Search

Emotions are critical to learning. However, the function of emotions in the emerging context of massive open online courses (MOOCs) has been under‐researched. The present study complemented this line of research by modelling the relation between learner emotions, engagement with videos, engagement with assignments, and self‐perceived achievement in a small private online course—a localized instance of an extended MOOC. The results suggested that whereas enjoyment, excitement, boredom, and annoyance were all significant predictors of video engagement, only excitement and annoyance were significant predictors of assignment engagement. Excitement, in particular, was the strongest or stronger predictor of both types of engagement. In addition, both types of engagement predicted self‐perceived achievement, but video engagement predicted self‐perceived achievement via the mediation of assignment engagement. Implications for designing more effective MOOCs were proposed. Lay Description: What is currently known about the subject Emotions predict engagement in learning settings other than MOOCs.Engagement predicts achievement in learning settings including MOOCs.Assignment engagement predicts achievement in MOOCs better than video engagement. What this paper adds The two types of engagement are predicted by different sets of emotions.Engagement predicts self‐perceived achievement in the SPOC.Video engagement predicts self‐perceived achievement via the mediation of assignment engagement.The majority of systematic reviews did not evaluate the quality of the primary papers which they examined. Implications for practitioners MOOC researchers should pay more attention to the design of assignments.MOOC developers should try to build more emotionally‐sound courses and platforms. [ABSTRACT FROM AUTHOR]

Aims This study examines the preliminary outcomes of an intervention targeting service providers in methadone maintenance therapy ( MMT) clinics in China. The intervention effects on both service providers and clients are reported. Design The MMT CARE intervention pilot was developed and implemented collaboratively with local health educators. After three group intervention sessions, trained providers in intervention clinics delivered two individual motivational interviewing sessions with their clients. Settings Six clinics in Sichuan, China, were randomized to either the MMT CARE intervention condition or a standard care condition. Participants A total of 41 providers and 179 clients were sampled from the six clinics. Measurements At baseline and three-, six-, and nine-month assessments, providers completed self-administrated paper/pencil questionnaires regarding provider-client interaction, MMT knowledge, perceived job-related stigma and clinic support. Clients completed a face-to-face survey about their concurrent drug use and drug avoidance self-efficacy. Mixed-effects regression models with clinic-level random effect were used to assess the intervention effects. Findings Significant intervention effects for providers were found in improved MMT knowledge, provider-client interaction and perceived clinic support. For clients, better improvements in drug avoidance self-efficacy and reduced concurrent drug use were observed for the intervention compared with the standard care group. Conclusions The MMT CARE intervention targeting providers in methadone maintenance clinics can improve providers' treatment knowledge and their interaction with clients. The intervention can also reduce clients' drug-using behavior through motivational interviewing sessions conducted by trained providers. [ABSTRACT FROM AUTHOR]