Abstract
In this paper, a method for improving the teaching materials of programming education is introduced, and the evaluation of the effects of using the strategy is presented. By using this method, the teachers of programming education will be able to assess and improve their teaching materials irrespective of their knowledge and experience of their teaching materials already used. In this method, the teaching materials were improved based on the statistical analysis of the motivation of students. Specifically, the motivation of students was measured for each lower category of ARCS motivation model with the authors' original questionnaire. The lower category in a particular lesson that showed a statistically significant decrease from the previous lesson was identified, and the improvement strategies for the lower category were selected from the list of motivation strategies in the ARCS model. The teaching materials of programming education were then improved based on the strategy. In this research, five lower categories of particular lessons in a programming course were identified, and the teaching materials were improved. The improved teaching materials were used in the following programming course, and the effects of the improvements were seen in three lower categories out of the identified five lower categories.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - Frontiers in Education Conference, FIE |
| Pages | 717-723 |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 43rd IEEE Annual Frontiers in Education Conference, FIE 2013 - Oklahoma City, OK, United States Duration: Oct 23 2013 → Oct 26 2013 |
Other
| Other | 43rd IEEE Annual Frontiers in Education Conference, FIE 2013 |
|---|---|
| Country | United States |
| City | Oklahoma City, OK |
| Period | 10/23/13 → 10/26/13 |
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Keywords
- ARCS motivation model
- Motivation
- Motivation strategies
- Programming education
ASJC Scopus subject areas
- Computer Science Applications
- Software
- Education
Cite this
The effects of teaching material remediation with ARCS-strategies for programming education. / Tsukamoto, Hidekuni; Takemura, Yasuhiro; Nagumo, Hideo; Monden, Akito; Matsumoto, Ken Ichi.
Proceedings - Frontiers in Education Conference, FIE. 2013. p. 717-723 6684920.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - The effects of teaching material remediation with ARCS-strategies for programming education
AU - Tsukamoto, Hidekuni
AU - Takemura, Yasuhiro
AU - Nagumo, Hideo
AU - Monden, Akito
AU - Matsumoto, Ken Ichi
PY - 2013
Y1 - 2013
N2 - In this paper, a method for improving the teaching materials of programming education is introduced, and the evaluation of the effects of using the strategy is presented. By using this method, the teachers of programming education will be able to assess and improve their teaching materials irrespective of their knowledge and experience of their teaching materials already used. In this method, the teaching materials were improved based on the statistical analysis of the motivation of students. Specifically, the motivation of students was measured for each lower category of ARCS motivation model with the authors' original questionnaire. The lower category in a particular lesson that showed a statistically significant decrease from the previous lesson was identified, and the improvement strategies for the lower category were selected from the list of motivation strategies in the ARCS model. The teaching materials of programming education were then improved based on the strategy. In this research, five lower categories of particular lessons in a programming course were identified, and the teaching materials were improved. The improved teaching materials were used in the following programming course, and the effects of the improvements were seen in three lower categories out of the identified five lower categories.
AB - In this paper, a method for improving the teaching materials of programming education is introduced, and the evaluation of the effects of using the strategy is presented. By using this method, the teachers of programming education will be able to assess and improve their teaching materials irrespective of their knowledge and experience of their teaching materials already used. In this method, the teaching materials were improved based on the statistical analysis of the motivation of students. Specifically, the motivation of students was measured for each lower category of ARCS motivation model with the authors' original questionnaire. The lower category in a particular lesson that showed a statistically significant decrease from the previous lesson was identified, and the improvement strategies for the lower category were selected from the list of motivation strategies in the ARCS model. The teaching materials of programming education were then improved based on the strategy. In this research, five lower categories of particular lessons in a programming course were identified, and the teaching materials were improved. The improved teaching materials were used in the following programming course, and the effects of the improvements were seen in three lower categories out of the identified five lower categories.
KW - ARCS motivation model
KW - Motivation
KW - Motivation strategies
KW - Programming education
UR - http://www.scopus.com/inward/record.url?scp=84893224368&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893224368&partnerID=8YFLogxK
U2 - 10.1109/FIE.2013.6684920
DO - 10.1109/FIE.2013.6684920
M3 - Conference contribution
SN - 9781467352611
SP - 717
EP - 723
BT - Proceedings - Frontiers in Education Conference, FIE
ER -