationship sparsity, which severely impedes users’ communication space. More fatally, in the course of building social relationships, the disclosure of sensitive information will cause users’ privacy vulnerable to be compromised by attackers. Therefore, this paper proposes a potential social relationships prediction approach based on locality-sensitive hashing (LSH) to address the above issues. Specifically, the LSH clusters similar users into the same bucket, and the fuzzy computing method is developed to predict the types of social relationships among these similar users. To further alleviate the relationship sparsity problem, the existing social network structure is utilized to predict users’ social relationships and relationship types. Furthermore, the rationality of prediction results is verified by using the social balance theory (SBT). Finally, massive experiments are executed on Epinions, and the experimental results further confirmed the efficiency and accuracy of our methodology in terms of link prediction while guaranteeing privacy-preservation.

SMART CAMPUS ONLINE LECTURE MODEL AS AN ALTERNATIVE EDUCATION EQUITY STRATEGY IN THE ERA OF SUPER SMART SOCIETY 5.0

This study aims to analyze the effect of the Smart Campus Online Lecture Model on Education Equity in the Super Smart Society 5.0 Era in Aceh Province. The sample in the study was 150 (one hundred and fifty) students and lecturers as respondents. The sampling technique used non-probability sampling technique. The data obtained from the distribution of questionnaires to the respondents were processed by the SPSS program. Methods of data analysis using quantitative analysis methods. The results of the study partially show that the online lecture model has a significant effect on Education Equity with a significant value = 0.005, the Smart Campus variable has a significant effect on Education Equity with a significant value = 0.003. And the results of this study indicate that the smart campus online lecture model has an effect on educational equity by 72.9 percent. Based on the results of the study, it shows that the online lecture variable has a very good role for equal distribution of education because it can reach various areas that have not been served or have not had the opportunity to be able to experience higher quality education in 3 T areas and the smart campus model variable is appropriate. many campuses must apply it more optimally in implementing the smart campus model so that later it can provide maximum service to all users of educational services.

Learning Motivations and Learning Behaviors of Sports Majors Based on Big Data

The subjective factors of sports majors play a critical role in the improvement of their cultural quality. Based on data mining, the valuable information about learning motivation and learning behavior can be obtained from the massive data. Therefore, this paper explores the learning motivations and learning behaviors of sports majors based on big data. Firstly, this paper analyzed the features of the learning behaviors of sports majors, and measured the complexity of their learning behaviors with information entropy, approximate entropy, and change-complexity function. Next, a dataset was established based on the students’ use of campus access network and online learning platforms. After that, a time domain convolutional capsule network model of multiple semantic features was established to recognize and classify the learning motivations of sports majors. The proposed model was proved effective through experiments.

LibApps LTI: Integrating LibApps into Blackboard using the Springshare LibApps LTI Tools

This article discusses how librarians on the Dacus Library Online Instruction Task Force at Winthrop University collaborated with the campus online learning office to integrate Springshare LibApps directly into the Blackboard Learning Management system through Springshare’s LTI Tools. We share first impressions, implementation, and best practices for consideration, along with challenges and development opportunities.

Students' Perceptions of Online Learning on Social Interaction/Persepsi Mahasiswa pada Pembelajaran Online terhadap Interaksi

This article aims to describe students' perceptions of online learning on social interaction. The method used is descriptive qualitative with observation instruments, online surveys, group discussion forums with the research subjects of the 2018 class of PGMI students STAI Ma'had Aly Al-Hikam Malang, Indonesia. The results of the study show that online learning on campus online learning is integrated with SIAKAD and other applications such as google classroom, WhatsApp, Zoom, Jitsi, google meet, etc. for teleconferencing during student presentations and discussions. Students are able to take online lectures well. The student's perspective on online lectures runs quite well despite some obstacles including internet connection, some materials are difficult to understand because they are only given assignments and discussions are carried out through siakad. The impact of online learning on social interactions, among others, is that communication and learning can run well and be flexible, there is miscommunication, and some have difficulty understanding the material.

Ale Rasa Beta Rasa

Pandemic Corona Virus Disease 2019 (Covid-19) has changed people’s life in various fields, including education. Face-to-face learning turns into online learning to prevent the spread of Covid-19. This article explores how the constraints faced in implementing online learning and ways which are taken to overcome them on the basis of local cultural value.
 This research was conducted at the Faculty of Religious Social Sciences State Institute of Christian Religion (FISK IAKN) Ambon, from which more students complaints related to obstacles encountered during online learning as compared to the two other faculties at IAKN. There were twelve people who participated in this study, consisting of two key informants (a dean and lecturer), students from various study programs, consisting of three students from Tourism, another two students from Pastoral Counseling, three students from Theology, and two from Religion and Culture study programs. Data was collected using interview via Whatsapp chatting and observation of students’ participation in online learning class, not only through Whatsapp Group, Faceboook Group, Google Classroom, Zoom, Edmodo, as well as IAKN e-learning system.
 The study demonstrates that in the the online learning process at FISK IAKN, students experience various problems, that include internal and external factors. Internal factors consists of limited facilities and infrastructure to support in campus online learning, students’ financial limitations, and technological illiterate of students as well as lecturers to access online learning. External factors include lack of online learning equipments, such as smartphones and laptops, unstable internet network and lack of electricity in some areas of students’ residence. Because these two factors (internal and external) are the main obstacles in the online learning process, various efforts being made to overcome them on the basis of local cultural values, ale rasa beta rasa. This is not only applied among students of FISK IAKN Ambon, but also involves parents, relatives, neighbors, lecturers, campus support and support from other institutions outside campus. The philosophy of ale rasa beta rasa has become a bonding value among fellow Ambonese and their colleagues on how they deal with problems related to the continuity of online learning in the midst of critical moment resulted from pandemic of Covid-19. The application of the social function of ale rasa beta rasa is manifested in the form of studying together; sharing information about lecture; sharing hotspots and remedial; and granting loans. Despite the fact that all constraints cannot be fully solved, there are at least somethings to be done that affect their online learning process.

The Development and Piloting of a Digital Checklist to Increase Access and Usage of Campus Online Sexual Violence Resources.

As colleges seek to respond to campus sexual assault, administrators are making policies, programs, and resources related to sexual violence available to students and members of the school community online. Keeping this content current and accessible can be challenging in the context of rapidly changing information and competing priorities across campuses. In response to this challenge, we developed a free, online protocol for campus leaders to quickly assess gaps in their online sexual violence resources. The "Digital Checklist" delineates action steps that campus administrators can take to determine whether information related to campus sexual assault is easily located, current, relevant, and accessible. We found that while schools made an effort to increase the availability of information online, the checklist helped identify gaps that, if remedied, would allow more students to access that information. The overall goal for the checklist is to provide schools with actionable, real-time, and trackable data regarding the utility and accessibility of online sexual violence information and resources and to complement other campus sexual assault prevention and intervention efforts.

Evolutionary Game Analysis of Campus Credit Strategy Selection Under Incomplete Information Conditions

Since the China Banking Regulatory Commission issued relevant policies on standardizing the credit card business of college students in 2009, college students' credit cards have gradually withdrawn from campus business. In recent years, with the rapid development of the Internet, Online campus loan began to take the college student market as the goal, and quickly entered the university campus through recruiting student cadres to carry out carpet promotion activities inside the campus. And seized the current situation of college students' lack of financial knowledge and the psychology of comparative consumption, the business volume expands rapidly. The subsequent malignant events, such as 10g naked slip, huge profits and fund-raising, college students jumping off buildings to commit suicide due to their inability to repay the loan, also have a negative impact on the society. In view of the above phenomena, this article combines existing research on existing problems of campus loans, and establishes an evolutionary game model between the campus online platform and college student borrowers from the perspective of evolutionary games. The game model has two stable points (1, 1), (0, 0), namely, the campus platform chooses to deceive the borrower, the borrower chooses to break the trust, and the campus platform chooses not to deceive the borrower, and the borrower keeps the trust. This paper discusses the influence of the changes of the relevant parameters in the model on the choice of the game strategy, and puts forward some suggestions to establish a two-way scoring mechanism for online lending, increase the financial knowledge reserve and income of college students, and help them establish a correct consumption view to standardize the campus online lending work.

Research on Key Technologies of Smart Campus Teaching Platform Based on 5G Network

With the development of mobile Internet technology and the popularity of intelligent mobile terminals, the data traffic load of mobile client users on the smart campus network platform has surged. How to reduce the data traffic of the smart campus network platform is an urgent problem to be solved. First, this paper discussed the key technologies of smart campus network teaching platform under the background of the 5G network, expounded the critical technologies of the transport layer of the Internet of Things (IoT) technology, and analyzed from the development perspective of the IoT platform. Second, by investigating the online classroom data of five types of colleges and universities in China and comparing the advantages and disadvantages of online classroom teaching and traditional classroom teaching, it is found that the number of online courses in colleges and universities has exploded in the second half of 2017. Next, this paper analyzed the demand of smart campus online teaching platform under the background of the 5G network, thus established an online teaching platform based on the four initiatives operation model (government-led, college sponsor, teacher subject, and academic director). Finally, this paper adopted the improved VIRE localization algorithm to obtain the specific location information of the student users in the classroom and, then, compared with the error obtained by the VIRE algorithm, and the error of the improved VIRE algorithm is smaller. In the process of obtaining information, the 5G network technology is used for data transmission, which can shorten the check-in time and can improve the positioning accuracy.

Perceived stress, coping strategies, and emotional intelligence: A cross-sectional study of university students in helping disciplines

BackgroundPost-secondary students in training for helping profession disciplines, including nursing, may be at elevated risk for high stress levels. Stress among students has been linked with adverse physical and psychological health. In addition to the common stressors associated with post-secondary education, sources of stress for students in the helping professions include balancing academic and clinical demands. Previous research indicates perceived stress levels are correlated with emotional intelligence (EI) and with the coping strategies employed by students. ObjectivesThe aim of this study was to examine (1) the relationship between EI and perceived stress, and (2) the potential mediating role of coping responses. DesignA cross-sectional survey design was employed. SettingParticipants were recruited from a public university in the United States. ParticipantsA sample of 203 undergraduate and graduate students majoring in psychology, nursing, and social work was recruited. MethodParticipants were recruited on-campus and through campus online resources and completed an online survey or a paper-and-pencil version of the survey. Descriptive statistics and mediation analyses were used to test the study hypotheses. ResultsHigher EI was associated with lower perceived stress, and this association was partially mediated by both adaptive and maladaptive coping responses. Higher EI was associated with greater use of adaptive coping and lower use of maladaptive coping, and these, in turn, were negatively and positively (respectively) associated with perceived stress. ConclusionThe findings suggest that interventions aimed at increasing emotional intelligence may help to reduce perceived stress for students in the helping disciplines.