Teaching Platform Research Articles

Throtel, throttel, trottel or trotel. Engineering Undergraduates’ Perception of the Use of Kahoot! to Review Course Content

Education has undergone a fundamental change driven by technological advances, significantly altering the way teaching and learning is conceptualized in the classroom. Currently the variety of learning and teaching platforms is extensive and in general, these have been very well received by language teachers. The use of these platforms is often driven by teachers’ eagerness to keep students motivated, engaged, and focused throughout a class. This exploratory study investigates engineering undergraduates’ perceptions of integrating Kahoot! (a Game-based Student Response System (GSRS)) to review technological vocabulary and grammar before their unit tests. Students’ perceptions were assessed using quantitative and qualitative methods throughout one semester. The findings indicated that students found the use of Kahoot! to be beneficial in relation to: (1) improving technological vocabulary in English (2) review more complex grammatical structures; (3) enjoy a more relaxed classroom environment. Finally, the present article presents some implications that may be useful to language lecturers.

Cardiac Auscultation: A Practical Method for Instruction and Learning

In response to the worldwide deficiency in the use of standard acoustic stethoscopes for the analysis of cardiac disorders, we have developed a cost-free platform for learning and teaching of cardiac auscultation by combining graphic images with actual patient recordings.

Teaching Reform and Practice Based on Four Dimensions and One Penetration for Sensing and Detection Technology

Sensing and Detection Technology is a core course in engineering specialties. Traditional sensor teaching methods have obvious deficiencies in cultivating students’ ability. To better foster students’ comprehensive qualities, this study explored a 4D1P (Four Dimensions and One Penetration) teaching mode. We independently developed an industrial sensor teaching platform with intellectual property rights, integrating classroom and sensor experiments to address the disconnection between traditional sensor teaching and practical application. This mode combined the teaching platform with SPOC (small private online courses) and Rain Classroom teaching software, enriching classroom teaching and stimulating students’ interest. By applying industry-academia-research integration to sensor teaching, students’ horizons were broadened and their creative thinking enriched. The mode set up discussion-based learning in the classroom, making the class atmosphere lively. Throughout the teaching process, data-driven learning and teaching evaluation were consistently applied, allowing teachers to promptly understand students’ learning situations. Data shows that under the backdrop of the COVID-19 pandemic, students’ grades improved and they were satisfied with this teaching mode. This mode solves most current problems in university classroom teaching and significantly enhances students’ practical abilities. It also has certain significance for education in other disciplines.

Digital Platforms in Higher Education: Opportunities, Challenges, and Strategies

Abstract: Higher education institutions' adoption of digital platforms has grown rapidly in recent years. These platforms have transformed teaching and learning, providing innovative access, engagement and collaboration avenues. The emergence of digital platforms owes much to technological advances and the spread of Internet connectivity, making it easier for universities to utilize digital platforms for education. At the same time, the growing demand for flexible and personalized learning experiences has driven the adoption of digital platforms, which provide anytime, anywhere access to educational resources. However, adopting digital platforms also poses several challenges and important issues. This study aims to explore the role of digital platforms in higher education, focusing on identifying the opportunities they offer and the challenges they face for universities. This research is relevant to a wide range of stakeholders in the higher education sector, providing valuable insights for universities considering or implementing digital platforms and being beneficial to policymakers and educational organizations shaping the future of higher education.

The Evolution of Theories, Transformations, and Emerging Trends in Distance Education Worldwide: A Comprehensive Research Article

Purpose: The fundamental objective of the current comprehensible research article is to dwell on the developmental and historical process, theoretical approaches and foundations, along with technological improvements of newly emerging trends in distance education. Furthermore, the study puts a great deal of emphasis on the most significant psychological theories such as behaviorism, cognitivism, and constructivism and in what ways they can contribute to the effectiveness of distance education platforms. The study also explores the theoretical foundations such as systems theory, communication theory and media theory along with a focus on connectivism to comprehend distance education with a careful assessment on the integration of the emerging technological advancements such as artificial intelligence, virtual reality, and augmented reality by revealing their transformative impacts and the potential on distance education. Henceforth, to accomplish such an aim, the current article provides a comprehensive analysis of distance education and offers a collection of insights into distance education for teachers, policymakers and other researchers in the relevant field. Design/Methodology/Approach: The current article employs a literature review as a research method to assess and evaluate the essential existing research body and to obtain definitive, evidence-based, practical, compelling and persuasive data within the relevant field of distance education from a constructivist perspective to find a clear answer to the research questions. Findings: The current study accentuates and finds that the improvements in technology, particularly, the Internet and fiber optics, have a transformative impact on distance education by improving interactivity and accessibility. Distance education seems to have evolved from corresponding with letters to sophisticated online platforms, enhancing global accessibility and overcoming challenges and obstacles. Psychological theories such as behaviorism, cognitivism, and constructivism are of high importance in optimizing learning experiences in this technological era. Highlights: The study highlights that the emerging trends in technology, comprising virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), have a profound transformative effect on distance education by improving interactivity, visualization, and individualized learning experiences. VR and AR offer immersive, 3D settings that enhance involvement, engagement and understanding, whereas AI grands individualized learning and assessments, reshaping traditional educational methods and enhancing access to effective and productive learning opportunities.

Artificial Intelligence Assistance and Cognitive Abilities: Harnessing AI-Assisted Heuristic Methods for Transitioning from Critical to Creative Thinking in English Language Learning

Transitioning from critical to creative thinking is an essential component of English language learning, fostering problem-solving abilities, innovative idea generation, and effective communication skills. Purpose. This study examines the potential of AI-assisted heuristic methods in facilitating this cognitive shift. Methodology. Three distinct AI-driven approaches are investigated: adaptive learning systems, intelligent tutoring, and data-driven feedback. A mixed-methods approach is employed to evaluate the effectiveness of the AI-assisted heuristic methods and learners' experiences during the intervention. The study involves 60 participants, divided into three groups of 20, each exposed to one of the three AI-driven methods. English language learning resources, including reading passages, audio recordings, and interactive exercises, are integrated with the AI-assisted techniques. The 8-week intervention commences with a pre-test assessing participants' initial critical and creative thinking skills. Post-tests and surveys are administered following the intervention to measure cognitive development and gather feedback on learners' experiences. Results. Results demonstrate significant improvements in problem-solving and originality of idea generation among participants. Furthermore, learners report positive experiences and recognize the value of AI-driven approaches in personalizing learning and promoting cognitive growth. However, challenges such as technological barriers and teacher training needs are highlighted. The current research underscores the potential of AI-assisted heuristic methods in English language learning, offering valuable insights into effective teaching strategies, learning tools, and platforms. Conclusion. Findings contribute to the development of innovative interventions supporting learners in acquiring essential thinking skills amidst rapid technological advancements, ultimately empowering them to succeed in today's interconnected and knowledge-driven world.

Construction of Virtual Experiment Teaching Platform based on 5E Teaching Mode and VI Technology

Virtual instruments have many advantages such as low cost, comprehensive functionality, easy scalability, and easy replication. At the same time, they can also meet the special requirements of time and space for remote experiments. Based on Web technology and virtual instrument technology, a virtual experiment system is constructed, which combines data sharing, remote control, and real-time operation. More conducive to utilizing experimental and scientific research resources. At the same time, virtual instruments have high flexibility and are no longer limited by traditional experimental teaching modes, which can save a lot of repeated investment costs. They can also keep the teaching equipment in the laboratory up-to-date and closely follow the development trend of science and technology. As a compulsory course for mechanical engineering majors, although the existing experimental system has achieved certain results, there are still limitations to 'Mechanical Engineering Testing Technology'. This article aims to address the problems of insufficient instrument sets and outdated equipment in the experimental teaching of "Mechanical Engineering Testing Technology", as well as students' poor ability to apply theory to practice and insufficient innovation ability. By integrating the 5E teaching mode, a virtual experimental teaching platform based on VI (Virtual Instrument) technology is established. Students can break through traditional experimental methods and conduct various experiments through the network, obtaining experimental experiences that are very similar to real experiments. At the same time, it can deepen their understanding and recognition of experiments, and better grasp theoretical knowledge.

Course Success Prediction and Early Identification of At-Risk Students Using Explainable Artificial Intelligence

Artificial Intelligence (AI) is increasingly used in online education platforms to provide valuable insights into students’ performance and success. However, the complexity of AI models makes it challenging for educators to interpret the specific factors that influence whether a student is going to pass or fail. Utilizing the Open University Learning Analytics Dataset (OULAD), this study employs various machine learning and deep learning techniques for predicting students’ success, along with SHapley Additive exPlanations (SHAP) as an Explainable Artificial Intelligence (XAI) technique, to understand the key factors behind success or failure. Unlike traditional statistical methods that explore variable relationships, this AI-driven approach uses advanced deep learning techniques to identify patterns and insights, allowing for a better understanding of the factors influencing student success. Additionally, this study focuses on identifying students at risk of failure using XAI techniques, specifically SHAP, to interpret model outputs by breaking down how specific factors contribute to a student’s success. This method enables targeted interventions to support their success. Results reveal that student engagement and registration timelines are critical factors affecting performance. The customized models achieve up to 94% accuracy for the designed tasks, outperforming traditional approaches. This study contributes to the use of AI in education and offers practical insights not only for educators but also for administrators and policymakers to enhance the quality and effectiveness of online learning.

FoCa – Free of Carbon Architecture –an educational and informational online platform supporting the decarbonization of the construction sector in Poland and Turkey

Wrocław University of Science and Technology, in consortium with the Polish Association of Ecological Buildings (PLGBC), the Institute of Building Technology (ITB) and research and scientific units from Turkey, started the international project FoCA – Free of Carbon Architecture. Its aim is to create a publicly available tool – an interactive internet platform providing information on the environmental properties of construction materials and products available in Poland and Turkey. The platform allows users to compare and evaluate the environmental impact of selected building materials. As part of the platform's development, information is collected about building materials or products available on local markets, in the form of data describing their selected environmental impacts (GWPfossil, GWPbiogenic, GWPtotal, TRPE, TNRPE, WD). The platform allows to compare building materials and perform analyzes for conceptual building designs. In addition, producers of building materials can also benefit from the project because they will receive information about the environmental properties of some of their products. The platform will be available in the second half of 2024.

Nursing students' knowledge and related factors towards skin cancer: A systematic review

This systematic review aims to examine the nursing students' knowledge and related factors towards skin cancer. In order to conduct this comprehensive and review study, articles were searched from the earliest to April 1, 2023 using keywords extracted from Medical Subject Headings such as "knowledge", "skin cancer", and "nursing students" in various international electronic databases such as Scopus, PubMed, Web of Science, and Persian electronic databases such as Iranmedex and Scientific Information Database. The appraisal tool for cross-sectional studies (AXIS tool) was used to evaluate the quality of the studies included in this article. In total, 2,841 nursing students participated in five cross-sectional studies. The average age of the students was 20.93 (SD=1.89). 78.07% of the students in this study were female. 19.70% of students had a history of skin cancer in their family member. The average nursing students' knowledge and related factors towards skin cancer was 14.78 (SD=2.68) out of 25 which suggests a moderate level of knowledge. Factors such as year of study, female gender, age, using cosmetics, using depilatory wax, using epilating appliance, skin cancer caused by sun exposure, and protection of information have a significant positive relationship with nursing students' knowledge about skin cancer. However, knowledge had a negative relationship with factors such as using shaving, having mole, and having swelling. Additionally, the factors of father education, place of residence, sunburn frequency, source information had a significant relationship with nursing students' knowledge about skin cancer. According to the results of this review, the knowledge of nursing students in skin cancer is moderate. Therefore, nursing professors may contribute to the development of nursing students' knowledge by providing an online or physical education platform related to skin cancer.

Correction to: Theoretical and empirical models underlying the teaching use of LMS platforms in higher education: a systematic review

Correction to: Theoretical and empirical models underlying the teaching use of LMS platforms in higher education: a systematic review

The Design of Teaching and Learning Platform to Support Exchange Learning for Elementary and Middle Schools in Korea

The education sector needs to improve education quality after the post-pandemic and subsequent decline in educational attainment. Additionally, there has been a heightened reliance on private education, coupled with the projected inflection point of 2070, when the global population will decline. Various solutions have been developed and implemented to support changing educational environments and teaching methods. However, despite these efforts, the problem of a widening educational gap between urban and rural students persists. This is due to difficulties accessing educational resources caused by long distances between schools, and there is an increasing demand for practical measures to make education more inclusive. In this case study, we analyzed the building and operation of a teaching-learning platform. We interviewed stakeholders to prepare a preemptive response to social issues that education will face in the future. Through this, we derived considerations for an exchange learning-based teaching-learning platform (that supports teachers' exchange learning lesson designs) and proposed a design plan platform. The results of this study are expected to minimize the learning gap between urban and rural areas, support the development of educational programs that consider students' interests, and adjust the educational difficulty to a suitable level for each student. It is also believed to help develop and utilize an AI-based, learner-customized learning platform.

Utilizing Baidu Index Data to Investigate the Spatiotemporal Characteristics of Public Concern towards Lifelong Education

Background and purpose: With the advancement of Industry 4.0 and the vigorous development of the Internet, search engines have become one of the important platforms for the public to obtain information. As the world's largest Chinese search engine, Baidu is widely popular with the Chinese public. Similar to Google Trends, the Baidu Index is one of the most important databases on the Internet and even in the entire data age. This study adopted the Baidu Index to investigate the public's attention to "Lifelong Education" and analyze its changing trend and geographical distribution, to grasp the public's attention to it in a more comprehensive way. Materials and methods: The Baidu Index was used to obtain the attention of the keyword “Lifelong Education" from July to November 2023. The characteristics of attention are analyzed from three aspects: trend research, demand graph, and user portrait. Finally, it focuses on the comparison between the keyword "Lifelong Education" and the related word "Lifelong Education Platform". Results: The term "Lifelong Education" showed two fluctuations during the period, both of which showed an initial rise and then a decline. For the demand graph, the public pays the most attention to "Lifelong Education Platform", "Lifelong Learning" and "Compulsory Education". The group that pays more attention to "Lifelong Education" is mainly distributed in East China, mostly female, 20~29 years old. Conclusion: Similar to Google Trends, the Baidu Index is a useful tool to study the trend of keyword searches, insight into the change in netizens' demand and monitoring the trend of media public opinion. The results show that the main reasons for the two obvious changes in search volume are that the National Open University of China opens freely lifelong education platform and provides free and comprehensive learning resources, and "Lifelong Education" appears as a translation in the National College English Test Band 4 (CET-4) in June 2023.

The Role of Distance Learning in Shaping Indonesia Golden Generation: Student Interaction, Engagement, and Satisfaction

This research explores the critical role of student interaction in enhancing engagement and satisfaction in the context of Open and Distance Learning (ODL) at the Open University in Indonesia. Amidst the increasing adoption of digital education platforms, this study examines how dynamic and effective student interactions and engagement influence educational satisfaction outcomes in online environments. Using a quantitative approach, this study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyse responses from 120 students who participated in online tutorial sessions. The findings reveal that student interaction significantly increases student satisfaction and engagement, with engagement serving as a mediating factor that improves the overall educational experience. This study confirms that high-quality interactions are essential for student engagement and satisfaction and emphasises the need for educational platforms that support strong interactive features and prompt instructor feedback. This research contributes to the literature by emphasising the important role of interaction and engagement in ODL settings and suggests practical implications for educational practitioners and policy makers. Enhancing interactive experiences in online learning can facilitate higher levels of student engagement and satisfaction, thereby supporting the formation of a competitive and adaptive golden generation in Indonesia's digital era.

Designing Personalized Learning Paths for Foreign Language Acquisition Using Big Data: Theoretical and Empirical Analysis

This study introduces the Data-Driven Personalized Learning Model (DDPLM), a sophisticated framework designed to enhance foreign language acquisition through the integration of big data analytics. Implemented within the educational platforms Edmodo and Duolingo, DDPLM utilizes real-time data processing to tailor learning paths and content dynamically to individual learner needs. Our findings indicate significant improvements in language learning efficiency, engagement, and retention. The model’s adaptability across different digital environments showcases its potential scalability and effectiveness in various educational contexts. Additionally, the research addresses the critical role of personalized feedback and adaptive challenges in maintaining learner motivation and promoting deeper linguistic comprehension. The outcomes suggest that DDPLM significantly transforms traditional language education, making it more personalized, efficient, and aligned with individual learning preferences.

Perception of Nigerian Dental Students on the Effectiveness of Teaching Platforms Used for Orthodontics Lectures During the Covid-19 Pandemic

Objective: This research was to assess how Nigerian dental students perceived the effectiveness of the teaching platforms adopted by Orthodontic lecturers during the COVID-19 pandemic. Methods: A descriptive survey which involved 10 accredited Nigerian dental schools with clinical students during COVID-19 pandemic across the geo-political zones of Nigeria was carried out. One hundred and forty-five clinical students who had been taught Orthodontics before COVID-19 pandemic were surveyed using a three-Section Google forms semi-structured questionnaire, administered through WhatsApp and emails. Section A comprised socio-demographic variables, B centred on information on teaching platforms adopted for Orthodontics before and during COVID-19 pandemic), and C was about the perceived effectiveness of adopted teaching platform during COVID-19 pandemic. Data obtained were quantitative, analyzed using SPSS version 26. Hypothesis was tested using independent samples t-test at 0.05 significant level. Results: The participants included 83(57.2%) males and 62 (42.8%) females, with mean age of 25.738 +/- 2.94 years. One hundred and forty two (97.2%) affirmed to having more face-to-face teaching before COVID-19 pandemic. The most T popular online teaching platform adopted during COVID-19 pandemic was WhatsApp, 58 (40%). More than half of the participants, 99 (68.3%), had a positive perception towards the adopted teaching platforms. Most of them, 120 (82.7%), perceived the adopted platforms were effective in providing quality Orthodontic lectures, clinical skills and soft skills. More males 83 (57.2%) than females 62 (42.8%), perceived the platforms to be more effective with no statistical difference, while most, 120 (82.7%), accepted the adopted teaching platforms for orthodontics during COVID-19 pandemic. Conclusion: Orthodontic learning occurred largely on-line during COVID-19 pandemic and the perception of the students was positive towards the effectiveness of the adopted teaching platform as most participants accepted the platforms.

Integrating Biotechnology Virtual Labs into Online Education Platforms: Balancing Information Security and Enhanced Learning Experiences

Information and Communication Technology (ICT)-enabled virtual labs to offer an online educational experience utilizing computer-based teaching resources (scenes, simulations, and remote-trigger activities) to enhance the active studying experience. This article discusses a project established to improve university and college instruction, which is evolving into a sophisticated training setting for addressing the geographical, social, and financial obstacles in the interdisciplinary domain of science learning, particularly in India. A pedagogical assessment was conducted through seminars and online comments to examine the function of biotechnology simulations in the contemporary school system, involving various student and instructor groups from many Indian institutions. This chapter discusses the utilization of biotechnology virtual laboratories in biotechnology to enhance teaching and learning processes through user involvement and how these technologies successfully mitigate the challenges of laboratory schooling, particularly in remote regions. The findings from user feedback evaluation indicate that online laboratories are advisable to incorporate into blended classes in giant classrooms to improve self-sufficient instruction and enhance virtual laboratory education in isolated and financially disadvantaged institutions.

A New Model to Advance a Collaborative Clinical Education Placement Process: A Consortium Core Network.

The 2014 Clinical Education (CE) Summit and subsequent scholarly work prompted development of collaborative, mutually beneficial, innovative processes to mitigate CE challenges and inefficiencies. Contemporary practice advocates for collaboration among physical therapist (PT) academic programs (Programs) and clinical partners (Partners) to create a sustainable placement process with mutual benefits for stakeholders. The purpose of this article is to describe the design and implementation of the Ohio Kentucky Consortium of Physical Therapy Educators (Consortium) Consortium Core Network's (CCN) centralized PT CE Placement Process (PT-CEPP) model and share participants' experience perspectives. The Consortium established the CCN and a Steering Committee, representing stakeholders, and designed a novel 5-phase centralized PT-CEPP model, in Exxat, an educational management platform. The phases included Request, Offer, Placement, Reallocation, and Confirmation and Release. A postimplementation Qualtrics survey was disseminated to obtain participant perspectives. Open-text survey responses were compiled, reviewed, thematically analyzed, and presented in this article (part 1). The resulting quantitative CCN PT-CEPP analyses were deferred to a companion article (part 2). The CCN participation included invited Partners (n = 101/364; 28%) and Programs (n = 14/14; 100%). During initial PT-CEPP implementation, 1,005 offers resulted in 549 CE placements. Participant perspectives from 20 of 101 SCCEs (20%) and eight of 14 DCEs (57%) were dichotomized into "Benefits and What Worked Well" and "Challenges and What Did Not Work Well." Perspectives were unique to participant roles, with partners valuing "centralization" and Programs "process." Lessons gleaned from the PT-CEPP paradigm shift to a CCN-centralized model may optimize processes and improve sustainability with future iterations.

Empowering college physical education: AI-driven training, teaching, and intelligent information processing

The current status, methods utilized for Physical Education Training and Teaching System for College Students, and difficulties during information processing are all investigated in this comprehensive study. We compiled 130 empirical research on Artificial Intelligence-based Physical Education (AIPE) using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses are analysed. Research shows that AI may improve health tracking, individualized training, and analysis of sporting performance. There is a lot of promise in AIPE for individualized lessons, immediate feedback, varied classroom settings, and evaluation. The problems arise when dealing with technological dependability, privacy concerns, and the need for instructor assistance. These results give light on important questions for future AIPE. This research delves into the process of creating and launching an all-encompassing educational platform that makes use of AI and data processing methods. Our system’s goals include improving the quality of instruction, tailoring feedback to each student, and enhancing the overall learning experience. AI Algorithms powered by artificial intelligence help us shift through student test scores, identify knowledge gaps, and modify lessons appropriately. This makes sure that the curriculum meets each student’s needs. Practical exercises, quizzes, and assignments get immediate feedback through the system. It uses natural language processing (NLP) to analyse student answers, find misunderstandings, and provide help for fixing them. The system personalizes learning routes according to students’ choices, learning styles, and progress. It suggests further reading, interactive games, and group assignments. Through the automation of administrative activities, generation of analytics reports, and suggestion of pedagogical changes, the system aids instructors. It makes it easier for students and instructors to talk to one another. Data protection, overcoming AI biases, and getting teachers on board with tech-enhanced lessons are all obstacles. Future studies should aim to improve the system, confirm its efficacy, and encourage its implementation across educational institutions. Finally, there is great potential for improving higher education with an AI-based training and teaching system with strong data processing skills. Students and teachers may reap the advantages of a technologically enhanced, ever-changing learning environment.

Construction of a Teaching Platform of Modern and Contemporary Chinese Literature From the Perspective of Diversified Intelligence

This paper discusses the functional principle of the theory in detail based on the theory of diversified intelligence and constructs a teaching platform of diversified intelligence. Then, this platform is applied to teaching in different cities, and the application of modern and contemporary literature teaching platforms in different cities is compared. According to the application indicators of each inter city teaching platform, the measures to improve the application rate of this teaching platform are put forward. In short, based on the theory of multiple intelligences, this paper provides some experimental and theoretical support for the development and progress of modern and contemporary Chinese literature.