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Incorporating Training, Self-monitoring and AI-Assistance to Improve Peer Feedback Quality

Ali Darvishi, Hassan Khosravi, Solmaz Abdi, Shazia Sadiq, Dragan Gašević
2022 Proceedings of the Ninth ACM Conference on Learning @ Scale  
To help mitigate these shortcomings, this paper presents a complementary peer review approach that integrates training, self-monitoring and AI qualitycontrol assistance to improve peer feedback quality  ...  Findings suggest that offering training, self-monitoring, and quality control functionalities to students assigned to the complementary peer review approach resulted in longer feedback that was perceived  ...  ACKNOWLEDGMENTS This research was supported partially by the Australian Government through the Australian Research Council's Industrial Transformation Training Centre for Information Resilience (CIRES)  ... 
doi:10.1145/3491140.3528265 fatcat:cgh2pnjiwba23epic6vda3ndyq

A Five-Dimensional Requirements Elicitation Framework for e-Learning Systems

Hien Minh Thi Tran, Farshid Anvari
2016 International Journal of Information and Electronics Engineering  
We incorporate the E-USABLE framework (Effectiveness, Utility, Safety, Auditability, feedBack, Learnability and Efficiency) to guide the design of questionnaires for requirements elicitation and evaluation  ...  E-learning systems and services have been increasingly used to mass train employees about the changes and to empower employees to take a more active role in the creation and dissemination of knowledge.  ...  Paul Vincent for his valued comments and Dr. Marina Harvey for her encouragement.  ... 
doi:10.18178/ijiee.2016.6.3.621 fatcat:xisvl63ppvd3jjeih3ziqcsqfe

Digital Health-Enabled Community-Centered Care (D-CCC): A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop AI [article]

Sarah M. Rodrigues, Anil Kanduri, Adeline M. Nyamathi, Nikil Dutt, Pramod P. Khargonekar, Amir M. Rahmani
2021 medRxiv   pre-print
D-CCC has the potential to transform the current landscape of manual, episodic and restricted community health worker-delivered care and services into an expanded, digitally interconnected and collaborative  ...  health workers to the communities they serve.  ...  The authors would like to also thank Arman Anzanpour for his assistance with the conceptualization and visualization of the figures.  ... 
doi:10.1101/2021.03.03.21252873 fatcat:zjev4pbylfarpmr3s6emdkegri

Mobile Apps for Helping Patient-Users: Is It Still Far-Fetched?

Charalampos Siristatidis, Abraham Pouliakis, Vasilios Karageorgiou, Paraskevi Vogiatzi
2019 Sustainability  
Emergence of health-related smartphone applications and their wide dissemination in public as well as healthcare practitioners has undergone criticism under the scope of public health.  ...  Still, despite methodological issues curbing the initial enthusiasm, availability, safety and, in certain cases, documented efficacy of these measures has secured regulatory approval.  ...  Another suggestion is to collect feedback from both professionals and regular users, for software developers to extrapolate, exchange opinion and suggest improvements.  ... 
doi:10.3390/su12010106 fatcat:q2cnksr6znfafcfn27mlj6vba4

Alignment of roles of near-peer mentors for medical students underrepresented in medicine with medical education competencies: a qualitative study

Amy Prunuske, BreAnna Houss, Anna Wirta Kosobuski
2019 BMC Medical Education  
Medical school training opportunities have traditionally focused on acquiring medical knowledge and patient care competencies while affording less opportunity to receive feedback on practice-based improvement  ...  American Indian/ Alaska Natives (AI/AN) and those from rural backgrounds, into medical school.  ...  Abbie Whitney and Melissa DeVerney helped to conduct peer mentor interviews. Jacob Prunuske provided insightful review of the manuscript.  ... 
doi:10.1186/s12909-019-1854-x pmid:31711472 pmcid:PMC6849195 fatcat:4tesvcwnrvcvzlsmhtdcpxilpq

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention

Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Zina M. Ibrahim, Oya Celikutan, Richard J. B. Dobson, Stephen McKenna, Jacqui Morris, Annalu Waller, Raed A. Abd-Alhammed (+2 others)
2019 International Joint Conference on Artificial Intelligence  
In this position paper, we suggest the solution for these issues is a model-aware and data-agnostic platform formed on the basis of a tailored self-management plan and three integral concepts -Monitoring  ...  The future of outof-hospital care requires researchers to expand their horizons; integrated assistive technologies should enable people to live their life well regardless of their chronic conditions.  ...  . the federation) to incorporate when training models.  ... 
dblp:conf/ijcai/WiratungaCMWEIC19 fatcat:wwwmilpcwvfi5ery5ptda56ijq

Expert-led and artificial intelligence (AI) system-assisted tutoring course increase confidence of Chinese medical interns on suturing and ligature skills: prospective pilot study

Ying-Ying Yang, Boaz Shulruf
2019 Journal of Educational Evaluation for Health Professions  
This pilot study demonstrated the promising effects of incorporation of additional expert-led plus AI system-assisted tutoring course into regular surgical curriculum.  ...  This study aims to improve the skill acquisition of medical interns with new interventional program.  ...  , who participated in and helped improve the course and assisted in data collection.  ... 
doi:10.3352/jeehp.2019.16.7 pmid:30986892 pmcid:PMC6517322 fatcat:eukd2md6cfdkzavb2w3lajgv7u

Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications

Farah Magrabi, Elske Ammenwerth, Jytte McNair, Nicolet De Keizer, Hannele Hyppönen, Pirkko Nykänen, Michael Rigby, Philip Scott, Tuulikki Vehko, Zoie Wong, Andrew Georgiou
2019 IMIA Yearbook of Medical Informatics  
Practical aspects of evaluating AI in healthcare, including approaches to evaluation and indicators to monitor AI are also discussed.  ...  Conclusion: Commitment to rigorous initial and ongoing evaluation will be critical to ensuring the safe and effective integration of AI in complex sociotechnical settings.  ...  Methods are thus needed to mitigate automation bias, for example by improving the interpretability of machine learning models, explaining how an AI came to a conclusion, and training clinicians to maintain  ... 
doi:10.1055/s-0039-1677903 pmid:31022752 pmcid:PMC6697499 fatcat:mcb5rdf4njeb5b673z6au5kt64

Human-Computer Interaction in Digital Mental Health

Luke Balcombe, Diego De Leo
2022 Informatics  
Digital platforms and artificial intelligence (AI) have a good potential to improve prediction, identification, coordination, and treatment by mental health care and suicide prevention services.  ...  HCI modeling may assist in the design and development of usable applications, and to effectively recognize, acknowledge, and address the inequities of mental health care and suicide prevention and assist  ...  It is important that HCI is better incorporated into technological developments for digital mental health (e.g., digital platforms and AI) resulting in higher quality, safety and usability.  ... 
doi:10.3390/informatics9010014 fatcat:2zva3cwrcjcq3irr3ra2nbxwhy

A Monographic Study of Mathematical Thinking in the Field of Early Education from the Perspective of Subject Quality

Erjing Zhang, University of California, Berkeley, US
2020 International Journal of Information and Education Technology  
In addition, the author discusses the present teaching system of mathematical thinking training in China and makes a summary from two aspects --- teaching mode and curriculum setting.  ...  On the supply side, this paper finds through statistics that after ten years of development, now mathematical thinking training institutions in the market can be divided into online and offline institutions  ...  The use of AI big data monitoring can intelligently generate a mind map and record the growth track of children via AI, to make knowledge check more pertinent and assist in classroom teaching [14] .  ... 
doi:10.18178/ijiet.2020.10.11.1467 fatcat:uhc77et4abgorcvzgiuia5v2ym

Personalized Education in the AI Era: What to Expect Next? [article]

Setareh Maghsudi, Andrew Lan, Jie Xu, Mihaela van der Schaar
2021 arXiv   pre-print
In recent years, the boost of artificial intelligence (AI) and machine learning (ML), together with the advances in big data analysis, has unfolded novel perspectives to enhance personalized education  ...  The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses her weaknesses to ultimately meet her desired goal.  ...  Similar to improving the evaluation of students, AI and ML methods, together with bid data analysis, can assist in accreditation and comparison of online portals and the issued degrees and certificates  ... 
arXiv:2101.10074v1 fatcat:l5qyvdo64navfdmfaletowjdwm

Theory-Driven Integrated Formative Feedback Design for Online Adult Learners

Chenxu Zheng, Bernard C. Y. Tan
2019 International Conference on Information Systems  
With artificially intelligence (AI) techniques, our design could scale up to fit large population and also personalize formative feedback.  ...  feedback and benefits adult learners to better engage in SDL through three key channels: cognitive; metacognitive; motivational.  ...  In this way, due to the self-improvement intention and the modeling process, with peer metacognitive feedback, learners would be able to recognize and modify their metacognitive knowledge.  ... 
dblp:conf/icis/ZhengT19 fatcat:5wpzfpgwhjbm7bfswkfjr5lpyu

Artificial Intelligence and Machine Learning: An Instructor's Exoskeleton in the Future of Education [chapter]

Stephanie E. August, Audrey Tsaima
2021 SpringerBriefs in Statistics  
This can be viewed as growing metaphorical exoskeletons for instructors, enabling them to provide a higher level of guidance, feedback, and autonomy to learners.  ...  In turn, the instructor gains time to sense student needs and support authentic learning experiences that go beyond what AI and ML can provide.  ...  This provides an opportunity to improve the quality of conversations inside and outside of the classroom, which may increase the opportunities for peer-to-peer learning.  ... 
doi:10.1007/978-3-030-58948-6_5 fatcat:hbzidzliazdk5dqaeszhw4pepq

Chatbot for Healthcare and Oncology Applications using Artificial Intelligence and Machine Learning (Preprint)

James Chow, Lu Xu
2021 JMIR Cancer  
Further research and interdisciplinary collaboration could advance this technology to dramatically improve the quality of care for patients, rebalance the workload for clinicians, and revolutionize the  ...  Therefore, chatbots have the potential to be integrated into clinical practice by working alongside health practitioners to reduce costs, refine workflow efficiencies, and improve patient outcomes.  ...  Acknowledgments This work was supported by a Canadian Institutes of Health Research Planning and Dissemination Grant-Institute Community Support under grant number CIHR PCS-168296.  ... 
doi:10.2196/27850 pmid:34847056 pmcid:PMC8669585 fatcat:tb3hjtdqtjbfpoaq3v6c4ep4fm

Rigorous evaluation of a pregnancy prevention program for American Indian youth and adolescents: study protocol for a randomized controlled trial

Lauren Tingey, Rachel Chambers, Novalene Goklish, Francene Larzelere, Angelita Lee, Rosemarie Suttle, Summer Rosenstock, Kristin Lake, Allison Barlow
2017 Trials  
The intervention includes eight lessons delivered to self-selected peer groups during a summer basketball camp and one lesson delivered to the youth and parent/trusted adult together within 3 months after  ...  The primary outcome variables are sexual/reproductive health knowledge, sexual initiation, condom use self-efficacy and intent to use a condom at next sex as changed from baseline to post-intervention  ...  Acknowledgements We respectfully acknowledge the youths, families, community members and leaders from the participating tribal community for their innovation and leadership in pioneering research strategies  ... 
doi:10.1186/s13063-017-1842-6 pmid:28241775 pmcid:PMC5330144 fatcat:ljyspusjzrai3lxoe4z3q64ynu
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