Investigating Interest in Applying Computer Science for Agriculture Digitalization using the Individual Interest Questionnaire: A Survey to Computer Science Student

This title has been presented on Friday, December 15, 2023 at 08.25-08.35 GMT+7.

Abstract

This title has been presented on Friday, December 15, 2023 at 08.25-08.35 GMT+7.

This paper investigates the interest of computer science students in applying their skills to the agricultural sector to reach sustainable production, achieving zero hunger of sustainable development goals. Recognising a gap in research regarding the inclination of computer science students to engage in agriculture, this study conducts a comprehensive analysis at IPB University. Utilising the Individual Interest Questionnaire Approach, the research encompasses responses from 126 undergraduate computer science students. The survey revealed that while students have a moderate general interest in agriculture (average 3.31 out of 5.00), their engagement in agricultural topics outside the classroom, such as reading about agriculture or watching related media, is notably lower (averages 2.30 and 2.52, respectively). Additionally, students express enthusiasm for case studies on applying computer science in agriculture within academic settings (average 3.05) yet show less inclination towards agriculture as a personal interest or career choice (averages 2.31 and 2.50). The findings indicate that while there is an acknowledgement of the crucial role of computer science in agriculture digitalisation, student interest predominantly leans towards an academic understanding rather than a personal passion for agriculture. The survey also reveals that although there is a moderate general interest in agricultural topics among the students, engagement in agricultural activities outside the academic setting is relatively lower. The paper suggests action points for IPB University to enhance computer science student involvement in agricultural digitalisation, such as integrating agricultural technology courses, fostering industry collaborations, encouraging research, organising competitions, and conducting awareness programs, thereby bridging the gap between computer science and agriculture. This paper contributes to the limited body of research in this area, highlighting the need for educational strategies that better align computer science students' skills and interests with the opportunities in agricultural digitalisation.