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检索条件"任意字段=International Conference on Learning and Teaching in Computing and Engineering"

共 107108 条记录，以下是4841-4850 订阅

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Students' Experience and Use of Assessment in an Online Introductory Programming Course 5

Students' Experience and Use of Assessment in an Online Intr...

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5th international conference on learning and teaching in computing and engineering (LaTICE)

作者： Riese, Emma KTH Royal Inst Technol Sch Comp Sci & Commun Stockholm Sweden

ISBN: (纸本)9781538608920

Assessment has long been seen as an important part of teaching and has shown to have an impact on how students approach learning. In this study students' experience of assessment in an online introductory programming course is investigated. This is studied through semi-structured interviews, with seven students, which are analyzed using a phenomenographic research approach. The results consist of five categories in which the students experience the given assessment;the grading is important to the teacher, the grading is important to the student, assessment as guidance, assessment as an opportunity to learn and assessment as a way to communicate. This paper also shows that three categories, assessment as guidance, assessment as an opportunity to learn and assessment as a way to communicate, are the most desirable.

关键词： Assessment Students' experience Distance learning Phenomenography

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A Culturally Relevant Pedagogical Approach to Computer Science Education to Increase Participation of Underrepresented Populations 4

A Culturally Relevant Pedagogical Approach to Computer Scien...

引用

4th international conference on learning and teaching in computing and engineering (LaTICE)

作者： Yuen, Timothy T. Arreguin-Anderson, Maria Carmona, Guadalupe Gibson, Matthew Univ Texas San Antonio Dept Interdisciplinary Learning & Teaching San Antonio TX 78249 USA Univ Texas San Antonio Dept Comp Sci San Antonio TX USA

ISBN: (纸本)9781509025046

This paper presents a theoretical discussion of a culturally relevant pedagogical approach to computer science education. The paper builds a framework of strategies that computer science educators can use to empower diverse learner populations, especially those from underrepresented minority groups, to participate in computer science as well as other STEM fields. This framework draws from education theories on sociocultural learning, critical pedagogy, and culturally relevant pedagogy.

关键词： computer science education culturally relevant pedagogies underrepresentation diversity

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Leveraging AI to Personalize HR Marketing Campaigns: A Data-Driven Approach

Leveraging AI to Personalize HR Marketing Campaigns: A Data-...

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international Symposium on Advanced computing and Communication (ISACC)

作者： Moath Mahmoud Alshar Ameet Sao Manish Sharma Sunil Kadyan Vuda Sreenivasa Rao B. Anitha Vijayalakshmi Business Administration Department Faculty of Business Jadara University Jordan National Institute of Construction Management and Research Bahadurgarh Haryana India Department of Business Administration Maharaja Agrasen Institute of Management Studies Delhi India School of Management and Commerce Manav Rachna University Faridabad India Department of CSE Koneru Lakshmaiah Education Foundation Vaddeswaram A.P. India Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

The research proposes an AI-driven personalization framework for enhancing the efficiency and engagement of HR marketing campaigns. The system integrates real-time data processing, collaborative filtering, and feedback loops to dynamically recommend job opportunities tailored to individual candidate preferences. Using an HR-related dataset from Kaggle, the framework preprocesses data by handling missing values, scaling numerical features via Min-Max Scaling, and reducing dimensionality using Principal Component Analysis (PCA). Collaborative Filtering is employed to predict candidate preferences through matrix factorization, dynamically updating recommendations based on real-time user interactions. The experimental evaluation highlights the framework's superior performance compared to traditional methods. Click-Through Rate (CTR) improved significantly, with AI-driven personalization achieving 30% compared to 18% from rule-based methods and 12% from the baseline. Accuracy analysis revealed that Collaborative Filtering outperformed random and content-based methods, achieving the highest precision (85%), recall (88%), and F1-score (86%). These results underscore the effectiveness of AI in aligning candidate preferences with recruitment goals while ensuring dynamic adaptation through feedback. The proposed system also seamlessly integrates personalized insights into HR marketing channels such as job portals, email campaigns, and social media advertisements, optimizing recruitment processes and enhancing user engagement. Future research aims to extend the dataset to include diverse candidate profiles, incorporate multi-modal data sources, and leverage deep learning for improved recommendation accuracy. Additionally, explainability techniques will be explored to ensure transparency and build trust among users. This framework demonstrates the transformative potential of AI-driven personalization in reshaping HR marketing strategies.

关键词： Accuracy Social networking (online) Collaborative filtering Soft sensors Real-time systems Particle swarm optimization Intelligent systems Portals Recruitment Principal component analysis

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How learning Styles in CS can Foster Inclusion of Visually Impaired Students 3

How Learning Styles in CS can Foster Inclusion of Visually I...

引用

international conference on learning and teaching in computing and engineering

作者： Capovilla, Dino Muehling, Andreas Hubwieser, Peter Tech Univ Munich TUM Sch Educ Arcisstr 21 D-80333 Munich Germany

ISBN: (纸本)9781479999675

We present the results of a study of learning types of CS students. In computer science education there seems to be a prevalence of visually oriented teaching methods. However, as the results of our investigation show, the learners may not actually benefit from this trend. This is valuable information in the context of including visually impaired learners in computer science classes - since these learners suffers the greatest disadvantages from visually oriented teaching and learning aids. Our results indicate that a different approach to CSEd placing more emphasis on kinesthetic and textual material may be of advantage for all CS students alike and also foster the inclusion of visually impaired learners.

关键词： CS Education Inclusion learningy styles Educated at mainstream school Visually Impaired Persons Cognitive Style CONTAINMENT SPRAY carbon monosulfide Cesium Fostering computer science education Students conditioned stimulus Pedagogy Styles

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A Convolutional Neural Network Approach for Mood Classification in Short Texts Using Character-Level Details and Local Text Structure 1st

A Convolutional Neural Network Approach for Mood Classificat...

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1st international conference on computing and Emerging Technologies, ICCET 2023

作者： Hussain, Moodser Jameel, Muhammad Ullah, Muhammad Farhat Jabbar, Taimoor Hassan Irfan, Roha Iqbal, Muhammad Waseem Department of Information Technology University of the Punjab Gujranwala Campus Gujranwala Pakistan Department of Computer Science Superior University Lahore Lahore Pakistan Department of Software Engineering University of Lahore Lahore Pakistan Department of Computer Science BZU Multan Pakistan Department of Computer Science University of Central Punjab Lahore Lahore Pakistan Department of Software Engineering Superior University Lahore Lahore Pakistan

ISBN: (纸本)9783031776168

Mood classification is a crucial and complex task in the fields of psychology and Natural Language Processing (NLP). It is particularly challenging to assess an individual’s mood based on their chats or comments on social media platforms. This study introduces a Convolutional Neural Network (CNN) for mood classification and evaluates its efficacy on the ISEAR dataset. The dataset comprises 7,652 short texts labeled with seven different moods including joy, anger, fear, guilt, disgust, sadness, and shame. Our proposed model achieves an impressive F1 score of 94.59%, surpassing existing statistical and deep learning models. The superior performance can be attributed to two key features of our approach. Firstly, our model incorporates the local structure of the text by leveraging relationships between adjacent word embeddings, allowing it to capture the subtle nuances of language. Secondly, it captures character-level details within the input text, allowing for a more comprehensive understanding of the data. Overall, our study demonstrates the effectiveness of the CNN-based approach for mood classification in NLP, with potential implications for developing automated systems that can accurately recognize and respond to people's moods in various applications, such as mental health and customer service. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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Technological Aspects of E-learning System in Malaysian Context

Technological Aspects of E-learning System in Malaysian Cont...

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international conference on teaching and learning in computing and engineering (LaTiCE)

作者： Parsazadeh, Nadia Ali, Rosmah Zainuddin, Norziha Megat Mohd Univ Teknol Malaysia Fac Adv Informat Sch Kuala Lumpur Malaysia

ISBN: (纸本)9781479935918

Advancement of technology has made it possible to facilitate the delivery of education through an e-learning system almost anywhere and anytime beyond a physical space. To achieve learners' satisfaction and increase acceptance of e-learning among students, an investigation of the technological aspects of e-learning system is urgently needed. The purpose of this study was to identify the most important aspects of an e-learning system that may influence users' perceived usefulness of the e-learning system in Malaysian context. A pilot study was conducted on 100 engineering students at a local university. The findings revealed that four variables namely ease of access, interface design, system quality and internet quality were the most important factors affecting the satisfaction of the e-learning system.

关键词： E-learning system Technology aspects Perceived usefulness learners' satisfaction

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An experience with a peer assisted teaching scheme

An experience with a peer assisted teaching scheme

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international conference on teaching and learning in computing and engineering (LaTiCE)

作者： D'Souza, Daryl Bauers, Astrid Carbone, Angela Ross, Bella RMIT Univ Sch Comp Sci & IT Melbourne Vic Australia Monash Univ OPVCLT Caulfield Australia

ISBN: (纸本)9781479935918

We present a narrative around the use of a peer assisted teaching program to establish its utility in improving teaching and learning outcomes. The program is a structured and collegial approach where academics work together to reinvigorate their teaching practice through reflection and peer-assisted situated learning. The scheme involves colleagues collaborating to analyse existing course and teaching quality data, develop focussed development goals for curriculum and pedagogy, plan and execute strategies to achieve these goals, and monitor their effects and success during a teaching semester. The experience presented in this paper involved a paired peer relationship between two Information and Communication Technology (ICT) lecturers (colleagues) who taught disparate courses and who had separate goals. Despite the apparent dichotomy in the courses taught and the course outcomes, their experience with a small set of goals provided useful information about employing such a scheme, especially its effectiveness despite choosing simple goals. The partners were also inspired to use the scheme again and with a stronger sense of how they might prepare their goals and pursue better implementation thereof. The authors hope the experience will encourage others to adopt such a program or other similar peer assisted teaching schemes to improve teaching and learning outcomes, encourage collegial collaboration within departments, and foster engagement with learning and teaching scholarship.

关键词： teaching innovations best practices experience sharing in computing and engineering education

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learning Geometry with Augmented Reality to Enhance Spatial Ability 3

Learning Geometry with Augmented Reality to Enhance Spatial ...

引用

international conference on learning and teaching in computing and engineering

作者： Liao, Yi-Ting Yu, Chih-Hung Wu, Cheng-Chih Natl Taiwan Normal Univ Grad Inst Informat & Comp Educ Taipei Taiwan

ISBN: (纸本)9781479999675

Spatial ability is considered essential in learning many disciplines. Studies have shown that providing students with geometry learning activities would help them develop spatial ability. Augmented Reality (AR) provides a combination of real and virtual worlds and allows students to view the spatial relationship of real world objects that is impossible to be implemented in traditional textbooks. This study have two purposes: (1) to develop an augmented reality system to assist students solve the Rubik's cube and learn the geometry concepts of volume and surface area;and (2) to examine the effects of using the system in terms of students' improvement on spatial ability, geometry achievement, and attitudes toward learning. The system is still under development and the evaluation is yet to be done.

关键词： spatial ability augmented reality geometry Rubik's cube

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Engaging engineering Faculty in Transformative Practices 6

Engaging Engineering Faculty in Transformative Practices

引用

6th international conference on learning and teaching in computing and engineering (LaTiCE)

作者： Nelson, Robin Garcia, Stephanie Bonner, Emily P. Marone, Vittorio Yuen, Timothy T. Browning, JoAnn Univ Texas San Antonio Dept Interdisciplinary Learning & Teaching San Antonio TX 78249 USA Univ Texas San Antonio Coll Engn San Antonio TX USA

ISBN: (纸本)9781538678978

Engaging engineering faculty in transformative practices in course design and teaching is critical to student success, especially in fields like engineering where there are challenges with attrition and retention. This paper presents a current course transformation program in which engineering faculty transform the design of their courses and teaching practices to improve learning supported by embedded experts. In this program, embedded experts are education experts who work with engineering faculty in transforming courses to address the needs of their students. This evaluation study investigates the outcomes of course transformations on engineering student achievement and teaching practices. The results show an overall improvement in student achievement outcomes and indicate that it has helped participating faculty become more successful engineering educators.

关键词： engineering education transformative teaching higher education

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Designing Teacher Professional Development Workshops for Robotics Integration Across Elementary and Secondary School Curriculum 3

Designing Teacher Professional Development Workshops for Rob...

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international conference on learning and teaching in computing and engineering

作者： Zhou, Hong Yuen, Timothy T. Popescu, Cristina Guillen, Adrienne Davis, Don G. Univ Texas San Antonio Dept Interdisciplinary Learning & Teaching San Antonio TX 78249 USA

ISBN: (纸本)9781479999675

This paper describes the design of a professional development workshop on integrating robotics at the elementary and secondary school curriculum. The workshop was designed to support STEM education through teacher education at the university and post-university level. Moreover, the workshop leveraged the Technology Acceptance Model (TAM) and an interdisciplinary approach to engage teachers with robotics. The workshop's design and implementation highlights the affordances of an interdisciplinary approach for attracting a greater diversity of teachers across all content areas to provide students with educational robotics activities.

关键词： Educational robotics STEM education teacher education

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