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The relevance of the research is due to the realization of new educational technologies in the system of general education, including programmed learning. The main drawback of the development of training programs is the imperfection in IT-technologies. The purpose of the master's thesis is to create a programmed learning system. The novelty of the thesis is obtaining a package of semi-formalized and mathematical models of an automated system of programmed learning. Training programs applied in the educational process and showed an increase in the level of student learning. / Актуальность темы обусловлена реализацией в системе общего образования новых педагогических технологий, одна из которых – программированное обучение. При этом основной недостаток разработки обучающих программ – несовершенство в поддержке ИКТ. Целью магистерской диссертации является создание системы программированного обучения. Научная новизна работы заключена в получении пакета полуформализованных и математической моделей автоматизированной системы программированного обучения. На основании этих моделей получены обучающие программы, примененные в учебном процессе и показавшие рост уровня обученности учащихся. Экономическая эффективность предлагаемого решения доказана методом NPV: прогнозируемое значение показателя NPV за 12 месяцев реализации проекта перешло нулевой порог.

In dieser Arbeit zeige ich in einem groß angelegten Experiment die Auswirkungen adaptiver Elemente in einer Online-Lernplattform. Ich werde darauf eingehen, dass die derzeitige Forschung zu Online-Lernplattformen für den L1-Erwerb hauptsächlich deskriptiv ist und dass nur wenige adaptive Lernumgebungen in der Praxis verbreitet sind. In dieser Dissertation werde ich ein Konzept entwickeln, wie adaptives Lernen in L1-Online-Lernplattformen integriert werden kann, und analysieren, ob dies zu verbesserten Lernerfahrungen führt. Dabei konzentriere ich mich auf die Effektivität und Fairness von Vorhersagen und Interventionen sowie auf die geeignete Softwarearchitektur für den Einsatz in der Praxis. Zunächst werden verschiedene Vorhersagemodelle entwickelt, die besonders in Blended-Learning-Szenarien nützlich sind. Anschließend entwickle ich ein Architekturkonzept (adaptive learning as a service), um bestehende Lernplattformen mithilfe von Microservices in adaptive Lernplattformen umzuwandeln. Darauf aufbauend wird ein groß angelegtes online-kontrolliertes Experiment mit mehr als 11.000 Nutzer*innen und mehr als 950.000 eingereichten Rechtschreibaufgaben durchgeführt. In einer abschließenden Studie werden die Vorhersagemodelle auf ihren algorithmischen Bias hin untersucht. Außerdem teste ich verschiedene Techniken zur Verringerung von Bias. Diese Arbeit bietet eine ganzheitliche Sicht auf das adaptive Lernen beim Online-L1-Lernen. Durch die Untersuchung mehrerer Schlüsselaspekte (Vorhersagemodelle, Interventionen, Architektur und Fairness) ermöglicht die Arbeit Schlussfolgerungen sowohl für die Forschung als auch für die Praxis. / In this work I show in a large scale experiment the effect of adding adaptive elements to an online learning platform. I will discuss that the current research on online learning platforms in L1 acquisition is mainly descriptive and that only few adaptive learning environments are prevalent in practice. In this dissertation, I will develop a concept on how to integrate adaptive L1 online learning and analyse if it leads to improved learning experiences. I focus on the effectiveness and fairness of predictions and interventions as well as on the suitable software architecture for use in practice. First, I develop different prediction models, which are particularly useful in blended classroom scenarios. Subsequently, I develop an architectural concept (adaptive learning as a service) to transform existing learning platforms into adaptive learning platforms using microservices. Based on this, a large-scale online-controlled experiment with more than 11,000 users and more than 950,000 submitted spelling tasks is carried out. In the final study, the prediction models are examined for their algorithmic bias, by comparing different machine learning models, varying metrics of fairness, and multiple demographic categories. Furthermore, I test various bias mitigation techniques. The success of bias mitigation approaches depends on the demographic group and metric. However, in-process methods have proven to be particularly successful. This work provides a holistic view of adaptive learning in online L1 learning. By examining several key aspects (predictive models, interventions, architecture, and fairness), the work allows conclusions to be drawn for both research and practice.

近年來，許多企業希望透過不同領域的專家彼此合作，為組織解決日益複雜的難題。然而，跨專業團隊的合作過程充滿挑戰，過去文獻多專注於如何提升知識分享的效果，卻忽略了許多關鍵新知識必須由跨界團隊合作探索而來。在面對陌生情境下，這樣的探索尤其重要，例如：開發新產品、啟用新製程，但我們至今仍對跨專業社群如何合作探索的過程所知甚少。 為了探究這個議題，本研究採用民族誌的方式，追蹤半導體晶圓廠工程師如何在複雜的生產系統中解決跨專業的維修難題。過程中，工作者常常必須面臨因果錯綜複雜、責任歸屬不清、跨界溝通不良所導致的合作困境。研究發現要解決這樣的困境，工作者必須運用疆界物件引發三種工作實務：解讀現象背後的因果、改變合作關係、整合跨界知識，才能找出問題核心並對症下藥。 根據本研究發現，如果我們能了解工作者在特定情境中的學習過程，便可提升既有的知識管理與疆界物件理論。在實務議題上，本研究的發現也能幫助現有員工培訓與跨專業溝通方式。 / Recently, more and more companies are gathering different types of specialist in order to solve increasingly complex problems. But the efforts paid in the process of cooperation are challenging for enterprises. Previous researchers had focused on the transfer and share of cross-disciplinary knowledge. However, they neglected the fact that some critical knowledge must be learned by collaborative exploring in terms of particular situation. To understand this issue, an ethnography study was used to examine the process of trouble shooting undertaken by engineers who encountered complex problems in the fabrication of semiconductor wafers. This thesis addressed three primary challenges faced by engineers. First, the nature of the problem may not be defined appropriately at the beginning. Second, responsibility may not be clearly attributed by cross specialist team who is in charge of investigation. Third, without comprehensive contexts of the practice, communication between engineers is problematic itself. To overcome the problem, engineers must be able to go beyond standard operating procedures so that they can find a new path of solution. This thesis argues that the use of boundary objects is an effective trigger of problem solving. The use of a boundary object is then described as a means of decoding the contexts behind the objects, reforming the relationship of cooperation, and integrating knowledge systemically. These findings suggest that theories of knowledge management and boundary objects could be improved organically by considering what people do and how people learn in practice. Furthermore, these findings bring us practical implications of employee training and cross-disciplinary collaboration.

因應各國中等教育普及化的潮流，教育部擬以高中職社區化為十二年國民教育奠基，將台灣劃分為四十五個適性學習社區，並以均衡高中職城鄉差距、提高國中畢業生就近入學之機會為目的。本研究以雲林縣三個適性學習社區為例，檢視各社區高中、職的就學機會是否均衡，並觀察學生通學活動的情形，是否符合社區內就近入學的期待，藉此對適性學習社區的地理範圍規劃，與其劃分原則提出修正的建議。 本研究發現，雲林縣整體就學機會率較他縣市低落，高中、職學校集中於特定鄉鎮，空間分布不甚平均，不利於學生就近就學，而產生部分學生向外縣市通學的情形。外縣市通學的人口中，以高職生為多，多往嘉義縣、市為就學地；顯示雲林縣境內就學機會的供給不敷需求，高職就學機會不均的現象比高中嚴重許多。而就雲林縣三個適性學習社區觀察，雲二區、雲三區內高中、職學生區內就讀的比例皆為六成以上，是為社區內就近就學的良好基礎；雲一區學生外流的情形嚴重，特別是高職學生，往嘉義縣、市通學的趨勢集中，顯示雲一區內就學機會供不應求的情形嚴重，值得注目。對教育當局的建議有二：（1）高中、職通學活動範圍不同，不宜以同一地理界線劃分；（2）雲一區學生向外通學現象嚴重，宜增設高中職校改善之。 / With the popularization of post-secondary education, the Ministry of Education adopts the plan of “Community Senior High School and Vocational School” to connect with the compulsory education. In this plan, Taiwan has been divided into 45 “Adaptive Learning Communities” and the purpose is to diminish the urban-rural difference and increase the opportunity of nearby school enrollment. This study observes the geographical distribution of students in the three communities in Yunlin to examine the condition of nearby school enrollment. The conclusions are as follows: Senior high schools and vocational schools distributes disproportionately in Yunlin. In other words, almost all schools concentrate in the few towns. It is common for students to commute between residential and school districts, especially for the students enrolled in vocational school. Many non-resident students commute to Chiayi, and the flow of the commuter shows that the supply is unable to meet the demand of school enrollment totally in Yun-1st community. Besides, there are still many students enrolled in nearby schools in Yun-2nd Community and Yun-3rd Community. Based on the results and discoveries of this study, the following suggestions are proposed: (1)The range of the community should be re-divided for senior high schools and vocational schools respectively. (2)It is necessary to establish more schools in Yun-1 community to increase the supply of the opportunity of the nearby school enrollment.

La thèse étudie les implications des anticipations des agents privés formées avec l’apprentissage adaptatif pour la politique monétaire optimale dans des modèles Nouveau Keynésien. Les résultats obtenus sont comparés avec la littérature adoptant l’hypothèse d’anticipations rationnelles. La banque centrale fait l’arbitrage intertemporel introduit par les anticipations à apprentissage adaptatif entre stabiliser l’inflation maintenant et dans le futur. La distorsion générée par ces anticipations rend la politique monétaire davantage agressive, même si la présence du marché financier diminue légèrement l’agressivité de la politique monétaire. Il est optimal pour le gouvernement de choisir un banquier central libéral, ce résultat peut être mitigé par un contrat d’inflation linéaire. Un autre résultat est qu’il est optimal pour la banque centrale d’être moins indépendante en termes d’instruments par rapport aux anticipations rationnelles. La possibilité de contrôle robuste de la politique monétaire est limitée par l’apprentissage adaptatif en économie fermée, et encore plus limitée en économie ouverte. Mes travaux de recherche donnent des recommandations nouvelles. / The dissertation studies the implications of private agents expectations formed with adaptive learning for the optimal monetary policy using New Keynesian models. The obtained results are compared with the literature adopting the hypothesis of rational expectations. The central bank makes the intertemporal trade-off between stabilizing current inflation or the future one that is introduced by adaptive learning expectations. The distortion which is introduced by this latter makes the monetary policy more aggressive, even if the presence of financial market slightly reduces the aggressiveness of the monetary policy. It is optimal for the government to choose a liberal central banker, but this result may be mitigated by adopting a linear inflation contract. Another result is that it is optimal for the central bank to be less instrument-independent compared to rational expectations. The possibility of robust control for monetary policy is limited by adaptive learning in a closed economy, and even more limited in an open economy. My research works give new recommendations for policy making.

Högskolelärare omges av många kravställningar från olika håll samt en hög arbetsbelastning som de behöver hantera för att kunna balansera sitt arbete med privatlivet. Forskning är bristfällig hur högskolelärare hanterar att balansera sin höga arbetsbelastning med deras privatliv. Syfte: Studiens syfte är att utifrån ett hälsopedagogiskt perspektiv belysa hur högskolelärare lär sig hantera balansen mellan arbete och privatliv inom högskolesektorn. Teoretisk referensram: Den teoretiska referensramen består av en hälsoteoretisk utgångspunkt i krav-kontroll-stödmodellen samt en pedagogisk utgångspunkt i anpassnings- och utvecklingsinriktat lärande. Metod: Den metod som studien utgår ifrån är av kvalitativ art där det empiriska materialet samlades in genom tre fokusgruppsintervjuer. Sammanlagt deltog tretton högskolelärare i studien. Studien pendlade mellan ett deduktivt och induktivt arbetssätt och materialet analyserades genom analysmetoden kategorisering. Resultat: Högskolelärarnas arbetssituation präglas av både organisatoriska och individuella krav och denna kombination av krav kan skapa ett gränslöst arbete beroende på individens personlighet. För att hantera de kravställningar som högskolelärare omges av så utvecklar de olika individuella strategier. De upplever även en hög kontroll vilket beskrivs som både positivt och negativt då de upplever arbetsglädje, dock bidrar hög kontroll till att de arbetar mycket övertid samt hemifrån. Högskolelärarna beskriver brister i det sociala stödet då högskolesektorn präglas av mycket individbaserade arbetsuppgifter och mer teambaserat arbete önskas. Slutsats: Den huvudsakliga slutsatsen som dras är att gränsen mellan arbete och privatliv består av flera olika gränser som är svåra att definiera, samt att högskolelärarnas förhållningssätt är att de anpassar sig och att de accepterar de rådande arbetsförhållandena istället för att motverka och förändra dem. / Academic teachers are surrounded by many demands from different directions and a high workload that they need to handle in order to balance their working and personal life. Research is inadequate how academic teachers manage to balance their high workload with their privacy. Purpose: The aim of the study is to illuminate the balance between work and personal life in the higher education sector from a health education perspective. Theoretical reference framework: The theoretical frame of reference consists of a health theoretical point of departure in the demand-control and support model and an educational starting point in adaptation and development- oriented learning. Method: The methodology from which the study is based is of a qualitative nature where the empirical material was collected through three focus group interviews. A total of thirteen college teachers participated in the study. The study commuted between a deductive and inductive mode of work and the material was analyzed by the analysis method categorization. Result: The worksituation of academic teachers is characterized by both organizational and individual requirements and this combination of requirements can create boundless work depending on the individual's personality. In order to handle the demands of academic teachers, they develop different individual strategies. They also experience a high level of control, which is described as both positive and negative as they experience job satisfaction, yet provide high levels of control that they work a lot of overtime and from home. Academic teachers describe shortcomings in social support, since the higher education sector is characterized by highly individual-based tasks and more team- based work is desired. Conclusion: The main conclusion drawn is that the boundary between work and privacy consists of several different boundaries that are difficult to define, and that the attitude of academic teachers is that they adapt and that they accede to the prevailing working conditions instead of counteracting and changing them.

[pt] O presente trabalho teve como objetivo analisar a percepção dos alunos dos cursos de Administração, de cinco Universidades particulares de ensino superior do estado do Rio de Janeiro, acerca do investimento destas universidades nas tendências acadêmicas apontadas para os próximos anos, de acordo com o relatório anual de 2017, da New Media Consortium em parceria com a EDUCAUSE Learning Initiative, a saber: i) tecnologias de aprendizagem adaptativa; ii) Mobile Learning; iii) Internet das Coisas e iv) ambiente de aprendizagem virtual. Na análise dos dados, cada tendência foi dividida em duas sub-tendências. Este trabalho teve como objetivo secundário, avaliar o quanto estas tendências são consideradas importantes para seu principal público-alvo. Sendo assim, pudemos concluir que na percepção de tal público, as IES pesquisadas (PUC, UFRJ, UVA, UCAM e UNESA) têm investido pouco nestas novas tendências acadêmicas, sendo a PUC a que mais investe nas quatro tendências citadas acima. Apenas uma sub-tendência dentro de tecnologias de aprendizagem adaptativa e outra dentro de ambiente de aprendizagem virtual ficaram com percepção média acima de razoável, no quesito investimento, ambas associadas à PUC. No entanto, os alunos da PUC foram os que avaliaram a grande maioria das tendências como de menor importância quando comparados aos alunos das outras IES. Apesar disto, a média de avaliação de importância das tendências foi de razoável a muito importante. Enfatiza-se que novas pesquisas sejam feitas constantemente, visto que novas tecnologias de aprendizagem, que substituem as anteriores, estão surgindo com frequência. / [en] The present study had as a primary objective analyze the perception of students from business courses of 5 private universities of higher education in the state of Rio de Janeiro, about the investment of these universities in the academic trends pointed out for the next years, based on the annual report of the New Media Consortium in partnership with the EDUCAUSE Learning Initiative. These trends are: i) adaptive learning technologies; ii) mobile learning; iii) internet of things and iv) virtual learning environment. In the data analysis, each trend was divided into two sub-trends. As a secondary objective, this study aims to evaluate how much these trends are considered important for its main target audience. Thus, we could conclude that in the perception of such public, the universities surveyed (PUC, UFRJ, UVA, UCAM and UNESA) have invested little in these new academic trends, with PUC being the one investing most in the four trends mentioned above. Only one sub-trend within adaptive learning technologies and another within virtual learning environment were perceived to be above average as reasonable in terms of investment, both associated with PUC. However, PUC students were those who evaluated the great majority of trends as less important when compared to the students of other universities. Despite this, the average valuation of trends importance was from reasonable to very important. It is emphasized that new research needs constantly being done, as new learning technologies, which replace the previous ones, are emerging frequently.

The recent release of AI tools for public use allows for the development of novel teaching approaches for goals that often present challenges in the classroom, such as the need for personalized learning materials. The current study enlists a four-week ChatGPT-based personalized learning intervention in tandem with a teacher questionnaire and interviews in two upper-secondary schools in Southern Sweden to investigate English teacher perceptions of the benefits and challenges of using AI for personalized language learning. In addition, the intervention investigates the potential effectiveness of personalized learning assignments using ChatGPT on the development of students’ grammar abilities in a specific, local classroom context to both address a local need at the school in question and to serve as a proof of concept for more broad-based, future research on the use of these tools for this purpose. The questionnaire revealed that teachers initially had some concerns regarding the accuracy, reliability, and practical implementation of such tools. However, the intervention was found to significantly reduce grammar errors in student writing, and in follow-up interviews, teachers reported feeling more receptive to such approaches after interacting with the tools and seeing the beneficial results. These findings demonstrate that teachers may be hesitant to implement AI tools, which underscores the importance of training and first-hand use for promoting their successful adoption into pedagogical practices. In addition, the findings suggest that AI-based tools for personalized language learning may also be successful in a broader educational context. Finally, certain limitations, such as the small sample size, are acknowledged which emphasizes that further research is necessary to acquire a more comprehensive understanding of personalized learning using AI-based tools like ChatGPT.

<p>     Farmers face significant uncertainty, like weather and prices. Micro-economic theory tells us that when facing uncertainty, an agent, or farmer, makes economic decisions based upon their expectations. This primitive is important for agricultural economics. The “classic” agricultural economic problems: acreage allocation, commodity storage, technology adoption, household labor engagement, etc., are all influenced by the expectations of farmers. Despite expectations pervasive inclusion in economic theory and the decades of attention from agricultural economists, we still know relatively little about how farmers form expectations. This Dissertation is aimed at this opportunity.</p> <p>     The first chapter estimates the degree to which information is incorporated in farmland value expectations. Theoretically, an agent’s expectation should represent all available information. However, there are reasons to believe that an agent may not possess all the pertinent information or they may not be able to interpret the information. Macroeconomists have developed two models to explain the degree to which information may not be incorporated into expectations, The Sticky and Noisy Information Models. I use expectations and actual values of Iowa farmland from 1964 to 2021 to estimate the degree to which new information is not reflected in expectations, or exhibit information rigidities. I find that Iowa farmland market participants do experience information rigidities. From a practical standpoint, farmland is farmers’ most important collateral, the presence of public, simple farmland information may help mitigate lending challenges as a result of farmland value expectations.</p> <p>     The second chapter addresses how commodity price information is incorporated into the financial expectations of farmers. I estimate how unknown or surprise information from a United States Department of Agriculture (USDA) report changes farmers’ attitudes and expectations of their financial conditions. This chapter, synthesizes literature from macroeconomics and commodity price analysis, and uses a unique source of data, the Purdue University/CME Group Ag Economy Barometer. The Ag Economy Barometer reflects the aggregate sentiment of farmers across the US. Like the consumer sentiment index from the University of Michigan, the Ag Economy Barometer can provide a snapshot of sentiment, a measure outside of fundamental economic indicators. Using the corn ending stocks values from the USDA World Agricultural Supply and Demand Estimates (WASDE), I find that</p> <p>farmers’ short– and long–term expectations and attitudes toward large farm investments are increased by information implying a higher corn price. However, this relationship does not exist in the reverse direction and when corn is not actively growing. As a result, if farmers are acting on these changes in expectations, they may be engaging in suboptimal decision making.</p> <p>     The third and final chapter explores the degree to which previous experience is reflected in expectations. The tales of the financial hardship during 1980’s Farm Financial Crisis have been shared across farmers’ dining room tables for decades. The most prominent anecdote relates to the rapid decline in farmland prices. As mentioned in the first chapter, the asset value of farmland is important to farmers. As a result, if experiences like the 1980’s Farm Financial Crisis have created a downward bias toward farmland values, the asset may be undervalued and frictions may exist in the farmland lending market. Macroeconomists show that consumers’ inflation expectations are directly related to their life experiences. I use a panel of farmland market participants in the Purdue Land Value and Cash Rent Survey to estimate the effect of previous experience on farmland value expectations. I find no</p> <p>significant effects. However, my estimates are using variation in cross sectional data. This modeling choice does not rule out the potential of the Farm Financial Crisis effecting all market participants in a similar way, a question outside of my analysis.</p> <p>     Each chapter of this Dissertation addresses how an agent forms their expectations, a necessary first step in my journey as a researcher. I am interested in the link between expectations and economic outcomes. I have built considerable knowledge on expectation formation and will deploy this knowledge exploring the role of expectations in farm outcomes, like acreage allocation, commodity storage, technology adoption, and household labor engagement. In my next step as a researcher, I plan to use the current theoretical advancements in behavioral economics, the explosion in empirical methods and computing, and the availability of data to re-visit the role of expectations in “classic” farm economics problems.</p>