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The data consist of video recordings from collaborative exam sessions lasting 90 minutes and physiological data captured from each student with Empatica 4.0 sensors. The video data were analyzed using qualitative content analysis to identify monitoring events. Students\u2019 physiological arousal was determined through peak detection, and physiological concordance was used as an index for the students\u2019 physiological synchrony. The individual and group level analysis investigated arousal and physiological synchrony in concordance with monitoring during the collaborative exam. The results showed that, in each group, each student contributed to joint monitoring. In addition, the monitoring activities exhibited a significant correlation with the arousal, indicating that monitoring events are reflected in physiological arousal. Physiological synchrony occurred within two groups, which experienced difficulties during the collaborative exam, whereas the two groups who had no physiological synchrony did not experience difficulties. It is concluded that physiological synchrony may be a new indicator for recognizing meaningful events in CSCL<\/jats:p>","DOI":"10.1007\/s11412-019-09311-4","type":"journal-article","created":{"date-parts":[[2019,12,7]],"date-time":"2019-12-07T07:02:41Z","timestamp":1575702161000},"page":"467-490","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Are we together or not? 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