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Analyzing the Effect of an ‘Open Learner Model’ Represented Through a Feedback System in a Teachable Agent SystemJanuary 2016 (has links)
abstract: For this master's thesis, an open learner model is integrated with Quinn, a teachable robotic agent developed at Arizona State University. This system is represented as a feedback system, which aims to improve a student’s understanding of a subject. It also helps to understand the effect of the learner model when it is represented by performance of the teachable agent. The feedback system represents performance of the teachable agent, and not of a student. Data in the feedback system is thus updated according to a student's understanding of the subject. This provides students an opportunity to enhance their understanding of a subject by analyzing their performance. To test the effectiveness of the feedback system, student understanding in two different conditions is analyzed. In the first condition a feedback report is not provided to the students, while in the second condition the feedback report is provided in the form of the agent’s performance. / Dissertation/Thesis / Masters Thesis Computer Science 2016
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Enhancing the Affordances of a Tangible Learning Environment through Prompts Delivered through a Teachable Robotic AgentJanuary 2014 (has links)
abstract: For this master's thesis, a unique set of cognitive prompts, designed to be delivered through a teachable robotic agent, were developed for students using Tangible Activities for Geometry (TAG), a tangible learning environment developed at Arizona State University. The purpose of these prompts is to enhance the affordances of the tangible learning environment and help researchers to better understand how we can design tangible learning environments to best support student learning. Specifically, the prompts explicitly encourage users to make use of their physical environment by asking students to perform a number of gestures and behaviors while prompting students about domain-specific knowledge. To test the effectiveness of these prompts that combine elements of cognition and physical movements, the performance and behavior of students who encounter these prompts while using TAG will be compared against the performance and behavior of students who encounter a more traditional set of cognitive prompts that would typically be used within a virtual learning environment. Following this study, data was analyzed using a novel modeling and analysis tool that combines enhanced log annotation using video and user model generation functionalities to highlight trends amongst students. / Dissertation/Thesis / M.S. Computer Science 2014
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Developing a Source Criticism Learning Activity for a Digital Learning Environment in HistoryKling, Mattias January 2015 (has links)
Source criticism is an important part of the national curriculum in the history subject in middle grade schools. This master thesis presents the development of a digital learning activity for teaching students about source criticism concepts. The learning activity was developed by first researching the history curriculum and how source criticism is taught within the subject. A conceptual design was drafted based on these findings and the design of an existing framework for teaching students within the history subject. The existing framework, and the developed learning activity, is based on learning-by-teaching implemented in the form of a teachable agent. The teachable agent act as a tutee that students have to teach themselves, increasing students' motivation and learning. By teaching the agent, students improve their own learning. The final implementation of the activity is integrated into both the technical framework and the narrative of the existing environment.
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Debugging in a World Full of Bugs : Designing an educational game to teach debugging and error detection with the help of a teachable agent / Hur man designar ett digitalt spel för att introducera felsökning med hjälp av en digital lärkompisKoniakowski, Isabella January 2020 (has links)
This study used the Magical Garden software and earlier research into computational thinking as a point of departure to explore what metaphors could be used and how a teachable agent could be utilised to introduce debugging and error detection to preschool children between four and six years old. A research through design methodology allowed the researcher to iteratively work divergently and convergently through sketching, creating a Pugh matrix, conducting six formative interviews, and finally creating two hybrid-concepts as paths to teaching debugging in the form of concepts. Many metaphors discovered in the design process and in preschool teachers' daily practices were judged possible for teaching debugging and error detection. The analysis of these resulted in four recommendations for choosing a suitable metaphor when teaching debugging: it should have clear rights and wrongs, it should allow for variation, it should have an easily understandable sequentiality to it, and it should be appropriate for the age-group. Furthermore, six recommendations were formulated for utilising a teachable agent: have explicitly stated learning goals, review them and explore new ones as you go, have a diverse design space exploration, make the learning objective task complex, not the game in general, reflect on if using a TA is the best solution, make use of the correct terminology, and keep the graphical elements simple. These recommendations, together with the hybrid-concepts created, provide researchers and teachers with knowledge of how to choose appropriate metaphors and utilise teachable agents when aiming to teach debugging and error detection to children between four and six years old.
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