@inBook{
 title = {A Review of Emotion-Aware Systems for e-Learning in Virtual Environments},
 type = {inBook},
 year = {2016},
 identifiers = {[object Object]},
 keywords = {Affect,Affective feedback,Affective learning,Affective state,Detection,E-Learning,Emotion,Emotion awareness,Emotion intelligence,Recognition},
 pages = {217-242},
 month = {5},
 publisher = {Elsevier Inc.},
 day = {10},
 id = {2799ff14-77cd-3621-b355-b8974b1f2aae},
 created = {2020-02-03T15:25:12.796Z},
 accessed = {2020-02-03},
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 profile_id = {66be748e-b1e3-36e1-95e1-5830d0ccc3ca},
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 abstract = {Current emotion-aware systems still strive to provide a means to effectively deal with important issues in e-learning such as: students' lack of self-confidence, high dropout rates, low motivation and engagement, self-regulation and task performance. Consequently, many learning systems have been produced from current research in the areas of adaptive and personalized learning, which certainly need to consider and incorporate emotion-awareness features to enhance their ability to adapt to the real internal world of each student and to be capable of providing effective personalized feedback to a spectrum of student needs. The integration of emotion awareness can greatly advance the frontiers of educational technologies and provide an added value to enhance and improve the overall distance learning experience, as well as deliver cost-effective training programs.},
 bibtype = {inBook},
 author = {Feidakis, M.},
 book = {Formative Assessment, Learning Data Analytics and Gamification: In ICT Education}
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