Educational Software Research Articles

The Effectiveness of Technology-Enhanced Learning in Prosthodontic Education: A Systematic Review.

To compare the effectiveness of technology-enhanced learning (TEL) with traditional learning in prosthodontic education. The protocol was registered before commencement [CRD42023390277]. The search was conducted to identify randomized controlled trials (RCTs) focused on comparative assessment of TEL and traditional learning in prosthodontic education up to 6 June 2024. A comprehensive search strategy was formulated, encompassing multiple electronic databases. Screening, data extraction and risk of bias assessment using the Cochrane tool (RoB 2) were performed. Educational outcomes were evaluated by Kirkpatrick's four-level evaluation model. Of 2830 records identified, 14 RCTs were included. All the trials were judged at high risk of bias or had some concerns. The included studies assessed the short-term benefits of various TEL approaches, including e-learning, blended learning, video demonstration specialized self-evaluation software and virtual reality simulation in prosthodontic education for undergraduates. Promising results were found in individual studies, particularly in terms of perceived learning conditions with problem-based learning (PBL) and self-reported understanding and confidence when using video demonstrations. Most studies reported comparable outcomes to traditional learning in practical skills assessments, while the results regarding the acquisition of theoretical knowledge through the incorporation of TEL approaches were contradictory. One study reported promising results in perceived learning conditions with the PBL approach, as well as improved self-reported understanding and confidence with the use of video demonstrations. Furthermore, there was a limited number of studies assessing the effect of TEL approaches on students' behaviour. There is a lack of high-quality evidence to support the adoption of TEL approaches in prosthodontics. However, the incorporation of virtual reality simulation has demonstrated promising results, particularly in improving practical clinical skills.

Improving access to utilize the healthcare services facilitated by ASHAs, ANMs and medical officers of PHC among scheduled tribe pregnant women: An interventional study.

Early marriages, early childbirth, low BMI and high incidence of anaemia are known factors for high maternal mortality among tribal pregnant women. This was a mixed method study (qualitative and quantitative) undertaken to evaluate educational intervention package among tribal pregnant women in Chittoor District of Andhra Pradesh State in South India. A baseline household survey with the help of a semi-structured questionnaire was conducted in both intervention group (n = 109) and control group (n = 119) of ST habitations. An educational intervention was implemented through health education approach to bring about awareness and behavioural change among pregnant women regarding healthcare practices and utilization of health services. Qualitative data collection tool included semi-structured FGD. Quantitative data was analysed using SPSS version 26.0. Content analysis was done for qualitative data. The findings of this study show that awareness and utilization with respect to various services facilitated by ASHAs, ANMs and medical officers are improved postintervention among tribal pregnant women, and the various reasons for non-utilization of services were lack of awareness, long distance of health facility, no transportation, poor socio-economic status, inadequate facilities at PHC, etc. This study shows that intervention to improve awareness and health services utilization, and continuous health education should be imparted to all the pregnant mothers. For this healthcare providers like ASHA and ANM and medical officers should be trained and motivated to educate the community.

An Investigation into the Effect of Video-Based Instructional Package and Teaching Skills of Social Studies Preservice Teachers in Southwestern Nigeria

An Investigation into the Effect of Video-Based Instructional Package and Teaching Skills of Social Studies Preservice Teachers in Southwestern Nigeria

Assessment of the Need for Designing an Interactive Educational Tool on Exophytic Lesions of the Oral Mucosa.

Introduction This study sought to evaluate the necessity of creating an interactive educational resource for instructing dental students on oral exophytic lesions. It also aimed to determine the validity and reliability of a questionnaire designed to assess the quality of educational software tailored to these lesions. Materials and methods This descriptive cross-sectional study involved 102 dental students from Mashhad University of Medical Sciences, Iran, who had completed the theoretical course on oral exophytic lesions. A paper questionnaire, including 23 items, assessed their clinical knowledge, the efficacy and limitations of existing educational resources, and the need for interactive electronic courseware (e-courseware). The questionnaire's validity and reliability were evaluated through expert feedback and statistical measures (intraclass correlation coefficient (ICC) and Cronbach's alpha). Results Students' answers to the seven items about evaluating their clinical diagnosis knowledge of oral exophytic lesions were between four and five items correct on average. This finding indicated that students' overall skill in diagnosing exophytic lesions was poor to moderate.The study highlighted a moderate level of self-assessed clinical ability in diagnosing oral exophytic lesions among students (62.7%), with a preference for textbooks and color atlases as primary information sources. The disadvantages of existing electronic resources were noted, alongside a strong student consensus (88.23%) on the need for interactive e-courseware featuring comprehensive, visually engaging content for differential diagnosis education. The reliability and validity analyses of the questionnaire underscored its appropriateness for assessing educational needs. In this regard, ICC for the usability of scientific context, training ability, and interaction was 0.92, 0.73, and 0.82, respectively. Also, Cronbach's alpha score was at 0.90. Conclusion The research underscores a significant gap in dental students' knowledge and diagnostic skills regarding oral exophytic lesions. It emphasizes the critical need for an innovative, interactive educational tool that aligns with contemporary students' digital learning preferences. The envisioned e-courseware would facilitate self-learning and address current resources' limitations, potentially transforming dental education by enhancing clinical diagnostic skills through accessible, effective, and engaging digital content.

NEFELI: A deep-learning detection and tracking pipeline for enhancing autonomy in advanced air mobility

Efficient detection and accurate collision estimation for non-cooperative aerial vehicles are crucial for the realization of fully autonomous aircraft and Advanced Air Mobility (AAM). This paper introduces NEFELI, a machine learning software utilizing optical sensors to detect and track non-cooperative aerial vehicles. NEFELI's detector employs an enhanced YOLOv5-large model, strengthened with a sliced inference step to enhance detection capabilities for distant, diminutive objects. Furthermore, NEFELI introduces several innovations in its tracking component. A key advancement lies in the creation and utilization of the first large-scale re-identification (Re-ID) dataset of aerial objects. This dataset is used to train the deep learning appearance (Re-ID) model of the tracking module and integrates appearance information into the detection and tracking pipeline, resulting in more robust and reliable tracking performance. Moreover, the tracking model combines the deep learning appearance model with a Kalman Filter-based motion model to address the challenge of precisely tracking distant aerial objects. Notably, an extensive comparative analysis that was conducted showed that NEFELI outperforms state-of-the-art detection and tracking models in terms of Higher Order Tracking Accuracy (HOTA) metric, ID switches, and Association Accuracy (AssA) by a wide margin. A crucial aspect of this work is NEFELI's software architecture design, which enables efficient implementation on a low SWaP (Size, Weight, and Power) edge Graphic Processing Unit (GPU). To further showcase NEFELI's generalization capabilities and edge implementation performance, real-world flight experiments with small UAVs were carried out. The experimental results demonstrate NEFELI's ability to detect and track small UAVs at distances of up to 145 m in real-time speed of 6.7 fps.

Technology-Integrated Instructions and Basic Mathematics Skills Acquisition in Public Secondary Schools in Rwanda: A Case of Nyagatare District

This research investigated the effects of technology-integrated instructions on basic mathematics skills in Rwandan secondary education. The study aimed to assess the types of technology-integrated instructional methods used for acquiring basic math skills in Rwandan public secondary schools, assess the level of mathematics skills and performance in these schools, and determine the relationship between technology-integrated teaching and the acquisition of basic math skills. Schools were selected based on their location and type. Theory used in this research project was cognitive load theory and constructivism theory. The target population included 214 teachers, 422 students, and 80 head teachers, total of 716 respondents, with a sample size of 257 participants. Data was gathered using questionnaires, interviews, and observation, employing purposive, stratified, and simple random sampling methods. Both qualitative and quantitative data collection and analysis methods were used. Qualitative data were analysed through content analysis, while quantitative data were presented using descriptive statistics (frequency, percentage, mean, and standard deviation) and inferential statistics (correlational and regression analysis) with IBM SPSS Version 21.0. Findings for the first objective showed that 85.7% of respondents strongly agreed on the use of computer algebra systems, 93.5% strongly agreed on blended learning and online education, 87.0% strongly agreed on the use of mobile and handheld devices, and 63.6% strongly agreed on software applications for mathematics calculations as methods influencing the acquisition of basic math skills. Regarding the second objective, 87.0% of teachers strongly agreed that verbal counting ability indicates math skill levels, 93.5% agreed that identifying more and less of a quantity shows math skills, 85.7% agreed on problem-solving skills as an indicator, 66.2% on recognizing numerals, and 77.9% on understanding size, shape, and patterns as indicators of math skills and performance. The study revealed a strong positive relationship between skills such as identifying quantities, verbal counting, problem-solving, and blended learning or online education. Problem-solving skills were also positively linked with computer algebra systems and blended learning. The significance of verbal counting was confirmed, as indicated by a p-value of less than 0.05. The study recommends using digital tools like calculators and graphing software to improve understanding of mathematical concepts. Real-world examples and multimedia can foster problem-solving abilities, while group work can enhance teamwork and communication skills. Educational software and online platforms provide personalized learning, enabling students to learn at their own pace and receive specific support.

Evaluation of The Flipped Classroom Model on Students' Academic Achievement and Retention in MAN 1 Ambon

This study evaluates the impact of computer simulation and animation instructional packages in natural sciences on high school student's academic achievement and retention in a flipped classroom setting. Using a quasi-experimental pre-test and post-test design, 30 students used the computer simulation package, and 29 students used the computer animation package. Data were collected via academic achievement and retention tests and analyzed using descriptive statistics and independent sample t-tests. The results showed significant improvements in academic achievement for both groups. The average post-test score increased from 28.52 to 70.35 in the computer simulation group and from 25.74 to 64.23 in the computer animation group. The t-test indicated no significant difference in academic achievement between the two groups (t = 1.98, p = 0.79). Retention scores showed a slight decrease from post-test to retention test but remained high, with average retention scores of 68.74 for the simulation group and 61.15 for the animation group. The t-test also revealed no significant difference in retention between the groups (t = 1.12, p = 0.66). The implications of this study suggest that using educational technology, such as computer simulations and animations, in a flipped classroom setting can significantly enhance students' academic achievement and knowledge retention. It underscores the importance of integrating technology into the educational curriculum to create a more inclusive, interactive, and effective learning environment. Additionally, these findings allow educators to choose the teaching methods that best suit their instructional needs and contexts, whether in resource-limited situations or when teaching complex concepts.

Empirical study of educational software for the subject of history

The use of Digital Information and Communication Technologies allows students to access a diversity of information and educational resources almost instantly. In this sense, working with gaming software/applications in education is important as it awakens students' curiosity and motivation. For the teacher to use them, a lot of research and analysis time is required to find a software/application that suits the desired school year, as well as the content to be studied. Therefore, the objective of this work is to contribute to the teacher, surveying the software and applications of the History curricular component, evaluating and classifying them based on the checklist produced by ProInfo. This is qualitative research, with an inductive method, focusing on the use of games in the teaching context, more precisely on the use of software and applications in History classes.

Impact of Blended Extensive Reading Program on L2 Reading Proficiency and Fluency

Impact of Blended Extensive Reading Program on L2 Reading Proficiency and Fluency

Effect of Animated Instructional Software on Students’ Academic Achievement in Motor Vehicle Maintenance Work in Government Technical Colleges in Rivers State for Sustainable Economy

The study investigated the effect of animated instructional software on students’ academic achievement in motor vehicle maintenance work (MVM) in Government Technical Colleges in Rivers State, Nigeria for sustainable economy. The study adopted quasi-experimental non-randomized control group design. The population of the study was 95 MVM students from the three Government Technical Colleges in Rivers State that offer motor vehicle maintenance work (MVM). A sample of 75 respondents was drawn using a random sampling technique. Three objectives, three research questions, and three hypotheses guided the study. The instrument used for data collection was the Motor Vehicle Maintenance Work Achievement Test (MVMAT) which has thirty (30) multiple choice questions with four options A-D developed by the researcher and validated by three experts of which two are from the Department of Industrial Technical Education, Ignatius Ajuru University of Education, Port Harcourt and one from Department of Measurement and Evaluation, Rivers State University, Port Harcourt. The reliability of the instrument was determined by a pre-test on 10 respondents from Government Technical College, Owerri, Imo State, who are not part of the population and produced a reliability coefficient of.74 after subjecting student’s responses to the Kudar-Richardson (KR-20) formula. Mean and standard deviation were used to analyze data from the research questions while Analysis of Covariance (ANCOVA) was used to test the hypotheses of the study at .05 level of significance. The study revealed that the use of animated instructional software in the teaching of MVM aided the academic achievement of students, as those in the experimental group performed better than those in the control group. The study recommends, among others, that animated instructional software should be adopted by curriculum designers and NBTE for technical teachers who will be trained in the usage of the software and should be adequately supervised for effective implementation in instructional delivery.

Design specifications and capabilities of a 3D simulation software for clinical education of physiotherapy students in the neurology department

IntroductionIn this revolutionized era, thanks to cutting-edge technological breakthroughs like 3-dimensional (3D) computerized environments, physiotherapy trainers can improve their knowledge and confidence by using such training tools. Hence, there is room for developing these technologies for training medical students to expand their skills and expertise. This study aims to identify the design requirements and key functionalities of a 3D simulation software for the clinical education of physiotherapy students in neurology departments.MethodFirst, by carefully reviewing neurological books, scientific articles, curriculum, and medical records, and consulting with experts, a scenario was compiled. In the next step, a researcher-developed questionnaire was designed. Then, experts’ opinions were considered to confirm the validity and reliability of the questionnaire. The designed questionnaire was distributed among several neurological physiotherapists. Finally, the information elements, contents, and functional capabilities of the 3D software were determined by analyzing the data obtained from the questionnaire.FindingsThe main components for the design of physiotherapy educational software were identified based on the findings of the literature review, curriculum analysis, and medical record review. A survey of physiotherapy professors was conducted using a questionnaire created by the researcher in order to enhance the capabilities of simulation software and ascertain its primary functions. Following an analysis of the data from the distributed questionnaire, 37 essential features and contents have been proven to be more crucial than the rest for the creation of 3D simulation software. As a result, the essential and fundamental needs for the patient’s training in reading their medical records and performing muscle strength assessments were recognized and extracted. Based on these findings, a researcher-developed scenario for the various real cases was then established. In the patient’s medical record reading scenario, the student is required to read the patient’s record in text format. Similarly, in the section on cranial nerves, pictures are utilised to reinforce the student’s assessment skills in addition to textual content. Together with the audio and pop-up texts, the simulated 3D environment also offers training for the assessment of muscle strength.ConclusionAs an educational tool, this software can enhance students’ learning and assist in addressing the drawbacks of conventional teaching methods like lectures and hospital visits.

«Vi henter litt her og stjeler litt der og setter sammen»

This is a small-scale qualitative study investigating what influences teachers' design of beginner reading and writing instruction. Research on teachers’ planning practices and their use of teaching aids are scarce in research literature (see Bremholm & Skott, 2019; Gissel & Buck, 2020). This study aims to contribute to more knowledge on these matters. Seven teachers in year 1 are interviewed to shed light on the research question: How do teachers report their design of initial reading and writing instruction? The study points out that teachers have comprehensive, ready-made teaching packages (schoolbooks and other resources) at their disposal when teaching reading and writing. However, packages like this have no significant place in the planning practice described by the teachers in this study. Instead, the teachers describe a “pick and mix”-practice, where they combine elements from a range of learning resources (including textbooks) and methods. This way of designing instructions can be described as a hybrid practice (Rasmussen & Lund, 2015) and an eclectic teaching design (Aashamar et al. 2021). This study shows what elements the teachers include in their practice and discusses possible implications.

Stock Return Prediction under US Federal Funds Rate Hike Based on Supervised Machine Learning

As US Federal Reverse Systems has continued to raise federal funds in the past few years in order to curb inflation, this has had a huge impact on chinese capital market. Investors and financial institude are actively engaged in predicting stock returns to maximize their investment income. This study constructs a model to analyze and predict the financial factor of stock income based on supervised machine learning methods and evaluate the results. The datasample is extracted from wind, for the period half a year before and after the recent federal funds rate hike. Utilizing machine learning packages in R, this paper construct models based on linear discriminant analysis, decision tree and random forest models. After constructing estimation models, this paper visualizes the prediction result by utilizing drawing package in R. It has been found that the random forest algorithm predicting model generates very successful results for the financial factor prediction as the model accuracy reaches 99%. According to the analysis, relevant model to predict financial factors and non-financial factors based on non-linear supervised machine learning algorithm can be built by investors or hedge fund agency to estimate stock performance in the future. This study also investigates the economic result of the Federal Funds Rate hikes, which is instructive for investors to make well-informed decisions.

Basic mathematical skills and fraction understanding predict percentage understanding: Evidence from an intelligent tutoring system

Research on fostering learning about percentages within intelligent tutoring systems (ITSs) is limited. Additionally, there is a lack of data‐driven approaches for improving the design of ITS to facilitate learning about percentages. To address these gaps, we first investigated whether students' understanding of basic mathematical skills (eg, arithmetic, measurement units and geometry) and fractions within an ITS predicts their understanding of percentages. We then applied a psychological network analysis to evaluate interdependencies within the data on 44 subtopics of basic mathematical concepts, fractions and percentages. We leveraged a large‐scale dataset consisting of 2798 students using the ITS bettermarks and working on approximately 4.1 million mathematical problems. We found that advanced arithmetic, measurement units, geometry and fraction understanding significantly predicted percentage understanding. Closer inspection indicated that percentage understanding was best predicted by problems sharing similar features, such as fraction word problems and fraction/natural number multiplication/division problems. Our findings suggest that practitioners and software developers may consider revising specific subtopics which share features with percentage problems for students struggling with percentages. More broadly, our study demonstrates how evaluating interdependencies between subtopics covered within an ITS as a data‐driven approach can provide practical insights for improving the design of ITSs. Practitioner notesWhat is already known about this topic Longitudinal studies showed that basic mathematical skills predict fraction understanding. There is only limited evidence on whether similar predictions can be observed for percentage understanding—in general and within intelligent tutoring systems. Process data from such intelligent tutoring systems can be leveraged to pursue both educational research questions and optimizing digital learning software. Problems involving percentages typically are word problems requiring multiplications and/or divisions. What this paper adds Similar to the case of fractions, students' performance on advanced arithmetic, measurement units and geometry significantly predicted performance with percentages. Students' performance with fractions also predicted performance with percentages significantly. A psychological network analysis was applied to evaluate specific interdependencies between a range of subtopics (eg, Multiplying and dividing fractions, Adding and subtracting fractions and Calculating with percentages). Fraction word problems and fraction problems involving multiplication/division turned out to be the best predictors of understanding percentages. Implications for practice and/or policy When facing difficulties with percentages, revision of previous mathematical concepts sharing similar features (eg, fraction word problems, fraction/natural number multiplication/division problems) may be advised. Software developers may consider implementing such data‐driven revision recommendations for students facing difficulties within intelligent tutor systems. Psychological network analysis can be utilized as a learning analytics method for easy‐to‐access visualizations illustrating relationships between a large range of different subtopics.

QM/MM Study of the Reaction Mechanism of L-Tyrosine Hydroxylation Catalyzed by the Enzyme CYP76AD1.

We have studied the hydroxylation mechanism of l-Tyr by the heme-dependent enzyme CYP76AD1 from the sugar beet (Beta vulgaris). This enzyme has a promising biotechnological application in modified yeast strains to produce medicinal alkaloids, an alternative to the traditional opium poppy harvest. A generative machine learning software based on AlphaFold was used to build the structure of CYP76AD1 since there are no structural data for this specific enzyme. After model validation, l-Tyr was docked in the active site of CYP76AD1 to assemble the reactive complex, whose catalytic distances remained stable throughout the 100 ns of MD simulation. Subsequent QM/MM calculations elucidated that l-Tyr hydroxylation occurs in two steps: hydrogen abstraction from l-Tyr by CpdI, forming an l-Tyr radical, and subsequent radical rebound, corresponding to a rate-limiting step of 16.0 kcal·mol-1. Our calculations suggest that the hydrogen abstraction step should occur in the doublet state, while the radical rebound should happen in the quartet state. The clarification of the reaction mechanism of CYP76AD1 provides insights into the rational optimization of the biosynthesis of alkaloids to eliminate the use of opium poppy.

Evaluating The Effectiveness of Nurse-Led Education on The Anxiety Level of Preoperative Candidates for Opening Vascular Access in Shariati Hospital

Background: Every year, many patients with Chronic Kidney Disease (CKD) undergo surgeries to provide suitable vessel access for hemodialysis. These surgeries cause significant anxiety in these patients. Therefore, this study was conducted to examine the effectiveness of nurse-led training on reducing the level of anxiety experienced by these patients. Methods: 38 patients were randomly selected from the candidates for vascular access opening at Shariati Hospital, Tehran, Iran. They were divided equally into two groups: cases and controls. The anxiety level was measured in both groups using the Spielberger State-Trait Anxiety Inventory at baseline. After 30 minutes of personalized training, the anxiety level was reevaluated in the cases and statistically compared with the anxiety level before the intervention using a paired t-test. Results: The mean baseline anxiety level was 40.94 in the cases and 40.42 in the controls. These numbers changed to 34.78 in the cases and 40.05 in the controls after the training intervention. Statistical comparison revealed a significant decrease in the case group (p = 0.048), while the observed difference was statistically insignificant in the controls (p = 0.788). Conclusions: Providing an appropriate personalized nurse-led educational package can significantly reduce the anxiety level in preoperative candidates for vascular access opening in kidney failure cases. Further studies are required to better develop the content of this training and also to determine whether a gap between the training and surgery is required to increase effectiveness.

Upaya Meningkatkan Kunjungan Wisatawan Melalui Strategi Packaging And Programming Paket Wisata Di Taman Kakao Cokelat Desa Banjaroya

Banjaroya Village, Kulon Progo Regency has many tourism potentials, one of which is the Chocolate Cocoa Park. As an educational tourist attraction based on agrotourism, the Chocolate Cocoa Park serves several activities offered to tourists related to the cultivation of Cocoa plants and Chocolate production. However, in this case, the Chocolate Cocoa Park has not packaged and programmed the activity services well. The results of the study show that there are several things that need to be fixed in packaging and providing educational package programs at the Chocolate Cocoa Park. The thing that needs to be fixed is the way to package the tour package, it needs to display an itinerary so that tourists feel easy and can manage their time to participate in the activity. Then the programming is by grouping the activities offered according to the focus of each activity so that tourists can choose what focus activities they want to participate in.

Design and validation of a questionnaire on the perception of learning differential equations using sofware in university students

Introduction: Differential equations' complexity and abstractness make teaching challenging in university settings. The use of educational software emerges as a valuable pedagogical tool to enhance the learning process.Objective: This research aimed to design and validate a questionnaire to know university students' perception of learning differential equations through software.Method: This mixed-methods research employed descriptive-explanatory methods to investigate the topic. A comprehensive literature review was conducted, key aspects of the study topic were identified, the target population and sample were determined, experts were selected, an initial 27-question questionnaire was developed, content validity and reliability were assessed, and data were analyzed. Content validity was established using the Delphi method with eight mathematics experts and validated further using Aiken's V coefficient. Reliability was assessed using Cronbach's alpha and Omega McDonald's coefficients, employing Statistical Package for Social Sciences (SPSS) statistical software.Results: The experts assessed the adequacy, relevance, and clarity of the questions, ultimately validating 17 questions with an Aiken's V greater than 0.80 (with a 95% confidence interval). For reliability, an Alpha of 0.799 and an Omega of 0.798 were obtained, confirming that the 17 questions are well-correlated and consistently measure the same construct.Conclusions: A 17-item questionnaire was developed with validated and consistent questions to gather reliable and accurate information on the perception of learning differential equations using educational software.

Unveiling maritime English communication needs for seafarer: Strategic reformation for classroom instructional design

The significance of onboard maritime English communication has led to the needs of innovation in language teaching strategies and instructional design. Mostly Indonesian seafarers faced serious problems to join ocean-going vessels due to maritime English proficiency. This study attempted to capture the essential demands of Indonesian seafarers joining an ocean-going vessel for their communication techniques using maritime English, with the goal of having a greater impact on the development of instructional design for Indonesian curriculum. Semi-structured interviews were conducted with 14 Indonesian seafarers assigned to different ocean-going vessels of various sorts, sizes, and foreign flags. Semi-structured interview was performed with three maritime English lecturers from different maritime education institutions in Indonesia. This study employed qualitative research by combining theory and using NVivo 12 Plus software as the coding method to understand and analyse data. The first finding indicated that operational maritime communication strategies such as in routine and special-message communication like safety, distress and urgency communications were required to create communication patterns. Second finding denoted challenges faced by Indonesian seafarers in having maritime communication such as unclear meaning resulted from improper word choices, different accents and pronunciations of the different socio-cultural of radio officers they spoke to, and due to sentence construction. The third finding revealed the focus of materials for each language skill for communication onboard. The whole findings implied that maritime-ESP teaching should reform with solemn education packages and instructional design heading toward the communicative competence to prepare cadets with the required needs of their future seafaring job.

Guest editorial: Special Topic on software for atomistic machine learning.

Guest editorial: Special Topic on software for atomistic machine learning.