This study aims to provide support for the efficacy of the FOLC by examining communication betwee... more This study aims to provide support for the efficacy of the FOLC by examining communication between participants within a series of recorded online focus groups and by investigating the behaviours that are undertaken by participants. A coding system based on body language expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have to look at ways to differentiate these affects from others. Keywords: FOLC; nonverbal communication; facial expressions; body language coding; facilitation; social presence.
This study aims to provide support for the efficacy of the Fully Online Learning Community (FOLC)... more This study aims to provide support for the efficacy of the Fully Online Learning Community (FOLC) Model by examining communication between participants within a series of recorded online focus groups and by investigating the behaviours that are undertaken by participants. A coding system based on body language expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have ...
Project ReportProject Report. Faculty of Education, Ontario Tech University , 2020
This study aims to provide support for the efficacy of the FOLC by examining communication betwee... more This study aims to provide support for the efficacy of the FOLC by examining communication between participants within a series of recorded online focus groups and by investigating the behaviours that are undertaken by participants. A coding system based on body language expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have to look at ways to differentiate these affects from others.
Keywords: FOLC; nonverbal communication; facial expressions; body language coding; facilitation; social presence.
This study aims to provide support for the efficacy of the FOLC by examining communication betwee... more This study aims to provide support for the efficacy of the FOLC by examining communication between participants within a series of recorded online focus groups and by investigating the behaviours that are undertaken by participants. A coding system based on body language expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have to look at ways to differentiate these affects from others.
This study aims to provide support for the efficacy of the FOLC by examining communication betwee... more This study aims to provide support for the efficacy of the FOLC by examining communication between participants within a series of recorded online focus groups and by investigating the behaviours that are undertaken by participants. A coding system based on body language expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have to look at ways to differentiate these affects from others. Keywords: FOLC; nonverbal communication; facial expressions; body language coding; facilitation; social presence.
This study aims to provide support for the efficacy of the Fully Online Learning Community (FOLC)... more This study aims to provide support for the efficacy of the Fully Online Learning Community (FOLC) Model by examining communication between participants within a series of recorded online focus groups and by investigating the behaviours that are undertaken by participants. A coding system based on body language expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have ...
Project ReportProject Report. Faculty of Education, Ontario Tech University , 2020
This study aims to provide support for the efficacy of the FOLC by examining communication betwee... more This study aims to provide support for the efficacy of the FOLC by examining communication between participants within a series of recorded online focus groups and by investigating the behaviours that are undertaken by participants. A coding system based on body language expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have to look at ways to differentiate these affects from others.
Keywords: FOLC; nonverbal communication; facial expressions; body language coding; facilitation; social presence.
This study aims to provide support for the efficacy of the FOLC by examining communication betwee... more This study aims to provide support for the efficacy of the FOLC by examining communication between participants within a series of recorded online focus groups and by investigating the behaviours that are undertaken by participants. A coding system based on body language expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have to look at ways to differentiate these affects from others.
Uploads
Papers by ufuk yagci
expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions
and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have to look at ways to differentiate these affects from others.
Keywords: FOLC; nonverbal communication; facial expressions; body language coding; facilitation; social presence.
expressions is proposed as an outcome of this study and the affective domain of the participants is analyzed through facial expressions, body language and content (words) employed. Findings suggest that affects (emotions) have a preeminent role in the social presence in FOLC environments. Positive emotions are easier to detect as individuals exhibit them without masking, with some possible exceptions arising from personal dispositions and cultural inferences. Negative emotions can also be detected through a combination of facial expressions
and body language coding. However, findings were not consistent for determining sadness and surprise states and further studies will have to look at ways to differentiate these affects from others.
Keywords: FOLC; nonverbal communication; facial expressions; body language coding; facilitation; social presence.