scholarly journals Board 77 : Work in Progress: An Analysis of Correlations in Student Performance in Core Technical Courses at a Large Public Research Institution’s Electrical and Computer Engineering Department

2020 ◽  
Author(s):  
Christopher Robbiano ◽  
Anthony Maciejewski ◽  
Edwin Chong
Keyword(s):  
Student Performance ◽  
Computer Engineering ◽  
Public Research ◽  
Work In Progress ◽  
Engineering Department

Pedagogical Explanation Methods of Teaching Matrix Programming Operations: Effects on Students’ Achievements in IPCs

2015 ◽  
Vol 1 (3) ◽  
pp. 69
Author(s):  
Arjan Skuka
Keyword(s):  
Programming Languages ◽  
Teaching And Learning ◽  
Computer Programming ◽  
General Level ◽  
Control Group ◽  
Group Model ◽  
Computer Engineering ◽  
Success Rates ◽  
Engineering Department ◽  
Students Success

Despite the fact that introductory programming courses (IPCs) are taught at universities for more than thirty years, students still find computer programming very difficult to learn. Programming pedagogy deals with the methods and principles of teaching and learning computer programming. The programming pedagogical approaches that have been proposed to increase the efficiency of teaching and learning computer programming mostly focus on the tools, paradigms, programming languages and environments used in IPCs. To increase significantly the students’ success rates in IPCs, these approaches should be complemented with pedagogical explanation (PE) methods. This research is focused on a PE method of teaching sequential search of a matrix row (SSMR). The research was designed as experimental study with pretest-posttest control group model, involving students of Computer Engineering department Izmir University. While the experimental group was subjected to a pedagogical explanation method, a traditional explanation method was applied in the control group. To collect the research data, an achievement pretest, posttest and a questionnaire were developed and applied. The research findings showed the effectiveness of teaching SSMR by using a PE method. This method positively influenced students’ level of topic comprehension, which consequently improved their achievements. In order for students to understand better the other matrix programming operations, similar PE methods should be developed and used in IPCs. On a more general level, the results of this research suggested that PE methods should be developed and used for other topics that students usually find difficult to understand in IPCs. Using these methods can be a very important factor in significantly increasing students’ success in IPCs.

An Example Application of an Artificial Intelligence-Supported Blended Learning Education Program in Computer Engineering

2018 ◽  
pp. 1304-1323
Author(s):  
Tuncay Yigit ◽  
Arif Koyun ◽  
Asim Sinan Yuksel ◽  
Ibrahim Arda Cankaya ◽  
Utku Kose
Keyword(s):  
Artificial Intelligence ◽  
Blended Learning ◽  
Engineering Education ◽  
Education Program ◽  
Learning Approach ◽  
Computer Engineering ◽  
Student Records ◽  
Educational Processes ◽  
Engineering Department ◽  
Teachers And Students

Blended Learning is a learning model that is enriched with traditional learning methods and online education materials. Integration of face-to-face and online learning with blending learning can enhance the learning experience and optimize seat time. In this chapter, the authors present the teaching of an Algorithm and Programming course in Computer Engineering Education via an artificial intelligence-supported blended learning approach. Since 2011, Computer Engineering education in Suleyman Demirel University Computer Engineering Department is taught with a blended learning method. Blended learning is achieved through a Learning Management System (LMS) by using distance education technology. The LMS is comprised of course materials supported with flash animations, student records, user roles, and evaluation systems such as surveys and quizzes that meet SCORM standards. In this chapter, the related education process has been supported with an intelligent program, which is based on teaching C programming language. In this way, it has been aimed to improve educational processes within the related course and the education approach in the department. The blended learning approach has been evaluated by the authors, and the obtained results show that the introduced artificial intelligence-supported blended learning education program enables both teachers and students to experience better educational processes.

Analysis of a Feedback Assessment Loop in Engineering Sciences Core Curriculum

2013 ◽  
Author(s):  
Amitabha Ghosh
Keyword(s):  
Learning Outcomes ◽  
Student Performance ◽  
Core Curriculum ◽  
Assessment Process ◽  
Learning Outcomes Assessment ◽  
Rochester Institute Of Technology ◽  
Engineering Sciences ◽  
Engineering Department ◽  
Institute Of Technology ◽  
Behavioral Influences

A formal two-loop learning outcomes assessment process has been evaluated in the mechanical engineering department at Rochester Institute of Technology. This initiative, originally called the Engineering Sciences Core Curriculum (ESCC), provided systematic course learning outcomes and assessment data of student performance in Statics, Mechanics, Dynamics, Thermodynamics, Fluid Mechanics and Heat Transfer. This paper reports detailed analyses with some important observations in the Statics-Dynamics sequence to determine obstacles in student performance. New data shows that students’ mastery of Dynamics is affected largely by incorrect interpretations and weak retention of fundamentals in Statics. Further evidence of students’ behavioral influences are discussed requiring a future focus in this area. This report completes the 5 year feedback loop designed to achieve the ESCC goals on the Statics-Dynamics sequence.

Work in progress: Embedded computer engineering learning platform capabilities

2015 ◽  
Author(s):  
Martin Zagar ◽  
Nikolina Frid ◽  
Josip Knezovic ◽  
Daniel Hofman ◽  
Mario Kovac ◽  
...  
Keyword(s):  
Computer Engineering ◽  
Work In Progress ◽  
Learning Platform ◽  
Embedded Computer

Pedagogical Explanation Methods of Teaching Matrix Programming Operations: Effects on Students’ Achievements in IPCs

2015 ◽  
Vol 3 (1) ◽  
pp. 69
Author(s):  
Arjan Skuka
Keyword(s):  
Programming Languages ◽  
Teaching And Learning ◽  
Computer Programming ◽  
General Level ◽  
Control Group ◽  
Group Model ◽  
Computer Engineering ◽  
Success Rates ◽  
Engineering Department ◽  
Students Success

Despite the fact that introductory programming courses (IPCs) are taught at universities for more than thirty years, students still find computer programming very difficult to learn. Programming pedagogy deals with the methods and principles of teaching and learning computer programming. The programming pedagogical approaches that have been proposed to increase the efficiency of teaching and learning computer programming mostly focus on the tools, paradigms, programming languages and environments used in IPCs. To increase significantly the students’ success rates in IPCs, these approaches should be complemented with pedagogical explanation (PE) methods. This research is focused on a PE method of teaching sequential search of a matrix row (SSMR). The research was designed as experimental study with pretest-posttest control group model, involving students of Computer Engineering department Izmir University. While the experimental group was subjected to a pedagogical explanation method, a traditional explanation method was applied in the control group. To collect the research data, an achievement pretest, posttest and a questionnaire were developed and applied. The research findings showed the effectiveness of teaching SSMR by using a PE method. This method positively influenced students’ level of topic comprehension, which consequently improved their achievements. In order for students to understand better the other matrix programming operations, similar PE methods should be developed and used in IPCs. On a more general level, the results of this research suggested that PE methods should be developed and used for other topics that students usually find difficult to understand in IPCs. Using these methods can be a very important factor in significantly increasing students’ success in IPCs.

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