Academic Journal

Statistical Discourse Analysis: A Method for Modelling Online Discussion Processes

التفاصيل البيبلوغرافية
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