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Attachment and Biobehavioral Catch‐up (ABC) is a parenting program developed to enhance sensitivity among parents of infants who experience early adversity. In several randomized clinical trials, the intervention's efficacy has been demonstrated. Moving interventions into the community with adequate fidelity is challenging, though, and intervention effects are often much smaller than when tested in randomized clinical trials. To enhance the likelihood that ABC is delivered with high fidelity, a microanalytic fidelity assessment was developed. Using this fidelity tool as a central component of training, supervision, and certification, changes in parent sensitivity for 108 families with children ages 6 months to 2 years were as large as those seen in laboratory settings. These findings are discussed with regard to implications for moving other evidence‐based interventions into the community. 相似文献
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O. P. Kuznetsov 《Scientific and Technical Information Processing》2013,40(5):269-276
This paper discusses the basic concepts of cognitive semantics that were described in [14]. These use the thesis that human cognitive structures and mechanisms substantially depend on sensory mechanisms, as well as physical and social experience. The possibilities of the application of these concepts for solving the problems of artificial intelligence are considered. 相似文献
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Understanding what constitutes the perceived value of foreign education to international business students is critical for business schools in order to achieve their recruitment targets. One established method relies on a financial interpretation of the costs and benefits of business education. By contrast, this study advocates a holistic approach by employing the concept of “internal” and “external” career success as its theoretical underpinning. A survey of undergraduate Chinese students in two British business schools based on such approach provides confirmation of the importance of an individual's judgement of own success as the foundation of value‐related expectations and suggests that academic practice should be concerned with a wider range of competencies and responses to individual attitudes, shifting emphasis towards a greater spectrum of social values. 相似文献
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O. P. Kuznetsov 《Scientific and Technical Information Processing》2015,42(5):307-312
The basic provisions of conceptual semantics that were proposed by the well-known linguist S. Pinker are discussed in this paper. As well as other concepts of cognitive semantics, this concept emphasizes the fundamental role of human physical in the formation of cognitive processes. One important thesis of S. Pinker is the assertion of the existence of a language of thought, which serves to represent word meanings in the mind and is primary in nature relationship to verbal language. 相似文献
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I.M. Boiko N.V. Kuznetsov R.N. Mokaev E.D. Akimova 《Journal of The Franklin Institute》2021,358(1):363-383
Asymmetric self-excited periodic motions or periodic solutions which are produced by relay feedback systems that have symmetric characteristics are studied in the paper. Two different mechanisms of producing an asymmetric oscillation by a system with symmetric properties are noted and analyzed by the locus of a perturbed relay system (LPRS) method. Bifurcation between the ability to excite symmetric and asymmetric oscillation with variation of system parameters is analyzed. An algorithm of finding asymmetric solutions is proposed. 相似文献
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Elisabeth Bauer Martin Greisel Ilia Kuznetsov Markus Berndt Ingo Kollar Markus Dresel Martin R. Fischer Frank Fischer 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(5):1222-1245
Advancements in artificial intelligence are rapidly increasing. The new-generation large language models, such as ChatGPT and GPT-4, bear the potential to transform educational approaches, such as peer-feedback. To investigate peer-feedback at the intersection of natural language processing (NLP) and educational research, this paper suggests a cross-disciplinary framework that aims to facilitate the development of NLP-based adaptive measures for supporting peer-feedback processes in digital learning environments. To conceptualize this process, we introduce a peer-feedback process model, which describes learners' activities and textual products. Further, we introduce a terminological and procedural scheme that facilitates systematically deriving measures to foster the peer-feedback process and how NLP may enhance the adaptivity of such learning support. Building on prior research on education and NLP, we apply this scheme to all learner activities of the peer-feedback process model to exemplify a range of NLP-based adaptive support measures. We also discuss the current challenges and suggest directions for future cross-disciplinary research on the effectiveness and other dimensions of NLP-based adaptive support for peer-feedback. Building on our suggested framework, future research and collaborations at the intersection of education and NLP can innovate peer-feedback in digital learning environments.
Practitioner notes
What is already known about this topic- There is considerable research in educational science on peer-feedback processes.
- Natural language processing facilitates the analysis of students' textual data.
- There is a lack of systematic orientation regarding which NLP techniques can be applied to which data to effectively support the peer-feedback process.
- A comprehensive overview model that describes the relevant activities and products in the peer-feedback process.
- A terminological and procedural scheme for designing NLP-based adaptive support measures.
- An application of this scheme to the peer-feedback process results in exemplifying the use cases of how NLP may be employed to support each learner activity during peer-feedback.
- To boost the effectiveness of their peer-feedback scenarios, instructors and instructional designers should identify relevant leverage points, corresponding support measures, adaptation targets and automation goals based on theory and empirical findings.
- Management and IT departments of higher education institutions should strive to provide digital tools based on modern NLP models and integrate them into the respective learning management systems; those tools should help in translating the automation goals requested by their instructors into prediction targets, take relevant data as input and allow for evaluating the predictions.
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