Search Results - "Hasnine, Mohammad Nehal"

UNDERSTANDING LEARNERS' PERCEPTIONS ON A GENERATIVE AI-ENABLE SYSTEM IN PERSONALIZED CONTEXTUAL VOCABULARY LEARNING.

Authors: Hasnine, Mohammad Nehal Yamada, Mirai Ueda, Hiroshi et al.

Source: International Conference on e-Learning. 2025, p137-144. 8p.

A Real-Time Learning Analytics Dashboard for Automatic Detection of Online Learners' Affective States.

Authors: Hasnine, Mohammad Nehal Nguyen, Ho Tan Tran, Thuy Thi Thu et al.

Source: Sensors (14248220). May2023, Vol. 23 Issue 9, p4243. 15p.

An Intelligent Ubiquitous Learning Environment and Analytics on Images for Contextual Factors Analysis.

Authors: Hasnine, Mohammad Nehal Akçapınar, Gökhan Mouri, Kousuke et al.

Source: Applied Sciences (2076-3417); Dec2020, Vol. 10 Issue 24, p8996, 18p

HOW CAN GENERATIVE AI BE ADAPTED FOR LEARNING CONTEXT SUPPORT IN CONTEXTUAL VOCABULARY ACQUISITION?

Authors: Hasnine, Mohammad Nehal Yamada, Mirai Akçapınar, Gökhan

Source: Proceedings of the IADIS International Conference on Cognition & Exploratory Learning in Digital Age. 2024, p371-374. 4p.

Subject Terms: *Artificial intelligence, *Vocabulary, *Educational technology, *Educational innovations, ChatGPT

Learner-Centric Technologies to Support Active Learning Activity Design in New Education Normal: Exploring the Disadvantageous Educational Contexts.

Authors: Hasnine, Mohammad Nehal Ahmed, Mahmoud Mohamed Hussien Hiroshi Ueda

Source: International Journal of Emerging Technologies in Learning. 2021, Vol. 16 Issue 10, p150-162. 13p.

Subject Terms: *Active learning, *Design education, *Learning strategies, *Educational technology, *Teaching methods, Pandemics

Unfolding Students' Online Assignment Submission Behavioral Patterns using Temporal Learning Analytics.

Authors: Kokoç, Mehmet Akçapınar, Gökhan Hasnine, Mohammad Nehal

Source: Educational Technology & Society. Jan2021, Vol. 24 Issue 1, p223-235. 13p.

Subject Terms: *At-risk students, *School failure, *Student assignments, *Learning analytics, Association rule mining, Markov processes