Effectiveness Of Module Research Articles

The Effectiveness of EduMind for Mental Health Promotion Among Youths.

Introduction The global surge in mental health issues, particularly among the youth, is evident. Despite the proliferation of digital mental health services, their adoption remains limited, hindered by various barriers. To address this issue, an evidence-based, validated digital mental health intervention is necessary. Although much research has explored the effectiveness of such interventions, there was limited evidence supporting those within the youth population. The objective of this research is to assess the effects of aninterventional module on depression, anxiety, and stress symptoms among youths. Methods The EduMind online mental health intervention contents were developed from a needs assessment and a scoping review of effective psychotherapies, achieving a high content validation index (CVI) of 0.96. The contents were integrated into a web application to assess its effectiveness among the target population which consisted of university students of a local institution. A quasi-experimental study compared the intervention group (n=264) to a waitlist-control group (n=200), evaluating changes in mental health status with the Depression, Anxiety and Stress Scale 21 (DASS-21) questionnaire using analysis of covariance (ANCOVA) to analyse mean differences. Results Participants in the intervention group indicated a significant decrease (p< 0.001) in depression, anxiety, and stress. The pre-test and post-test mean scores in the intervention group were 15.81 and 8.97 for depression, 11.46 and 7.02 for anxiety and 14.64 and 6.33 for stress, respectively. In the control group, there was no significant difference between the pre-test and post-test mean scores for depression. However, there was a slight significant reduction for anxiety with pre- and post-test scores of13.31 and 12.95. Stress mean scores exhibited a slight increase, rising from 13.55 to 14.24. The final phase revealed significant improvements in mental health status between groups, with significant effect sizes for stress (ƞp2= 0.57, p < 0.001), depression (ƞp2= 0.71, p < 0.001), and anxiety (ƞp2= 0.27, p < 0.001). Conclusion The findings contribute to the advancement of technology-assisted health services, facilitating greater uptake among the population.This study utilized a comprehensive module development framework and demonstrated the effectiveness of the expert-guided mental health intervention module.Furthermore, the study suggests potential integration with the National Strategic Plan for Mental Health 2020-2025 and the National Mental Health Policy, proposing the web application as a potential compulsory student screening tool administered by universities. The information gathered by this application could inform future research directions, propelling technological-assisted mental health services to new heights.

Optimizing Solar Potential: Site Potential Selection for Floating Photovoltaics in the Sepaku Semoi Dam Reservoir

Green energy is considered an essential solution to address the world’s energy scarcity. However, there are several technologies available for producing green energy, including photovoltaics, with a specific focus on floating photovoltaics. The application of photovoltaics on water surfaces can enhance the cooling effect of solar modules, thereby achieving optimal temperatures. The implementation of floating photovoltaics should be approached with careful consideration, for instance, hydrodynamic aspects, reservoir water level fluctuations, forest shadow effects, and safety distance from Dam Facilities. Furthermore, in light of the relocation of the Indonesian National Capital City from Jakarta to Ibu Kota Nusantara (IKN), the city’s green energy options must be thoroughly studied and researched. The Sepaku Semoi Dam is located in Penajam Paser Utara, Kalimantan Timur, and is designated as a flood control and raw rater supplier for IKN. In this research, hydrodynamic simulations using MIKE 21 were conducted to determine water surface velocities. These results were then combined with reservoir depth and the location of areas unaffected by forest shadows. The outcome of this analysis revealed that 15.2% of the water surface area in the Sepaku Semoi Dam Reservoir has the potential for installing floating photovoltaics. With an energy density of floating photovoltaic around 100 MW/km2, Sepaku Semoi Dam Reservoir would produce 50.83 MW. As a result, this research has generated a Potential Location Map for Floating Photovoltaics in Sepaku Semoi Reservoir Dam Reservoir.

Effectiveness of self-instructional module on knowledge regarding doom scrolling among undergraduate nursing students in selected nursing colleges: A pre-experimental

Doom Scrolling is Spending excessive time online surfing and reading negative or unfavorable news makes a person unhealthy. The primary objectives of the study is To assess the effectiveness of Self-instructional Module on Knowledge regarding Doom scrolling among undergraduate Nursing students. And the secondary objectives are, To assess the pre-test knowledge regarding Doom scrolling among undergraduate Nursing students. To assess the post-test knowledge regarding Doom scrolling among undergraduate Nursing students. To assess the effectiveness of Self-instructional Module on Knowledge regarding Doom scrolling among undergraduate Nursing students. Pre-Experimental one group pre-test post-test research design is used in this study and included 60 undergraduate students as a sample by using Non-Probability Convenient sampling. Assessment is done by using Self Structured Questionnaire on Demographic Variables and Structured Questionnaire on Doom Scrolling. The finding reveals that in pre test 41% students got poor score, 37% students have average and 22% students got good knowledge score while after administrating Self Instructional Module in post test 12% students have poor, 24% students got average and 64% students got good score. It is interpreted that after administrating Structure Instructional Module the knowledge regarding ‘Doomscrolling’ has been improved for undergraduate students.

A channel-fused gated temporal convolutional network for EMG-based gesture recognition

Background:EMG gesture recognition can be widely applied in many fields, such as prosthetic control and human–computer interaction, to enhance the standard of human life. Purpose:This study aims to develop a deep learning-based model to identify multiple complex gestures from raw EMG signals. Methods:We propose a new channel-fused gated temporal convolutional network. First, a channel fusion and gating mechanism is designed to improve temporal convolutional networks, allowing the model to obtain higher-level features. Second, we improve the channel fusion module by the short-term average energy to fuse the EMG signals of multi-channels more accurately. Results:The model is evaluated on a public dataset of EMG gestures, NinaPro DB5. Results demonstrated that the unbalanced accuracy rate of 53 gesture actions reaches 92.71%, and the balanced accuracy rate 74.79%. Further, ablation experiments validates the effectiveness of each model module. Conclusions:This study demonstrates our proposed approach can improve gesture recognition accuracy for complex gestures and has great potential for practical applications.

Effectiveness of the Integrated Dengue Education and Learning (iDEAL) module in improving the knowledge, attitude, practice, environmental cleanliness index, and dengue index among schoolchildren: A randomised controlled trial protocol.

Dengue is a mosquito-borne disease caused by four distinct, closely related dengue viruses (DENV). Global dengue incidence has markedly increased in the past decades. The World Health Organization reported that cases increased from 505,430 in 2000 to 5.2 million in 2019. Similarly, the total dengue cases in Malaysia increased from 7,103 in 2000 to a peak of 130,101 in 2019. Knowledge, attitude, and practice (KAP) remain the most effective dengue prevention and control tools. Furthermore, school-based health education is key to enhancing knowledge and raising awareness of the seriousness of dengue among schoolchildren and transferring knowledge and practice from classrooms to homes. Thus, it is necessary to plan an integrated module for the primary prevention of dengue infection, specifically among schoolchildren. The present study intends to develop, implement, and evaluate the effectiveness of a theory-based integrated dengue education and learning (iDEAL) module in improving the KAP, environmental cleanliness index, and dengue index among schoolchildren in Selangor and Kuala Lumpur. This study is a single-blinded, cluster randomised controlled trial to be conducted from 1 September 2023 to 31 August 2025. The study will involve 20 primary and 20 secondary schools in Selangor and Kuala Lumpur. The 1600 participants will be randomly allocated to intervention and control groups based on selected clusters to avoid contamination. A cluster is a comparable school that fulfils the inclusion and exclusion criteria. The intervention group will receive the iDEAL module, while the control group will receive standard education. The iDEAL module will be developed following a systematic procedure and delivered in-person by trained researchers to the participants. The outcome will be measured using validated, self-administered questionnaires at baseline (T0), immediately (T1), one month (T2), and three months (T3) post-intervention to measure the intervention module effectiveness. The data will be analysed using IBM Statistical Package for Social Science (SPSS) version 28 and descriptive and inferential statistics. Within-group changes over time will be compared using one-way repeated measure analysis of variance for continuous and normally distributed variables. Within-group analysis of categorical data will use Cochran's Q test. The main effect and interaction between and within the intervention and control groups at T0, T1, T2, and T3 will be tested using the generalised linear mixed model (GLMM). Hypothetically, the KAP, environmental cleanliness index, and dengue index among the intervention group will be significantly improved compared to the control group. The hypothesis will be tested using a significance level with a p-value of 0.05 and a confidence interval of 95%. The study protocol outlines developing and testing an iDEAL module for schoolchildren in Selangor and Kuala Lumpur, with no socio-demographic differences expected. The intervention aims to improve KAP, environmental cleanliness index, and dengue index, potentially reducing dengue risk. Results could inform public health policies, emphasizing school-based interventions' importance in combating diseases like dengue.

Design and Development Research (DDR) Approach in Designing Design Thinking Chemistry Module to Empower Students' Innovation Competencies

Design and evaluation processes to provide an empirical basis for producing instructional and non-instructional products, tools, and new or improved development models. This method uses various methods, including qualitative and quantitative techniques, and thoroughly examines the literature. The design and development of this chemistry module using design thinking to empower students' innovation competencies are described in this article. The main challenge for the teaching implementation process that is capable of mastering the skills of generating new ideas and solving problems in the real world is preparing teaching materials, consuming time, and putting pressure on the teacher. Teachers need more support resources to translate the expected teaching practices. This effort aims to generate a new perspective in education, especially chemistry education, in developing student innovation competence in secondary schools in Malaysia. Therefore, this study aims to discuss the design and development research (DDR) approach used to develop a design thinking chemistry module using a DDR approach. The researcher will go through three study phases and use several different research approaches in each phase. In the first phase, the researcher investigated the teachers' needs in their pedagogy used in teaching and students' innovation competencies. The second phase is the design and development phase, involving the consensus of twelve experts in various fields, such as chemistry/science, technology, engineering, and mathematics (STEM), curriculum development, module construction experts, and research and innovation planning experts. Consequently, the final phase is implementation and evaluation, focusing on determining the module's effectiveness in teaching and learning. Expert consensus is the primary input in developing modules in Malaysian chemistry education. Malaysian education needs to bring a different educational paradigm and teaching strategy, which includes the impact of teacher pedagogy through design thinking in the future. The conclusion of this article proposes a conceptual framework for the research to contribute to the advancement of design thinking and chemistry education.

Development of the Si PaPa Gasi Module (First Aid for Preeclampsia/Eclampsia) with a Family Approach in the Archipelago Region

Maternal deaths in the Riau Islands Province in 2020 are still dominated by direct causes, namely hypertension in pregnancy (around 39%), known as preeclampsia and eclampsia. The Community Health Center also does not have a particular module regarding first aid in emergencies if preeclampsia or eclampsia occurs. This research aims to determine the effectiveness of the Si PaPa Gasi Module (First Aid in Preeclampsia/Eclampsia emergencies) with a family approach in island areas. The research design is a quasi-experiment with a pre-posttest and control group design. The population is all pregnant women in the Berakit Health Center working area. The total sample was 47 in the intervention group and 47 in the control group. The research instrument is a questionnaire. Statistical analysis uses the computer program by looking at the increase in the average (mean) and the influence of the independent variable on the dependent variable using the t-test. The results of the Si PaPa Gasi module research were Si PaPa Gasi module could increase knowledge regarding First Aid for Preeclampsia/Eclampsia Emergencies and increase the attitudes and motivation of pregnant women to perform First Aid for Preeclampsia/Eclampsia Emergencies. Health facilities can use the PaPa Gasi module as a health education media in efforts to prevent preeclampsia and eclampsia.

Flip Science Module Using an Integrated PBL Model for Market Snacks to Improve Problem Solving Skills

Science education at junior high school level has a strategic role in forming students' problem-solving abilities. This research aims to see the effect of the Flip science module using a PBL model integrated with market snacks to improve middle school students' problem solving abilities. The experimental method carried out in this research used a one group pretest-posttest design. This research was conducted at SMPN 6 Yogyakarta in the even semester of 2023. This research was conducted in one class, namely class VIII D. The sampling technique used cluster random sampling. random sampling. The class is determined by the school with the assumption that the class is assumed to have the same abilities based on even gender. The data analysis technique for measuring problem solving abilities uses a normalized gain score. The research results show that the Science flip module flip module using a PBL model integrated with market snacks can improve students' problem solving abilities based on the results of a gain score of 0.7 in the high category. The results of this research can be used by teachers to improve the problem solving abilities of junior high school students in science subjects

Pilot Study Focused on Knowledge, Attitudes, and Health Access Behaviors of Psychiatric-Mental Health Nurses Regarding Suicide Prevention.

OBJECTIVE: The purpose of this pilot study was to evaluate the effect of a web-based education module on the knowledge, attitudes, and ratings of willingness to access help related to suicide prevention in psychiatric-mental health nurses. METHODS: A quasi-experimental pretest-posttest design was employed. Registered nurses from two academic health center units and a 239-bed Psychiatric Hospital were invited to participate. Scores on knowledge of suicide risk and prevention, attitudes, subjective norms, perceived behavioral control, and intent to seek help upon experiencing suicidal ideations were obtained before and after administering a 25-min web-based training. RESULTS: Twenty-nine participants completed the pre-survey, web-based education module, and post-survey. Significant increases from baseline in the scores on knowledge, attitudes, subjective norms, and intentions related to help-seeking behaviors for nurse suicide prevention were noted. Perceived behavioral control median scores increased but were not statistically significant. More than 40% of the participants reported having experienced suicidal thoughts. CONCLUSIONS: Further study is needed to determine contributors to this higher rate. Understanding the effectiveness of strategies to reduce nurse suicide can provide insights into building better nurse suicide prevention programs.

Managing the Lactating Patient Receiving Anesthesia: An Innovative Educational Initiative.

Background: Breastfeeding has numerous health benefits for patients and their infants. There are inconsistencies in how anesthesia providers care for lactating patients undergoing anesthesia. Providers may be cautious and have patients "pump and dump" instead of following current evidence-based recommendations. Video-based education provides a novel reference for health care providers in their fast-paced work environments. This project evaluated the effectiveness of an online video module and resources accessed at the bedside for anesthesia providers caring for lactating patients. Materials and Methods: A preintervention survey was sent to anesthesia providers at a large academic institution to assess baseline knowledge of current recommendations for caring for lactating patients having anesthesia. A quick response code-linked video module and references were created and disseminated to all anesthesia providers. A postsurvey was sent to assess knowledge and satisfaction with the educational approach. Postsurvey data were compared with presurvey data. Results: All who watched the educational video found the education helpful to care for lactating patients undergoing surgery. In the posteducation group, 93% of providers selected the correct recommendation to continue breastfeeding or pumping after general anesthesia or sedation once the patient is awake and alert, compared with 48% in the pre-education group. After education, 92% would recommend preoperative feeding or pumping prior to transport to the operating room, compared with the 50% in the pre-education group. Conclusions: Video-based, just-in-time education is an effective way to deliver updated information to anesthesia providers. This format is conducive to just-in-time delivery, and there may be implications for other patient populations that present infrequently but require population-specific care.

Secondary Students’ Awareness on Renewable Energy: A Comparison Between Malaysia and Oman

This study responds to the critical imperative of strengthening renewable energy (RE) education and fostering sustainable development awareness among secondary school students in Malaysia and Oman. It investigates the feasibility of using the mobile learning module named "MyREL" to enhance students' understanding, awareness, and interest for RE and sustainable development. The research findings underscore significant improvements in students' knowledge levels post-implementation of the "MyREL" module, with a more substantial increase observed in Oman. Developed content within "MyREL" plays a pivotal role in enhancing students' awareness of RE and climate issues, addressing the initial low levels of awareness in both countries. Notably, the study reveals a remarkable boost in students' interest in pursuing higher education and careers in the RE sector, highlighting the module's effectiveness in nurturing interest. While acknowledging study limitations, such as a small sample size and a brief intervention period, the research encourages future exploration to refine content, employ diverse teaching strategies, and conduct long-term assessments for knowledge and interest retention. Ultimately, this feasibility study underscores the significance of technology-enhanced learning, exemplified by "MyREL," in advancing RE literacy and advancing global efforts to combat climate change while facilitating the transition to cleaner energy sources

Investigating attention mechanisms for plant disease identification in challenging environments

There is an increasing demand for efficient and precise plant disease detection methods that can quickly identify disease outbreaks. For this, researchers have developed various machine learning and image processing techniques. However, real-field images present challenges due to complex backgrounds, similarities between different disease symptoms, and the need to detect multiple diseases simultaneously. These obstacles hinder the development of a reliable classification model. The attention mechanisms emerge as a critical factor in enhancing the robustness of classification models by selectively focusing on relevant regions or features within infected regions in an image. This paper provides details about various types of attention mechanisms and explores the utilization of these techniques for the machine learning solutions created by researchers for image segmentation, feature extraction, object detection, and classification for efficient plant disease identification. Experiments are conducted on three models: MobileNetV2, EfficientNetV2, and ShuffleNetV2, to assess the effectiveness of attention modules. For this, Squeeze and Excitation layers, the Convolutional Block Attention Module, and transformer modules have been integrated into these models, and their performance has been evaluated using different metrics. The outcomes show that adding attention modules enhances the original models' functionality.

The effect of combining an e-learning module with s Virtual Dementia Tour® on knowledge and attitudes toward person-centered dementia care in prelicensure nursing education

BackgroundDue to the global prevalence of dementia the U. S. Department of Health and Human Services’ National Plan to Address Alzheimer’s Disease recommended that healthcare professionals prepare to address the complex needs of people with dementia. To address this gap, nursing programs adopted experiential learning methods. While such methodologies are increasingly used, limited evidence exists to inform best teaching practices. PurposeThis study evaluated the combined effect of an e-learning module with a virtual simulation on nursing students’ knowledge and attitudes of dementia. MethodsThe study followed quasi-experimental design with a cross-over and pretest/posttest design. A convenience sample of nursing students was recruited from three public universities in the Southeast United States. ResultsSignificant improvements in attitudes toward people with dementia were found in students with previous dementia care experience or those employed to provide services to people with dementia. Experience was a stronger predictor of attitudes than education. However, the reliability of the Dementia Knowledge Assessment Scale was not sufficient in this study. SignificanceThe findings may inform best practices in nursing education to prepare graduates to provide quality care for people with dementia.

Examining the effect of different photovoltaic modules on cucumber crops in a greenhouse agrivoltaic system: A case study

Agrivoltaic systems, a fusion of agriculture and photovoltaic (PV) technology, have emerged as a sustainable solution to optimise land use by enabling simultaneous solar energy and agricultural harvesting. The experiments were conducted in a polytunnel greenhouse in Kfar Qara, Israel, deploying three types of semi-transparent solar PV panels—bifacial glass-encapsulated silicon, bifacial plastic-encapsulated silicon, and semi-transparent organic photovoltaics (OPVs) installed above the plant canopy. The impact of these PV treatments on cucumber crops was evaluated and juxtaposed against a control greenhouse with no panels, over the spring season from February to June 2022. Key growth and yield metrics were recorded during 17 harvests between April 10 and June 2, 2022. The findings revealed a negligible decline in crop yield across PV panel treatments compared to the control. Notably, the control and glass-encapsulated silicon PV treatments demonstrated an increase in yield, growth, and fruit quality. Moreover, the glass-encapsulated silicon PV panels outperformed the plastic-encapsulated and OPV module power conversion in the high heat and humidity of the greenhouse environment. This study accentuates the potential of integrating glass-encapsulated silicon PV panels in polytunnel greenhouses, heralding a promising avenue for bolstering agrivoltaic applications by ensuring a harmonious balance between agricultural yield and electrical energy production.

Ghanaian women’s experience of intimate partner violence (IPV) during group antenatal care: a brief report from a cluster randomised controlled trial

ABSTRACT Intimate partner violence (IPV) impacts women of reproductive age globally and can lead to significant negative consequences during pregnancy. This study describes an exploratory aim of a cluster randomised controlled trial designed to assess the outcomes of Group Antenatal Care (ANC) in Ghana. The purpose was to understand the effect of a healthy relationship Group ANC module on experiences of IPV and safety planning as well as to explore the relationship between self-efficacy on the experiences of IPV and safety planning. Data were collected at baseline and at 11–14 months postpartum (post). Survey measures captured reported experiences of violence, self-efficacy, and safety. The chi-square test was used to compare baseline and post scores, and a logistic regression was performed to ascertain the effects of self-efficacy on the experiences of IPV in both groups. The sample included 1,751 participants, of whom 27.9% reported IPV at baseline. Between baseline and postpartum, there was a small increase in reported emotional (6.2% vs. 4.6%) and sexual (5.4% vs. 3.2%) violence in the intervention group compared to the control group. Logistic regression demonstrated that an increasing self-efficacy score was associated with an increased likelihood of experiencing IPV. There were no changes in safety knowledge. This study found higher rates of reported sexual and emotional violence post-intervention among the intervention group. Group ANC may be just one part of a portfolio of interventions needed to address IPV at all socio-ecological levels. Paper Context Main findings: There was no reduction in experiences of intimate partner violence or increases in safety planning among Ghanaian pregnant women participating in a Group Antenatal Care session focused on healthy relationships and safety planning. Added knowledge: Group Antenatal Care has been identified as an effective modality for providing antenatal care and facilitating conversations about sensitive topics such as intimate partner violence and safety. However, this study highlights the importance of developing multifaceted approaches to decrease the risk of intimate partner violence among women, especially during the critical times of pregnancy and postpartum. Global health impact for policy and action: Effective global health action and policy must extend beyond educational efforts, incorporating multifaceted strategies that include healthcare provider training, robust community engagement, and legislation aimed at preventing intimate partner violence, with a special focus on safeguarding the well-being of women during pregnancy and the postpartum period.

The effectiveness of the buddy program training module to enhance the daily living function, social participation and emotional status of older adults in residential aged care homes.

The Compeer Model, which was originally designed to match individuals recovering from mental illness with volunteers from their community, served as the basis for the development of the buddy program. However, limited research was available related to the buddy program among older adults in a Malaysian context. The study aimed to identify the effectiveness of the buddy program training module to enhance the daily living function, social participation and emotional status of older adults in residential aged care homes. A quasi-experimental study was conducted with 30 pairs of buddies and older adults for both the experimental group and control group in two randomly selected residential aged care homes. The buddies in the experimental group received the buddy program training module related to activities of daily living (basic and instrumental) while the buddy-older adults pairs in the control group continued to perform their usual daily life activities in residential aged care homes. Baselines were performed before intervention and at eight weeks post-intervention. Over the eight weeks, for the older adults in the experimental group, there was a significant main effect of time after the intervention on BADL (p = 0.010). There were no significant interaction effects for the experiment group and control group on IADL and social participation. Also, there were no significant interaction effects for all domains in emotional status: depression, anxiety and stress. For buddies, there was a significant interaction effect for depression (p = 0.045) in the control group. The buddy program training module can be used as a guideline for older adults with more significant disabilities in residential aged care homes in managing activities of daily living. Future studies could be implemented to explore the intergenerational buddy program among older adults and young children in the community.

E-JASBIO: Development of Canva-Based Electronic Module to Enhance Environmental Awareness for Students

This research aims to develop an electronic module based on Canva to enhance environmental awareness among seventh-grade students. The module development process utilized the Research and Development (R&amp;D) approach with the Borg and Gall development model. The development steps include field studies, planning, initial product development, limited testing, product revision, extensive testing, effectiveness evaluation, and final product revision. The E-JASBIO module contains materials on environmental pollution, presented in an engaging format with the integration of Quranic verses. The validation results from experts indicate a high level of suitability, with media experts rating it at 81%, material experts at 92%, and language experts at 88%. Field testing involving limited participants showed positive responses from teachers (78%) and students (80%), indicating the module's effectiveness. In conclusion, the E-JASBIO module is deemed highly suitable and effective in enhancing environmental awareness among seventh-grade students, with its engaging content and integration of multimedia elements contributing to its success.

Transition Propagation Graph Neural Networks for Temporal Networks.

Researchers of temporal networks (e.g., social networks and transaction networks) have been interested in mining dynamic patterns of nodes from their diverse interactions. Inspired by recently powerful graph mining methods like skip-gram models and graph neural networks (GNNs), existing approaches focus on generating temporal node embeddings sequentially with nodes' sequential interactions. However, the sequential modeling of previous approaches cannot handles the transition structure between nodes' neighbors with limited memorization capacity. In detail, an effective method for the transition structures is required to both model nodes' personalized patterns adaptively and capture node dynamics accordingly. In this article, we propose a method, namely t ransition p ropagation g raph n eural n etworks (TIP-GNN), to tackle the challenges of encoding nodes' transition structures. The proposed TIP-GNN focuses on the bilevel graph structure in temporal networks: besides the explicit interaction graph, a node's sequential interactions can also be constructed as a transition graph. Based on the bilevel graph, TIP-GNN further encodes transition structures by multistep transition propagation and distills information from neighborhoods by a bilevel graph convolution. Experimental results over various temporal networks reveal the efficiency of our TIP-GNN, with at most 7.2% improvements of accuracy on temporal link prediction. Extensive ablation studies further verify the effectiveness and limitations of the transition propagation module. Our code is available at https://github.com/doujiang-zheng/TIP-GNN.

Development of a multilingual online course with the language support for teaching physics in English

&lt;span lang="EN-US"&gt;Distance education offers an alternative to traditional teaching methods, particularly online courses. During the pandemic, the role of information and communication technologies in the field of education has increased and is used to organize both synchronous and asynchronous learning. However, not all information and communication technology (ICT) tools and platforms provide the necessary functionality for developing online courses in the direction of language integration. This article discusses the issues of creating a multilingual online course of physics in English with the necessary language support and additional functions for the development of students’ academic language. The study used such methods as a survey, focus groups, analytical and descriptive methods, and empirical research. The key features of the developed course are the use of various types of content and methods for assessing both subject and language knowledge and skills. The presented survey results, data on summative assessment (SE), and trial testing show the effectiveness of the developed course modules. The conclusions and results described in the article will be useful to teachers of natural sciences in general education and private schools, especially those using international programs, deputy directors, as well as teachers who teach their subjects in a second or third language.&lt;/span&gt;

Online sexual violence prevention on a female college campus in India: Evaluation of the RISE-ON program

BackgroundSexual violence represents a severe problem for young Indian women and requires effective prevention. Since face-to-face prevention programs are limited in reach, we developed the online sexual violence prevention program RISE-ON consisting of three modules, namely Gender, Sexual Violence, and Bystander Education. The study's objective is to investigate the short-term effects of the RISE-ON modules on participants’ knowledge and attitudes. MethodA total of N = 244 female college students from Delhi aged 17 to 22 were randomly assigned to 1 of 3 groups with two of the three modules. By design, each group functions as a treatment group for the two included modules and as a control group for the third, missing module. ResultsFrom pre- to posttest, there were significantly larger increases of participants’ knowledge on gender, sexual violence, and bystander education in the treatment than in the control group. Concerning attitudes, we found significant increases for gender awareness and bystander attitudes across all groups. ConclusionsThis study demonstrates that the RISE-ON modules are effective in terms of increasing knowledge, but there were no module-specific changes of attitudes. Thus, future online prevention programs need to focus increasingly on attitudes, especially attitudes about sexual violence, and behavior change.