Academic Journal
Statistical Discourse Analysis: A Method for Modelling Online Discussion Processes
العنوان: | Statistical Discourse Analysis: A Method for Modelling Online Discussion Processes |
---|---|
اللغة: | English |
المؤلفون: | Chiu, Ming Ming, Fujita, Nobuko |
المصدر: | Journal of Learning Analytics. 2014 1(3):61-83. |
الاتاحة: | Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/ |
Peer Reviewed: | Y |
Page Count: | 23 |
تاريخ النشر: | 2014 |
نوع الوثيقة: | Journal Articles Reports - Research |
Education Level: | Higher Education Postsecondary Education |
Descriptors: | Computer Mediated Communication, Data Collection, Data Analysis, Discourse Analysis, Statistical Analysis, Asynchronous Communication, Online Courses, Educational Technology, Individual Characteristics, Content Analysis, Gender Differences, College Students, Technology Uses in Education, Scaffolding (Teaching Technique), Metacognition, Hypothesis Testing, Markov Processes, Monte Carlo Methods |
تدمد: | 1929-7750 |
مستخلص: | Online forums (synchronous and asynchronous) offer exciting data opportunities to analyze how people influence one another through their interactions. However, researchers must address several analytic difficulties involving the data (missing values, nested structure [messages within topics], non-sequential messages), outcome variables (discrete outcomes, rare instances, multiple outcome variables, similarities among nearby messages), and explanatory variables (sequences of explanatory variables, indirect mediation effects, false positives, and robustness of results). We explicate a method that addresses these difficulties (Statistical Discourse Analysis or SDA) and illustrate it on 1,330 asynchronous messages written and self-coded by 17 students during a 13-week online educational technology course. Both individual characteristics and message attributes were linked to participants' online messages. Men wrote more messages about their theories than women did. Moreover, some sequences of messages were more likely to precede other messages. For example, opinions were often followed by elaborations, which were often followed by theorizing. |
Abstractor: | As Provided |
Number of References: | 55 |
Entry Date: | 2017 |
رقم الانضمام: | EJ1127065 |
قاعدة البيانات: | ERIC |
تدمد: | 1929-7750 |
---|