This paper presents affect data collected from periodic emotion detection surveys throughout an introductory Statistics MOOC called "I Heart Stats." This is the first MOOC, to our knowledge, to capture valuable student affect data through self-reported surveys. To collect student affect, we used two self-reporting methods: (1) The Self-Assessment Manikin and (2) A discrete emotion list. We found that the most common reported MOOC emotion was  Hope  followed by  Enjoyment  and  Contentment . There were substantial shifts in affective states over the course, notably with  Anxiety  and  Pride . The most valuable result of our study is a preliminary description of the methods for collecting self-reported student affect at scale in a MOOC setting.
['John Dillon', 'G. Alex Ambrose', 'Nirandika Wanigasekara', 'Malolan Chetlur', 'Prasenjit Dey', 'Bikram Sengupta', "Sidney K. D'Mello"]
Student affect during learning with a MOOC