TY - GEN
T1 - Teaching computer image processing subject to middle school students
T2 - 9th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2016
AU - Asad, Khaled
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Today’s youth are making extensive use of technological devices such as smart phones and computers. These devices are based on inter-disciplinary knowledge. Are these young students attracted to learn the computer principles that these devices are based on? Many educators agree that one of the methods to foster learning in school is to connect the topics of study with students’ interests, experiences and daily life, ‘contextual learning’. This paper describes a research aimed at examining the case of teaching a course on computer image processing to middle school students, and evaluating its influence on students cognitively and effectively. The study included the development, implementation and evaluation of a computer image-processing course. The course was taught to 34 9th-grade students in two groups. The control population comprised 64 9th-grade students in three groups. The study included developing an instructional model consisting of four phases: teaching theory, manual and computerized practices, implementing challenging tasks, and projects. Data were collected by using quantitative and qualitative research tools, such as two exams, three projects and a half-opened attitude questionnaire about learning computers, class observations and semi-structured interviews with students and teachers. Findings showed that young students’ achievements were very well in learning principles of image processing. In the mathematics exam, the experimental students’ achievements were significantly higher than the control students’ achievements. The students showed high motivation and great interest in learning the course. Finding showed that the instructional model developed in the study was the main component influencing the experimental students’ achievements and motivation.
AB - Today’s youth are making extensive use of technological devices such as smart phones and computers. These devices are based on inter-disciplinary knowledge. Are these young students attracted to learn the computer principles that these devices are based on? Many educators agree that one of the methods to foster learning in school is to connect the topics of study with students’ interests, experiences and daily life, ‘contextual learning’. This paper describes a research aimed at examining the case of teaching a course on computer image processing to middle school students, and evaluating its influence on students cognitively and effectively. The study included the development, implementation and evaluation of a computer image-processing course. The course was taught to 34 9th-grade students in two groups. The control population comprised 64 9th-grade students in three groups. The study included developing an instructional model consisting of four phases: teaching theory, manual and computerized practices, implementing challenging tasks, and projects. Data were collected by using quantitative and qualitative research tools, such as two exams, three projects and a half-opened attitude questionnaire about learning computers, class observations and semi-structured interviews with students and teachers. Findings showed that young students’ achievements were very well in learning principles of image processing. In the mathematics exam, the experimental students’ achievements were significantly higher than the control students’ achievements. The students showed high motivation and great interest in learning the course. Finding showed that the instructional model developed in the study was the main component influencing the experimental students’ achievements and motivation.
KW - Computer science education
KW - Constructive learning
KW - Contextual learning
KW - Interdisciplinary learning
KW - Mathematics in context
UR - http://www.scopus.com/inward/record.url?scp=84988826421&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46747-4_1
DO - 10.1007/978-3-319-46747-4_1
M3 - Conference contribution
AN - SCOPUS:84988826421
SN - 9783319467467
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 3
EP - 13
BT - Informatics in Schools
A2 - Brodnik, Andrej
A2 - Tort, Françoise
PB - Springer Verlag
Y2 - 13 October 2016 through 15 October 2016
ER -