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Social skills training targets behaviors necessary for success in social interactions. However, traditional classroom training for such skills is often insufficient to teach effective communication -- one-to-one interaction in real-world…

Machine Teaching (MT) is an interactive process where humans train a machine learning model by playing the role of a teacher. The process of designing an MT system involves decisions that can impact both efficiency of human teachers and…

Artificial Intelligence · Computer Science 2022-04-25 Karan Taneja , Harshvardhan Sikka , Ashok Goel

This paper is based on the study of existing literature, highlights the current state of the work proposed to implement technically enhanced learning. Technology developments and network infrastructure improvements, specifically the world…

Computers and Society · Computer Science 2014-02-12 J. M. Sneha , G. S. Nagaraja

Lifelong learning or continual learning is the problem of training an AI agent continuously while also preventing it from forgetting its previously acquired knowledge. Streaming lifelong learning is a challenging setting of lifelong…

Machine Learning · Computer Science 2024-02-20 Soumya Banerjee , Vinay K. Verma , Avideep Mukherjee , Deepak Gupta , Vinay P. Namboodiri , Piyush Rai

In-person instruction for professional development or other types of workplace training provides a social environment and immediate feedback mechanisms that typically ensure all participants are successful. Online, self-paced instruction…

Computers and Society · Computer Science 2020-09-01 Beth Porter , Burcin Bozkaya

Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine towards accomplishing the task of interest. The learning…

One-on-one help from a teacher is highly impactful for students, yet extremely challenging to support in massive online courses (MOOCs). In this work, we present TeachNow: a novel system that lets volunteer teachers from anywhere in the…

Computers and Society · Computer Science 2024-04-19 Ali Malik , Juliette Woodrow , Chao Wang , Chris Piech

While Large Language Models (LLMs) are often used as virtual tutors in computer science (CS) education, this approach can foster passive learning and over-reliance. This paper presents a novel pedagogical paradigm that inverts this model:…

Computers and Society · Computer Science 2025-08-11 Xinming Yang , Haasil Pujara , Jun Li

The recent development of science education leads educators to explore new teaching and learning methodologies and restructure classes and assignments to bring students' knowledge to the highest level of education by allowing learners to…

Physics Education · Physics 2023-07-24 Kalani Hettiarachchilagea , Neel Haldolaarachchige

The virtual learning in University Education is the learning which is presented by set of integrated information and pedagogical technologies, in a process of interaction between subjects and objects as the virtual educational resources.…

Computers and Society · Computer Science 2013-04-02 Kerimbayev Nurassyl

Over the last decade, e-learning has revolutionized how students learn by providing them access to quality education whenever and wherever they want. However, students often get distracted because of various reasons, which affect the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-30 Rahul RK , Shanthakumar S , Vykunth P , Sairamnath K

We present a novel intelligent tutoring system which builds upon well-established hypotheses in educational psychology and incorporates them inside of a scalable software architecture. Specifically, we build upon the known benefits of…

Computers and Society · Computer Science 2020-12-01 Bhairav Mehta , Adithya Ramanathan

The advancement of e-learning technologies has made it viable for developments in education and technology to be combined in order to fulfil educational needs worldwide. E-learning consists of informal learning approaches and emerging…

Computers and Society · Computer Science 2014-07-10 Ali Alowayr , Atta Badii

Teaching plays a very important role in our society, by spreading human knowledge and educating our next generations. A good teacher will select appropriate teaching materials, impact suitable methodologies, and set up targeted…

Machine Learning · Computer Science 2018-05-11 Yang Fan , Fei Tian , Tao Qin , Xiang-Yang Li , Tie-Yan Liu

The aim of the work presented in this paper is to develop and evaluate an integrated system that provides automated lecture style evaluation, allowing teachers to get instant feedback related to the goodness of their lecturing style. The…

Computers and Society · Computer Science 2023-12-29 Eleni Dimitriadou , Andreas Lanitis

Asking questions is one of the most crucial pedagogical techniques used by teachers in class. It not only offers open-ended discussions between teachers and students to exchange ideas but also provokes deeper student thought and critical…

Computation and Language · Computer Science 2020-05-19 Gale Yan Huang , Jiahao Chen , Haochen Liu , Weiping Fu , Wenbiao Ding , Jiliang Tang , Songfan Yang , Guoliang Li , Zitao Liu

This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated…

Artificial Intelligence · Computer Science 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu

Information Technology (IT) has had a number of positive impacts in various fields. In the world of education, IT provides its own style with various modes that may be used. Modern education in the era of globalization and based on…

Computers and Society · Computer Science 2021-07-30 Leon A. Abdillah

In this paper, we consider the problem of machine teaching, the inverse problem of machine learning. Different from traditional machine teaching which views the learners as batch algorithms, we study a new paradigm where the learner uses an…

Machine Learning · Statistics 2017-11-21 Weiyang Liu , Bo Dai , Ahmad Humayun , Charlene Tay , Chen Yu , Linda B. Smith , James M. Rehg , Le Song