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School and educational psychologists have a shared imperative to understand the complex inter-play of a student’s home life and perceived self-efficacy. Self-efficacy is the central facet of Bandura’s social cognitive theory (SCT, 1986, 1997). The current study improved upon the extant literature by exploring how home life in Arizona, Arkansas,

School and educational psychologists have a shared imperative to understand the complex inter-play of a student’s home life and perceived self-efficacy. Self-efficacy is the central facet of Bandura’s social cognitive theory (SCT, 1986, 1997). The current study improved upon the extant literature by exploring how home life in Arizona, Arkansas, California, and Oklahoma impacts the self-efficacy for self-regulated learning of mid-to-late adolescents. Although it is difficult to identify how specific aspects of life (including home life) matter for particular areas of functioning, the present study explored self-efficacy for self-regulated learning through the lens of three scales of the Late Adolescence version of the Home Observation for Measurement of the Environment Inventory (LA-HOME) (Caldwell & Bradley, 2016). The LA-HOME documents actions, objects, events and conditions connected with the home environment of children ages 16 to 20, who are still residing at home with parents or guardians (Caldwell & Bradley, 2016). This paper addresses the following research question: How are various aspects of the home life of mid-to-late adolescents, namely (1) modeling and encouragement of maturity, (2) family companionship and investment in adolescent, and (3) warmth, acceptance, and responsiveness, associated with self-efficacy for self-regulated learning? The sample of 333 adolescents is quite diverse demographically; it includes variations in family composition, race/ethnicity, household SES, language spoken in the home, and geography (rural, urban, suburban). The study utilizes a sub-sample of adolescents from the larger study who were 15 to 19 years of age (N = 333). Descriptive statistics, means, and standard deviations are reported for continuous variables, frequencies are reported for categorical variables, and correlations are presented. A hierarchical regression model was estimated in two steps. The first step included the complete set of control variables (household income, ethnicity, gender, and adolescent general health and depressive symptoms), and the second step included the set of three home life indicators. The hierarchical regression model had good fit. Study assets and limitations, as well as alternate theories for consideration and directions for future research, are discussed.
ContributorsGreen, Shannon Noelle (Author) / Bradley, Robert H (Thesis advisor) / Abry, Tashia (Committee member) / Bryce, Crystal I (Committee member) / Arizona State University (Publisher)
Created2018
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Description
This research aimed to analyze and ultimately understand the relationship between the four dimensions of the Technology Readiness Index (TRI) 2.0 (optimism, innovation, discomfort, and insecurity) when compared to self-efficacy and learning. The experiment design was a one-group pretest-posttest where a participant’s TRI 2.0 acted as a subject variable. This

This research aimed to analyze and ultimately understand the relationship between the four dimensions of the Technology Readiness Index (TRI) 2.0 (optimism, innovation, discomfort, and insecurity) when compared to self-efficacy and learning. The experiment design was a one-group pretest-posttest where a participant’s TRI 2.0 acted as a subject variable. This information was then correlated to changes in self-efficacy and content mastery (learning) from pre-/post-test scores pertaining to Google Sheets functions for introductory statistics. In-between the pre- and post-tests, a learning activity was presented which asked participants to analyze quantitative statistics using Google Sheets. Findings of this research demonstrated a statistically insignificant relationship between technology readiness and self-efficacy or learning. Alternatively, significance was observed in changes from pre- to post-test scores for both learning and self-efficacy where a relationship was found between the degree to which participants’ content mastery and self-efficacy change before and after a computer-supported learning activity is assigned. These findings directly contribute to current understanding of how and why individuals can effectively learn and perform in computer-supported learning environments.
ContributorsCervantes Villa, Sabrina Marie (Author) / Craig, Scotty D. (Thesis advisor) / Donner, Jodie (Committee member) / Roscoe, Rod (Committee member) / Wylie, Ruth (Committee member) / Arizona State University (Publisher)
Created2022