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

共 107108 条记录，以下是4901-4910 订阅

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Redesigning a Compulsory computing Internship Course for Massification

Redesigning a Compulsory Computing Internship Course for Mas...

引用

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

作者： Chug, Sue Inn Tang, Adelina Sunway Univ Dept Comp & Informat Syst Subang Jaya Malaysia

ISBN: (纸本)9781538665220

This paper presents the design and management issues of a compulsory computing internship course in Malaysia. In the course, all computing students are required to complete a minimum of twelve weeks on the job training as part of the requirement for graduation. Extensive measures were put in place by the department to ensure that students are thoroughly assessed and monitored during their placement by both company supervisors and academic staff. We discuss our observations and scalability constraints with the course as student recruitment for all programs increases. An alternative model of assessment and administration is also presented to overcome the shortcomings of the current course design. Early implementations of the revised course resulted in better overall management by streamlining processes but also brings about new challenges.

关键词： internship company supervisors assessment administrative procedures

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teaching and learning Computer Science at Al Baha University, Saudi Arabia Insights from a staff development course 3

Teaching and Learning Computer Science at Al Baha University...

引用

international conference on learning and teaching in computing and engineering

作者： Berglund, Anders Pears, Arnold Nylen, Aletta Ahmad, Farooq Alghamdi, Bader Alghamdi, Khalid Alhabish, Ahmed Aljoufi, Abdullah Alzahrani, Eidah Alzahrani, Rami Aldmour, Ismat Athama, Areej AlSadoon, Hamada Shihab Budiarto, Rahmat Hafeez, Abdul Daudpota, Nadeem Hassan Faiz, Dhafer Gabralla, Lubna Abdel Kareim Gamar, Mohammad Hannan, Abdul Kerim, Bedine Mazarbhuiya, F. A. Rabea, Ahmed Saleem, Muhammad Qaiser Saleh, Nimir Shenify, Mohamed Uppsala Univ Dept IT UpCERG Uppsala Comp Educ Res Grp Uppsala Sweden Al Baha Univ Al Baha Saudi Arabia

ISBN: (纸本)9781479999675

In this special session we meet a set of projects in computer science and engineering education at a university in Saudi Arabia. They are the product of a pedagogical development course ran in collaboration with a Swedish university during the academic year 2013/2014. The projects reflect the local situation, with its possibilities and challenges, and suggest steps to take, in the local environment, to enhance education. As such it is a unique document that brings insights from computer science and engineering education into the international literature.

关键词： staff development Saudi Arabia computer science education learning and teaching

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Detecting Emotions of MEMEs Using a Hybrid Approach of Deep learning 3rd

Detecting Emotions of MEMEs Using a Hybrid Approach of Deep ...

引用

3rd international conference on Advancements in Smart computing and Information Security, ASCIS 2024

作者： Patel, Monali Diwanji, Hiteishi L.J University Gujarat Ahmedabad India L.D Engineering College Gujarat Ahmedabad India

ISBN: (纸本)9783031862892

Memes have evolved into a powerful tool for social interaction on platforms like Twitter, Instagram, Facebook, Pinterest, where they communicate complex emotions through a blend of images, text, and emojis. In this research, we propose a hybrid deep learning model that not only processes the textual components but also integrates the expressive use of emojis to better capture the nuanced emotions embedded in memes. While traditional sentiment analysis approaches often fall short in understanding these intricate emotional cues, our deep learning approach aims to overcome these challenges. By leveraging multimodal features—the textual content alongside visual cues like emojis. We provide a more holistic method for detecting and classifying emotions in memes, enhancing the accuracy of sentiment detection. Our research also distinguishes itself by focusing specifically on harmful, offensive, and trolling content, using hybrid deep learning models that integrate both Natural Language Processing (NLP) techniques and image recognition. This approach not only enables the system to detect sentiment but also classifies different types of toxic behavior (like trolling) that are prevalent in meme culture. The dataset used for experimentation contains a range of memes annotated with these emotional and behavioral labels. In sum, this study contributes to the existing literature by presenting an advanced, context-aware method for meme classification, emphasizing the importance of both text and visual elements. The experiments conducted showcase the effectiveness of our model in accurately detecting complex emotional expressions, particularly in memes designed to provoke or offend. This research pushes the boundaries of meme analysis, helping to mitigate online toxicity while providing new tools for sentiment analysis. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Emotion Recognition

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Comparison of Pedagogical Content Knowledge between Expert and Novice Lecturers in teaching and learning Process

Comparison of Pedagogical Content Knowledge between Expert a...

引用

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

作者： Ibrahim, Nor Hasniza Surif, Johari Abdullah, Abdul Halim Sabtu, Nur Amira Syafillin Univ Teknol Malaysia Fac Educ Educ Sci Math & Creat Multimedia Dept Skudai Malaysia

ISBN: (纸本)9781479935918

This study was conducted to study the differences in the practice level of Pedagogical Content Knowledge (PCK) between expert and novice lecturers in their teaching and learning process based on five components in PCK. The components are knowledge of 1) content, 2) importance of subject, 3) students' difficulty, 4) pedagogy, and 5) evaluation techniques. Eight lecturers were chosen in this study, consisting of four expert lecturers and four novice lecturers from the Faculty of Science in Universiti Teknologi Malaysia. The data were collected through interviews and teaching observation. The interviews were audio recorded, while the lesson observations were conducted using video recording and note taking. The data obtained were analyzed using the content analysis technique. The study found that there are differences between experts and novices lecturers in their knowledge concerning students' difficulties, importance of subject and pedagogy while the expert lecturers are masters in respect of students' difficulties and pedagogy but not concerning the importance of the subject. The results also showed that both expert and novice science lecturers are masters of knowledge concerning content and evaluation techniques.

关键词： pedagogical content knowledge expert and novice lecturer

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Handling Heterogeneity in Programming Courses for Freshmen 3

Handling Heterogeneity in Programming Courses for Freshmen

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international conference on learning and teaching in computing and engineering

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

ISBN: (纸本)9781479999675

One of the biggest challenges of the computer-science department at our university is handling the enormous heterogeneity of freshmen concerning both their previous programming abilities and their learning behaviors due to their biographical and social background. In this paper, we present the design and evaluation of a preliminary programming course based on the teaching method of Mastery learning that is particularly suited for groups of students characterized by considerable diversity. Trained peer tutors closely guide the participants through a step-by-step programming exercise. We tested the method in several courses that ran for two and a half days four weeks before the start of lectures. We collected data from two different surveys(N = 200 and N = 300, respectively). First, we quantified the considerable differences concerning the prior experience in programming of the participants. Second, we succeeded to show that the outcome of our method is independent from different sensory preferences and different computer-usage behaviors of the students. Third, the results of the survey demonstrate that our method is suited to increasing the self-perception of programming ability. This helps freshmen to overcome initial self-doubts when beginning their CS studies.

关键词： CS education learning styles Mastery learning Mastery learning Programming Cognitive Style Programmed instruction COMPUTER SCIENCE DEPARTMENTS Social Environment Curriculum

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Case-Based Instruction of "How Computer Works" Courses for High School Students 3

Case-Based Instruction of "How Computer Works" Courses for H...

引用

international conference on learning and teaching in computing and engineering

作者： Wang, Ting-Chung Taipei Municipal Jianguo High Sch Taipei Taiwan

ISBN: (纸本)9781479999675

The concept of binary, which is the basis of how computer works, is often taught in Taiwan's high school computer courses as the introductory unit of the class "Introduction to Computers". In the past, teachers used to lecture through binary concepts such as the decimal binary conversion, ASCII code transformation, and several traditional courses. However, most students did not know why they needed to learn binary concepts, and seemed less interested in learning. To enhance the effectiveness of learning, we incorporated some examples corresponding to each binary concept to link students' life experiences to the concepts in order to make learning meaningful. In this paper, we will share our teaching materials for the binary concept from the course "Introduction to Computers". The lesson starts from how computer stores values, text or image data to introduce basic concepts of binary data interpretation and hex conversion. Afterwards, a combination of simple logic gates adder instance is introduced to guide students to learn how to perform a binary compute operation. Finally, software CPU simulator is covered to allow students to learn and visualize how computer uses binary data and basic operations to perform some specific compute functions.

关键词： How computer works binary concept teaching case-based instruction

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How Do First Year Students Learn C Programming in Bhutan? 5

How Do First Year Students Learn C Programming in Bhutan?

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

作者： Tshering, Phurpa Lhamo, Dekar Yu, Lu Berglund, Anders Royal Univ Bhutan Coll Sci & Technol Dept Informat Technol Phuentsholing Bhutan Uppsala Univ Dept Informat Technol Uppsala Sweden Tongji Univ Sch Software Engn Shanghai Peoples R China Uppsala Univ Dept Informat Technol Uppsala Comp Educ Res Grp UpCERG Uppsala Sweden

ISBN: (纸本)9781538608920

This study explores how first year students in Information Technology engineering at College of Science and Technology, Royal University of Bhutan, learn C programming. An online questionnaire was administrated to the students and asked about time spent in collaborative learning, individual coding and watching someone code. These data were analyzed in correlating to their exam scores. Students' ways of preparing for exam and their concept on C programming are categorized. Our result indicate a relationship between how the different ways of working relate to their exam results. Further, the insights of the project point to that learning of theory of programming and practicing programming go hand in hand in a C programming course. Our intent is that this study will be helpful for future teachers and students in programming courses in Bhutan and in its region.

关键词： introductory programming Bhutan learning strategies C programming computing education research higher education

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Metacognitive Scaffolding to Support Students in learning Authoring System Subject 3

Metacognitive Scaffolding to Support Students in Learning Au...

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international conference on learning and teaching in computing and engineering

作者： Jumaat, Nurul Farhana Tasir, Zaidatun Univ Teknol Malaysia Dept Educ Sci Math & Creat Multimedia Johor Baharu 81310 Johor Malaysia

ISBN: (纸本)9781479999675

Authoring System is one of the computer-based subjects that expose students with creative activities using an authoring tool such as Adobe Flash software to produce multimedia applications. The demonstrations and hands-on activities among students while learning this subject are fundamental. Therefore, the guidance from the instructors through the use of metacognitive scaffolding may ease their difficulties, as this type of guidance supports students in understanding the best possible strategy to accomplish difficult tasks and thus, develop their thinking. In this study, students were scaffolded by the instructor through the use of mechanisms of metacognitive scaffolding. This guidance was delivered through the discussion on the Facebook group page, in which each prompted mechanism of metacognitive scaffolding from the instructor was coded accordingly. In addition, to demonstrate the effectiveness, students were given a pre and post test assessment. This study was carried out for seven weeks. The sample of the study was composed of twenty master students from the Educational Technology program. The quantitative analysis reveals that students' performance in learning Authoring System subject increase after receiving metacognitive scaffolding from their instructor.

关键词： metacognition metacognitive scaffolding metacognitive strategies learning performance

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Student Approach to learning in Programming Courses among Industrial Mechatronics engineering Technology Students

Student Approach to Learning in Programming Courses among In...

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

作者： Shahri, Norsyarizan Rahman, Roselainy Abdul Hussain, Noor Hamizah Univ Teknol Malaysia Kuala Lumpur Malaysia

ISBN: (纸本)9781479935918

Experience has shown that students face some difficulties in the learning of Programmable Logic Controller (PLC), Programming Technique and Micro controller courses which are the core technical courses taught in MARA High Skill College Penang (KKTM), Malaysia. As a preliminary study, it was considered pertinent to identify the learning approaches that students use and which characteristics will contribute to learning success and the achievement of learning outcomes. Thus, this study will first focus on Student Approach to learning (SAL). SAL can be described as how students approach their learning tasks during the process of study while considering their own actual motivation, how they learn the topics and how they engage in the learning process in real college context. Two learning approaches will be examined, i.e., either surface or deep learning approaches. The samples will be taken from first and second year students in Industrial Mechatronics engineering Technology Program. Questionnaire is the main instrument used that will focus on students' learning approaches. Interviews were conducted to gather more qualitative data which will support the results from the survey. The results from this study will inform and uncover the relationship among students' approaches to learning and study success. This finding will be useful to determine students' engagement in learning, and thus will help to inform on how to support and foster students use of deep learning approach and improve their self-regulation in learning.

关键词： Student approach to learning (SAL) surface learning approach deep learning approach self-regulation in learning

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Feature Extraction and Machine learning Based Predictive Models for Heart Diseases Prediction: Analyzing the Effectiveness of Multiple Models 3rd

Feature Extraction and Machine Learning Based Predictive Mod...

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3rd international conference on Advancements in Smart computing and Information Security, ASCIS 2024

作者： Sabitha, Poluru Giri, Uttam Kumar Goyal, Subhanshu Agrawal, Alok Kumar Sahoo, Ashok Kumar Sarangi, Pradeepta Kumar Chitkara University College of Nursing Chitkara University Himachal Pradesh Baddi India Chitkara University School of Engineering and Technology Chitkara University Himachal Pradesh Baddi India Department of Mathematics Marwadi University Rajkot India Chitkara University School of Engineering and Technology Chitkara University Himachal Pradesh Baddi India Graphic Era Deemed to be University Graphic Era Hill University Uttarakhand Dehradun India Chitkara University School of Engineering and Technology Chitkara University Himachal Pradesh Baddi India

ISBN: (纸本)9783031862892

Heart illness, also designated as cardiovascular illness, wraps up several disorders that influence the cardiovascular system and is the leading foundation of mortality globally throughout the duration of the previous few decades. Patients with heart diseases are increasing quickly as a result of poor consumption habits and a lack of health knowledge. Heart disease affects and kills approximately one out of every four people. In healthcare, especially in the discipline of cardiology, early and effective detection of cardiac disease is crucial. Giving patients the right therapy depends on reliable and exact identification of cardiac problems. Because Machine learning (ML) systems can find patterns in data, their usage in the healthcare sector has increased dramatically. Patients and medical personnel may all profit from a decreased chance of misdiagnosis when ML algorithms are used to identify cardiac problems. The intent of this paper is to implement ML models to analyze health decision-making using heart disease data. This work implements four ML models namely Gaussian NB., RF, DT, and SVC to analyze the medical data collected from the UCI repository. With an accuracy rate of 98%, the RF model is the finest performer, according to the data. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Diseases

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