Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sreecharan Sankaranarayanan"'
Autor:
Carolyn Penstein Rosé, Sreecharan Sankaranarayanan, Majd Sakr, Michael Hilton, R. Charles Murray, Siddharth Reddy Kandimalla, Christopher Bogart
Publikováno v:
L@S
Computer science pedagogy has overwhelmingly favored problem-solving practice over methods of engagement like worked-out example study especially in advanced classes. This is due to the belief that while these alternative methods may improve student
Autor:
Ignacio Maronna, Michael Hilton, Haokang An, Carolyn Penstein Rosé, R. Charles Murray, Sreecharan Sankaranarayanan, Mengxin Cao, Siddharth Reddy Kandimalla, Majd Sakr, Christopher Bogart
Publikováno v:
Information and Learning Sciences
PurposeIn response to the evolving COVID-19 pandemic, many universities have transitioned to online instruction. With learning promising to be online, at least in part, for the near future, instructors may be thinking of providing online collaborativ
Autor:
Carolyn Penstein Rosé, Sreecharan Sankaranarayanan, R. Charles Murray, Majd Sakr, Sahil Hasan, Michael Hilton, Haokang An, Christopher Bogart, Siddharth Reddy Kandimalla
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030522391
AIED (2)
AIED (2)
Dynamic conversational agent-based support for collaborative learning has shown significant positive effects on learning over no-support or static-support control conditions in prior studies. In order to understand the boundary between human-led and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be4d9e5002e46b6dfbf8edc9afd375fc
https://doi.org/10.1007/978-3-030-52240-7_50
https://doi.org/10.1007/978-3-030-52240-7_50
Publikováno v:
SIGCSE
This lightning talk presents an ongoing effort investigating the use of a collaborative programming paradigm originating in industry called Mob Programming, for effective collaborative learning in the classroom. In industry, Mob Programming involves
Autor:
Carolyn Penstein Rosé, Michael Hilton, Xu Wang, Cameron Dashti, Majd Sakr, Clarence Ngoh, Marshall An, Sreecharan Sankaranarayanan
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030232061
AIED (2)
AIED (2)
This paper reports on work adapting an industry standard team practice referred to as Mob Programming into a paradigm called Online Mob Programming (OMP) for the purpose of encouraging teams to reflect on concepts and share work in the midst of their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb7673a87845868b31738b819cf73cb3
https://doi.org/10.1007/978-3-030-23207-8_47
https://doi.org/10.1007/978-3-030-23207-8_47
Autor:
Carolyn Penstein Rosé, Sreecharan Sankaranarayanan, Xu Wang, Cameron Dashti, Christopher Bogart, Majd Sakr
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319938424
AIED (1)
AIED (1)
Prior research in Team-Based Massive Open Online Project courses (TB-MOOPs) has demonstrated both the importance of effective group composition and the potential for using automated methods for forming effective teams. Past work on automated team ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df13101f535a3100d37c736d1dbb083
https://doi.org/10.1007/978-3-319-93843-1_38
https://doi.org/10.1007/978-3-319-93843-1_38
Autor:
K. Chandrasekaran, Chintan Ketankumar Doshi, Sreecharan Sankaranarayanan, Vidyashankar B. Lakshman
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9788132235903
Wireless ad hoc networks rely on the cooperation of participating nodes to undertake activities such as routing. Malicious nodes participating in the network may refuse to forward packets and instead discard them to mount a denial-of-service attack c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02108ce59940045e8218342b03b9979d
https://doi.org/10.1007/978-81-322-3592-7_21
https://doi.org/10.1007/978-81-322-3592-7_21
Publikováno v:
Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies.
Sentiment orientation data sets referred to variously as affective word lists, opinion lexicons, sentiment lexicons, emotion lexicons or sentiment dictionaries contain a list of words scored for the degree of positive and negative emotion they exhibi
Autor:
Rajat Kumar Agarwal, Avinash Paritala, Sonali Parashar, Pulkit Verma, Himani Agarwal, Shashank Arun-Gokhale, Suprajha Shibiraj, Vibhor Sehgal, Sukanya Venkataraman, Atif Ahmed, Harsh Parikh, Sharad Goel, Ashrith Sheshan, Rahul Phatak, Chiraag Sumanth, Aditya Singh, Bhargav Hs, Mandar Pradhan, Shashank Joshi, Vidit Mathur, Krishna Sangeeth, Akshansh Maharaja, Aayush Attri, Mayank Pahadia, Deepak Garg, Ishan Yelurwar, Alok Mysore, Imanol Arrieta Ibarra, Sandeep Konam, Siddharth Jain, Sreecharan Sankaranarayanan, Arvind Srikantan, Mani Shankar, Sameeksha Khillan, Paras Gupta, Venkata Neehar-Kurukunda, Naman Gupta, Sahil Loomba, Pushkin Soni, Ramesh Arvind, Tarun Khajuria, Abhilasha Ravichander, Prashant Sinha, Glincy Mary Jacob, Bipin Thomas, Vikas S. Yaligar, Mohammed Nawazish, Sai Anirudh-Kondaveeti, Camelia Simoiu, Anjali Singh, Rachit Madan, Sharath Dharmaji, Arpita Chandra, Tushar Dobha, Venkat Nirmal-Gavarraju, Kasyap Varma-Dattada, Praveen Kumar-Kolla, Amit Patil, Bharat Munshi, Yogitha Chilukur
Publikováno v:
UIST (Adjunct Volume)
In a variety of problem domains, it has been observed that the aggregate opinions of groups are often more accurate than those of the constituent individuals, a phenomenon that has been termed the "wisdom of the crowd." Yet, perhaps surprisingly, the
Publikováno v:
2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).
Karnatic Music (KM) is distinct because of the prevalence of gamaka — embellishments to musical notes in the form of frequency traversals. Another important aspect of KM is that the performance style is mostly extempore. Hence, Music Information Re