Panel 1: Are We Providing The Right Education For Computer Science/engineering Students?

2005 ◽  
Author(s):  
Lin-Shan Lee
Keyword(s):  
Computer Science ◽  
Engineering Students ◽  
The Right

scholarly journals Statistical Analyses in Effective Usage of English Grammar of Engineering Students in Communication

2019 ◽  
Vol 9 (2) ◽  
pp. 494-499
Keyword(s):  
Computer Science ◽  
English Language ◽  
Engineering Students ◽  
Vital Role ◽  
Faculty Members ◽  
Statistical Analyses ◽  
English Grammar ◽  
The Right

Computer Science Engineering students require good command over English language to get the right placement after the course. Many fail to get the employment as they are not good at communication. English Grammar plays a vital role in making one to confident in their communication. The present paper focuses on statistical analyses of deviations in English grammar of computer science engineering students in coastal Andhra region. The analyses will help the students to concentrate on their mistakes well as the faculty members to minimize the deviations

scholarly journals Neural alignment predicts learning outcomes in students taking an introduction to computer science course

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Meir Meshulam ◽  
Liat Hasenfratz ◽  
Hanna Hillman ◽  
Yun-Fei Liu ◽  
Mai Nguyen ◽  
...  
Keyword(s):  
Computer Science ◽  
Learning Outcomes ◽  
Brain Activity ◽  
Activity Patterns ◽  
Real Life ◽  
Final Exam ◽  
Neural Representations ◽  
Real Life Setting ◽  
The Right ◽  
Mri Study

AbstractDespite major advances in measuring human brain activity during and after educational experiences, it is unclear how learners internalize new content, especially in real-life and online settings. In this work, we introduce a neural approach to predicting and assessing learning outcomes in a real-life setting. Our approach hinges on the idea that successful learning involves forming the right set of neural representations, which are captured in canonical activity patterns shared across individuals. Specifically, we hypothesized that learning is mirrored in neural alignment: the degree to which an individual learner’s neural representations match those of experts, as well as those of other learners. We tested this hypothesis in a longitudinal functional MRI study that regularly scanned college students enrolled in an introduction to computer science course. We additionally scanned graduate student experts in computer science. We show that alignment among students successfully predicts overall performance in a final exam. Furthermore, within individual students, we find better learning outcomes for concepts that evoke better alignment with experts and with other students, revealing neural patterns associated with specific learned concepts in individuals.

The construction of innovative computer practical training education model in the environment of multiple intelligences Internet of Things

2021 ◽  
pp. 1-11
Author(s):  
Yanli Bao
Keyword(s):  
Computer Science ◽  
Science Teachers ◽  
Curriculum Design ◽  
Engineering Students ◽  
Theoretical Perspective ◽  
Training Model ◽  
Practical Training ◽  
Operational Strategies ◽  
Workflow Technology ◽  
Computer Knowledge

This paper takes the application of workflow technology in a multi-smart IOT message-driven practical training execution system as the research background, analyzes the current situation and problems of the practical training execution system, and reconstructs and optimizes the original on-site practical training model and business methods according to the future development needs of the practical training execution system. This study draws on the theoretical perspective of the computer knowledge body to deeply recognize and understand the connotation of computing ability from the levels of knowledge, skills, and attitude, forms a basic understanding of computing ability through literature combing, and refines the core elements of computing ability through a combination of enterprise case study, content analysis, and questionnaire survey, strives to form a more systematic and in-depth understanding of the connotation and elements of computing ability. It also provides a reference for the clarification of computing ability training objectives of computer science teachers under the trend of intelligence. Facing the enhancement of computing ability of engineering students majoring in computer science at the undergraduate level, the objectives of computing ability cultivation are clarified, the key points of computing ability cultivation mode are refined from three levels: curriculum design, teaching operation, management, and control, and three typical computing ability cultivation modes embedded in undergraduate computer education are constructed: knowledge module combination mode, computing context experience mode, and intelligent industry-leading mode. The operational strategies and implementation paths of the models are discussed in depth. This study emphasizes that, based on the analysis of the characteristics of the trend of intelligence, the computing ability cultivation model is not static.

Making the Right Move to Senior Researcher

2021 ◽  
Vol 50 (2) ◽  
pp. 30-32
Author(s):  
Patrick Valduriez
Keyword(s):  
Data Management ◽  
Computer Science ◽  
Good Work ◽  
Opportunities To Learn ◽  
National Research Institute ◽  
Research Environment ◽  
Research Institution ◽  
Senior Researcher ◽  
The Right ◽  
Research Institute

I have been working on research in data management for the last 40 years. I like my job and my research institution (Inria, the French national research institute for computer science), which have offered me great opportunities to learn a lot, do good work, get to know smart and nice people and overall feel useful. However, since the early days of my mid-career, the research environment, including academia and industry, has certainly become more complex, making the move from junior (or pre-tenure) researcher to senior researcher quite challenging. Based on my experience, I review some of the main questions and challenges and give some hints on how to deal with them. I'll sometimes use stories and anecdotes to illustrate the point.

scholarly journals UPAYA MENINGKATKAN KREATIFITAS BELAJAR MAHASISWA PENDIDIKAN MATEMATIKA MENGGUNAKAN GEOGEBRA DENGAN PENDEKATAN PROBLEM POSING

2016 ◽  
Vol 8 (2) ◽  
pp. 69
Author(s):  
Syariful Fahmi ◽  
Soffi Widyanesti Priwantoro
Keyword(s):  
Computer Science ◽  
Student Learning ◽  
Problem Posing ◽  
Learning Approach ◽  
Research Activity ◽  
Introductory Computer Science ◽  
Average Student ◽  
Combined Use ◽  
The Right ◽  
Academic Year

 Problems in learning introductory computer science which need urgent resolution is the problem related to the creativity of the student learning. Along with the existence of the use of software geogebra to ease the learning of mathematics, as well as the existence of a problem posing approach, the above problem resolution efforts got the right momentum. The learning approach that is used in this research is the h problem posing approach with combined use of software geogebra. As for the purposes of this learning approach is to improve creativity of students learning.This research activity involves two lecturers and 21 students in class introduction of computer science at semester 4 academic year 2015-2016. Student creativity data collected by using a sheet of observation which further analyzed in qualitative descriptive.Based on the results of data analysis it is known that the use of the problem posing approach can raise average student learning where creativity before the cycle 1 is being implemented (score 1.06). While once held a series of activities cycle 2 is known to the average student learning categories include creativity high (score 2.09). This indicates the occurrence of increased creativity learning of students.

Exploration of the Dynamics of Neuro-Cognition During TRIZ

2021 ◽  
Author(s):  
Julie Milovanovic ◽  
Mo Hu ◽  
Tripp Shealy ◽  
John Gero
Keyword(s):  
Engineering Design ◽  
Engineering Students ◽  
Cognitive Differences ◽  
Cognitive Activation ◽  
Solution Generation ◽  
Engineering Parameters ◽  
Medial Pfc ◽  
The Right ◽  
Support Engineering ◽  
Structured Approach

Abstract The Theory of Inventive Problem Solving (TRIZ) method and toolkit provides a well-structured approach to support engineering design with pre-defined steps: interpret and define the problem, search for standard engineering parameters, search for inventive principles to adapt, and generate final solutions. The research presented in this paper explores the neuro-cognitive differences of each of these steps. We measured the neuro-cognitive activation in the prefrontal cortex (PFC) of 30 engineering students. Neuro-cognitive activation was recorded while students completed an engineering design task. The results show a varying activation pattern. When interpreting and defining the problem, higher activation is found in the left PFC, generally associated with goal directed planning and making analytical. Neuro-cognitive activation shifts to the right PFC during the search process, a region usually involved in exploring the problem space. During solution generation more activation occurs in the medial PFC, a region generally related to making associations. The findings offer new insights and evidence explaining the dynamic neuro-cognitive activations when using TRIZ in engineering design.

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