Matching Items (3)
156508-Thumbnail Image.png
Description
A recorded tutorial dialogue can produce positive learning gains, when observed and used to promote discussion between a pair of learners; however, this same effect does not typically occur when an leaner observes a tutorial dialogue by himself or herself. One potential approach to enhancing learning in the latter situation

A recorded tutorial dialogue can produce positive learning gains, when observed and used to promote discussion between a pair of learners; however, this same effect does not typically occur when an leaner observes a tutorial dialogue by himself or herself. One potential approach to enhancing learning in the latter situation is by incorporating self-explanation prompts, a proven technique for encouraging students to engage in active learning and attend to the material in a meaningful way. This study examined whether learning from observing recorded tutorial dialogues could be made more effective by adding self-explanation prompts in computer-based learning environment. The research questions in this two-experiment study were (a) Do self-explanation prompts help support student learning while watching a recorded dialogue? and (b) Does collaboratively observing (in dyads) a tutorial dialogue with self-explanation prompts help support student learning while watching a recorded dialogue? In Experiment 1, 66 participants were randomly assigned as individuals to a physics lesson (a) with self-explanation prompts (Condition 1) or (b) without self-explanation prompts (Condition 2). In Experiment 2, 20 participants were randomly assigned in 10 pairs to the same physics lesson (a) with self-explanation prompts (Condition 1) or (b) without self-explanation prompts (Condition 2). Pretests and posttests were administered, as well as other surveys that measured motivation and system usability. Although supplemental analyses showed some significant differences among individual scale items or factors, neither primary results for Experiment 1 or Experiment 2 were significant for changes in posttest scores from pretest scores for learning, motivation, or system usability assessments.
ContributorsWright, Kyle Matthew (Author) / Atkinson, Robert K (Thesis advisor) / Savenye, Wilhelmina (Committee member) / Nelson, Brian (Committee member) / Arizona State University (Publisher)
Created2018
164964-Thumbnail Image.png
Description
The present studies experimentally compared the effectiveness of self-explaining versus taking notes for improving comprehension of a difficult science among readers who varied in prior knowledge, reading skill, and later vocabulary skill. Study 1 (N = 70) examined how instructions to simply “note-take” or “self-explain” influenced text-based and inferential

The present studies experimentally compared the effectiveness of self-explaining versus taking notes for improving comprehension of a difficult science among readers who varied in prior knowledge, reading skill, and later vocabulary skill. Study 1 (N = 70) examined how instructions to simply “note-take” or “self-explain” influenced text-based and inferential comprehension. Task did not influence comprehension performance but, as expected, readers with higher science prior knowledge outperformed their less knowledgeable peers, who also earned lower scores on inferential questions compared to text-based questions. To replicate and extend these findings, Study 2 (N = 60) provided readers with more specific, distinct instructions and examples for self-explanation and note-taking tasks prior to engaging in the same task. The results showed that, in the self-explanation task, high-knowledge readers outperformed low-knowledge readers on the text-based questions. These results suggest that self-explanation supported more knowledgeable and skilled readers for text-based questions.
ContributorsGoblirsch, Emily (Author) / McNamara, Danielle (Thesis director) / Butterfuss, Reese (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor) / Department of Psychology (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)
Created2022-05
158816-Thumbnail Image.png
Description
This study examined the effects of different constructed response prompts and text types on students’ revision of misconceptions, comprehension, and causal reasoning. The participants were randomly assigned to prompt (self-explain, think-aloud) and text type (refutational, non-refutational) in a 2x2, between-subjects design. While reading, the students were prompted to write responses

This study examined the effects of different constructed response prompts and text types on students’ revision of misconceptions, comprehension, and causal reasoning. The participants were randomly assigned to prompt (self-explain, think-aloud) and text type (refutational, non-refutational) in a 2x2, between-subjects design. While reading, the students were prompted to write responses at regular intervals in the text. After reading, students were administered the conceptual inventory of natural selection (CINS), for which a higher score indicates fewer misconceptions of natural selection. Finally, students were given text comprehension questions, and reading skill and prior knowledge measures. Linear mixed effects (LME) models showed that students with better reading skill and more prior knowledge had a higher CINS score and better comprehension compared to less skilled students, but there were no effects of text type or prompt. Linguistic analysis of students’ responses demonstrated a relationship of prompt, text, and reading skill on students’ causal reasoning. Less skilled students exhibited greater causal reasoning when self-explaining a non-refutational text compared to less skilled students prompted to think-aloud, and less skilled students who read the refutational text. The results of this study demonstrate a relationship between reading skill and misconceptions in natural selections. Furthermore, the linguistic analyses suggest that less skilled students’ causal reasoning improves when prompted to self-explain.
ContributorsWatanabe, Micah (Author) / McNamara, Danielle S. (Thesis advisor) / Brewer, Gene (Committee member) / Firetto, Carla (Committee member) / Arizona State University (Publisher)
Created2020