Nowadays, we face many obstacles connected with the high quality education. This sphere forces us to implement new methods and approaches in everyday learning process. The following academic research done on psycho-pe...Nowadays, we face many obstacles connected with the high quality education. This sphere forces us to implement new methods and approaches in everyday learning process. The following academic research done on psycho-pedagogical sphere in higher education showed that the enhancement in the educational system is developing slowly because of the lack of research. By all means, it is the right time to follow the objectives and try to develop and suggest the current teaching process using technology that of course will be based on the development of quality control and thesaurus-agency approaches. As mentioned in Bolkan and Goodboy, their research showed that teachers who promote intellectual stimulation empower and enrich students both cognitive and affective getting knowledge and experience process in the classroom. The main objective of current experiment is that it suggests intellectual stimulation which is linked to intrinsic motivation, and that intrinsic motivation has all the advantages to influence students＇ use of effective studying behaviors. According to Dunlosky, Marsh, Nathan, Willingham and Rawson, there are specific techniques which can influence on the overall process of higher education.展开更多
Studies on creativity have identified critical individual and contextual variables that contribute to individuals’creative performance.Ceative self-efficacy has also served as a critical mediating mechanism linking a...Studies on creativity have identified critical individual and contextual variables that contribute to individuals’creative performance.Ceative self-efficacy has also served as a critical mediating mechanism linking a variety of individual and contexual factors to people’s creative performance.However,the factors influence the relationship between creative selfefficacy and creativity have not yet been systematically investigated.In this study,the author explores potential processes that motivation moderate the relationship between creative self-efficacy and university students creativity under the effects of three dominant predictors like openness to experience,learning goal orientation and team learning behavior.展开更多
We present a machine learning approach for the inverse design of organic semiconductor materials from benzene and thiophene-based polycyclic aromatic compounds(PACs).Inverse design is an efficient approach to material...We present a machine learning approach for the inverse design of organic semiconductor materials from benzene and thiophene-based polycyclic aromatic compounds(PACs).Inverse design is an efficient approach to materials discovery that aims to design materials with preset properties.However,it is complex due to the non-uniqueness and nonlinearity of property-to-structure relationships.We demonstrate the potential of this approach through the inverse design of PACs to achieve target HOMO-LUMO gaps,a key property for organic semiconductors,ranging from 1.36 eV to 4.37 eV with an error of 0.15 eV within Density Functional Theory uncertainty.The model uses goalconditioned reinforcement learning with chemical domain knowledge,allowing addressing design goals directly.To incorporate practical aspects such as chemical accessibility,the model can include soft constraints,such as minimizing ring count to favor smaller structures.Thus,our framework addresses key inverse design challenges while allowing prioritization of more optimal or diverse candidates.展开更多
文摘Nowadays, we face many obstacles connected with the high quality education. This sphere forces us to implement new methods and approaches in everyday learning process. The following academic research done on psycho-pedagogical sphere in higher education showed that the enhancement in the educational system is developing slowly because of the lack of research. By all means, it is the right time to follow the objectives and try to develop and suggest the current teaching process using technology that of course will be based on the development of quality control and thesaurus-agency approaches. As mentioned in Bolkan and Goodboy, their research showed that teachers who promote intellectual stimulation empower and enrich students both cognitive and affective getting knowledge and experience process in the classroom. The main objective of current experiment is that it suggests intellectual stimulation which is linked to intrinsic motivation, and that intrinsic motivation has all the advantages to influence students＇ use of effective studying behaviors. According to Dunlosky, Marsh, Nathan, Willingham and Rawson, there are specific techniques which can influence on the overall process of higher education.
文摘Studies on creativity have identified critical individual and contextual variables that contribute to individuals’creative performance.Ceative self-efficacy has also served as a critical mediating mechanism linking a variety of individual and contexual factors to people’s creative performance.However,the factors influence the relationship between creative selfefficacy and creativity have not yet been systematically investigated.In this study,the author explores potential processes that motivation moderate the relationship between creative self-efficacy and university students creativity under the effects of three dominant predictors like openness to experience,learning goal orientation and team learning behavior.
基金Tri M. Nguyen acknowledges Ho-Chi-Minh City University of Technology (HCMUT), VNU-HCM, for supporting this study.
文摘We present a machine learning approach for the inverse design of organic semiconductor materials from benzene and thiophene-based polycyclic aromatic compounds(PACs).Inverse design is an efficient approach to materials discovery that aims to design materials with preset properties.However,it is complex due to the non-uniqueness and nonlinearity of property-to-structure relationships.We demonstrate the potential of this approach through the inverse design of PACs to achieve target HOMO-LUMO gaps,a key property for organic semiconductors,ranging from 1.36 eV to 4.37 eV with an error of 0.15 eV within Density Functional Theory uncertainty.The model uses goalconditioned reinforcement learning with chemical domain knowledge,allowing addressing design goals directly.To incorporate practical aspects such as chemical accessibility,the model can include soft constraints,such as minimizing ring count to favor smaller structures.Thus,our framework addresses key inverse design challenges while allowing prioritization of more optimal or diverse candidates.
