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In the 21st century, the skills of computational thinking complement those of traditional math teaching. In order to gain the knowledge required to teach these skills, a cohort of math teachers participated in an in-service training scheme conducted as a massive open online course (MOOC). This paper analyses the success of this training scheme and uses the results of the study to focus on the skills of computational thinking, and to explore how math teachers expect to integrate computing into the K-12 math syllabus. The coursework and feedback from the MOOC course indicate that they readily associate computational thinking with problem solving in math. In addition, some of the teachers are inspired by the new opportunities to be creative in their teaching. However, the set of programming concepts they refer to in their essays is insubstantial and unfocused, so these concepts are consolidated here to form a hypothetical learning trajectory for computational thinking.

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Computing is the latest add-on to enhance the K-12 curricula of many countries, with the purpose of closing the digital skills gap. The revised Finnish Curriculum 2014 integrates computing mainly into math. Consequently, Finland needs to train math teachers to teach computing at elementary level. This study describes the Python and Racket tracks of the Code ABC MOOC that introduce programming basics for math teachers. Their suitability for math is compared based on the course content and feedback. The results show that conceptually the functional paradigm of Racket approaches math more closely, in particular algebra. In addition, Racket is generally regarded as more challenging in terms of syntax and e.g. for utilizing recursion as an iteration mechanism. Math teachers also rank its suitability higher because the content and exercises of the track are specifically tailored for their subject.

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