This dissertation examines the interaction patterns that happen in an online learning environment. While many studies look at online learning through the lens of the learner or the learning environment, few studies look at the interaction patterns that happen through the digital traces captured by computational tools. Based on the conceptual…

This dissertation is about a particular style of research. The philosophy of this style is that in order to scientifically understand deep learning, it is fruitful to investigate what happens when neural networks are trained on simple, mathematically well-defined tasks. Even though the training data is simple, the training algorithm can end up…

This dissertation aimed to expand the current literature's understanding of Indigenous epistemology within contemporary social media environments. The qualitative study used social descriptive analysis from forty TikTok videos and comment threads. The descriptive analysis captured major cultural themes, common informal learning behaviors, and…

In this thesis, we incorporate information theory into statistical signal processing and machine learning in order to achieve robust learning in presence of outliers (or generally in environments with non-Gaussian structure). In other words, by incorporating information theory especially when structure of environment is non-Gaussian, the…

The purpose of this explorative field study using elements of case study design was to understand how DIY (Do It Yourself) fashion designers learn to engage in entrepreneurship. DIY fashion designers in this study refers to designers who personally design and make each garment without relying on manufacturers. These fashion designers all have…

A new generation is growing up who have known the internet for their entire lives. More people incorporate social media into more aspects of our lives, including how we learn and negotiate our identities. While formal online classrooms such as MOOCs are a part of the picture, learning also occurs in informal settings such as affinity groups'…

The purpose of this qualitative study is to examine how adults informally learn through engaging with their bicycles in the sport of amateur road racing, and to understand how this learning has shaped their individual and social identities. The study is grounded in two intersecting theoretical frameworks: embodied adult learning theory (especially…

This study aimed to investigate the relationship among MOOC learner's background, social network position and level of interaction. More specifically, it has two goals: (a) to find, at the individual level, the relationship among each learner's background, social network position, and interaction; and (b) to find, at the thread level, how the…

As teacher collaboration becomes an increasingly common goal in school organization, teachers' experiences and perspectives in a Structured Collaboration Environment remain under-examined. This qualitative case study explored how teachers participated in collaborative work, the outcomes of collaboration, and supports and obstacles to productive…

This dissertation investigates the effect of observational learning in crowdsourcing markets as a lens to identify appropriate mechanism(s) for sustaining this increasingly popular business model. Observational learning occurs when crowdsourcing participating agents obtain knowledge from signals they observe in the marketplace and incorporate such…

Aspiring entrepreneurs give and receive support in growth-fostering interactions with seasoned entrepreneurs, mentors, peers, and others. This dissertation investigates viewpoints held by entrepreneurs about their experiences of effective mentoring support. Little is known about how an entrepreneur learns through interacting with different…

People learn from prior experiences. We first learn how to use a spoon and then know how to use a different size of spoon. We first learn how to sew and then learn how to embroider. Transferring knowledge from one situation to another related situation often increases the speed of learning. This observation is relevant to human learning, as well…

In today's networked environment, online forums emerge as a popular form of social structures that have greater opportunities for learning in various organizational contexts. A plethora of studies have investigated the phenomenon to identify antecedent of its success, such as individual characteristics and organizational structure. However,…

This study examines the relationship between two ways of measuring critical thinking in online discussion forums. The study proposes that the results from content analysis, a well-developed technique that is used to measure level of thinking and knowledge construction in online environment, would relate to the results from social network analysis,…

Ensemble approaches have been shown to enhance classification by combining the outputs from a set of voting classifiers. Diversity in error patterns among base classifiers promotes ensemble performance. Multi-task learning is an important characteristic for Neural Network classifiers. Introducing a secondary output unit that receives different…