Knowledge creation in dynamic learning environments

Researchers have extensively discussed using knowledge management to achieve sustainable competitive advantages; however, the successful implementation of knowledge management programs in organizations remains challenging. Problems with knowledge management arise primarily from issues related to inter-subjective creation of meaning by diverse individuals in a dynamic learning environment. ^ The first part of this dissertation examined the concepts of shared interpretive resources referring to background assumptions, shared language, and symbolic resources upon which individuals draw in their interactions in the community. The discussion adopted an interpretive research approach to underscore how community members develop shared interpretive resources over time. The second part examined how learners' behaviors influence knowledge acquisition in the community, emphasizing the associations between learners' learning approaches and learning contexts. An empirical survey of learners provided significant evidence to demonstrate the influences of learners' learning approaches. The third part examined an instructor's strategy—namely, advance organizer—to enhance learners' knowledge assimilation process. Advance organizer is an instructor strategy that refers to a set of inclusive concepts that introduce and sum up new material, and refers to a method of bridging and linking old information with something new. In this part, I underscore the concepts of advance organizer, and the implementations of advance organizer in one learning environment. A study was conducted in one higher educational environment to show the implementation of advance organizer. Additionally, an advance organizer instrument was developed and tested, and results from learners' feedback were analyzed. The significant empirical evidence showed the association between learners' learning outcomes and the implementation of advance organizer strategy. ^

Document understanding using data mining and machine learning techniques

With the explosive growth of the volume and complexity of document data (e.g., news, blogs, web pages), it has become a necessity to semantically understand documents and deliver meaningful information to users. Areas dealing with these problems are crossing data mining, information retrieval, and machine learning. For example, document clustering and summarization are two fundamental techniques for understanding document data and have attracted much attention in recent years. Given a collection of documents, document clustering aims to partition them into different groups to provide efficient document browsing and navigation mechanisms. One unrevealed area in document clustering is that how to generate meaningful interpretation for the each document cluster resulted from the clustering process. Document summarization is another effective technique for document understanding, which generates a summary by selecting sentences that deliver the major or topic-relevant information in the original documents. How to improve the automatic summarization performance and apply it to newly emerging problems are two valuable research directions. To assist people to capture the semantics of documents effectively and efficiently, the dissertation focuses on developing effective data mining and machine learning algorithms and systems for (1) integrating document clustering and summarization to obtain meaningful document clusters with summarized interpretation, (2) improving document summarization performance and building document understanding systems to solve real-world applications, and (3) summarizing the differences and evolution of multiple document sources.

Employee Orientation: An Organizational and Experiential Learning Approach

Employee orientation problems for a resort chain were studied and addressed through action research. The implemented solution leveraged experiential learning to foster employee initiative and problem solving to instill a culture of learning, improve customer satisfaction and increase employee retention. Business results were achieved but learner/ management reaction was mixed.

Social Learning Capabilities in Broward’s Black Male Success Task Force: Informing Collective Impact Initiatives

Broward Schools is addressing an achievement gap for Black males with a collective impact initiative. Collective impact initiatives address complex social problems. The social learning capability of the initiative can be enhanced by applying Wenger’s (2009) social learning spaces, learning as citizenship, and social artists concepts.

An interview study of community college student perspectives on service -learning

Over the past two decades, the community college in the United States has boasted a leadership role in the movement to make education community-based and performance-oriented. This has led to an intensification in attempts to search for more innovative means to make education more experiential and relevant to students' lived experiences. ^ One such innovative program that holds promise to meet this challenge is service-learning. This paradigm attempts to relate the academic education in the classroom to community-based problems, which fits in neatly with the community-based characteristics of the community college. It promises to link ideas developed in the classroom and their practical application within the community through guided reflection. It is designed to enhance and enrich student learning of course material by combining citizenship, academic subjects, skills, and values. ^ Though many studies have been carried out in regard to the outcomes of service-learning through quantitative means, relatively few qualitative studies are available, and those available have primarily studied traditional students at four-year residential colleges or universities. Therefore, there is an urgent need to study non-traditional students' perspectives at the community college level. ^ The purpose of this study was to describe and explain the perspectives of five students at Broward Community College, Central Campus, Ft. Lauderdale, Florida. The following exploratory questions guided this study: (1) What elements constitute these students' perspectives? (2) What variables influence their perspectives? (3) What beliefs do these students hold about their service-learning experience which support or are contrary to their perspectives? ^ This ethnographic interview study was conducted over a period of twelve months and consisted of three interviews for each of the five participants. The analysis of the data was conducted following the stringent principles of ethnographic research which included constant comparative analysis. The interviews were tape recorded with the participants' permission, transcribed verbatim, and organized into categories for in-depth understanding. Furthermore, these categories were developed from the data collected and an organizational scheme for understanding and interpreting of these perspectives emerged. The researcher, as well, kept a reflective journal of the research process as part of the data set. ^ The results of this study show the need for a better grasp of the concepts of service-learning on the part of all involved with its implementation. In spite of this, all of the participants displayed gains to a greater or lesser degree in personal growth, academic skills, and citizenship skills. ^

An interview study of community college student perspectives on service-learning

Over the past two decades, the community college in the United States has boasted a leadership role in the movement to make education community-based and performance-oriented. This has led to an intensification in attempts to search for more innovative means to make education more experiential and relevant to students' lived experiences. One such innovative program that holds promise to meet this challenge is service- learning. This paradigm attempts to relate the academic education in the classroom to community-based problems, which fits in neatly with the community-based characteristics of the community college. It promises to link ideas developed in the classroom and their practical application within the community through guided reflection. It is designed to enhance and enrich student learning of course material by combining citizenship, academic subjects, skills, and values. Though many studies have been carried out in regard to the outcomes of service-learning through quantitative means, relatively few qualitative studies are available, and those available have primarily studied traditional students at four-year residential colleges or universities. Therefore, there is an urgent need to study non-traditional students' perspectives at the community college level. The purpose of this study was to describe and explain the perspectives of five students at Broward Community College, Central Campus, Ft. Lauderdale, Florida. The following exploratory questions guided this study: 1. What elements constitute these students' perspectives? 2. What variables influence their perspectives? 3. What beliefs do these students hold about their service-learning experience which support or are contrary to their perspectives? This ethnographic interview study was conducted over a period of twelve months and consisted of three interviews for each of the five participants. The analysis of the data was conducted following the stringent principles of ethnographic research which included constant comparative analysis. The interviews were tape recorded with the participants' permission, transcribed verbatim, and organized into categories for in-depth understanding. Furthermore, these categories were developed from the data collected and an organizational scheme for understanding and interpreting of these perspectives emerged. The researcher, as well, kept a reflective journal of the research process as part of the data set. The results of this study show the need for a better grasp of the concepts of service-learning on the part of all involved with its implementation. In spite of this, all of the participants displayed gains to a greater or lesser degree in personal growth, academic skills, and citizenship skills.

Learning Data-Driven Models of Non-Verbal Behaviors for Building Rapport Using an Intelligent Virtual Agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness. Evidence-based patient-centered Brief Motivational Interviewing (BMI) interven- tions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary. Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems. To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].

Learning data-driven models of non-verbal behaviors for building rapport using an intelligent virtual agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness.^ Evidence-based patient-centered Brief Motivational Interviewing (BMI) interventions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary.^ Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems.^ To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].^