This study aims to assess the effects of teaching programming with mBlock on self-efficacy perceptions and attitudes considering programming. Particularly, this study tries to research whether there is a gender difference in middle school students or not. The study was conducted in pre-test/post-test quasi experimental design. The participants of the study which was completed in twelve weeks were 82 middle school students. The data were collected through “Educational Computer Games Assisted Learning Coding Attitude Scale” and “Computer Programming Self-efficacy Scale”. The results of the research indicate that although the self-efficacy perceptions of boys towards programming were higher than the girls’ at the beginning of the research, this difference was closed at the end of the research. The results also show that teaching programming with mBlock to middle school students did not cause gender differences in self-efficacy perceptions and attitudes regarding programming. Although girls’ attitudes regarding programming were slightly higher than boys’, the difference was not considered to be significant. In addition, it was found that programming with mBlock significantly increased students' self-efficacy perceptions and attitudes towards programming. As a result, teaching programming with mBlock can provide similar possibilities for both genders in self-efficacy perceptions and attitudes regarding programming.

Studies have acknowledged computational thinking (CT) as an efficient approach for problem-solving particularly required in digital workplaces. This research aims to identify indicators for a holistic CT assessment instrument for undergraduate students. A three-round fuzzy Delphi study has been conducted to gain comprehensive opinions and consensus from undergraduate lecturers of computer science disciplines and experts from the information technology industry. In round 1, the experts judged a set of predefined indicators describing CT skills and attitudes identified from the literature, while rounds 2 and 3 focused on variables selection. The consensus was achieved on holistic CT, and the indicators are teamwork, communication, spiritual intelligence, generalization, problem-solving, algorithmic thinking, evaluation, abstraction, decomposition, and debugging. Results demonstrate the importance of attitudes in the process of solving a problem and suggest higher education institutions to consider holistic CT in preparing qualified future graduates. Many CT studies focused only on the skills of CT. This study outlines the assessment indicators that consider both CT skills and attitudes, particularly at the undergraduate level.

Using unplugged coding activities to promote computational thinking (CT) among secondary learners has become increasing popular. Benefits of using unplugged coding activities involve the cost-effective implementation, the ability to promote computer science concepts and self-efficacy in learning computer programming, and the engaging nature of active learning through collaboration. However, there is insufficient information regarding qualitative investigation on how learners develop their CT skills while working on unplugged coding tasks. This study therefore developed unplugged coding activities using flowcharts for high school students to learn computer science concepts, and to promote their CT skills. The activities consisted of five missions encompassing the concepts of sequence, repetition, input & variable, condition, and loop with condition. The data collection was carried out with 120 high students whose participation was video recorded and observed. A thematic analysis revealed that patterns of CT development started from initially developed, to partially developed and fully developed stages, respectively. The various stages were derived from different abilities to apply the computer science concepts to complete the missions with different expressions of CT skills. In addition, the study proposed a 3S self-directed learning approach for fostering the CT development, composing of self-check (in pairs), self-debug (in pairs), and scaffolding. It is therefore suggested to use the 3S model integrated with the unplugged coding activities for developing CT among high school learners.