The Robust Learning Model (RLM): A Comprehensive Approach To A New Online University

 This paper outlines the components of the Robust Learning Model (RLM) as a conceptual framework for creating a new online university offering numerous degree programs at all degree levels. The RLM is a multi-factorial model based on the basic belief that successful learning outcomes depend on multiple factors employed together in a holistic approach. This comprehensive approach was fully implemented and resulted in quality learning at all degree levels, affordable tuition, and accountability

The Assessment Of Online Degree Programs: Lessons From Recent Alumni

The main focus of this study was the assessment performed by recent alumni as an important component of online degree program outcomes assessment. A model of components of the online learning environment was developed and tested to predictive various levels of educational outcomes of online degree programs separately for bachelor and master degree programs' alumni. The educational outcomes include direct educational outcomes and attributed educational outcomes. The model was then validated in predicting summative outcomes assessment. The model played an important role in understanding degree program's online educational outcomes and its predictive validity across all outcomes and degree levels is very high. The alum assessment of the quality of the learning model was found to be the most dominant predictor of educational outcomes for all assessment criteria and for all levels of degree programs. Finally, the explanations and implications of these findings were discussed

The Assessment Of Online Degree Programs: Lessons From Recent Alumni

The main focus of this study was the assessment performed by recent alumni as an important component of online degree program outcomes assessment. A model of components of the online learning environment was developed and tested to predictive various levels of educational outcomes of online degree programs separately for bachelor and master degree programs\u27 alumni. The educational outcomes include direct educational outcomes and attributed educational outcomes. The model was then validated in predicting summative outcomes assessment. The model played an important role in understanding degree program\u27s online educational outcomes and its predictive validity across all outcomes and degree levels is very high. The alum assessment of the quality of the learning model was found to be the most dominant predictor of educational outcomes for all assessment criteria and for all levels of degree programs. Finally, the explanations and implications of these findings were discussed

Quality of Faculty Feedback and Its Effects on Learning and Educational Effectiveness of Online Master Degree Programs

This study assessed the unique contribution of quality of faculty feedback in the first course of online master degree programs, by itself, on a wide range of student educational effectiveness indicators: retention, degree completion, performance in the integrative capstone course, overall program GPA, and overall program time-to-degree while statistically controlling for the effects of student academic performance in the same first course. This assessment was conducted in the context of the Robust Learning Model with Spiral Curriculum. Using logistic regression and multiple regression models, the results of this study confirmed that not only the quality of faculty feedback was crucial to student learning and educational outcomes but this element was of utmost importance in the first core course in an online master degree program. The study presented several important conclusions and evidence for the improvement of online learning. One of the most promising paths for improving online degree program\u27s educational effectiveness was the selection of faculty for teaching the core courses of the program

The Robust Learning Model with a Spiral Curriculum: Implications for the Educational Effectiveness of Online Master Degree Programs

This study integrated the Spiral Curriculum approach into the Robust Learning Model as part of a continuous improvement process that was designed to improve educational effectiveness and then assessed the differences between the initial and integrated models as well as the predictability of the first course in the integrated learning model on a wide range of educational effectiveness indicators for online master degree programs. Meaningful improvement in educational effectiveness was validated by the study. The importance of the first course\u27s predictors in predicting and explaining the various degree program educational effectiveness indicators was also very instrumental. The theoretical and practical implications of the study\u27s findings for online faculty, university administrators, and policy makers were examined

The Cold Peace: Russo-Western Relations as a Mimetic Cold War

In 1989–1991 the geo-ideological contestation between two blocs was swept away, together with the ideology of civil war and its concomitant Cold War played out on the larger stage. Paradoxically, while the domestic sources of Cold War confrontation have been transcended, its external manifestations remain in the form of a ‘legacy’ geopolitical contest between the dominant hegemonic power (the United States) and a number of potential rising great powers, of which Russia is one. The post-revolutionary era is thus one of a ‘cold peace’. A cold peace is a mimetic cold war. In other words, while a cold war accepts the logic of conflict in the international system and between certain protagonists in particular, a cold peace reproduces the behavioural patterns of a cold war but suppresses acceptance of the logic of behaviour. A cold peace is accompanied by a singular stress on notions of victimhood for some and undigested and bitter victory for others. The perceived victim status of one set of actors provides the seedbed for renewed conflict, while the ‘victory’ of the others cannot be consolidated in some sort of relatively unchallenged post-conflict order. The ‘universalism’ of the victors is now challenged by Russia's neo-revisionist policy, including not so much the defence of Westphalian notions of sovereignty but the espousal of an international system with room for multiple systems (the Schmittean pluriverse)

"If only I had taken the other road...": Regret, risk and reinforced learning in informed route-choice

This paper presents a study of the effect of regret on route choice behavior when both descriptional information and experiential feedback on choice outcomes are provided. The relevance of Regret Theory in travel behavior has been well demonstrated in non-repeated choice environments involving decisions on the basis of descriptional information. The relation between regret and reinforced learning through experiential feedbacks is less understood. Using data obtained from a simple route-choice experiment involving different levels of travel time variability, discrete-choice models accounting for regret aversion effects are estimated. The results suggest that regret aversion is more evident when descriptional information is provided ex-ante compared to a pure learning from experience condition. Yet, the source of regret is related more strongly to experiential feedbacks rather than to the descriptional information itself. Payoff variability is negatively associated with regret. Regret aversion is more observable in choice situations that reveal risk-seeking, and less in the case of risk-aversion. These results are important for predicting the possible behavioral impacts of emerging information and communication technologies and intelligent transportation systems on travelers' behavior. © 2012 Springer Science+Business Media, LLC

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements