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- All Subjects: Educational Psychology
- Creators: McNamara, Danielle S.
Description
This study examines the effects of providing persuasive writing and reading comprehension strategy training on source-based essay writing. Strategy training was administered through the use of the Writing Pal and the Interactive Strategy Trainer for Active Reading and Thinking (iSTART). The impact of both individual (writing or reading) and blended strategy training on source-based writing was investigated. A total of 261 participants completed the study; after removing incomplete and second language participants the source-based writing and system performance was assessed for 175 participants (n no instruction = 48, n iSTART =41, n Writing Pal =41, n blended =45).
Results indicated that participants who received blended strategy training produced higher quality source-based essays than participants who received only reading comprehension, writing strategy training, or no training. Furthermore, participants who received only reading comprehension or writing strategy training did not produce higher quality source-based essays than participants in the no-training control group. Time on task was investigated as a potential explanation for the results. Neither total time on task nor practice time were predictive of group differences on source-based essay scores. Analyses further suggested that the impact of strategy training does not differ as a function of prior abilities; however, training does seem to impact the relation between prior abilities and source-based essay scores. Specifically, prior writing ability was unrelated to performance for those who received writing training (i.e., Writing Pal and blended conditions), and prior reading ability was unrelated to performance for those received the full dosage of iSTART training. Overall, the findings suggest that when taught in conjunction with one another, reading comprehension and writing strategy training transfers to source-based writing, providing a positive impact on score. Potential changes to the Writing Pal and iSTART to more closely align training with source-based writing are discussed as methods of further increasing the impact of training on source-based writing.
Results indicated that participants who received blended strategy training produced higher quality source-based essays than participants who received only reading comprehension, writing strategy training, or no training. Furthermore, participants who received only reading comprehension or writing strategy training did not produce higher quality source-based essays than participants in the no-training control group. Time on task was investigated as a potential explanation for the results. Neither total time on task nor practice time were predictive of group differences on source-based essay scores. Analyses further suggested that the impact of strategy training does not differ as a function of prior abilities; however, training does seem to impact the relation between prior abilities and source-based essay scores. Specifically, prior writing ability was unrelated to performance for those who received writing training (i.e., Writing Pal and blended conditions), and prior reading ability was unrelated to performance for those received the full dosage of iSTART training. Overall, the findings suggest that when taught in conjunction with one another, reading comprehension and writing strategy training transfers to source-based writing, providing a positive impact on score. Potential changes to the Writing Pal and iSTART to more closely align training with source-based writing are discussed as methods of further increasing the impact of training on source-based writing.
ContributorsWeston Jennifer L (Author) / McNamara, Danielle S. (Thesis advisor) / Connor, Carol M (Committee member) / Glenberg, Arthur M. (Committee member) / Graham, Steve (Committee member) / Arizona State University (Publisher)
Created2015
Description
Computer-based environments provide a window into the complex and multifaceted learning process. These systems often collect a vast amount of information concerning how users choose to engage and behave within the interface (i.e., click streams, language input, and choices). Researchers have begun to use this information to gain a deeper understanding of users’ cognition, attitudes, and abilities. This dissertation is comprised of two published articles that describe how post-hoc and real-time analyses of trace data provides fine-grained details about how users regulate, process, and approach various learning tasks within computer-based environments. This work aims to go beyond simply understanding users’ skills and abilities, and instead focuses on understanding how users approach various tasks and subsequently using this information in real-time to enhance and personalize the user’s learning experience.
ContributorsSnow, Erica L (Author) / McNamara, Danielle S. (Thesis advisor) / Connor, Carol (Committee member) / Winne, Phillip (Committee member) / Duran, Nicholas (Committee member) / Arizona State University (Publisher)
Created2015
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 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
Description
Past research on knowledge has differentiated between dimensions of knowledge, for example amount or coherence. This dissertation introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on hierarchies of human needs (e.g., physical safety, status/esteem, actualization, reproduction). The effects of MUK are tested in a set of four studies on the topic of houselessness. All four studies used the same dataset. Adults in the United States (N = 190) were recruited from an online survey platform and paid for participation. They were first asked about their conceptions of houselessness. Next, they read a set of four texts arguing different views of houselessness, and administered a comprehension test, an emotion while reading test, and asked if the text conflicted with their beliefs. They were then reassessed on their conceptions and administered the MUK scale. Finally, they were given a demographics questionnaire, including questions about their personal experience with houselessness, and were administered a general prior knowledge test and a vocabulary knowledge test. Study 1 examined MUK as a construct and assessed the factor structure of the scale. The analyses showed that the subscales of MUK loaded onto a single factor – overall value of houselessness knowledge. Study 2 situated MUK within the domain of conceptual change. The results demonstrated that participants’ conceptions of houselessness were related to MUK, and that their propensity to engage in conceptual change depended on MUK. Study 3 situated MUK within the domain of text comprehension research and demonstrated that the text-belief consistency effect is enhanced when participants have high MUK. Finally, Study 4 examined MUK as a mediator between conceptions and comprehension and examined the role of MUK in predicting negative emotions. Overall, the findings suggest that MUK plays a role in conceptual change and text comprehension such that participants with high MUK are less likely to revise their knowledge and have worse comprehension when the text conflicts with their beliefs. In addition, MUK may predict emotions while reading about controversial topics, as participants with high MUK were more likely to report negative emotions while reading.
ContributorsWatanabe, Micah (Author) / McNamara, Danielle S. (Thesis advisor) / Brewer, Gene (Committee member) / Firetto, Carla (Committee member) / Roscoe, Rod (Committee member) / Arizona State University (Publisher)
Created2023