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Although educators over the past decade have developed various scales measuring students' computer attitudes, few of them have constructed scales specifically for attitudes towards the Internet. The purpose of this study was to develop an Internet attitude scale for high school students. Through both revising a previous scale proposed by Selwyn (1997) [Selwyn, N. (1997. Students' attitudes toward computers: validation of a computer attitude scale for 16-19 education. Computers & Education, 28(1), 35-41] and writing new items, this study developed an Internet Attitude Scale of 18 items, with the following four subscales: perceived usefulness, affection, perceived control, and behavior. This study also explored gender differences on the scale, and the relationship between Internet experience and students' responses on the scale. Research data gathered from 753 Taiwan high school students revealed that students of different gender and various Internet experiences did not show statistical differences on the perceptions toward the potential usefulness of the Internet subscale. However, male students tended to express more positive feeling, lower anxiety, and higher confidence toward using the Internet than female students. Students having more Internet experience tended to show similar positive attitudes than those of less experience.

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Split-attention and redundancy effects on mobile learning in physical environments. Computers & Education.

Computer programming has been gradually emphasized in recent computer literacy education and regarded as a requirement for all middle school students in some countries. To understand young students' perceptions about their own learning in computer programming, this study aimed to develop an instrument, Computer Programming Self-Efficacy Scale (CPSES), for all students above middle school levels. Based on Berland and Lee's computational thinking framework, this study developed the CPSES items at a literacy level and finally the instrument included the five subscales: Logical Thinking, Algorithm, Debug, Control, and Cooperation. An exploratory factor analysis and reliability tests were conducted in this study. The reliability alpha was .96 for the overall scale, and ranged from .84 to .96 for the subscales. This study also confirmed the positive correlation between computer programming experience and computer programming self-efficacy. In addition, for low-and middle-experienced learners, significant gender differences were found in two subscales: Algorithm and Debug. The CPSES can be applied as an evaluation tool in computer education, robotics education, as well as integrated STEM or STEAM education in which computer programming was regarded as a part of computer literacy.