Hybrid Teaching Research Articles

Using case-based learning supported by role-playing situational teaching method in endocrine physiology education.

Embedding clinically relevant learning experience in basic science subjects is desired for the preclinical phase of undergraduate medical education. The present study aimed to modify case-based learning (CBL) with a role-playing situational teaching method and assess the student feedback and learning effect. One hundred seventy-six sophomore students majoring in clinical medicine from Harbin Medical University were randomly divided into two groups: the control group (n = 90), who received traditional hybrid teaching, and the experimental group (n = 86), who received the role-playing situational teaching. Students in the experimental group were given a 1-wk preclass preparation to dramatize a hyperthyroidism scenario through online autonomous learning of thyroid physiology and performed the patient's consultation process in class, followed by a student presentation about key points of lecture content and a question-driven discussion. A posttest and questionnaire survey were conducted after class. The test scores of the two groups had no statistical differences, whereas the rate of excellence (high scores) of the experimental group was significantly higher than that of the control group. Furthermore, the record of online self-directed learning engagements was significantly improved in the experimental group. In the questionnaire, >70% of the students showed positive attitudes toward the role-playing situational teaching method and were willing to participate in other chapters of the physiology course. Such results show that CBL supported by a role-playing situational teaching method encourages active learning and improves the application of basic knowledge of physiology, which can be incorporated in the preclinical curricula to bridge the gap between theory and practice.NEW & NOTEWORTHY Formal application through structured role-play is often overlooked in physiology education. In traditional case-based learning (CBL), clinical cases are the subject and unfocused discussion often occurs. The present study aimed to modify CBL with a role-playing situational teaching method and assess the student feedback and learning effect. The results show that the new teaching model encourages active learning and improves the application of basic knowledge of physiology.

Enhancing students’ L2 writing skills online: a case study of an introductory English literature course for ESL students

Abstract This research paper is based on a case study of an introductory English literature course that is being offered at a community college in Hong Kong, China. The 2020–2021 cohort was unique as it had the entire course online using Zoom without any face-to-face or hybrid teaching, which was considered the “new normal” of higher education under the pandemic. This study employs narrative inquiry (Barkhuizen, G. (2014). Revisiting narrative frames: An instrument for investigating language teaching and learning. System, 47, 12–27; Clandinin, D. J. (2016). Engaging in narrative inquiry. Routledge), semi-structured interviews, and analysis of student essays to demonstrate that online essay consultations and collaborative writing are useful for enhancing the essay writing skills of second language learners. The paper specifically reports and highlights how individual Zoom essay consultations, together with collaborative writing on Padlet, scaffold and enhance students’ essay writing and critical thinking skills. Essentially, the paper argues that online technologies expand the dimension of literature education and empower it as a form of content-based ESL instruction for long-term use.

教育部产学合作协同育人项目结项项目：基于在线开放课程的药理学实践平台建设

药理学是医学、药学本科的专业必修课，是学校药学专业精品课程群主干课程之一。本项目利用在线开放课程资源为基础，探索线上线下混合式教学模式，与企业充分合作建设药理学实践平台，构建情境、交互、体验、反思为一体的深度学习模式，让学生更加积极主动参与学习，符合新时代医药学专业人才培养模式的需求。本项目旨以在线开放课程为基础建设药理学实践平台，构建药理学线上线下混合式教学体系，优化教学资源，提升育人成效。本项目与企业充分联合、广泛合作，在教师教学理念提升、教学模式改革以及育人实践方面取得了一定的成效。 Pharmacology is a compulsory course for undergraduate students in medicine and pharmacy, which is one of the main courses in Pharmaceutical major course group. This project utilizes online open course resources as the foundation to explore a hybrid teaching mode of online and offline, and fully cooperates with enterprises to build a pharmacology practice platform. It constructs a deep learning mode that integrates context, interaction, experience, and reflection, allowing students to actively participate in learning, which meets the needs of the new era of medical pharmacy professional talent training mode. This project aims to build a pharmacology practice platform based on online open courses, construct a mixed online and offline teaching system for Pharmacology, optimize teaching resources, and enhance educational effectiveness. This project has achieved certain results in enhancing the teaching concept of teachers, reforming teaching models, and practicing education through full collaboration and extensive cooperation with enterprises.

Application of a Combination of Two Teaching Methods in Pediatric Teaching

Pediatrics is one of the clinical professional courses that is highly practical. The traditional single teaching method is inconducive to stimulating students’ interest in learning, resulting in a poor classroom teaching effect. To change the traditional single teaching model and promote and improve the development of pediatric teaching, according to the level of pediatric teaching, colleges can consider combining two teaching methods to carry out pediatric teaching. The main research in this paper is the combination of PBL (problem-based learning) teaching and CBS (case-based study) teaching. An overview of the two teaching methods is first given, and then the application significance of the combination of the two teaching methods is analyzed. Lastly, it explores the specific implementation of hybrid teaching methods in pediatric teaching.

Using FastTest PlugIn for the design of remote and hybrid learning environments to improve the engineering skills of university students

AbstractResearch on improving engineering skills in students advocates for high‐quality teaching practices as well as the implementation of digitally enhanced management systems, such as e‐Learning. Furthermore, COVID‐19 led to several changes in education, such as switching drastically from face to face to emergency remote and later hybrid teaching. This study has focused on the proposal, the application and the evaluation of a new e‐Learning teaching method. FastTest PlugIn has been used for the creation of large sets of questions, to develop parameterised and individualised exercises in Moodle. The method has been applied since COVID‐19, considering different types of teaching: completely remote, hybrid and face to face. It has been implemented in some courses of the bachelor's and master's degree in engineering at the University of Cadiz (Spain). The academic performance and students' feedback on the method have been obtained. During remote teaching, students presented lower scores than before the pandemic. However, as students became familiar with the method and at least face‐to‐face exams were carried out, the scores and students' perception of the difficulty of the courses improved. The main novelty of this method is the reliability of creating different exercises for a consistent level of difficulty; the ability to avoid dishonest actions of students; and the time saved by instructors, as exercises are automatically corrected. This study provides the advantages and benefits of digitally enhancing university teaching. Furthermore, it is the first to investigate the integration of FastTest PlugIn to enhance teaching quality and engineering skills.

Research and Practice of Structural Mechanics Teaching Design in the Digital Age

This paper explores innovative strategies and practical applications for teaching structural mechanics courses in the digital era. The focus is on analyzing how online-offline hybrid teaching models can optimize the educational process in structural mechanics and enhance teaching efficiency and student learning outcomes. The paper elaborates in detail on how digital technologies support the teaching of structural mechanics, including the use of various digital tools and platforms to foster student interaction and participation, as well as improve their understanding and mastery of course content. Additionally, the research discusses the effective integration of ideological and political education within structural mechanics teaching, aimed at fostering students' comprehensive abilities. This study provides new perspectives and methods for the teaching design of structural mechanics and related disciplines in a digital learning environment.

Entrepreneurial education in a pandemic era: Timeframes, demographics, and the nexus between teaching and experiential learning

Purpose: This study examines the transformative effects of the COVID-19 pandemic on entrepreneurial education during and after the pandemic. Methodology: Using action research-based case study with a mixed data collection method, that spans pre-, during, and post-COVID-19. Data collection involved class discussions in a final mandatory class, surveys sent after the end of the class, and official course evaluations. Findings: The pandemic-induced changes highlighted that extended instructional timeframes do not necessarily yield better entrepreneurial outcomes. A condensed, immersive approach fostered innovation and improved entrepreneurial mindsets. The hybrid teaching model introduced by the pandemic enriched class demographics, offering a broader spectrum of perspectives and enhancing discussions. Implications: The shift to digital and hybrid teaching models brought diverse student profiles, which, when appropriately harnessed, can enrich classroom discussions and peer learning. Future research should delve deeper into the motivations of distinct student groups and the long-term effects of current teaching strategies on entrepreneurial endeavors.

An exploration of hybrid instruction intentions amongst higher education teachers in post-Covid-19 times

ABSTRACT This study used the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to (i) predict factors influencing HE faculty members’ acceptance of hybrid instruction and (ii) identify factors influencing the faculty members’ behavioural intention to use hybrid instruction. Data were analysed using SPSS 22 and AMOS 23 software. Structural equation modelling techniques were used to analyse 114 data responses gathered online from faculty members. Results show that performance expectancy, social influence, hedonic motivation, regulators’ support and project team capability affected the behavioural intention of faculty members to use online teaching, whereas effort expectancy, facilitating conditions, price value and facilitating leadership did not. The results confirmed the direct impact of behavioural intention of faculty members on the use of online teaching. This research further extends the unified theory of acceptance and use of technology by introducing and validating three new constructs: facilitative leadership, regulatory support, and project team capability. The findings of the study add significant value to the acceptance of hybrid teaching among teachers, and informs how faculty members might be trained and supported.

Effect of Organizational Support in Terms of Training, Autonomy, and Technology on Work Engagement at Private Universities in Bangkok, Thailand

With rapid changes in technology, working styles in universities have also changed from traditional face-to-face to online and hybrid teaching. This study focused on the work engagement of faculty and staff at three private universities in Bangkok. The focus of the investigation was on how organizational support, in terms of training, autonomy, and technology, influenced the work engagement of faculty and staff in adopting new working styles. A self-administered questionnaire was used in the study. Valid questionnaire responses (N = 329) received were subjected to ordinal linear regression analysis. The results obtained indicated that organizational support in terms of training, autonomy, and technology was positively associated with work engagement (p = .009, .009, and .000 respectively). It is suggested that the universities need to provide sufficient training, autonomy, and technological know-how to their faculty and staff to help them transition to new ways of working smoothly. Finally, some managerial implications arising from the study are provided.

Digital Technology: Research on the Construction and Application of Blended Teaching Curriculum of Practical Physical Education Classroom Teaching Skills in the Big Data Background

Big data is bringing discipline to education. Under the guidance of digital technology, education has ushered in the upsurge of digital reform, digital course teaching has gradually entered the public's vision, and the upsurge of digital course open education is coming. The paper adopts the research methods of literature, field investigation and logical analysis, and takes the construction of digital curriculum mixed teaching course based on the platform of Superstar Learning as the research object. This paper constructs the curriculum construction ideas in three stages of "pre-class, mid-class and after-class", and draws the following conclusions through the research of blended teaching curriculum practice in the big date background: Build digital media teaching resource library, record multi-platform online teaching videos, practice dual-track mixed teaching, pre-set interactive classroom teaching activities, after-school homework to consolidate and improve classroom learning, online examination to achieve teaching effect evaluation and feedback, etc. And summed up four practical experiences of multi-style one-click check-in function to help class attendance, interactive teaching activity function to achieve subject participation, paperless online evaluation function to detect learning effect, digital courses to break the limitation of time and space. Digital technology improves the convenience of course teaching and forms a visual teaching effect. Digital technology provides new ideas for digital curriculum teaching. The existence of digital curriculum provides more possibilities for personalized learning, while hybrid teaching promotes the interaction and cooperation between students and teachers. Build an online learning platform based on big data to support computer technology, and guide students to conduct simulation and practice in the teaching process.

A Frame Work for Development of Hybrid-teaching Factory (H-TEFA) Model on Virtual Lab application

The core of Industry 4.0 is the extensive use of Information System in organizational business processes. The competency of System Analysis and Design is required by companies as an expert in Information System development. UNITAMA, a higher education institution, is developing a program of study in Information Systems that produces competent professionals with a discipline in Analysis and Information System Design. The university will strengthen student competencies through a collaborative approach between the learning process and IDUKA. The type of research is Research & Development (R&D) research so that the process of developing virtual learning media technology media for the Hybrid Teaching Factory (H-TEFA) model is directed and systematic, so in this research and development using the ADDIE development model which consists of five development stages (analysis, design, product manufacturing, implementation and evaluation). The Virtual Lab is a modern learning method based on the Learning Management System (LMS) that provides students with more dynamic and customized educational materials for practical learning. The Virtual Lab UNITAMA is the development of a practical learning method designed and adapted to the needs of the Analysis and Information System Design course based on the IDUKA Information System, utilizing web-based IT technology that allows learning to take place remotely, not limited to the classroom and specific hours. The model of collaboration between teachers, students, and IDUKA in the Analysis and Information System Design course is enabled by the rapid development of technology and information systems in the era of Industry 4.0, using e-learning/LMS systems that are integrated with Virtual Lab. The Link & Match policy between the education sector and IDUKA is expected to improve the competencies of graduates and align them with IDUKA's specific needs.

Flipped online teaching of histology and embryology with design thinking: design, practice and reflection

BackgroundFlexible hybrid teaching has become the new normal of basic medical education in the postepidemic era. Identifying ways to improve the quality of curriculum teaching and achieve high-level talent training is a complex problem that urgently needs to be solved. Over the course of the past several semesters, the research team has integrated design thinking (DT) into undergraduate teaching to identify, redesign and solve complex problems in achieving curriculum teaching and professional talent training objectives.MethodsThis study is an observational research. A total of 156 undergraduate stomatology students from Jining Medical University in 2021 were selected to participate in two rounds of online flipped teaching using the design thinking EDIPT (empathy, definition, idea, prototype, and test) method. This approach was applied specifically to the chapters on the respiratory system and female reproductive system. Data collection included student questionnaires, teacher-student interviews, and exam scores. GraphPad Prism software was used for data analysis, and the statistical method was conducted by multiple or unpaired t test.ResultsAccording to the questionnaire results, the flipped classroom teaching design developed using design thinking methods received strong support from the majority of students, with nearly 80% of students providing feedback that they developed multiple abilities during the study process. The interview results indicated that teachers generally believed that using design thinking methods to understand students' real needs, define teaching problems, and devise instructional design solutions, along with testing and promptly adjusting the effectiveness through teaching practices, played a highly positive role in improving teaching and student learning outcomes. A comparison of exam scores showed a significant improvement in the exam scores of the class of 2021 stomatology students in the flipped teaching chapters compared to the class of 2020 stomatology students, and this difference was statistically significant. However, due to the limitation of the experimental chapter scope, there was no significant difference in the overall course grades.ConclusionThe study explores the application of design thinking in histology and embryology teaching, revealing its positive impact on innovative teaching strategies and students' learning experience in medical education. Online flipped teaching, developed through design thinking, proves to be an effective and flexible method that enhances student engagement and fosters autonomous learning abilities.

Study on the Reform of Hybrid Teaching of Tax Analysis and Management Based on OBE and PBL Teaching Models

In order to cultivate application-oriented talents, actively promote the teaching reform of vocational education of tax association, innovate the teaching reform mode, introduce the OBE education concept and PBL teaching mode in the course teaching, start from the learning outcome, focus on the outcome and problem-oriented, focus on the specific problem situation, integrate the problem situation into the specific teaching content, and cultivate the students to master the skills of solving the actual problems. This study is based on the OBE concept, the reconstruction of higher vocational tax analysis and management courses, combined with the PBL problem-oriented teaching mode for the implementation of the course, the implementation of the effect of the analysis of the summary, adhere to the integration of science and practice, to the goal of job competency, to deepen the change of teaching into a driving force to the center of the student cultivation, construction of the talent training system in line with the needs of the new era, to provide a reference value for the application of the OBE + PBL teaching mode in the higher vocational course. It provides reference value for the application research of OBE+PBL teaching mode in higher vocational courses.

Student satisfaction in the context of hybrid learning through sentiment analysis

<span lang="EN-US">With the incursion of data science into the academic field and the massification of social networks, it is possible to extract information on student satisfaction that contributes to feedback on teacher teaching strategies and methods. This article aims to determine student satisfaction with teaching performance, through sentiment analysis. Methodologically, the research is of a non-experimental longitudinal design, with a quantitative approach. Data collection was carried out through the social network Twitter, and data analysis was carried out through the sentiment analysis technique. As a result, it was identified that in the first week of class, the highest level of satisfaction was obtained, reaching 96.3% of the total number of students. Meanwhile, in the evaluation weeks, the highest level of dissatisfaction was reaching 29.17%. It is concluded that when going from totally virtual learning to hybrid learning, students express a certain level of dissatisfaction typical of a process of progressive adaptation. Therefore, teachers should take advantage of these findings to redesign assessment rubrics in the context of hybrid teaching. Aspects such as collecting opinions through social networks and extracting a degree of satisfaction through them apply in a crossed way to other professional fields.</span>

Co-design of an optimal distance learning model adapted to rural areas of Morocco in primary school

This participatory research aims the co-design of an optimal distance education system adapted to rural areas, in collaboration with local stackholders. We adapted semi-structured interviews with each group (school principals, teachers, students, parents) that allowed us first to evaluate the teaching models used in their environment. Secondly, with a collaborative working group, the results of the analysis are used to identify and plan corrective actions for these models. The outcome of the corrective actions allowed us to co-design in each school an optimal 3D model to improve the performance and use of distance or hybrid teaching practices.
 The idea of the designed model is to set an internet generator in the schools to provide good network to the whole region. The stakeholders also designed their specific tablet, which is connected to an intranet, and that only works between the school and the students’ devices, ensuring that the student would not have access to any other content than education. The teacher will have a similar device, he will receive the students' comments, and he will be able to clarify or answer the students’ questions individually or in groups, online or during the face-to-face lesson. Students wanted their device to be uploaded with interactive lessons to make them feel like they were in a genuine class. In addition, they wanted parental aid during the home study process.

Hybrid Teaching Model of College English Based on Collaborative Filtering Recommendation Algorithm

A recommendation system is a powerful tool that analyzes user preferences and behaviors to provide personalized suggestions or recommendations. By leveraging algorithms and data analysis techniques, recommendation systems help users discover relevant content, products, or services tailored to their individual interests and needs. Whether recommending movies, music, books, or products, these systems enhance user experience by minimizing the effort required to find relevant information or items. Additionally, recommendation systems benefit businesses by increasing customer engagement, satisfaction, and sales through targeted recommendations. The recommendation systems play a crucial role in optimizing decision-making processes and enhancing user satisfaction in various domains. This paper introduces a novel hybrid teaching model for college English, integrating the Collaborative Filtering Recommendation Algorithm with Hybrid Ant Whale Optimization Collaborative Filtering (HAWO-CF). The proposed model aims to personalize English language instruction by leveraging collaborative filtering techniques to recommend tailored learning materials and activities to students. Through simulated experiments and empirical validations, the efficacy of the HAWO-CF-enhanced hybrid teaching model is evaluated. Results demonstrate significant improvements in student engagement, comprehension, and learning outcomes compared to traditional methods. For instance, students using the HAWO-CF model exhibited a 25% increase in vocabulary retention and a 30% improvement in reading comprehension scores. Additionally, the model enabled instructors to optimize teaching strategies based on real-time feedback and performance data, leading to more effective and adaptive instruction. These findings underscore the potential of hybrid teaching models with HAWO-CF in revolutionizing college English education, and fostering personalized and impactful learning experiences.

Development of a hybrid teaching factory model based on school governance in improving employability skills of vocational students

This research aims to develop a framework for a hybrid teaching factory model that combines face-to-face and online learning with information and communication technology to improve employability skills in the new normal era. The research method uses the ADDIE Research and Development model, which consists of five stages: analysis, design, development, implementation, and evaluation. The research was conducted in several vocational high schools in DKI Jakarta Region, Indonesia. The findings in the research prove that the implementation of hybrid learning has an impact on students and teachers. Hybrid learning teaching factory is proven to be able to overcome frustrations and limitations between teachers and students in the learning process through online facilities, making teaching factory learning more innovative because there are variations of learning to interact and discuss, and making the classroom atmosphere conducive because students become happy and active in learning and skilled in working. The success of a hybrid teaching factory is considered mutually beneficial for both students and teachers who complete one of the teaching factory learning curriculums while industry instructors develop and work on collaborative platforms that provide useful services such as augmented reality and virtual reality-based applications.

Blended intensive programme’s implementation in dental education: post-pandemic evolution of learning

Blended Intensive Programmes (BIP’s) represent a valuable tool for gathering knowledge and summarising the latest trends in medicine and dentistry. Blended education has been found, even before the COVID-19 pandemic, to increase the level of education and stimulate effective learning for postgraduate healthcare professionals. Interprofessional education is critical for preparing students to enter the health workforce, where teamwork and collaboration are important competencies. This article outlines the key points of the Blended Intensive Programme’s implementation in dental education organised by Wroclaw Medical University in Poland. BIP involved professors from 12 universities or research institutions from Europe and South America and 28 participants from 8 countries. The course was taught remotely and in person. In addition, it included a visit to the university and practical classes with artificial simulation and practice in dentistry. A structured questionnaire enabled measuring the evaluation of students’ perception of the COVID-19 education before and after the pandemic. The European Region Action Scheme for the Mobility of University Students (ERASMUS) was fundamental to carrying out the BIP with the participation of several countries, allowing the exchange of knowledge, assessing the impact of the pandemic on dental universities, and strengthening international collaborations and the future project of research, education and clinical assistance. We conclude that hybrid teaching programmes broaden the learning spectrum in dental studies by allowing transnational and interdisciplinary approaches that make students aware of the importance of their work within the framework of the general health approach, as this differs from country to country.

Impact of an Artificial Intelligence in Language Learning - A survey

Bully Scan, an artificial intelligence system for identifying offensive language on social media, is proposed in "A Natural Language Processing and Machine Learning-Based Framework to Automatically Identify Cyberbullying. This paradigm, which aims to reduce the negative impacts of cyberbullying and encourage healthy online interactions, is a critical step in using AI for social well-being. The paper, "Research and Practice of Hybrid Teaching Based on AI technology for Foreign Language Translation," offers a novel strategy for teaching foreign languages through the incorporation of AI. The project investigates a hybrid teaching approach that combines AI-powered language translation tools with conventional classroom training. This method seeks to improve accuracy and efficiency of language learning by providing real-time translation support. Through the use of AI technologies, such as machine learning and natural language processing, the system offers students helpful translation assistance, enhancing their educational experience. The study demonstrates encouraging outcomes in terms of raising students' proficiency and effectiveness in translation in a blended learning setting.
 The paper "Modular Design of English Pronunciation Level Evaluation System Based on Deep Learning Algorithm" offers a novel method for determining pronunciation levels in English by utilizing deep learning algorithms. The study uses techniques like support vector machines and BP neural networks to address the problem of computational intensity in language teaching technologies. Through the application of machine deep learning, the system seeks to improve the precision and efficacy of pronunciation level assessments, providing insightful information for the development of theories for foreign language instruction in the rapidly changing field of artificial intelligence. The study's modular design approach offers a viable foundation for enhancing pronunciation assessment in language instruction.

Case-Based Learning Method in Learning: Is it Effective to Improve Teaching Skills of Madrasa Teachers in Indonesia?

This research aims to analyse whether the increasing use of case-based learning (CBL) by madrasa aliyah teachers in Indonesia improves their teaching skills in the field of education. This study employed a quasi-experimental technique and data from a CBL intervention programme to investigate how CBL is connected with teachers' hybrid teaching skill. The data was analysed using the difference-in-difference design. In general, the teaching skill of madrasa teachers is solely treated as a predictor of the practice of teaching Islamic religious education. Still, we discovered that the greater use of CBL in hybrid learning can favorably affect the teaching skill of madrasa teachers. CBL is positively associated with student involvement and teaching in learning among the madrasa teacher teaching skill subscales. However, according to our data analysis, students' favourable responses to Islamic religious education, and hybrid learning practices can moderate the link between CBL and the teaching skill of madrasa teachers. This study has significance for the CBL model's growth in strengthening the teaching skill of madrasa teachers in distance learning Islamic religious education.