Matching Items (41)
Description
This dissertation proposes a new set of analytical methods for high dimensional physiological sensors. The methodologies developed in this work were motivated by problems in learning science, but also apply to numerous disciplines where high dimensional signals are present. In the education field, more data is now available from traditional sources and there is an important need for analytical methods to translate this data into improved learning. Affecting Computing which is the study of new techniques that develop systems to recognize and model human emotions is integrating different physiological signals such as electroencephalogram (EEG) and electromyogram (EMG) to detect and model emotions which later can be used to improve these learning systems.
The first contribution proposes an event-crossover (ECO) methodology to analyze performance in learning environments. The methodology is relevant to studies where it is desired to evaluate the relationships between sentinel events in a learning environment and a physiological measurement which is provided in real time.
The second contribution introduces analytical methods to study relationships between multi-dimensional physiological signals and sentinel events in a learning environment. The methodology proposed learns physiological patterns in the form of node activations near time of events using different statistical techniques.
The third contribution addresses the challenge of performance prediction from physiological signals. Features from the sensors which could be computed early in the learning activity were developed for input to a machine learning model. The objective is to predict success or failure of the student in the learning environment early in the activity. EEG was used as the physiological signal to train a pattern recognition algorithm in order to derive meta affective states.
The last contribution introduced a methodology to predict a learner's performance using Bayes Belief Networks (BBNs). Posterior probabilities of latent nodes were used as inputs to a predictive model in real-time as evidence was accumulated in the BBN.
The methodology was applied to data streams from a video game and from a Damage Control Simulator which were used to predict and quantify performance. The proposed methods provide cognitive scientists with new tools to analyze subjects in learning environments.
The first contribution proposes an event-crossover (ECO) methodology to analyze performance in learning environments. The methodology is relevant to studies where it is desired to evaluate the relationships between sentinel events in a learning environment and a physiological measurement which is provided in real time.
The second contribution introduces analytical methods to study relationships between multi-dimensional physiological signals and sentinel events in a learning environment. The methodology proposed learns physiological patterns in the form of node activations near time of events using different statistical techniques.
The third contribution addresses the challenge of performance prediction from physiological signals. Features from the sensors which could be computed early in the learning activity were developed for input to a machine learning model. The objective is to predict success or failure of the student in the learning environment early in the activity. EEG was used as the physiological signal to train a pattern recognition algorithm in order to derive meta affective states.
The last contribution introduced a methodology to predict a learner's performance using Bayes Belief Networks (BBNs). Posterior probabilities of latent nodes were used as inputs to a predictive model in real-time as evidence was accumulated in the BBN.
The methodology was applied to data streams from a video game and from a Damage Control Simulator which were used to predict and quantify performance. The proposed methods provide cognitive scientists with new tools to analyze subjects in learning environments.
ContributorsLujan Moreno, Gustavo A. (Author) / Runger, George C. (Thesis advisor) / Atkinson, Robert K (Thesis advisor) / Montgomery, Douglas C. (Committee member) / Villalobos, Rene (Committee member) / Arizona State University (Publisher)
Created2017
Description
This study investigated the effects of distributed presentation microlearning and the testing effect on mobile devices and student attitudes about the use of mobile devices for learning in higher education. For this study, a mobile device is considered a smartphone. All communication, content, and testing were completed remotely through participants’ mobile devices.
The study consisted of four conditions: (a) an attitudinal and demographic pre-survey, (b) five mobile instructional modules, (c) mobile quizzes, and (d) an attitudinal post-survey. A total of 311 participants in higher education were enrolled in the study. One hundred thirty-seven participants completed all four conditions of the study. Participants were randomly assigned to experimental conditions in a 2 x 2 factorial design. The levels of the first factor, distribution of instructional content, were: once-per-day and once-per-week. The levels of the second factor, testing, were: a quiz after each module plus a comprehensive quiz and a single comprehensive quiz after all instruction. The dependent variable was learning outcomes in the form of quiz-score results. Attitudinal survey results were analyzed using Principal Axis Factoring to reveal three components, (a) student perceptions about the use of mobile devices in education,
(b) student perceptions about instructors’ beliefs for mobile devices for learning, and (c) student perceptions about the use of mobile devices post-instruction.
The results revealed several findings. There was no significant effect for type of delivery of instruction in a one-way ANOVA. There was a significant effect for testing in a one-way ANOVA There were no main effects of delivery and testing in a 2 x 2 factorial design and there was no main interaction effect, and there was a significant effect of testing on final quiz scores controlling for technical beliefs in a 2 x 2 ANCOVA. The significant difference in testing was contradictory to some literature.
Ownership of personal mobile devices in persons aged 18–29 is practically all-inclusive. Thus, future research on student attitudes and the implementation of personal smartphones for microlearning and testing is still needed to develop and integrate mobile-ready content for higher education.
The study consisted of four conditions: (a) an attitudinal and demographic pre-survey, (b) five mobile instructional modules, (c) mobile quizzes, and (d) an attitudinal post-survey. A total of 311 participants in higher education were enrolled in the study. One hundred thirty-seven participants completed all four conditions of the study. Participants were randomly assigned to experimental conditions in a 2 x 2 factorial design. The levels of the first factor, distribution of instructional content, were: once-per-day and once-per-week. The levels of the second factor, testing, were: a quiz after each module plus a comprehensive quiz and a single comprehensive quiz after all instruction. The dependent variable was learning outcomes in the form of quiz-score results. Attitudinal survey results were analyzed using Principal Axis Factoring to reveal three components, (a) student perceptions about the use of mobile devices in education,
(b) student perceptions about instructors’ beliefs for mobile devices for learning, and (c) student perceptions about the use of mobile devices post-instruction.
The results revealed several findings. There was no significant effect for type of delivery of instruction in a one-way ANOVA. There was a significant effect for testing in a one-way ANOVA There were no main effects of delivery and testing in a 2 x 2 factorial design and there was no main interaction effect, and there was a significant effect of testing on final quiz scores controlling for technical beliefs in a 2 x 2 ANCOVA. The significant difference in testing was contradictory to some literature.
Ownership of personal mobile devices in persons aged 18–29 is practically all-inclusive. Thus, future research on student attitudes and the implementation of personal smartphones for microlearning and testing is still needed to develop and integrate mobile-ready content for higher education.
ContributorsRettger, Elaine (Author) / Bitter, Gary (Thesis advisor) / Legacy, Jane (Committee member) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2017
Description
Training for law enforcement on effective ways of intervening in mental health crises is limited. What is available tends to be costly for implementation, labor-intensive, and requires officers to opt-in. DEFUSE, an interactive online training program, was specifically developed to train law enforcement on mental illness and de-escalation skills. Derived from a stress inoculation framework, the curriculum provides education, skills training, and rehearsal; it is brief, cost-effective, and scalable to officers across the country. Participants were randomly assigned to either the experimental or delayed treatment control conditions. A multivariate analysis of variance yielded a significant treatment-by-repeated-measures interaction and univariate analyses confirmed improvement on all of the measures (e.g., empathy, stigma, self-efficacy, behavioral outcomes, knowledge). Replication dependent t-test analyses conducted on the control condition following completion of DEFUSE confirmed significant improvement on four of the measures and marginal significance on the fifth. Participant responses to BPAD video vignettes revealed significant differences in objective behavioral proficiency for those participants who completed the online course. DEFUSE is a powerful tool for training law enforcement on mental illness and effective strategies for intervening in mental health crises. Considerations for future study are discussed.
ContributorsHacker, Robyn Lea (Author) / Horan, John J (Thesis advisor) / Homer, Judith (Committee member) / Atkinson, Robert K (Committee member) / Arizona State University (Publisher)
Created2017
Description
The present study explored the use of augmented reality (AR) technology to support cognitive modeling in an art-based learning environment. The AR application used in this study made visible the thought processes and observational techniques of art experts for the learning benefit of novices through digital annotations, overlays, and side-by-side comparisons that when viewed on mobile device appear directly on works of art.
Using a 2 x 3 factorial design, this study compared learner outcomes and motivation across technologies (audio-only, video, AR) and groupings (individuals, dyads) with 182 undergraduate and graduate students who were self-identified art novices. Learner outcomes were measured by post-activity spoken responses to a painting reproduction with the pre-activity response as a moderating variable. Motivation was measured by the sum score of a reduced version of the Instructional Materials Motivational Survey (IMMS), accounting for attention, relevance, confidence, and satisfaction, with total time spent in learning activity as the moderating variable. Information on participant demographics, technology usage, and art experience was also collected.
Participants were randomly assigned to one of six conditions that differed by technology and grouping before completing a learning activity where they viewed four high-resolution, printed-to-scale painting reproductions in a gallery-like setting while listening to audio-recorded conversations of two experts discussing the actual paintings. All participants listened to expert conversations but the video and AR conditions received visual supports via mobile device.
Though no main effects were found for technology or groupings, findings did include statistically significant higher learner outcomes in the elements of design subscale (characteristics most represented by the visual supports of the AR application) than the audio-only conditions. When participants saw digital representations of line, shape, and color directly on the paintings, they were more likely to identify those same features in the post-activity painting. Seeing what the experts see, in a situated environment, resulted in evidence that participants began to view paintings in a manner similar to the experts. This is evidence of the value of the temporal and spatial contiguity afforded by AR in cognitive modeling learning environments.
Using a 2 x 3 factorial design, this study compared learner outcomes and motivation across technologies (audio-only, video, AR) and groupings (individuals, dyads) with 182 undergraduate and graduate students who were self-identified art novices. Learner outcomes were measured by post-activity spoken responses to a painting reproduction with the pre-activity response as a moderating variable. Motivation was measured by the sum score of a reduced version of the Instructional Materials Motivational Survey (IMMS), accounting for attention, relevance, confidence, and satisfaction, with total time spent in learning activity as the moderating variable. Information on participant demographics, technology usage, and art experience was also collected.
Participants were randomly assigned to one of six conditions that differed by technology and grouping before completing a learning activity where they viewed four high-resolution, printed-to-scale painting reproductions in a gallery-like setting while listening to audio-recorded conversations of two experts discussing the actual paintings. All participants listened to expert conversations but the video and AR conditions received visual supports via mobile device.
Though no main effects were found for technology or groupings, findings did include statistically significant higher learner outcomes in the elements of design subscale (characteristics most represented by the visual supports of the AR application) than the audio-only conditions. When participants saw digital representations of line, shape, and color directly on the paintings, they were more likely to identify those same features in the post-activity painting. Seeing what the experts see, in a situated environment, resulted in evidence that participants began to view paintings in a manner similar to the experts. This is evidence of the value of the temporal and spatial contiguity afforded by AR in cognitive modeling learning environments.
ContributorsShapera, Daniel Michael (Author) / Atkinson, Robert K (Thesis advisor) / Nelson, Brian C (Committee member) / Erickson, Mary (Committee member) / Arizona State University (Publisher)
Created2016
Description
The gameplay experience can be understood as an interaction between player and game design characteristics. A greater understanding of these characteristics can be gained through empirical means. Subsequently, an enhanced knowledge of these characteristics should enable the creation of games that effectively generate desirable experiences for players. The purpose of this study was to investigate the relationships between gameplay enjoyment and the individual characteristics of gaming goal orientations, game usage, and gender. A total of 301 participants were surveyed and the data were analyzed using Structural Equation Modeling (SEM). This led to an expanded Gameplay Enjoyment Model (GEM) with 41 game features, an overarching Enjoyment factor, and 9 specific components, including Challenge, Companionship, Discovery, Fantasy, Fidelity, Identity, Multiplayer, Recognition, and Strategy. Furthermore, the 3x2 educational goal orientation framework was successfully applied to a gaming context. The resulting 3x2 Gaming Goal Orientations (GGO) model consists of 18 statements that describe players' motivations for gaming, which are distributed across the six dimensions of Task-Approach, Task-Avoidance, Self-Approach, Self-Avoidance, Other-Approach, and Other-Avoidance. Lastly, players' individual characteristics were used to predict gameplay enjoyment, which resulted in the formation of the GEM-Individual Characteristics (GEM-IC) model. In GEM-IC, the six GGO dimensions were the strongest predictors. Meanwhile, game usage variables like multiplayer, genre, and platform preference, were minimal to moderate predictors. Although commonly appearing in games research, gender and game time commitment variables failed to predict enjoyment. The results of this study enable important work to be conducted involving game experiences and player characteristics. After several empirical iterations, GEM is considered suitable to employ as a research and design tool. In addition, GGO should be useful to researchers interested in how player motivations relate to gameplay experiences. Moreover, GEM-IC points to several variables that may prove useful in future research. Accordingly, it is posited that researchers will derive more meaningful insights on games and players by investigating detailed, context-specific characteristics as compared to general, demographic ones. Ultimately, it is believed that GEM, GGO, and GEM-IC will be useful tools for researchers and designers who seek to create effective gameplay experiences that meet the needs of players.
ContributorsQuick, John (Author) / Atkinson, Robert (Thesis advisor) / McNamara, Danielle (Committee member) / Nelson, Brian (Committee member) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of this research was to introduce unsaturated soil mechanics to the undergraduate geotechnical engineering course in a concise and easy to understand manner. Also, it was essential to develop unsaturated soil mechanics teaching material that merges smoothly into current undergraduate curriculum and with sufficient flexibility for broad adaptation by faculty. The learning material consists of three lecture modules and a laboratory module. The lecture modules introduced soil mechanics for the general 3-phase medium condition with the saturated soil as a special case. The three lecture modules that were developed are (1) the stress state variables for unsaturated soils, (2) soil-water characteristic curves, and (3) axis translation. A PowerPoint presentation was created to present each module in an easy to understand manner so that the students will enjoy the learning material. Along with the lecture modules, a laboratory module was developed that reinforced the key aspects and concepts for unsaturated soil behavior. A laboratory manual was created for the Tempe Pressure Cell and Fredlund SWC-150 device (one-dimensional oedometer pressure plate device) in order to give the instructor and institution a choice of which testing equipment best fits their program. Along with the laboratory manuals, an analysis guide was created to help students with constructing SWCCs from their laboratory. A soil type recommendation was also researched for use in the laboratory module. The soil ensured acceptably short equilibrium times along with a wide range or suction values controllable by both testing equipment (Tempe Pressure Cell and Fredlund SWC-150). A silt type soil material was recommended for the laboratory module. As a part of this research, a smooth transition from unsaturated to saturated condition was demonstrated through laboratory volume change experiments using a silt soil tested in an oedometer-type pressure plate device. Three different experiments were conducted: (1) volume change for unsaturated soils in response to suction and net normal stress change, (2) volume change for saturated soils in response to effective stress change, as determined using unsaturated soils testing equipment, and (3) traditional consolidation tests on saturated soil using a conventional consolidometer device.
ContributorsRamirez, Eddy F (Author) / Houston, Sandra (Thesis advisor) / Zapata, Claudia (Thesis advisor) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of this study was to investigate the use of the design characteristics component of the Jeffries/National League for Nursing Framework for Designing, Implementing, and Evaluating Simulations when developing a simulation-based approach to teaching structured communication to new graduate nurses. The setting for the study was a medium sized tertiary care hospital located in the southwestern United States. Participants in the study were an instructional designer (who also served as the researcher), two graduate nursing education specialists, one unit based educator, and 27 new graduate nurses and registered nurses who had been in practice for less than six months. Design and development research was employed to examine the processes used to design the simulation, implementation of the simulation by faculty, and course evaluation data from both students and faculty. Data collected from the designer, faculty and student participants were analyzed for evidence on how the design characteristics informed the design and implementation of the course, student achievement of course goals, as well as student and faculty evaluation of the course. These data were used to identify the strengths and weaknesses of the model in this context as well as suggestions for strengthening the model. Findings revealed that the model generally functioned well in this context. Particular strengths of the model were its emphasis on problem-solving and recommendations for attending to fidelity of clinical scenarios. Weaknesses of the model were inadequate guidance for designing student preparation, student support, and debriefing. Additionally, the model does not address the role of observers or others who are not assigned the role of primary nurse during simulations. Recommendations for strengthening the model include addressing these weaknesses by incorporating existing evidence in the instructional design of experiential learning and by scaffolding students during problem-solving. The results of the study also suggested interrelationships among the design characteristics that were not previously described; further exploration of this finding may strengthen the model. Faculty and instructional designers creating clinical simulations in this context would benefit from using the Jeffries/National League for Nursing Model, adding external resources to supplement in areas where the model does not currently provide adequate guidance.
ContributorsWilson, Rebecca D (Author) / Klein, James D. (Thesis advisor) / Hagler, Debra (Committee member) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2011
Description
The purpose of this experimental study was to investigate the effects of textual and visual annotations on Spanish listening comprehension and vocabulary acquisition in the context of an online multimedia listening activity. 95 students who were enrolled in different sections of first year Spanish classes at a community college and a large southwestern university were randomly assigned to one of four versions of an online multimedia listening activity that contained textual and visual annotations of several key words. Students then took a comprehension and vocabulary posttest and a survey to measure cognitive load and general attitudes towards the program. Results indicated that textual annotations had a significant positive effect on listening comprehension and that visual annotations had a significant positive effect on how successful students felt. No statistically significant differences were found for other variables. Participants also reported positive attitudes towards vocabulary annotations and expressed a desire to see more annotations during multimedia listening activities of this type. These findings provide further evidence of the impact that multimedia may have on language acquisition. These findings have implications for multimedia design and for future research. Language listening activities should include a variety of vocabulary annotations that may help students to understand what they hear and to help them learn new vocabulary. Further research is needed outside of the laboratory, in the online and increasingly-mobile language learning environment in order to align the research with the environment in which many students currently study. The incorporation of motivation into multimedia learning theory and cognitive load should be explored, as well as new measures of cognitive load.
ContributorsCottam, Michael Evan (Author) / Savenye, Wilhelmina (Thesis advisor) / Klein, James D. (Committee member) / Atkinson, Robert (Committee member) / Arizona State University (Publisher)
Created2010
Description
Social media platforms have emerged as leading communication channels for social interaction and information sharing in the early part of the 21st century. In an ideal world, social media users should feel that they can interpret the social interactions they witness and the information that is shared on social media platforms as inherently honest and truthful; however, reality is very different. Social media platforms have become vehicles capable of spreading misinformation quickly and broadly. Information literacy offers a pathway for mitigating the negative consequences of misinformation found within various forms of content provided that instruction is contextually defined and applicable to the current information environment. A cognitive framework was used to help facilitate greater efficiency of learning information literacy practices.
The purpose of this study was to investigate the relationships between cognitive engagement and learning performance on an instructional module about misinformation on social media. A total of 133 undergraduate students participated in the study. They were surveyed for demographic characteristics, social media activity, and self-efficacy before being randomly assigned to one of four instructional conditions (passive, active, constructive, control). Additional measures included a pre-test, post-test and an instrument measuring users’ satisfaction with their instructional experience.
The study produced several statistically significant differences: (a) in the ability of demographic factors encompassing age, gender and years in college to predict the prior knowledge of misinformation on social media; (b) between the means of the three treatment and one control groups and their scores on the post-test assessment controlling for prior knowledge; and (c) between the means of the three treatment and one control groups and time necessary to complete instruction. Using a regression analysis, no significant differences were found with respect to information-focused self-efficacy factors being able to predict prior knowledge of misinformation on social media. The findings from this study can contribute to the basis of support for the use of the Interactive, Constructive, Active, Passive (ICAP) framework in assessing the use of cognitive engagement in designing instruction.
The purpose of this study was to investigate the relationships between cognitive engagement and learning performance on an instructional module about misinformation on social media. A total of 133 undergraduate students participated in the study. They were surveyed for demographic characteristics, social media activity, and self-efficacy before being randomly assigned to one of four instructional conditions (passive, active, constructive, control). Additional measures included a pre-test, post-test and an instrument measuring users’ satisfaction with their instructional experience.
The study produced several statistically significant differences: (a) in the ability of demographic factors encompassing age, gender and years in college to predict the prior knowledge of misinformation on social media; (b) between the means of the three treatment and one control groups and their scores on the post-test assessment controlling for prior knowledge; and (c) between the means of the three treatment and one control groups and time necessary to complete instruction. Using a regression analysis, no significant differences were found with respect to information-focused self-efficacy factors being able to predict prior knowledge of misinformation on social media. The findings from this study can contribute to the basis of support for the use of the Interactive, Constructive, Active, Passive (ICAP) framework in assessing the use of cognitive engagement in designing instruction.
ContributorsMartinez, Tome Raymond (Author) / Atkinson, Robert (Thesis advisor) / Zuiker, Steven (Thesis advisor) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2019
Description
Evidence suggests that Augmented Reality (AR) may be a powerful tool for
alleviating certain, lightly held scientific misconceptions. However, many
misconceptions surrounding the theory of evolution are deeply held and resistant to
change. This study examines whether AR can serve as an effective tool for alleviating
these misconceptions by comparing the change in the number of misconceptions
expressed by users of a tablet-based version of a well-established classroom simulation to
the change in the number of misconceptions expressed by users of AR versions of the
simulation.
The use of realistic representations of objects is common for many AR
developers. However, this contradicts well-tested practices of multimedia design that
argue against the addition of unnecessary elements. This study also compared the use of
representational visualizations in AR, in this case, models of ladybug beetles, to symbolic
representations, in this case, colored circles.
To address both research questions, a one-factor, between-subjects experiment
was conducted with 189 participants randomly assigned to one of three conditions: non
AR, symbolic AR, and representational AR. Measures of change in the number and types
of misconceptions expressed, motivation, and time on task were examined using a pair of
planned orthogonal contrasts designed to test the study’s two research questions.
Participants in the AR-based condition showed a significantly smaller change in
the number of total misconceptions expressed after the treatment as well as in the number
of misconceptions related to intentionality; none of the other misconceptions examined
showed a significant difference. No significant differences were found in the total
number of misconceptions expressed between participants in the representative and
symbolic AR-based conditions, or on motivation. Contrary to the expectation that the
simulation would alleviate misconceptions, the average change in the number of
misconceptions expressed by participants increased. This is theorized to be due to the
juxtaposition of virtual and real-world entities resulting in a reduction in assumed
intentionality.
alleviating certain, lightly held scientific misconceptions. However, many
misconceptions surrounding the theory of evolution are deeply held and resistant to
change. This study examines whether AR can serve as an effective tool for alleviating
these misconceptions by comparing the change in the number of misconceptions
expressed by users of a tablet-based version of a well-established classroom simulation to
the change in the number of misconceptions expressed by users of AR versions of the
simulation.
The use of realistic representations of objects is common for many AR
developers. However, this contradicts well-tested practices of multimedia design that
argue against the addition of unnecessary elements. This study also compared the use of
representational visualizations in AR, in this case, models of ladybug beetles, to symbolic
representations, in this case, colored circles.
To address both research questions, a one-factor, between-subjects experiment
was conducted with 189 participants randomly assigned to one of three conditions: non
AR, symbolic AR, and representational AR. Measures of change in the number and types
of misconceptions expressed, motivation, and time on task were examined using a pair of
planned orthogonal contrasts designed to test the study’s two research questions.
Participants in the AR-based condition showed a significantly smaller change in
the number of total misconceptions expressed after the treatment as well as in the number
of misconceptions related to intentionality; none of the other misconceptions examined
showed a significant difference. No significant differences were found in the total
number of misconceptions expressed between participants in the representative and
symbolic AR-based conditions, or on motivation. Contrary to the expectation that the
simulation would alleviate misconceptions, the average change in the number of
misconceptions expressed by participants increased. This is theorized to be due to the
juxtaposition of virtual and real-world entities resulting in a reduction in assumed
intentionality.
ContributorsHenry, Matthew McClellan (Author) / Atkinson, Robert K (Thesis advisor) / Johnson-Glenberg, Mina C (Committee member) / Nelson, Brian C (Committee member) / Arizona State University (Publisher)
Created2019