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Self-Efficacy and Learning of Engineering Concepts Through Gamification

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The relationship between video games and education is something that has been studied extensively in academia. Based upon these studies a new concept was created, gamification. Gamification is the next step in video game research to analyze why video games

The relationship between video games and education is something that has been studied extensively in academia. Based upon these studies a new concept was created, gamification. Gamification is the next step in video game research to analyze why video games enhance learning. The interest and research into this concept have developed so much so that it has become its own topic area for research. This study is looking to analyze the effect that gamification has on not only learning, but also self-efficacy. Through a choose your own adventure game, the knowledge and self-efficacy of participants will be examined to observe the differences when learning difficult engineering concepts with and without gamification. It is expected that participants that experienced training through gamification will demonstrate deeper learning and higher self-efficacy than trained through a video. Furthermore, it is anticipated that some video trained participants’ self-efficacy will increase; however, their comprehension will be less than participants trained through gamification. The results of this study can help promote the interest in researching gamification and education, while influencing educators to corporate gamification elements when designing their courses. Moreover, this study continued through adaptation and integration into a statics forces class, investigated if the same results can be found within a classroom setting.

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2020-05

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User Experience Laws in Learning

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The relationship between user experience, learning, and psychology is complex. There are many rules and concepts that guide experience design. It is likely that some of the guidance is valid whereas other guidance is not. This explores some of that

The relationship between user experience, learning, and psychology is complex. There are many rules and concepts that guide experience design. It is likely that some of the guidance is valid whereas other guidance is not. This explores some of that guidance and evaluates how they are linked to learning. Do the guidance’s made 25, 50, 100 years ago still hold true today? Additionally, the psychological background behind the way someone holds memory is important. Knowing how information is stored and processed helps educators provide the best learning experience possible. With an eye toward perception and cognition, this paper examines the relevance of the various pieces of guidance. The results suggest that, overall, this guidance is still valid and valuable to current learning trends and designs. This suggests that user experience designers for education need to pay attention to the guidance provided by psychology when designing learning management systems, placing content in a course, and choosing which aesthetics to follow.

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Agent

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2020-05

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Optimizing Biofeedback and Learning in an EEG-Based Brain-Computer Interface

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Brain-computer interface technology establishes communication between the brain and a computer, allowing users to control devices, machines, or virtual objects using their thoughts. This study investigates optimal conditions to facilitate learning to operate this interface. It compares two biofeedback methods,

Brain-computer interface technology establishes communication between the brain and a computer, allowing users to control devices, machines, or virtual objects using their thoughts. This study investigates optimal conditions to facilitate learning to operate this interface. It compares two biofeedback methods, which dictate the relationship between brain activity and the movement of a virtual ball in a target-hitting task. Preliminary results indicate that a method in which the position of the virtual object directly relates to the amplitude of brain signals is most conducive to success. In addition, this research explores learning in the context of neural signals during training with a BCI task. Specifically, it investigates whether subjects can adapt to parameters of the interface without guidance. This experiment prompts subjects to modulate brain signals spectrally, spatially, and temporally, as well differentially to discriminate between two different targets. However, subjects are not given knowledge regarding these desired changes, nor are they given instruction on how to move the virtual ball. Preliminary analysis of signal trends suggests that some successful participants are able to adapt brain wave activity in certain pre-specified locations and frequency bands over time in order to achieve control. Future studies will further explore these phenomena, and future BCI projects will be advised by these methods, which will give insight into the creation of more intuitive and reliable BCI technology.

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2014-05

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The effect of coloring on retention and transfer in multimedia learning

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The current study investigated the task of coloring static images with multimedia learning to determine the impact on retention and transfer scores. After watching a multimedia video on the formation of lightning participants were assigned to either a passive, active,

The current study investigated the task of coloring static images with multimedia learning to determine the impact on retention and transfer scores. After watching a multimedia video on the formation of lightning participants were assigned to either a passive, active, or constructive condition based on the ICAP Framework. Participants colored static images on key concepts from the video, passive condition observed the images, active condition colored the images by applying the concepts, and the constructive condition colored the images by generating new ideas and concepts. The study did not support the hypothesis that the constructive condition would have increased retention and transfer scores over the active and passive conditions. The mental effort measures did not show significance among groups in relation to learning but perception measures did show an increase in participants enjoyment and engagement. Since the coloring craze has become more accepted for adults then could coloring be a way to increase participants learning through engagement.

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Date Created
2018

The Role of Mediums in Distributed Learning

Description

The advancement of technology has transformed information consumption into an accessible and flexible process. The open learning ecosystem that exists online relies on self-direction. Learners are able to effectively fulfill personal learning goals with preferred content forms, specifically by utilizing

The advancement of technology has transformed information consumption into an accessible and flexible process. The open learning ecosystem that exists online relies on self-direction. Learners are able to effectively fulfill personal learning goals with preferred content forms, specifically by utilizing Massive Open Online Courses (MOOC). It is essential to investigate the role of mediums in distributed learning to initiate human-centric design changes that best support the learner. This study provides insight into how choice influences self-learning and highlights the major engagement difficulties of MOOCs. Significant attrition was experienced while issuing text and audio material to participants for three weeks. Although this prevented valid statistical tests from being run, it was clear that text was the most desirable and effective medium. Students that read exhibited the highest comprehension levels and selected it as their de-facto consumption method even if audio was made available. Since this study involved complex topics, this supported the transient information effect. Future studies should focus deeply on the structure of online courses by implementing personable engagement features that improve overall participation rate.

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Date Created
2019