A SOCIO-TECHNICAL APPROACH TO UNDERGRADUATE COMPUTER SCIENCE STUDENT DEVELOPMENT

Abstract The digitalization of journalism has resulted in an increased overlap between technology and journalism in the newsroom. This development has profound implications for journalism education. The present study investigates a team-based experiential learning project between journalism and computer science students in a digital feature journalism course. Using the concept of trading zones as our analytical lens, we explore the students’ thoughts and opinions regarding professional roles and boundaries as well as areas of tension and spaces of mutual understanding in the collaborative context. Using mixed methods and data from questionnaires, observations and semi-structured interviews, the study demonstrates how trading zones between journalism and computer science students varied from homogenous collaboration to heterogeneous coercion, with diverse experiences of collaboration, coordination and collapse.

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Proceedings of the 2nd Computer Science Student Workshop: Microsoft Istanbul, Turkey, April 9, 2011

10.5900/su_fens_pc.2011.17569 ◽

2011 ◽

Keyword(s):

Computer Science ◽

Science Student ◽

Computer Science Student

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THE EFFECT OF ACHIEVEMENT MOTIVATION, HOW TO LEARN, AND THE ECONOMIC CONDITIONS OF PARENTS ON GPA OF COMPUTER SCIENCE STUDENT

Education, Sustainability And Society ◽

10.26480/ess.01.2020.20.26 ◽

2020 ◽

Vol 3 (1) ◽

pp. 20-26

Author(s):

Halifia Hendri ◽

Sitti Rizki Mulyani ◽

Emil Salim

Keyword(s):

Computer Science ◽

Achievement Motivation ◽

Hypothesis Test ◽

Economic Conditions ◽

Coefficient Of Determination ◽

Homogeneity Test ◽

Science Student ◽

Inferential Analysis ◽

Computer Science Student ◽

Linearity Test

Every student and their parents want a high GPA with a summa cum laude degree. Many things can affect the GPA, three of which are achievement motivation, how to learn and the economic conditions of the parents of these students. The purpose of this study is to reveal how much the effect of achievement motivation, how to learn, and the economic conditions of parents on GPA of computer science student for individually or jointly variable. This research is associative research. The population in this study were all computer science department students who are active and registered at Putra Indonesia University YPTK Padang. The technique used for sampling is simple random sampling. Data processing methods are descriptive analysis and inferential analysis. The Inferential analysis consists of a normality test, variant homogeneity test, linearity test, hypothesis test 1, 2 and 3 (t-test), test coefficient of determination, and multiple variable hypotheses (F-test). By doing this research, it can be revealed that, 1. There is a positive and significant effect between achievement motivation on GPA with t count = 2.822 and t table = 1.99, t count> t table, 2. There is a positive and significant effect between the how to learn on GPA with t count = 2.486 and t table= 1.99 then t count > t table, 3. There is not a positive and not significant effect between the economic conditions of parents on the GPA with t count = 1.550 and t table = 1, 79 then t count > t table, 4. There is a positive and not significant effect between achievement motivation, how to learn, and parental economic conditions together GPA with F count = 3.220 and F table = 3.124 then F count > F table. This research is limited to the GPA scores of students who are active and registered at Putra Indonesia University YPTK Padang between 2017-2018. The uniqueness of this study is trying to express the effect of variables that are rarely linked before, namely the economic condition of parents of students on GPA. In addition, the research also revealed the effect of the three variables.

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