Scaling Mentoring Support with Distributed Artificial Intelligence

Klamma, Ralf; Lange, Peter de; Neumann, Alexander Tobias; Hensen, Benedikt; Kravčík, Miloš; Wang, Xia; Kužílek, Jakub

doi:10.1007/978-3-030-49663-0_6

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…Subsequently, it offers recommendations for revisiting specific study materials, functioning akin to a teacher or tutor. According to Klamma et al (2020), mentoring, in this context, is a collaborative process facilitated by AI. Winarno and Hwihanus (2023) describe the Virtual Mentor (VM) as "a multimedia integrated e-Learning environment that emphasizes interaction, personalization, and intelligence."…”

Section: Benefits Of Ai In Educationmentioning

confidence: 99%

Relationship Between Artificial Intelligence (AI) Usage and Academic Performance of Business Administration Students

Bancoro

2024

PR-IJETAS

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Artificial Intelligence, renowned for its data interpretation, learning, and task achievement capabilities, has gained popularity in various industries and academies due to enhanced efficiency and quality. This study aims to determine the extent of AI usage among students, including functionality, availability, complexity, assessment scores, course mastery, and grading metrics. It also seeks to determine if a relationship exists between AI usage and their academic performance. The study employs a quantitative approach using a correlational design. The respondents of the study are 293 Business Administration students from Negros Oriental State University Main Campus 1, Dumaguete City. The study's findings suggest that AI usage among students is moderately prevalent in terms of functionality, availability, and complexity. However, the students' academic performance was found to be above-average, with high scores on assessments, course mastery, and excellent grades. There is no significant relationship between AI use and academic performance found. In conclusion, AI tools offer personalized learning experiences, immediate feedback, and collaborative activities, but further growth and improvement are needed, including training, accessibility, research, monitoring, and best practices sharing.

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Section: Benefits Of Ai In Educationmentioning

confidence: 99%

Relationship Between Artificial Intelligence (AI) Usage and Academic Performance of Business Administration Students

Bancoro

2024

PR-IJETAS

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“…Some systems use intelligent chatbots for coaching although not for mentoring [51]. Other specific systems are built to substantiate certain aspects of mentoring [52].Think about notifications via a smart system when intervention is needed or using AI to provide just in time feedback. Even notifying both mentor and mentee about new signals concerning mental health is being explored.…”

Section: The Futurementioning

confidence: 99%

Mentoring in radiology: An asset worth exploring!

Vieira

Cabri

Spijkers

et al. 2022

European Journal of Radiology

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Residents experience high pressure to be successful in both their career and in keeping up an optimal work-life balance. With a mentoring program, faculties can alleviate stress and provide help for their residents. It is now well established that mentor-mentee relationships during medical school, have influence in career decisions and professional identity formation. The same can be said for mentor-mentee relationships during radiology residency.In general, universal rules of mentoring are also useful and applicable in the field of radiology. These universal rules for establishing a successful mentoring relationship include creating a relationship of trust and confidentiality, clearly defining roles and responsibilities, establishing short-and long-term goals, using open and supportive communication, and collaboratively solving problems.The institutions and the radiology departments should be well prepared and aware of the responsibility to have trainees, providing time for mentors to dedicate to their academic duties. They have to implement strategies to effective mentor matching and orientation as well as the ability to provide evaluation with qualitative feedback. Periodic assessment should be warranted together with the incorporation of new technology as it plays a critical role in the training of millennial radiologists as they take the profession into a technology-laden future of medical imaging.

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“…We deployed the SBF and the previously described tools in a kubernetes cluster as described in Klamma et al (2020) . Figure 1 provides a simplified view on the data flow of the system.…”

Section: Technical Basis and Architecturementioning

confidence: 99%

Chatbots as a Tool to Scale Mentoring Processes: Individually Supporting Self-Study in Higher Education

Neumann¹,

Arndt²,

Köbis³

et al. 2021

Front. Artif. Intell.

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Like most curricula in the humanities and social sciences, the curriculum of pre-service teacher training in educational sciences often includes time-consuming reading and writing tasks, which require high quality support and feedback in a timely manner. A well-known way to provide this support to students is one-to-one mentoring. However, limited time and resources in the German university context require to effectively scale the benefits of individual feedback. The use of scalable technologies to support learning processes seems to be promising, but its development usually requires a deep technical understanding. With an interdisciplinary approach, this contribution investigates how personal mentoring can be made available to as many students as possible, taking into account the didactic, organizational and technical frameworks at universities. We describe the development and implementation process of two chatbots that both aim to support students of educational sciences in their self-study of the seminar topics and literature. The chatbots were used by over 700 students during the course of 1 year and our evaluations show promising results that bear the potential to improve the availability of digital mentoring support for all students.

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Scaling Mentoring Support with Distributed Artificial Intelligence

Cited by 7 publications

References 12 publications

Relationship Between Artificial Intelligence (AI) Usage and Academic Performance of Business Administration Students

Relationship Between Artificial Intelligence (AI) Usage and Academic Performance of Business Administration Students

Mentoring in radiology: An asset worth exploring!

Chatbots as a Tool to Scale Mentoring Processes: Individually Supporting Self-Study in Higher Education

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