A case study of agent programmability in an online learning environment

Software agents are well-suited to assisting users with routine, repetitive, and time-consuming tasks in various educational environments. In order to achieve complex tasks effectively, humans and agents sometimes need to work together. However, some issues in human agent interaction have not been solved properly, such as delegation, trust and privacy. The agent research community has focused on technologies for constructing autonomous agents and techniques for collaboration among agents. Little attention has been paid to supporting interactions between humans and agents. p* The objectives of this research are to investigate how easy it might be for a user to program his/her agent, how users behave when given the ability to program their agents, whether access to necessary help resources can be improved, and whether such a system can facilitate collaborative learning. Studying users’ concerns about their privacy and how an online learning environment can be built to protect users’ privacy are also interesting issues to us. In this thesis two alternative systems were developed for programmable agents in which a human user can define a set of rules to direct an agent’s activities at execution time. The systems were built on top of a multi-agent collaborative learning environment that enables a user to program his or her agent to communicate with other agents and to monitor the activities of other users and their agents. These systems for end user programmable agents were evaluated and compared. The result demonstrated that an end-user programming environment is able to meet users’ individual needs on awareness information, facilitate the information exchange among the users, and enhance the communication between users within a virtual learning environment. This research provides a platform for investigating concerns over user privacy caused by agent programmability

Proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET 2013)

"This book contains the proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET) 2013 which was held on 16.-17.September 2013 in Paphos (Cyprus) in conjunction with the EC-TEL conference. The workshop and hence the proceedings are divided in two parts: on Day 1 the EuroPLOT project and its results are introduced, with papers about the specific case studies and their evaluation. On Day 2, peer-reviewed papers are presented which address specific topics and issues going beyond the EuroPLOT scope. This workshop is one of the deliverables (D 2.6) of the EuroPLOT project, which has been funded from November 2010 – October 2013 by the Education, Audiovisual and Culture Executive Agency (EACEA) of the European Commission through the Lifelong Learning Programme (LLL) by grant #511633. The purpose of this project was to develop and evaluate Persuasive Learning Objects and Technologies (PLOTS), based on ideas of BJ Fogg. The purpose of this workshop is to summarize the findings obtained during this project and disseminate them to an interested audience. Furthermore, it shall foster discussions about the future of persuasive technology and design in the context of learning, education and teaching. The international community working in this area of research is relatively small. Nevertheless, we have received a number of high-quality submissions which went through a peer-review process before being selected for presentation and publication. We hope that the information found in this book is useful to the reader and that more interest in this novel approach of persuasive design for teaching/education/learning is stimulated. We are very grateful to the organisers of EC-TEL 2013 for allowing to host IWEPLET 2013 within their organisational facilities which helped us a lot in preparing this event. I am also very grateful to everyone in the EuroPLOT team for collaborating so effectively in these three years towards creating excellent outputs, and for being such a nice group with a very positive spirit also beyond work. And finally I would like to thank the EACEA for providing the financial resources for the EuroPLOT project and for being very helpful when needed. This funding made it possible to organise the IWEPLET workshop without charging a fee from the participants.

Social personalized e-learning framework

This thesis discusses the topic of how to improve adaptive and personalized e-learning in order to provide novel learning experiences. A recent literature review revealed that adaptive and personalized e-learning systems are not widely used. There is a lack of interoperability between adaptive systems and learning management systems, in addition to limited collaborative and social features. First of all, this thesis investigates the interoperability issue via two case studies. The first case study focuses on how to achieve interoperability between adaptive systems and learning management systems using e-learning standards and the second case study focuses on how to augment e-learning standards with adaptive features. Secondly, this thesis proposes a new social framework for personalized e-learning, in order to provide adaptive and personalized e-learning platforms with new social features. This is not just about creating learning content, but also about developing new ways of learning. For instance, in the presented vision, adaptive learning does not refer to individuals only, but also to groups. Furthermore, the boundaries between authors and learners become less distinct in the Web 2.0 context. Finally, a new social personalized prototype is introduced based on the new social framework for personalized e-learning in order to test and evaluate this framework. The implementation and evaluation of the new system were carried out through a number of case studies.EThOS - Electronic Theses Online ServiceUniversity of Warwick. Dept. of Computer ScienceGBUnited Kingdo

An Investigation Of The Relationship Between The Use Of Modern Digital Technologies, Language Learning Strategies, And Development Of Second Language Skills

Like many other areas of human knowledge, the field of language learning has undergone changes as a consequence of the application of digital technologies. Extensive exposure and anytime and anywhere access availability to data in a second or foreign language (L2) bring almost unlimited learning opportunities for digital age students, which affects their learning behaviors also known as language learning strategies (LLS). The purpose of the present study is to define preferred LLS patterns of digitally native L2 learners and to establish relationships between types of existing digital technologies, learners’ demographic characteristics, and the use of learning strategies to support the development of specific language skills and aspects. The setting for this study was made up by a medium-sized university in the northern U.S., particularly, its undergraduate student population enrolled in foreign language courses in the Department of Modern and Classical Languages and Literatures during the 2021 fall semester. They were asked to complete a survey that contained the original validated version of the Strategy Inventory for Language Learning (SILL) instrument (Oxford, 1990) and three additional sections disclosing the participants’ demographics, technology use experience, and targeted language skills and aspects. Both descriptive and inferential quantitative methods of data analysis were used in the study to elucidate the research questions. A number of analytic procedures using SPSS® Statistics software were performed to find out detailed statistic values of the research variables. Frequencies and descriptive statistics, analysis of correlations, extreme groupings t-tests to explore the relationships between the subsets of categorical variables, and factor analysis of LLS domains were implemented to identify meaningful patterns of technology use in L2 learning. Data from this study provide a view of how the Digital Natives themselves see their technology use and approaches to learning. Research conclusions based on obtained self-reported evidence allow us to make broader recommendations for changes in the L2 teaching methodology. They may also prevent instructors from making unsupported assumptions about their students\u27 mastery of educational technology, and, thereby, from neglecting to teach students the skills they need for academic success. Keywords: digital native learner, digital technology categories, language learning strategies, L2 language skill

Technological innovation and change in the university

It is by now common knowledge that one of the aspects upon which the survival of the University depends is how it will make the best possible use of the new technologies (e-learning). Despite the acceptance of this principle, difficulties arise when one attempts to proceed from the mere declaration to actually planning activities and putting them into effect. This research, the result of collaboration between teachers and researchers of the Educational Science and Engineering Faculties of the University of Florence, focuses on certain theoretical concepts and reference apparatus, bringing international literature to bear on the specific case of Italy. [english version]It is by now common knowledge that one of the aspects upon which the survival of the University depends is how it will make the best possible use of the new technologies (e-learning). Despite the acceptance of this principle, difficulties arise when one attempts to proceed from the mere declaration to actually planning activities and putting them into effect. This research, the result of collaboration between teachers and researchers of the Educational Science and Engineering Faculties of the University of Florence, focuses on certain theoretical concepts and reference apparatus, bringing international literature to bear on the specific case of Italy. [english version

Technological innovation and change in the university

It is by now common knowledge that one of the aspects upon which the survival of the University depends is how it will make the best possible use of the new technologies (e-learning). Despite the acceptance of this principle, difficulties arise when one attempts to proceed from the mere declaration to actually planning activities and putting them into effect. This research, the result of collaboration between teachers and researchers of the Educational Science and Engineering Faculties of the University of Florence, focuses on certain theoretical concepts and reference apparatus, bringing international literature to bear on the specific case of Italy

CULTURAL HISTORICAL ACTIVITY THEORY: A FRAMEWORK FOR WRITING CENTER ANALYSES

From the recognized beginning of the laboratory movement in composition instruction, teachers have sought to employ new and more practical methods useful in developing student writing. Such trends continue today as new generations of students enter the academy and new challenges emerge. From such conditions, we might see how components within a system of activity work together to meet objectives and develop outcomes within the shared dialectic of an activity system. Individuals and groups increase the potential for contradiction identification, thus, opportunities for solutions increase through mediational activities. With this idea in mind, this dissertation reviews writing center-related scholarship from 1887 through today to trace emerging contradictions in laboratory teachings epochal movements. The end goal, then, is to define how resolutions to those contradictions have given rise to our modern conceptualization of the writing center. Using Cultural-Historical Activity Theory (CHAT), this dissertation interprets the development of writing centers from their earliest beginnings. Through the evaluation of textual artifacts, I present the development of current writing center praxes in stages: a Formative Period; an Interim or Clinical Period; a Modern period; a Theoretical Period, and an emerging Activist Period. As a result, I look to provide modern writing center practitioners with a thorough history of writing center practices: what shaped them, through what contradictions they arose, what precipitated those contradictions, what resolved them, and what lies ahead. As communities like writing centers re-create themselvesthrough pushing and pulling, conflict and resolution, tension and releasethey birth new conceptualizations of realities. In the end, this dissertation uses CHAT to present a narrative about the development of writing center work that continues to unfold in new and dynamic ways. As a result, what may be most useful through this historical analysis is the way in which writing center practitioners may use CHAT to chart a way forward using the very framework used as the basis of this projects analysis. Today, writing centers may offer new ways to address a pedagogical order designed to challenge racism, homophobia, and other injustices through ongoing reading groups, curricular revision, and other faculty development efforts. Through learning our history, I believe we may more adequately position ourselves to shape our futures

Personalized Approaches to Supporting the Learning Needs of Lifelong Professional Learners

Advanced learning technology research has begun to take on a complex challenge: supporting lifelong learning. Professional learning is an essential subset of lifelong learning that is more tractable than the full lifelong learning challenge. Professionals do not always have access to professional teachers to provide input to the problems they encounter, so they rely on their peers in an online learning community (OLC) to help meet their learning needs. Supporting professional learners within an OLC is a difficult problem as the learning needs of each learner continuously evolve, often in different ways from other learners. Hence, there is a need to provide personalized support to learners adapted to their individual learning needs. This thesis explores personalized approaches for detecting the unperceived learning needs and meeting the expressed learning needs of learners in an OLC. The experimental test bed for this research is Stack Overflow (SO), an OLC used by software professionals. To date, seven experiments have been carried out mining SO peer-peer interaction data. Knowing that question-answerers play a huge role in meeting the learning needs of the question-askers, the first experiment aimed to detect the learning needs of the answerers. Results from experiment 1 show that reputable answerers themselves demonstrate unperceived learning needs as revealed by a decline in quality answers in SO. Of course, a decline in quality answers could impact the help-seeking experience of question-askers; hence experiment 2 sought to understand the effects of the help-seeking experience of question-askers on their enthusiasm to continuously participate within the OLC. As expected, negative help-seeking experiences of question-askers had a large impact on their propensity to seek further help within the OLC. To improve the help-seeking experience of question-askers, it is important to proactively detect the learning needs of the question-answerers before they provide poor quality answers. Thus, in experiment 3 the goal was to predict whether a question-answerer would give a poor answer to a question based on their past peer-peer interactions. Under various assumptions, accuracies ranging from 84.57% to 94.54% were achieved. Next, experiment 4 attempted to detect the unperceived learning needs of question-askers even before they are aware of such needs. Using information about a learner’s interactions over a 5-month period, a prediction was made as to what they would be asking about during the next month, achieving recall and precision values of 0.93 and 0.81. Knowing the learning needs of question-askers early creates an opportunity to predict prospective answerers who could provide timely and quality answers to their question. The goal of experiment 5 was thus to predict the actual answerers for questions based only on information known at the time the question was asked. The iv success rate was at best 63.15%, which would only be marginally useful to inform a real-life peer recommender system. Thus, experiment 6 explored new measures in predicting the answerers, boosting the success rate to 89.64%. Of course, a peer recommender system would be deemed to be especially useful if it can provide prompt interventions, especially to get answers to questions that would otherwise not be answered quickly. To this end, experiment 7 attempted to predict the question-askers whose questions would be answered late or even remain unanswered, and a success rate of 68.4% was achieved. Results from these experiments suggest that modelling the activities of learners in an OLC is key in providing support to them to meet their learning needs. Perhaps, the most important lesson learned in this research is that lightweight approaches can be developed to help meet the evolving learning needs of professionals, even as knowledge changes within a profession. Metrics based on the experiments above are exactly such lightweight methodologies and could be the basis for useful tools to support professional learners