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Research on college Chinese course teaching based on artificial intelligence technology 24

Research on college Chinese course teaching based on artific...

引用

2024 international conference on Intelligent Education and Computer Technology, IECT 2024

作者： Li, Qinkai Luo, Haiwen Space Engineering University Beijing101400 China

ISBN: (纸本)9798400709920

This paper deeply discusses the application of artificial intelligence technology in college Chinese teaching, aiming at promoting the modernization transformation of traditional literature education through intelligent teaching means. This paper presents the application design of artificial intelligence technology in college Chinese teaching by focusing on four paths: deep exploration of intelligent teaching content processing, innovative exploration of personalized learning path planning, effective exploration of intelligent interactive system design, and deep integration of virtual reality and enhanced learning experience, and further gives the expected effect. Finally, the author puts forward the prospect of the integration and development of educational technology in the future. © 2024 ACM.

关键词： Adversarial machine learning

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teaching Methods and Students' Motivation in STEM Large Classes: A Survey at BTH 15

Teaching Methods and Students' Motivation in STEM Large Clas...

引用

15th IEEE Global engineering Education conference (IEEE EDUCON)

作者： Palm, Bruna G. Ludwig-Barbosa, Vinicius Blekinge Inst Technol Dept Math & Nat Sci Karlskrona Sweden

ISBN: (纸本)9798350394023;9798350394030

The combination of a large number of students and a diverse student population poses additional pedagogical challenges in higher education courses. The teacher's perception of student engagement becomes more challenging in a large group, and students may experience reduced motivation despite the teacher's efforts and pedagogical approach. This paper discusses the challenges of teaching approaches and students' motivation in large groups. For that, a survey at Blekinge Tekniska H ogskola (BTH) in Sweden was performed to evaluate and discuss learning improvement in science, technology, engineering, and mathematical (STEM) courses attended by Swedish and international students. The survey explores how teachers can encourage student motivation in large classes, and it was based on related works reporting teaching methods and common issues in teaching STEM courses. Based on the survey's result analysis, we can observe that the physical learning environment and teaching style do not play an essential role in the student's motivation. However, the teacher and student interaction influences their motivation. These findings provide insight into the diverse perceptions of students regarding the connections between teaching style, feedback, learning environment, and motivation, for example. The conclusions derived from the survey are expected to serve as guidelines for improving student performance in large STEM groups.

关键词： Student's motivation large classes teaching methods survey Swedish university

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An Exploration of Self-Regulation learning Practices and Its Effectiveness with Kahoot! Incorporated into Electronics teaching

An Exploration of Self-Regulation Learning Practices and Its...

引用

IEEE international conference on teaching, Assessment and learning for engineering (IEEE TALE)

作者： Chang, Pei-Hua Cheng, Su-Fen Cheng, Chi-Wei Hung, Chieh-Yu Tang, Jing-Jou Kun Shan Univ Dept Elect Engn Tainan Taiwan Kaohsiung Med Univ Dept Med Sociol & Social Work Kaohsiung Taiwan Natl Dong Hwa Univ Dept Indigenpus Affairs & Dev Hualien Taiwan Southern Taiwan Univ Sci & Technol Dept Elect Engn Tainan Taiwan

ISBN: (纸本)9781665453318

Having the ability of self-regulation learning is a key factor influencing whether students can achieve the desired learning goals in learning contexts. It is important to know how to promote students' self-regulation learning. Incorporating gamification teaching designs, like Kahoot!, might be a possible approach. In the face of students getting distracted and using their phones due to the tedious nature of electronic theoretical lectures, this study explores the practice and effectiveness of self-regulation learning by integrating Kahoot!. The research adopted a pre-experimental research design with a single-group pre- and post-test. A sample of 24 sophomores was assessed on four dimensions of self-regulation learning. The research results showed (1) a significant correlation between scores of Kahoot! responses and Kahoot! learning behaviors;(2) a significant correlation between the number of reading pages and the metacognition dimension of self-regulation learning in the post-test;(3) a significant correlation between scores of Kahoot! responses and learning effectiveness;(4) a significant correlation between the number of reading pages, along with the number of Kahoot! responses for after-class review, and learning effectiveness;(5) a significant correlation between the post-test of self-regulation learning and learning effectiveness. The study also discusses and provides relevant suggestions regarding the guidance of Kahoot! in promoting self-regulation learning.

关键词： self-regulation learning Kahoot electronics

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Architecture Design of Intelligent Education and teaching System Based on Machine learning Algorithm 3rd

Architecture Design of Intelligent Education and Teaching Sy...

引用

3rd EAI international conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2023

作者： Zhu, Libo Ma, Xin Liang, Xinlong Zhang, Jun Zhou, Yufei Zibo Normal College Shandong Zibo255100 China Yunnan University of Business Management Yunnan Anning650300 China

ISBN: (纸本)9783031631382

With the great success of machine learning (ML) algorithms represented by deep learning in vision, speech recognition and other fields, while looking forward to and promoting the large-scale educational application of artificial intelligence (AI), data center network is an important infrastructure supporting big data and cloud computing platforms, which is widely used in data-intensive and large-scale modular parallel computing tasks. AI has entered an unprecedented period of rapid adoption and stability. At the beginning of architecture design, the traditional distributed big data processing system didn't optimize the ML task, but ensured the training convergence efficiency, improved the iterative computing speed and improved the model quality. The application of AI education is limited by the common sense and symbolic grounding and transfer of AI technology. Based on the above analysis, this paper aims to solve the efficiency bottleneck of distributed system in dealing with ML tasks, and design and implement a high-performance distributed ML system for heterogeneous environment in data centers, so as to promote the intelligent development of education and teaching by applying heuristic AI teaching ideas. Overall, the degree of automation that AI technology can achieve in education is still very limited. It is more realistic to strengthen teacher design than to replace it. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Efficiency

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Research on the Application of Knowledge Graph in teaching-Taking 'Edge computing and Intelligent Vision Application' Course as an Example 13

Research on the Application of Knowledge Graph in Teaching-T...

引用

13th international conference on Educational and Information Technology, ICEIT 2024

作者： Zhang, Minghui Zhang, Mingchao School of Information Science and Technology Sanda University Shanghai China Changchun Humanities and Sciences College Changchun China

ISBN: (纸本)9798350372663

In the process of digital transformation of higher education teaching, knowledge graph technology is applied to the construction and reform of curriculum teaching. This paper analyzes the current situation and problems of online and offline blended courses, expounds the advantages of course construction based on knowledge graph technology, and applies knowledge graph technology to the course construction and reform of Edge computing and Intelligent Vision Application. The curriculum knowledge graph optimizes the course content, integrates high-quality educational resources, reforms the students' learning as the center, meets the needs of students' personalized learning, cultivates students' thinking and ability, builds a diversified evaluation system, and promotes the improvement of teachers' teaching ability. © 2024 IEEE.

关键词： Students

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Active Distance learning: How Student Perceptions Affect Academic Performance

Active Distance Learning: How Student Perceptions Affect Aca...

引用

IEEE international conference on teaching, Assessment and learning for engineering (IEEE TALE)

作者： Alwheibi, Shamma Shoufan, Abdulhadi Hassan, Asli Khalifa Univ Ctr Cyber Phys Syst Dept Elect Engn & Comp Sci Abu Dhabi U Arab Emirates Khalifa Univ Ctr Teaching & Learning Abu Dhabi U Arab Emirates

ISBN: (纸本)9781665453318

Active distance learning is an appealing approach that allows students to study at a distance by completing learning activities at their own pace without watching recorded or live lectures. This approach, however, raises some concerns due to the lack of teacher guidance, feedback, and scaffolding. Still, a thoughtful design of the learning activities can mitigate this issue. In this study, we aimed to investigate how students perceive distance learning activities and how their perceptions affect their performance on immediate short tests. Using regression analysis of 103 students' data and 62 learning activities, we investigated the relationship between the grades and completion time of the learning activities and students' ratings of the perceived level of interest, motivation, challenge, frustration, and boredom. We found out, for example, that student perceptions of interest and motivation are essentially affected by grades rather than the activity's completion time. Furthermore, we investigated the relationship between the perceptions of the learning activities and students' performance on immediate, short tests. The regression model showed that the perceived motivation, interest, and challenge have a remarkably strong impact on students' performance. We conclude that active distance learning can benefit from a thoughtful design of learning activities that takes students' perceptions seriously into consideration.

关键词： Active learning Active Distance learning Lecture Free learning Student Performance

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Physics Without Walls: Online learning Journey 5

Physics Without Walls: Online Learning Journey

引用

5th international conference on Intelligent computing, Communication, Networking and Services, ICCNS 2024

作者： Alarabi, Khaleel Mohammad Ayasrah, Firas Tayseer Yousef, Jihan Ei-Saleh, Majed Alsalhi, Najeh Al Ain University Postgraduate Professional Diploma AlAin United Arab Emirates College of Arts Humanities Social Sciences University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9798350354690

In the past, learning physics outside of the classroom received little consideration, but in recent times, it has gained popularity. The study provides a detailed explanation of how the COVID-19 pandemic has led to the teaching of physics as an industrial unit in the UAE. The study provides a clear and precise explanation of how to achieve distance learning in physics in the UAE. Furthermore, the study provides an explanation of the advantages and disadvantages of distance learning in comparison to the classroom scenario. It gives a clear and elaborate insight into how distance learning, especially in physics, corresponds to the classroom scenario. It also provides information on factors that can be considered to improve the current system and make it better. This study aims to examine the advantages and disadvantages of teaching the theoretical aspect of distance learning, particularly in light of the presence of numerous advanced mathematical problems. The study also concentrates on enhancing physics teaching through distance learning and identifying the obstacles that impede its delivery. As for the application side and practical experiments, the study helps to determine whether the virtual laboratory and computer simulation experiments are sufficient and can replace the traditional laboratory. © 2024 IEEE.

关键词： COVID-19 distance learning online learning Physics UAE

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Deep learning-Based E-learning Solution for Identifying and Bridging the Knowledge Gap in Primary Education

Deep Learning-Based E-Learning Solution for Identifying and ...

引用

2023 international Research conference on Smart computing and Systems engineering, SCSE 2023

作者： Arunoda, D.P.H. Walpola, S.R. Piumira, S.M.I. Athukorala, A.D.M.P. Thilakarathna, Thusithanjana Chandrasiri, Sanjeevi Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Department of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350341454

Educational teaching apps are primarily available in app stores to educate students in various contexts. Lack of educational resources, physical and mental health conditions, and poverty cause some students to skip school and move on to the next school grade without completing the course content of the previous grade. Most of the available apps focus on specific content to cover. The Smart Primary Education Tutor (SPET) teaching app specifically focuses on the missed content by analyzing their knowledge gap and providing lessons to cover the missed content. The main objective of SPET is to develop a methodology to identify the gap in student knowledge and fill the knowledge gap by teaching using smart techniques. SPET is determined to identify students' interactions (attention, emotions) with the system to identify students' ability to use the learning tool, identifying gaps in students' knowledge levels compared to their actual grades using activities and voice-based technologies, teaching to cover the knowledge gap by providing engaging activities and lessons and evaluating students by conducting a final assessment and analyze students' knowledge and performance obtained through the system. Students between the ages of 5 and 8 are targeted in the community to apply. The solution embeds deep learning-based models including attention classification models using head posture estimation, facial expression recognition, and eye gaze estimation, speech recognition models to identify provided verbal answers, handwriting recognition models to evaluate student performance, and smart teaching. The child emotion recognition model achieved 93% accuracy. The Attention span evaluation model achieved 85% accuracy. The handwritten numerical and English character data recognition model which detects answers for the final assessment paper achieved 85% percent of accuracy. © 2023 IEEE.

关键词： Students

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AI-driven Teacher Analytics: Informative Insights on Classroom Activities

AI-driven Teacher Analytics: Informative Insights on Classro...

引用

IEEE international conference on teaching, Assessment and learning for engineering (IEEE TALE)

作者： Canovas, Oscar Garcia-Clemente, Felix J. Pardo, Federico Univ Murcia Dept Comp Engn Murcia Spain

ISBN: (纸本)9781665453318

Teachers require reliable feedback to refine their skills and to analyze their methods in the classroom. However, it can be challenging for teachers to be aware of the characterization and distribution of classroom activities while simultaneously delivering lectures. Traditional methods of achieving expertise through deliberate practice under the guidance of a human coach are not suitable, due to the long turnover time required for training coaches, observing classrooms, and coding activities. To address these challenges, automated approaches using artificial intelligence (AI) techniques to analyze audio recordings have been proposed to infer the climate in classrooms, model teacher discourse, and classify teaching activities. While these approaches have shown promising results inferring activities, there is a need for additional proposals that support tools and analytics enabling teachers to reflect on their practice and track their progress. In this paper, we present a novel framework that leverages deep learning for speaker diarization and machine learning algorithms for the classification of teaching practices and the analysis of different teaching styles. Our approach utilizes several non-verbal discursive features to provide informative insights. Specifically, we have defined 12 different features that are employed to classify up to three distinct practices: lecture, group discussion, and the use of audience response systems. We show that those features are also informative to analyze the behavior of the teachers for each teaching practice.

关键词： Audio analysis teaching practices speaker diarization teaching analytics deep learning machine learning

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The student experience of technology-focused micro-credentials as part of a larger learning journey

The student experience of technology-focused micro-credentia...

引用

IEEE international conference on teaching, Assessment and learning for engineering (IEEE TALE)

作者： Parsons, David Sparks, Hayley Vo, Darcy Singh, Anzel AcademyEX Mind Lab Auckland New Zealand AcademyEX Tech Futures Lab Auckland New Zealand

ISBN: (纸本)9781665453318

This research-in-progress article discusses the results of an interview study to investigate the outcomes for a group of mature postgraduate students who completed at least one technology-focused micro-credential as part of a larger set of qualifications. The results suggest that these micro-credentials provide a valuable complement to other types of study, either as part of a formal pathway or as an informal combination of study choices. In particular, they provide a platform for rapid updating in technology, a confidence-building experience for mature learners, and a sound platform for enrolment in larger qualifications. Some of the issues raised included the difficulty of providing a consistent micro-credential experience across diverse domains of practice, ensuring that there is sufficient institutional and peer support for mature students, and designing small, focused courses that still provide sufficient depth and breadth to enable students to apply their learning in their practice contexts.

关键词： micro-credential technology interview motivation outcomes

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