With considerable input from the student voice, the paper centres on a detailed account of the experiences of Western academic, tutoring Eastern students online to develop their critical thinking skills. From their online experiences together as tutor and students, the writers present a considered case for the main emphasis in facilitative online tutoring to be on building, and then building upon, congruent relationships and constructive feedforward. Initially, the Western tutor had followed as best he could the norms of a Confucian Heritage Culture, concentrating reactively on instructional feedback. He then took the considered risk of reverting to proactivity, following the advice of Rogers and Vygotsky and according to an explicit rationale. The ensuing changes in students' online discussions and their learning experiences were marked and were objectively analysed. The tutor and two of his students suggest that the nature of congruent tutor/student relationships, irrespective of culture, is more significant in effectively promoting development than the cognitive content that might feature in feedback in such interactions. For it seems possible from the reported experiences that learning dependent on technological links may benefit from meaningful tutor/student relationships. A video abstract of this article can be viewed at http://www.youtube.com/watch?v=teslTzgVBsc&feature=youtu.be

The sudden outbreak of COVID-19 has a great impact on human life security and global economic development. To deal with the rampant pandemic, many countries have taken strict control measures, including restricting gathering in public places and stopping the production of enterprises; as a result, many enterprises suffered great challenges in survival and development during the pandemic. In order to help enterprises monitor their own financial situation and realize their healthy development under the pandemic, this paper constructs an Enterprise Financial Early Warning Model, in which Quantum Rotation Gate is used to optimize four algorithms, namely, Fruit Fly Optimization Algorithm (QFOA), Bee Colony Optimization Algorithm (QABC), Particle Swarm Optimization (QPSO), and Ant Colony Optimization (QACO). The results show that the ability of the prediction model can be greatly improved by using the Quantum Rotation Gate to optimize these four algorithms.