Traditional Course Research Articles

An Empirical Study for the Dynamic and Personalised Learning Experience of the AI Course Generator

In a world that is quickly evolving, the demand for continuous learning and upskilling is critical for personal and professional growth. However, many learners struggle to create personalised, efficient learning paths tailored to their unique needs due to the limitations of traditional course creation methods, which require significant human input and expertise. This project aims to address this problem by developing "modulo," an innovative platform designed to automate the creation of personalised and structured learning paths. The objectives of “modulo” are to leverage artificial intelligence and external APIs to generate customised study plans for any chosen subject, integrate curated YouTube tutorials and supplemental materials, and enhance the learning experience with adaptive quizzes tailored to user progress. The methodology follows an Iterative-Waterfall approach, combining structured phases with iterative cycles to incorporate feedback and adapt to emerging challenges. The system architecture is built on a microservices framework, with a frontend developed using React and Next.js, and a backend supported by Supabase with Prisma for database management, NextAuth for user authentication, and Stripe for payment processing. The result is a scalable and maintainable platform that empowers diverse user groups by enhancing education accessibility. “modulo” provides a dynamic and personalised learning experience, making a meaningful impact on self-directed learning

Fourier Transforms in Digital Image Processing Courses

To help teaching and learning of Fourier transforms in digital image processing courses, an approach to the Fourier transforms from a standpoint of linear algebra is presented. After representing a periodic sequence by a circulant matrix, the periodic convolution can be formulated in terms of matrix multiplication, and finally, the Fourier transform is written in a form of matrix diagonalization. As a comparison, summation formulas are prevalent in traditional courses on signals and systems and matrices are scarcely found in textbooks of digital signal processing. We hope that this approach will make the Fourier transform easier to teach and learn in digital image processing courses.

Lowering the Stakes: Quasi-Experimental, Mixed-Methods Evaluation of a Restructured Grading Approach in a Graduate Public Health Research Methods Course

In schools and programs of public health, active learning and restructured feedback strategies may improve student learning and course performance compared to traditional lecture-based formats and grading systems. To promote student engagement and active learning, we implemented the team-based learning (TBL) model and a restructured grading approach based on principles of “ungrading” in the required behavioral research methods course of a master’s level public health curriculum. We conducted a quasi-experimental, mixed-methods evaluation of the implementation of restructured grading approach (two sections, n = 46) compared to the traditional grading approach (two sections, n = 34). For the restructured grading sections, numeric grades were removed for weekly team quizzes and team assignments. We administered and analyzed pre- and post-course surveys to compare perceived mastery of course learning objectives, intrinsic motivation, and perceptions of grading and instructor feedback by grading approach. Additionally, we compared course grades and final paper grades by grading approach and conducted two focus groups (one for each approach). The results indicate that students’ learning, satisfaction, and perceptions of the course were mainly equivalent across grading approaches. Students in the restructured grading sections demonstrated a few modestly improved outcomes compared to their peers in the traditional grading courses. Students in the restructured grading sections had slightly higher mean course grades, reported greater increase in confidence to critically evaluate research designs, and found team quizzes to be more helpful. Removing grades for team quizzes and assignments supported student learning and reduced student stress.

A SWOT Analysis of Small Private Online Courses

While some research has been conducted to identify the strengths and weaknesses of Small Private Open Courses (SPOCs), a significant research gap exists in comprehensively examining the opportunities and threats they face. To determine if SPOCs are beneficial to learners, the authors adopted the PRISMA protocol to filter literature for SWOT analysis in SPOCs. The authors identified and analyzed the strengths, weaknesses, opportunities and threats faced by SPOCs using a SWOT analysis method. The strengths of SPOCs include high-quality content and course delivery, accessibility, and personalization. Weaknesses involve lack of social interaction, limited resources, credentialing issues. Their opportunities consist of market growth, collaboration with other institutions, and access to new student markets. Their threats include competition from traditional courses, technology updates, and student privacy concerns.

Research on the Teaching Reform of "Videoization of Traditional Culture Courses" under Big Data

Traditional Chinese culture has given the Chinese nation great vitality and cohesion, and is also an important source of cultural self-confidence for generations of Chinese people. While the ideological education of contemporary college students, the promotion and inheritance of traditional culture is also essential. Taking the dynamic class as the communication carrier, introducing traditional culture and its cultural connotation in the form of micro-documentary, film and television advertisement, small video, etc., making full use of the new media platform, the material carrier of traditional culture is converged and disseminated through the microblogging, WeChat, Today's Headlines, APP, Tiktok and other big data, under the support of big data integration technology, researching the new breakthrough of traditional culture in the video dissemination teaching mode. With the support of big data integration technology, the study of new breakthroughs in traditional culture in the teaching mode of video dissemination can enrich the teaching curriculum and cultivate new talents in line with the requirements of social development, which not only can be applied and promoted in teaching, but also reflects the new exploration of new media on the dissemination of traditional culture.

Effectiveness of compressed online undergraduate courses

AbstractAs universities seek to innovate to meet the needs of students, compressed courses are becoming more prevalent. This study compares a compressed‐format course to a traditional format course in economics that were each taught in the summer. Results indicate that student performance in a compressed course differs in meaningful ways. Effort‐based assessments show that students in a compressed course perform just as well and, perhaps, better than students in a traditional‐length course. However, assessments measuring mastery of course material indicate performance declines in compressed courses. Student ratings also indicate that students may perceive their experience in a compressed course as being worse than in a traditional format. This article analyzes the differential performance between the two types of courses and provides a discussion regarding possibilities for future compressed course design.

대학 원격수업 컨설팅 및 효과성 평가 연구

Objectives Following the COVID-19 pandemic, a shift to distance learning occurred, and some classes continue to be held remotely. Although universities have conducted class consulting to adapt traditional lecture-based courses to remote formats, research evaluating the effectiveness of these consultations from the perspective of learners, the educational consumers, is lacking. This study aims to develop evaluation items for assessing the effectiveness of remote classes and to verify the effectiveness of class consulting. Methods Variables for evaluating the effectiveness of the remote transition of courses were identified through a review of prior research and case analysis. Based on these variables, effectiveness evaluation items were developed, followed by validation by experts. Consulting was then provided to instructors and courses at S University that had applied for it, and the effectiveness of remote classes was assessed using the developed evaluation items. Results Through expert validation, the final evaluation factors identified were “perceived academic achievement,” “learning satisfaction,” “learning engagement,” “intention to continue learning,” “learning immersion,” and “self- regulated learning,” with specific items developed for each factor. The study found that all six areas improved significantly in undergraduate classes, while in graduate classes, all areas except self-regulated learning showed significant improvement. Conclusions Consulting for the improvement of classes, including remote classes, will continue to be important in the future. There is a need to evaluate the effectiveness of consulting for remote classes using the evaluation tool presented in this study.

Perceptions on Traditional Minority Sports: Bases for the Improvement of the Physical Education Curriculum

This study aimed to analyze the current situation of traditional minority sports curriculum teaching in Guangxi universities and to propose future development directions for the curriculum based on the research results. By combining qualitative and quantitative methods, this paper makes data statistics on traditional minority sports from the aspects of current situation, teaching environment and curriculum reform, and analyzes the relevant statistical data. The data collected in this study were 400 students, 73 teachers, and 20 college officials from four universities. The respondents are continuously concerned about the teaching objectives, teaching status and teaching influencing factors of traditional minority sports courses in schools. Through the interviews with the investigators, some useful suggestions are put forward for the future school PE teaching and curriculum reform. Based on the survey and research results, the researcher proposed suggestions for physical education in universities and schools in Guangxi. The researchers proposed updating teaching methods, improving work incentive mechanisms, and constructing excellent ethnic cultural inheritance concepts that have profound significance for enhancing the inheritance and development of traditional minority sports.

Theory-Guided Multiclass Text Classification in Online Academic Discussions

ABSTRACT Machine learning (ML) and deep learning (DL) provide significant opportunities to enhance our understanding of idea generation in asynchronous online discussions (AODs). Drawing on the interaction analysis model (IAM) as our theoretical framework, we built one baseline ML and three DL systems to automate message classification when assessing collaborative knowledge construction depth in academic AODs. The viability of these systems was demonstrated via four offerings of a traditional online course. We achieved 79% as the highest overall accuracy score across all phases of the IAM. To the best of our knowledge, this study is the first to classify AOD messages across all IAM phases. We contribute to the theory by updating the IAM to better explain how to promote deeper interactions in AODs. Additionally, we provide a methodological blueprint for future research where classifying text is crucial.

Acaso no esté/está todo dicho. Nuevas hipótesis sobre acaso y el subjuntivo en oraciones independientes

This study endeavors to examine the Spanish adverb acaso through a diachronic lens, offering novel hypotheses to elucidate its etymological derivation, the intricacies of its grammaticalization process, and its progressive selection of the subjunctive mood within independent sentences. Etymologically, compelling evidence is presented, establishing a linguistic lineage with late Latin. Concerning its grammaticalization, intricate connections are posited with the expression por (a)ventura. Regarding the selection of the subjunctive mood, the study reveals a recent shift, notably gaining prominence since the 18th century and persisting to the contemporary era. Lastly, an analytical inquiry into the determinants behind the subjunctive mood’s modern trajectory is undertaken, comparing it with the traditional course of the indicative mood.

Use of High-Fidelity Simulation as an Adjunct to Basic Life Support Training To Promote Team-Based Resuscitation Skills: A Mixed-Methods Pilot Study.

Introduction The 2020 American Heart Association's (AHA) Basic Life Support (BLS) curriculum focuses on cardiac arrest resuscitation with one or two rescuers, providing only limited opportunities to develop higher-level skills such as leadership, communication, and debriefing. This mixed-methods pilot study evaluated whether supplementing the traditional Heartcode BLS course with a high-fidelity teamwork simulation session improved mastery of these higher-level skills. Methods Twenty-four first-year medical students completed the pilot training during sessions offered in February and May of 2023. The program included the traditional AHA Heartcode BLS course, which ranges from two to four hours, and includes both online and in-person skills components. This was followed by a 90-minute high-fidelity simulation session consisting of two simulated resuscitationsseparated by a student-led plus/delta debriefing. Facilitators then debriefed the entire activity. Students completed an anonymous online survey that used a 0-10 slider scale to attribute their perceived proficiency for specific skills to the initial BLS course or the teamwork simulations and provided qualitative feedback. Results Twenty-one students (87.5%) completed the follow-up survey. Students credited their proficiency in technical skills (e.g., "Chest Compressions") to both sessions equally, but proficiency in higher-level skills, such as leadership, communication, and teamwork, was predominantly credited to the simulation. Additionally, students reported that the teamwork simulation promoted realism and increased self-efficacy. Conclusion Team-based resuscitation simulations using high-fidelity equipment augmented the AHA BLS course by promoting perceived competence in team dynamics domains and increasing students' self-efficacy for participating in real hospital-based resuscitations. Studies with larger sample sizes and objective data should be performed, and the use of similar resuscitation simulations or the development of a formal team-based BLS certification course should be considered.

Significance and Strategy of Developing Chinese Traditional Business Culture Curriculum Standards in Chongqing Business Colleges

Business culture has been passed down in China for thousands of years and plays an important role in cultivating outstanding business talents. The purpose of this paper is to explore the significance and strategy of developing the curriculum standard of Chinese traditional business culture. First of all, by analyzing the concept of business culture, we can deeply understand the unique value of Chinese traditional business culture. Secondly, it discusses the significance of the development of business culture curriculum standards for cultivating students' professional quality, providing cultural support for innovation and entrepreneurship education and building a cultural power, and recognizes its importance to business college education. Finally, according to the data obtained from the questionnaire survey, this paper puts forward some strategies and suggestions for developing Chinese traditional business culture courses in Chongqing business colleges. Through this study, first, I hope to provide support for Chongqing business colleges to cultivate business talents with Chinese business wisdom and innovation ability; Second, I hope to promote the unique value of Chinese traditional culture in the commercial field to be more widely recognized and applied.

The Impacts and Experiences of Corequisite Remediation for Latino Students

ABSTRACT Many colleges across the United States are scaling corequisite remediation, an approach that places developmental education students directly into college-level courses with supplementary, aligned academic support. We conducted a randomized control trial in five colleges with ethnic diversity, offering a unique opportunity to examine the benefits of corequisite remediation for Latino students. Latino students represent a large portion of the U.S. college student population and are overrepresented among developmental education participants. We found positive impacts on college-level English course completion for Latino and non-Latino students when randomized to corequisites, and estimates suggest that Latino students saw larger benefits. Further, Latino students in corequisites were less likely to report feeling academically overwhelmed and/or bored relative to their Latino peers in traditional developmental education courses. This evidence suggests that corequisites can support improved academic success and potentially help to address gaps between Latino and non-Latino students in early college course completion. On the other hand, we found some evidence of less frequent Latino student engagement in discussions and asking questions relative to non-Latino students in corequisites (a pattern not observed in traditional developmental education courses), so it may be important to ensure that corequisite classrooms are inclusive and encourage broad student participation.

Research on the Reform of Management Accounting Teaching Mode under Background of Artificial Intelligence

Through the research on the reform of management accounting teaching mode under the background of artificial intelligence, this paper puts forward some reform measures such as updating the teaching content, innovating the teaching method and reforming the teaching evaluation. In terms of updating the teaching content, this paper proposes to integrate artificial intelligence technology into the teaching content of management accounting, add cutting-edge courses such as data analysis, data mining and intelligent decision-making, and update traditional courses such as cost management and budget management to combine them with artificial intelligence technology. In terms of teaching method innovation, this paper proposes to adopt the combination of online and offline teaching mode, introduce cases of data analysis and prediction model, and introduce diversified teaching methods such as case teaching and simulated practical training. In terms of teaching evaluation reform, this paper proposes to build a holographic data monitoring system for learning process based on artificial intelligence technology to provide personalized learning suggestions and feedback, so as to achieve scientific and accurate teaching evaluation.

Alternative grading strategies in organic chemistry: a journey

The global pandemic forced educators at all levels to re-evaluate how they would engage content, generate relevance, and assess the development of their students. While alternative grading strategies were not necessarily new to the world of chemical education research (CER) in 2020, the pandemic accelerated the examination of such principles for instructors who wished to prioritize learning over compliance with course policies and eschew points for grading. This article describes the transformation of a traditional lecture organic chemistry course under new, standards-based principles. Working from a discrete set of grouped learning outcomes, these courses aim to clearly define standards, give helpful feedback, indicate semester-long student progress, and allow for reattempts without penalty using a token system. Students explore both core (all of which must be passed in order to show progress) and non-core (students can choose a majority of these to pass) learning outcomes in a variety of formative and summative assessment approaches. Unique to the reformatting of these courses is the use of collaborative, take-home assessments, integration of multiple-choice questions, ungrading of student-submitted summary notes, live solving of select problems with peer feedback, and a learning check system that reinforces the flipped nature of content delivery. Another distinctive feature of the courses is the requirement for students who reach a certain threshold of repeating learning outcomes to perform in-person problem solving for the instructor. Overall, students report that the structure of the courses reduces their general and specific anxiety, lowers the temptations to challenge their academic integrity, and increases their own learning self-monitoring, reflecting known pedagogies of metacognition. The instructor reports that alternative grading strategies take far less time, generates more meaningful feedback, and shifts student attitudes away from final grading and toward genuine learning.

An empirical analysis of the effects of nudge-based measures on job seekers' participatory behavior in the Care Worker Initial Training

Objectives The study aim was to explore effective measures to promote job seekers' participation in the Care Worker Initial Training course provided by Hello Work.Methods In this study, we adopted the nudge approach as a method to promote behavioral changes based on a knowledge of behavioral economics. Additionally, we tested the effectiveness of nudge-based measures compared to that of conventional measures. The survey was conducted through two rounds of Web distribution. In the first Web distribution, we consistently implemented the following, in order: 1) recruited individuals who agreed to participate in the study, 2) distributed the first Web questionnaire regarding basic attributes and eligibility criteria in terms of the target individuals, and 3) distributed course guidance. Individuals who responded to the first Web questionnaire (n=50,000) were randomly assigned to eight groups. The intervention groups were presented with course guidance based on loss-aversion nudge, empathy nudge, long-term gain nudge, and their combinations. The control group was presented with traditional course guidance used by the Ministry of Health, Labour and Welfare over the Web. Two weeks after the intervention, we identified 2,404 individuals who met the eligibility criteria and assessed their behavioral changes (pre-contemplation, contemplation/preparation, information-gathering, action); we received responses from 1,995 individuals. Binomial logistic regression analyses were performed using nudge-based interventions and behavioral change stages as dependent and independent variables, respectively. Sex, age, education level, marital status, interest in caregiving before the intervention, and behavioral change stages before the intervention were included as moderator variables.Results A total of 1,995 individuals were included in the analysis. Among the 1,756 participants in the intervention groups, 321 (18.3%) took on contemplation/preparation behavior, 102 (5.8%) took on information-gathering behavior, and 50 (2.8%) took action by participating in the course. Among the 239 individuals in the control group, 38 (15.9%) took on contemplation/preparation behavior, 31 (13.0%) took on information-gathering behavior, and 2 (0.8%) took action by participating in the course. Binomial logistic regression analyses showed that while traditional measures were effective in promoting information-gathering behavior toward participation, nudge-based measures combining loss-aversion nudge, long-term gain nudge, and empathy nudge were effective in motivating individuals to participate in the course (odds ratio: 5.39, 95%CI: 1.18-24.74, P=0.03).Conclusion The introduction of measures combining multiple types of nudges is necessary to promote participation in the Care Worker Initial Training course, rather than traditional measures or a nudge in isolation.

The Application of Chinese Traditional Talents in International Chinese Education

Chinese traditional talents are integral to China's rich cultural heritage. In the context of contemporary international Chinese education, there are pressing issues in the application of these talents. This paper analyzes the advantages and shortcomings of Chinese traditional talents in international Chinese education, utilizing the "cultural triangle" methodology to propose a streamlined "Chinese Traditional Talent Triangle" comprising talent concepts, activities, and products. Using specific talents such as "tea art" and "Chinese opera" as exemplars, it puts forth design and assessment strategies for the implementation of the Chinese Traditional Talents. Additionally, it offers insights for optimizing the dissemination and application of Chinese traditional talents: Designing Chinese traditional talent courses with a focus on "language skills +vocational proficiency"; enhancing the competence of International Chinese language teachers in Chinese traditional talents; fostering "talent concepts": innovating the "talent activities" platform and "talent products" brand.

A Study on the Application of Python in Corporate Financial Analysis

This article examines the application value, current status, and challenges of Python in corporate financial analysis and proposes targeted solutions to enhance its extensive use in financial practices. Currently, despite Python being recognized as a key tool to bolster corporate financial analysis due to its robust capabilities in data processing and analysis, its application in finance departments is limited by several core issues: a general lack of programming knowledge among finance professionals, insufficient operational training, and a lack of policy guidance for digital technology transformation. To address these issues, the paper puts forward five recommendations: 1) leverage the guiding role of governments and accounting associations; 2) continuously improve higher education programs for finance and accounting talent, integrating programming skills with traditional accounting courses; 3) strengthen university-enterprise cooperation and deepen teachers' enterprise practice; 4) develop comprehensive internal training and incentive mechanisms within companies; and 5) transition from abstract application guidelines to detailed application instructions. These strategies aim to significantly enhance the Python application skills of finance personnel, drive the digital transformation of the financial industry, and thereby generate greater value for businesses.

PECULIARITIES OF ADAPTATION AND COURSE OF POST-TRAUMATIC STRESS DISORDER IN SERVICEMEN DEPLOYED TO INTENSE COMBAT ZONES

In the context of war, post-traumatic stress disorder (PTSD) emerges as one of the most prevalent psychological conditions, particularly among military personnel deployed in combat zones. The primary triggers for PTSD in military personnel often include the loss of comrades or the necessity to use lethal weapons, resulting in significant consequences. For PTSD to manifest, individuals must undergo a traumatic experience that exceeds normal human stress levels and leads to distress. The aim of this study is to investigate the course of PTSD in military personnel who have been exposed to intense combat operations and to explore their maladaptive manifestations. The study comprised 38 patients diagnosed with PTSD (F43.1) according to the ICD-10, who received treatment at the Regional Mental Health Care Institution for the Protection of the Armed Forces. All patients provided informed consent to participate in the study. A structured clinical diagnostic interview known as CAPS-DX was applied in this study. Developed based on the DSM-IV, this interview assesses the symptoms of posttraumatic stress disorder (PTSD), the duration of the disorder, and the degree of impairment of social functioning. The CAPS-DX scale provided insights into the presence of PTSD symptoms both currently and throughout the individual's life following psychotrauma. To diagnose psychosocial maladjustment and its characteristics, we employed the Psychosocial Maladjustment Scale by L. Herasymenko (2018). Clinical and anamnestic examinations revealed that 86% of servicemen had experienced multiple traumatic events, indicating a history of several psychotraumas. The study identified that the primary psychopathological manifestations of PTSD did not differ significantly from the traditional course of the disorder, but they were more intense and pronounced in this group of servicemen. The study has demonstrated that servicemen with combat experience and PTSD exhibited reduced levels of psychosocial adaptation. Their adaptive resources and capabilities, as well as their neuropsychological stability, were significantly diminished, along with a decrease in their communication abilities. Based on the overall level and quality of social and psychological adaptation, three levels of adaptation/maladaptation were distinguished among servicemen with combat-related PTSD: sufficient, partial, or maladaptation. It should be noted that the levels of adaptation were correlated with the severity of anxiety. Servicemen with sufficient adaptation typically exhibited low levels of anxiety, while those with partial adaptation showed an average level, and those with maladaptation displayed high levels of anxiety. The study revealed a spectrum of psychopathological manifestations in servicemen who were in the combat zone, ranging from semiotic complexes resembling panic attacks to psychogenic catalepsy. Furthermore, it was found that servicemen with combat experience and post-traumatic stress disorder had reduced levels of psychosocial adaptation, which correlated with the severity of anxiety.

A Visualization Tool to Study Dyadic Caregiving Health Profiles.

Guided by a life course perspective and fundamental cause theory, this study aims to visualize co-trajectories of health between partners and examine how changes in one spouse's cognitive status can cohesively impact the health of the other spouse along three dimensions (functional, mental, and cognitive). Drawing longitudinal data from the Health and Retirement Study 2000-2016 (N = 3582), we measure women's health profiles by functional limitation (physical health), depression (mental health), and cognitive function (cognitive health). We use multivariate linear mixed models to summarize these paths in the same visual representation. The approach provides a visualization tool that depicts data and model in the same spatial representation allowing assessment of model fit and comparison. This study advances the traditional life course studies by representing underlying processes as a multidimensional time vector of health outcomes. The described approach provides a blueprint for studying complex health profiles or trajectories.