Matching Items (5)
Filtering by
- All Subjects: Educational technology
- All Subjects: Computer Science
Description
Multimedia educational technologies have increased their presence in traditional and online classrooms over the course of the previous decade. These tools hold value and can promote positive learning outcomes but are reliant on students’ degree of cognitive engagement and self-regulation. When students are not cognitively engaged or have low self-regulation capabilities, their interaction with the technology becomes less impactful because of decreased learning outcomes. Building or altering technologies to cognitively engage students is costly and timely; the present study investigates if introducing higher agency roles, to change the role of the student, increases learning outcomes. Specifically, this study investigates if higher agency roles of a designer or teacher enhances cognitive engagement and improves learning when compared to the conventional role of a learner. Improved learning outcomes were observed from the pretest to posttest for the learner, designer, and teacher role. Participants engaged with higher agency roles did not demonstrate more growth from pretest to posttest when compared to the control group, but participants in the teacher role outperformed those in the designer role. Additionally, reading ability did not impact learning gains across groups. While students who engaged with higher agency roles did not achieve greater learning outcomes than students in the control group, results indicate a learning effect across groups. Results of this study suggest that it was underpowered. Further research is needed to determine the extent of the impact that higher agency roles have on learning outcomes.
ContributorsNovak, Kyrsten (Author) / Roscoe, Rod (Thesis advisor) / Branaghan, Russell (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2018
Description
Cyber operations are a complex sociotechnical system where humans and computers are operating in an environments in constant flux, as new technology and procedures are applied. Once inside the network, establishing a foothold, or beachhead, malicious actors can collect sensitive information, scan targets, and execute an attack.Increasing defensive capabilities through cyber deception shows great promise by providing an opportunity to delay and disrupt an attacker once network perimeter security has already been breached. Traditional Human Factors research and methods are designed to mitigate human limitations (e.g., mental, physical) to improve performance. These methods can also be used combatively to upend performance. Oppositional Human Factors (OHF), seek to strategically capitalize on cognitive limitations by eliciting decision-making errors and poor usability. Deceptive tactics to elicit decision-making biases might infiltrate attacker processes with uncertainty and make the overall attack economics unfavorable and cause an adversary to make mistakes and waste resources.
Two online experimental platforms were developed to test the Sunk Cost Fallacy in an interactive, gamified, and abstracted version of cyber attacker activities. This work presents the results of the Cypher platform. Offering a novel approach to understand decision-making and the Sunk Cost Fallacy influenced by factors of uncertainty, project completion and difficulty on progress decisions. Results demonstrate these methods are effective in delaying attacker forward progress, while further research is needed to fully understand the context in which decision-making limitations do and do not occur. The second platform, Attack Surface, is described. Limitations and lessons learned are presented for future work.
ContributorsJohnson, Chelsea Kae (Author) / Gutzwiller, Robert S (Thesis advisor) / Cooke, Nancy (Committee member) / Shade, Temmie (Committee member) / Ferguson-Walter, Kimberly (Committee member) / Roscoe, Rod (Committee member) / Gray, Rob (Committee member) / Arizona State University (Publisher)
Created2022
Description
Educational technologies can be great tools for learning. The implementation of learning aids and scaffolds within these technologies often make them effective; however, due to various problems, students may take more passive approaches to learning when using these educational tools. This tends to lead to interactions that impair learning. This study approaches this issue by reexamining the learner’s role when interacting with educational technologies. Specifically, the current study attempts to support learning and perceptions by inviting students to approach a learning task like an interface designer or instructional designer. These roles derive from a previous study on higher agency roles. The results of the current study indicate that participants learned across all conditions, suggesting the assignment of roles may not impair learning. However, learning outcomes did not differ between conditions. Additionally, the interface designer and instructional designer roles were more critical of the sounds and organizations of each video than the learner role. Limitations of the study and future directions are discussed.
ContributorsArnold, Samuel Troy (Author) / Roscoe, Rod (Thesis advisor) / Craig, Scotty (Committee member) / Niemczyk, Mary (Committee member) / Arizona State University (Publisher)
Created2020
Description
The science, technology, engineering, and math (STEM) education community is interested in using virtual reality (VR) to help students learn STEM knowledge. Prior research also provided evidence that VR learning can increase students’ motivation and learning achievement. However, it was not clear whether the effect of VR on learning was partly from sensory novelty and whether the effectiveness was sustainable. This study was to satisfy the concern on the sustainability of VR STEM learning in instruction and address the research gaps in exploring the effect of VR on a STEM learning experience with a consideration of novelty.
The study used a mixed-methods experimental design and involved a three-session VR STEM learning intervention. The quantitative data was collected through the intervention by survey questionnaire, session quiz, and pre- and post-tests, while the interviews were taken after the intervention. The structural equation modeling method was used to explore the relationships among factors in the VR learning experience. Longitudinal quantitative comparisons were conducted with the multiple imputation method. Its purpose was to evaluate the changing magnitude of factors across sessions. After quantitative analysis, interview transcripts were analyzed. They were used to triangulate or provide context for understanding of quantitative results.
The results showed that motivation and engagement play a critical mediation role in an effective VR learning experience. While individuals’ psychological responses and motivation may significantly increase in a VR learning experience for novelty, the novelty effect may not steeply decrease when individuals are becoming familiar with the novelty. This phenomenon is more observable in a VR condition having a high degree of immersion and embodiment. In addition, novelty does not necessarily increase learning achievement. The increase of learning achievement is more dependent on a match between the learning content and the learning method. The embodied learning method is appropriate for instructing difficult knowledge and spatial knowledge. Reserving enough time for reflection is important to deep learning in a VR environment.
The study used a mixed-methods experimental design and involved a three-session VR STEM learning intervention. The quantitative data was collected through the intervention by survey questionnaire, session quiz, and pre- and post-tests, while the interviews were taken after the intervention. The structural equation modeling method was used to explore the relationships among factors in the VR learning experience. Longitudinal quantitative comparisons were conducted with the multiple imputation method. Its purpose was to evaluate the changing magnitude of factors across sessions. After quantitative analysis, interview transcripts were analyzed. They were used to triangulate or provide context for understanding of quantitative results.
The results showed that motivation and engagement play a critical mediation role in an effective VR learning experience. While individuals’ psychological responses and motivation may significantly increase in a VR learning experience for novelty, the novelty effect may not steeply decrease when individuals are becoming familiar with the novelty. This phenomenon is more observable in a VR condition having a high degree of immersion and embodiment. In addition, novelty does not necessarily increase learning achievement. The increase of learning achievement is more dependent on a match between the learning content and the learning method. The embodied learning method is appropriate for instructing difficult knowledge and spatial knowledge. Reserving enough time for reflection is important to deep learning in a VR environment.
ContributorsHuang, Wen (Author) / Roscoe, Rod (Thesis advisor) / Johnson, Mina (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2020
Description
ASU’s Software Engineering (SER) program adequately prepares students for what happens after they become a developer, but there is no standard for preparing students to secure a job post-graduation in the first place. This project creates and executes a supplemental curriculum to prepare students for the technical interview process. The trial run of the curriculum was received positively by study participants, who experienced an increase in confidence over the duration of the workshop.
ContributorsSchmidt, Julia J (Author) / Roscoe, Rod (Thesis director) / Bansal, Srividya (Committee member) / Software Engineering (Contributor) / Human Systems Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05