AUTOMATIC LABELING OF RSS ARTICLES USING ONLINE LATENT DIRICHLET ALLOCATION

The amount of information contained within the Internet has exploded in recent decades. As more and more news, blogs, and many other kinds of articles that are published on the Internet, categorization of articles and documents are increasingly desired. Among the approaches to categorize articles, labeling is one of the most common method; it provides a relatively intuitive and effective way to separate articles into different categories. However, manual labeling is limited by its efficiency, even thought the labels selected manually have relatively high quality. This report explores the topic modeling approach of Online Latent Dirichlet Allocation (Online-LDA). Additionally, a method to automatically label articles with their latent topics by combining the Online-LDA posterior with a probabilistic automatic labeling algorithm is implemented. The goal of this report is to examine the accuracy of the labels generated automatically by a topic model and probabilistic relevance algorithm for a set of real-world, dynamically updated articles from an online Rich Site Summary (RSS) service.

The Impact of a Classroom Performance System on Learning Gains in a Biology Course for Science Majors

This study was conducted to determine if the use of the technology known as Classroom Performance System (CPS), specifically referred to as “Clickers”, improves the learning gains of students enrolled in a biology course for science majors. CPS is one of a group of developing technologies adapted for providing feedback in the classroom using a learner-centered approach. It supports and facilitates discussion among students and between them and teachers, and provides for participation by passive students. Advocates, influenced by constructivist theories, claim increased academic achievement. In science teaching, the results have been mixed, but there is some evidence of improvements in conceptual understanding. The study employed a pretest-posttest, non-equivalent groups experimental design. The sample consisted of 226 participants in six sections of a college biology course at a large community college in South Florida with two instructors trained in the use of clickers. Each instructor randomly selected their sections into CPS (treatment) and non-CPS (control) groups. All participants filled out a survey that included demographic data at the beginning of the semester. The treatment group used clicker questions throughout, with discussions as necessary, whereas the control groups answered the same questions as quizzes, similarly engaging in discussion where necessary. The learning gains were assessed on a pre/post-test basis. The average learning gains, defined as the actual gain divided by the possible gain, were slightly better in the treatment group than in the control group, but the difference was statistically non-significant. An Analysis of Covariance (ANCOVA) statistic with pretest scores as the covariate was conducted to test for significant differences between the treatment and control groups on the posttest. A second ANCOVA was used to determine the significance of differences between the treatment and control groups on the posttest scores, after controlling for sex, GPA, academic status, experience with clickers, and instructional style. The results indicated a small increase in learning gains but these were not statistically significant. The data did not support an increase in learning based on the use of the CPS technology. This study adds to the body of research that questions whether CPS technology merits classroom adaptation.

Geospatial Data Indexing Analysis and Visualization via Web Services with Autonomic Resource Management

With the exponential growth of the usage of web-based map services, the web GIS application has become more and more popular. Spatial data index, search, analysis, visualization and the resource management of such services are becoming increasingly important to deliver user-desired Quality of Service. First, spatial indexing is typically time-consuming and is not available to end-users. To address this, we introduce TerraFly sksOpen, an open-sourced an Online Indexing and Querying System for Big Geospatial Data. Integrated with the TerraFly Geospatial database [1-9], sksOpen is an efficient indexing and query engine for processing Top-k Spatial Boolean Queries. Further, we provide ergonomic visualization of query results on interactive maps to facilitate the user’s data analysis. Second, due to the highly complex and dynamic nature of GIS systems, it is quite challenging for the end users to quickly understand and analyze the spatial data, and to efficiently share their own data and analysis results with others. Built on the TerraFly Geo spatial database, TerraFly GeoCloud is an extra layer running upon the TerraFly map and can efficiently support many different visualization functions and spatial data analysis models. Furthermore, users can create unique URLs to visualize and share the analysis results. TerraFly GeoCloud also enables the MapQL technology to customize map visualization using SQL-like statements [10]. Third, map systems often serve dynamic web workloads and involve multiple CPU and I/O intensive tiers, which make it challenging to meet the response time targets of map requests while using the resources efficiently. Virtualization facilitates the deployment of web map services and improves their resource utilization through encapsulation and consolidation. Autonomic resource management allows resources to be automatically provisioned to a map service and its internal tiers on demand. v-TerraFly are techniques to predict the demand of map workloads online and optimize resource allocations, considering both response time and data freshness as the QoS target. The proposed v-TerraFly system is prototyped on TerraFly, a production web map service, and evaluated using real TerraFly workloads. The results show that v-TerraFly can accurately predict the workload demands: 18.91% more accurate; and efficiently allocate resources to meet the QoS target: improves the QoS by 26.19% and saves resource usages by 20.83% compared to traditional peak load-based resource allocation.

Conceptualisation de l’activité pédagogique en contexte d’apprentissage hybride et développement professionnel des enseignant(e)s universitaires

L’intégration des nouvelles technologies en enseignement supérieur ne devrait pas être vue comme un simple effet de mode, mais plutôt comme un cadre de réflexion sur les orientations nouvelles à donner à l’Université du 21ème siècle, en termes de culture institutionnelle, de ressources organisationnelles et d’opérationnalisation d’objectifs de recherche et d’enseignement (Duderstadt et al, 2002 ; Guri-Rosenblit, 2005). En effet, l’émergence d’une nouvelle tendance de formation post-secondaire, qu’est l’intégration des solutions virtuelles au présentiel, n’est pas sans incidences sur les pratiques enseignantes. Or, la littérature n’offre pas de modèles descriptifs satisfaisants permettant de mieux saisir la pertinence des liens entre l’enseignement en contexte d’apprentissage hybride et le développement professionnel des enseignants universitaires. Aussi avons-nous procédé par des observations participantes de deux cours en sciences de la gestion à HEC Montréal, dans les programmes de certificat de premier cycle ainsi que par des entretiens d’explicitation et d’autoconfrontation, pendant toute la session d’automne 2014, pour respectivement recueillir des données sur les pratiques réelles d’un maître d’enseignement, en sociologie du travail, et d’une chargée de cours, en gestion de projets. Notre analyse du corpus, par catégorisations conceptualisantes, a permis la production d’énoncés nomologiques rendant compte de la dynamique de relations entre ces deux phénomènes. Sur le plan scientifique, elle a apporté un éclairage nouveau sur les processus de construction identitaire professionnelle en pédagogie universitaire, en regard des mutations technologiques, socioculturelles et économiques que subissent l’Université, en général, et les pratiques enseignantes et étudiantes, en particulier. L’approche inductive utilisée a donc permis de définir la structure des interactions des deux phénomènes, selon la perspective des deux enseignants, et d’élaborer des modèles d’intervention enracinés dans leurs pratiques quotidiennes. Aussi sur le plan social, ces modèles sont-ils l’expression d’une grammaire de la pensée et de l’action, ancrée dans les valeurs des enseignants eux-mêmes. Nous avons pris en compte le paradigme de la tâche réelle, versus celui de la tâche prescrite, en termes de mise en œuvre concrète des processus pédagogiques, pour rendre les résultats de cette recherche signifiants pour la pratique. Les modèles, qui ont émergé de notre configuration de la pensée dialogique des participants, peuvent être intégrés à la formation des enseignants universitaires en contexte de bimodalisation de l’Université.

El aprendizaje en una comunidad en internet de profesores de español como segunda lengua: estudio etnográfico virtual de la comunidad Todoele

In the digital era the availability of resources for online learning has multiplied along with personal learning environments. Proof of this is the proliferation of phenomena in the internet like Open Educational Resources or the Massive Open Online Course (MOOC) and the vast diversity of Online Communities of Practice (OCoP). The former is the object of study in the present Thesis. As Juan Freire (2012: 71) wrote: “The education is already happening, specially outside of educational institutions and formal process of education.” The OCoP garnered attention in the research community during the last few years. And, according to published research, online communities are turning into an emerging phenomena not only for “digital natives” (White, 2011) but also for lifelong learning (Wenger et al, 2002; Dubé et al, 2006; Lai et al, 2006) and specially as a tool for teacher training (Garrido, 2003; Murua, 2015). Teachers develop, through these tools, networks of self support, share didactic material, and look for solutions to common problems while undertaking initiatives towards even more collaboration. The present thesis is a study of Comunidad Todoele (CT) one of the most reputable networks for Spanish as a Foreign Language Teachers (ELE, from it’s Spanish acronym). Currently the community has near 11,000 members and it’s main purpose is researching, describing, and theorising the formative processes that happen inside the network from the perspective of those experiencing it. Debate is centred on the questions: What relevant knowledge do the teachers get from the community? In which way are these processes of learning developed? In other words, How, and what, do teachers learn in these environment?..

Adaptive cultural transmission biases in children and nonhuman primates

Comparative and evolutionary developmental analyses seek to discover the similarities and differences between humans and non-human species that illuminate both the evolutionary foundations of our nature that we share with other animals, and the distinctive characteristics that make human development unique. As our closest animal relatives, with whom we last shared common ancestry, non-human primates have beenparticularly important in this endeavour. Such studies that have focused on social learning, traditions, and culture have discovered much about the ‘how’ of social learning, concerned with key underlying processes such as imitation and emulation. One of the core discoveries is that the adaptive adjustment of social learning options to different contexts is not unique to human infants, therefore multiple new strands of research have begun to focus on more subtle questions about when, from whom, and why such learning occurs. Here we review illustrative studies on both human infants and young children and on non-human primates to identify the similarities shared more broadly across the primate order, and the apparent specialisms that distinguish human development. Adaptive biases in social learning discussed include those modulated by task comprehension, experience, conformity to majorities, and the age, skill, proficiency and familiarity of potential alternative cultural models.

Conceptualisation de l’activité pédagogique en contexte d’apprentissage hybride et développement professionnel des enseignant(e)s universitaires

L’intégration des nouvelles technologies en enseignement supérieur ne devrait pas être vue comme un simple effet de mode, mais plutôt comme un cadre de réflexion sur les orientations nouvelles à donner à l’Université du 21ème siècle, en termes de culture institutionnelle, de ressources organisationnelles et d’opérationnalisation d’objectifs de recherche et d’enseignement (Duderstadt et al, 2002 ; Guri-Rosenblit, 2005). En effet, l’émergence d’une nouvelle tendance de formation post-secondaire, qu’est l’intégration des solutions virtuelles au présentiel, n’est pas sans incidences sur les pratiques enseignantes. Or, la littérature n’offre pas de modèles descriptifs satisfaisants permettant de mieux saisir la pertinence des liens entre l’enseignement en contexte d’apprentissage hybride et le développement professionnel des enseignants universitaires. Aussi avons-nous procédé par des observations participantes de deux cours en sciences de la gestion à HEC Montréal, dans les programmes de certificat de premier cycle ainsi que par des entretiens d’explicitation et d’autoconfrontation, pendant toute la session d’automne 2014, pour respectivement recueillir des données sur les pratiques réelles d’un maître d’enseignement, en sociologie du travail, et d’une chargée de cours, en gestion de projets. Notre analyse du corpus, par catégorisations conceptualisantes, a permis la production d’énoncés nomologiques rendant compte de la dynamique de relations entre ces deux phénomènes. Sur le plan scientifique, elle a apporté un éclairage nouveau sur les processus de construction identitaire professionnelle en pédagogie universitaire, en regard des mutations technologiques, socioculturelles et économiques que subissent l’Université, en général, et les pratiques enseignantes et étudiantes, en particulier. L’approche inductive utilisée a donc permis de définir la structure des interactions des deux phénomènes, selon la perspective des deux enseignants, et d’élaborer des modèles d’intervention enracinés dans leurs pratiques quotidiennes. Aussi sur le plan social, ces modèles sont-ils l’expression d’une grammaire de la pensée et de l’action, ancrée dans les valeurs des enseignants eux-mêmes. Nous avons pris en compte le paradigme de la tâche réelle, versus celui de la tâche prescrite, en termes de mise en œuvre concrète des processus pédagogiques, pour rendre les résultats de cette recherche signifiants pour la pratique. Les modèles, qui ont émergé de notre configuration de la pensée dialogique des participants, peuvent être intégrés à la formation des enseignants universitaires en contexte de bimodalisation de l’Université.

L'Intégration d'un Module d'Étude Internet Dans la Classe de Comptabilité: Perceptions des Élèves et les Résultats Académiques

Implemented in the context of Business Administration students enrolled in a college level three year technology program, this research investigated students’ perceptions and academic results concurrent with the implementation of an online web module designed to facilitate student self-study. The students involved in this research were enrolled in a program that, while offering a broad education in business disciplines, specialized in the field of accounting. As a result, students were enrolled in academically rigorous accounting courses in each of the six semesters of the program. The weighting of these accounting courses imposes a significant self-study component – typically matching or exceeding the time spent in class. In this context many of the students enrolled in the Business Administration Program have faced difficulties completing the self-study component of the course effectively as demonstrated in low homework completion rates, low homework grade averages and ultimately low success rates in the courses. In an attempt to address this situation this research studied the implementation of a web-based self-study module. Through this module students could access a number of learning tools that were designed to facilitate the self-study process under the premise that more effective self-study learning tools will help remove obstacles and provide more timely confirmation of learning during student self-study efforts. This research collected data from a single cohort of students drawn from the first three sequential accounting courses of the Business Administration Program. The web-based self-study module was implemented in the third of the three sequential accounting courses. The first two of these courses implemented a traditional manual self-study environment. Data collected from the three accounting courses included homework completion rates, homework, exam and final grades for the respective courses. In addition the web-study module allowed the automatic reporting of student usage of a number of specific online learning tools. To complement the academic data, students were surveyed to gain insight into their perceptions of the effectiveness of the web-based system. The research provided a number of interesting insights. First among these was a confirmation of the importance of the self-study process in the academic achievement of the learners. Regardless of the self-study environment, manual or web-enhanced, a significant positive correlation existed between the students’ self-study results, demonstrated in both homework completion rates and homework averages and the corresponding final grades. These results confirm the importance of self-study found generally in the prevailing academic literature regarding students enrolled in higher education. In addition, the web-enhanced learning environment implemented during the third accounting course coincided with significantly higher homework completion rates and corresponding homework averages: homework completion rates in particular increased from a combined average of 63% in the first two accounting courses to 93% in the web-enhanced context of the third accounting course. Moreover, the homework completion rates of the web-enhanced course were evenly distributed across the cohort of students. A quartile-based analysis was subsequently completed. Quartiles were constructed by ranking the students according to their combined average homework completion rates from the first two manual self-study courses, Accounting I and II. The quartile-based homework completion rates for the manual self-study courses Accounting I and II were subsequently compared to the results these same quartiles of students achieved in the web-based self-study within Accounting III. While the first two courses demonstrated significantly uneven homework completion rates across the quartiles ranging from 31% to 91% homework completion rates, the differences among the four quartiles within the web-enhanced module, with an average homework completion rate of 93%, were statistically insignificant. Congruent with the positive academic results observed in the third, web-enhanced course, through the corresponding survey, students expressed a strong attitude in favor of the online self-study environment. This research was designed to add to the existing research that studies the implementation of learning in an online setting. Specifically, the research was designed to explore a middle ground of online learning – a web-enhanced course – a context that supplements the classroom experience rather than replacing it. The web-enhanced accounting course demonstrated impressive favorable results, both academically and in terms of students' perception of the system; these results suggest that a web-enhanced environment can provide learning tools that facilitate the self-study process while providing a structured learning environment that can help developing learners reach their potential.

Machine learning techniques for implicit interaction using mobile sensors

Interactions in mobile devices normally happen in an explicit manner, which means that they are initiated by the users. Yet, users are typically unaware that they also interact implicitly with their devices. For instance, our hand pose changes naturally when we type text messages. Whilst the touchscreen captures finger touches, hand movements during this interaction however are unused. If this implicit hand movement is observed, it can be used as additional information to support or to enhance the users’ text entry experience. This thesis investigates how implicit sensing can be used to improve existing, standard interaction technique qualities. In particular, this thesis looks into enhancing front-of-device interaction through back-of-device and hand movement implicit sensing. We propose the investigation through machine learning techniques. We look into problems on how sensor data via implicit sensing can be used to predict a certain aspect of an interaction. For instance, one of the questions that this thesis attempts to answer is whether hand movement during a touch targeting task correlates with the touch position. This is a complex relationship to understand but can be best explained through machine learning. Using machine learning as a tool, such correlation can be measured, quantified, understood and used to make predictions on future touch position. Furthermore, this thesis also evaluates the predictive power of the sensor data. We show this through a number of studies. In Chapter 5 we show that probabilistic modelling of sensor inputs and recorded touch locations can be used to predict the general area of future touches on touchscreen. In Chapter 7, using SVM classifiers, we show that data from implicit sensing from general mobile interactions is user-specific. This can be used to identify users implicitly. In Chapter 6, we also show that touch interaction errors can be detected from sensor data. In our experiment, we show that there are sufficient distinguishable patterns between normal interaction signals and signals that are strongly correlated with interaction error. In all studies, we show that performance gain can be achieved by combining sensor inputs.

El videojuego League of legends y su efecto en memoria de trabajo visual y solución de problemas

El propósito de este estudio es medir los efectos que tiene el videojuego League of Legends en los procesos cognitivos de memoria de trabajo visual (MVT) y solución de problemas (SP). Para medir dichos efectos se implementó un diseño pre test-post con un grupo experimental y uno control, compuestos cada uno por siete participantes, en donde se evaluaron los procesos previamente mencionados utilizando los cubos de Corsi para MVT y las matrices del WAIS III para SP. Después de realizar los respectivos entrenamientos se encontraron resultados significativos en los diferentes momentos de aplicación. En el grupo experimental se encontraron diferencias en la variable dependiente SP, mientras que en el grupo control en MVT, pero no en la interacción entre grupos ni diferencias entre grupos, lo que sugiere un efecto de familiarización a la prueba.