An Instrument to Assess Self-Efficacy in Introductory Algorithms Courses

被引：17

作者：

Danielsiek, Holger ^{[1
]}

Toma, Laura ^{[2
]}

Vahrenhold, Jan ^{[1
]}

机构：

[1] Westfalische Wilhelms Univ, Dept Comp Sci, Einsteinstr 62, D-48149 Munster, Germany

[2] Bowdoin Coll, Dept Comp Sci, 8650 Coll Stn, Brunswick, ME 04011 USA

来源：

PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER 17) | 2017年

关键词：

Computer Science Education; Self-Efficacy; Algorithms; VALIDATION;

D O I：

10.1145/3105726.3106171

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We report on the development and validation of an instrument to assess self-efficacy in an introductory algorithms course. The instrument was designed based upon previouswork by Ramalingam and Wiedenbeck and evaluated in a multi-institutional setup. We performed statistical evaluations of the scores obtained using this instrument and compared our findings with validated psychometric measures. These analyses show our findings to be consistent with self-efficacy theory and thus suggest construct validity.

引用

页码：217 / 225

页数：9

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