Article
Computer Science, Interdisciplinary Applications
Aciang Iku-Silan, Gwo-Jen Hwang, Chih-Hung Chen
Summary: This study aimed to develop a decision-guided chatbot for interdisciplinary learning and investigate its effects on learning achievements, motivation, collective efficacy, engagement, satisfaction, and cognitive load. The results showed that the experimental group using the chatbot outperformed the control group in various aspects. Analytical learners had higher achievements, cognitive engagement, and lower mental load. However, both analytical and intuitive learners in the experimental group perceived higher mental load compared to the control group.
COMPUTERS & EDUCATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Matthijs Smakman, Paul Vogt, Elly A. Konijn
Summary: The study identified and compared the moral considerations associated with the introduction of social robots in primary education from the perspective of direct and indirect stakeholders. While there were some conflicting views on certain issues, teachers, parents, and policymakers shared many similarities in their considerations, indicating a potential for alignment on the responsible introduction of social robots in education.
COMPUTERS & EDUCATION
(2021)
Article
Neurosciences
Gan Huang, Zhenxing Hu, Weize Chen, Shaorong Zhang, Zhen Liang, Linling Li, Li Zhang, Zhiguo Zhang
Summary: EEG signals exhibit commonality and variability across subjects, sessions, and tasks. This study introduces an EEG-based biometric competition based on a large-scale M3CV database to promote the development of machine learning algorithms and achieve a better understanding of the commonality and variability of EEG signals.
Article
Computer Science, Artificial Intelligence
Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song
Summary: EEG signals have been widely used for emotion recognition, but the inter-subject variability remains a challenge. In this study, we proposed a contrastive learning method called CLISA to address cross-subject emotion recognition problem. The experimental results showed that CLISA achieved state-of-the-art performance on different datasets and could generalize to unseen subjects and stimuli.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Onur Donmez, Yavuz Akbulut
Summary: Empirical studies suggest that multitasking is associated with negative learning outcomes, as found in this experiment where the control group outperformed the multitasking groups. These findings may guide future research on multitasking performance and interactive video design in online learning environments.
COMPUTERS & EDUCATION
(2021)
Article
Development Studies
Marzena Podgorska, Iwona Zdonek
Summary: This article investigates how project-based learning innovations in student education affect the achievement of sustainable development goals. The study examines project teams in a leading technology university in Poland to analyze their contribution to sustainable development goals and the level of interdisciplinarity within the teams. The findings show that different disciplines prioritize different sustainable development goals, with the most commonly pursued goals being industry innovation, good health and well-being, and responsible production and construction. The study also reveals that the second type of interdisciplinarity, which involves experts from two research areas, is the most common within the teams.
SUSTAINABLE DEVELOPMENT
(2023)
Article
Education & Educational Research
Greeni Maheshwari
Summary: This study investigates the factors influencing students' intentions to adopt and utilize ChatGPT for their academic studies. The findings show that students' adoption intention is influenced by the user-friendliness of ChatGPT, while the perceived usefulness has an indirect impact through personalization and interactivity. This study provides valuable insights into the adoption of ChatGPT in an Asian context.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Chemistry, Analytical
Victor Juan Fuentes-Martinez, Samuel Romero, Miguel Angel Lopez-Gordo, Jesus Minguillon, Manuel Rodriguez-Alvarez
Summary: The level of student attention in class has a significant impact on their academic performance. A new platform based on EEG has been developed to objectively assess student attention and estimate their academic performance. The platform provides valuable feedback to teachers, enhancing the effectiveness of both face-to-face and online teaching and learning environments.
Article
Computer Science, Interdisciplinary Applications
Natalie L. Shaheen
Summary: Over 7 million disabled students attend K-12 schools in the U.S., but they often lack equitable access to learning due to technological limitations. To address this, Local Education Agencies (LEAs) need to enact technology accessibility policies. However, little is known about how LEAs in the U.S. are implementing these policies. This study examined five LEAs and proposed a theory explaining the process of policy enactment.
COMPUTERS & EDUCATION
(2022)
Review
Computer Science, Interdisciplinary Applications
Laduona Dai, Merel M. Jung, Marie Postma, Max M. Louwerse
Summary: Technological advancements have allowed researchers to develop increasingly human-like agents for educational purposes, but the extent to which agent design features contribute to effective learning experiences remains inconclusive. This systematic review examines pedagogical agent research conducted from 2010 to 2021, focusing on experimental design and instrumentation. The review highlights shortcomings in the field, such as limited attention to the human-likeness of agents and underrepresentation of the K12 population. It also notes the underutilization of pedagogical agents in virtual reality environments despite their potential for promoting learning.
COMPUTERS & EDUCATION
(2022)
Article
Education & Educational Research
Jen Chun Wang, Chia-Yen Hsieh, Shih-Hao Kung
Summary: This study investigated the effects of smartphone use on the perceived academic performance of elementary school students. The results showed that smartphone behavior significantly impacts academic performance and highlights the potential inequality in learning opportunities. Fewer smartphone access opportunities may adversely affect learning effectiveness and academic performance.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Social Issues
Raquel Lozano-Blasco, Alberto Quilez-Robres, Diego Delgado-Bujedo, Ma Pilar Latorre-Martinez
Summary: This study found that during the COVID-19 lockdown, the growth in the use of YouTube channels was related to the evolution of government policies, but did not lead to an increase in educational content.
TECHNOLOGY IN SOCIETY
(2021)
Article
Mathematics
Elizabeth Martinez-Villarraga, Isabel Lopez-Cobo, David Becerra-Alonso, Francisco Fernandez-Navarro
Summary: The study aimed to characterize the process of constructing mathematical knowledge by higher education students in a Colombian university's distance learning course. Students acquired different types of mathematical knowledge, with learning strategies often being superficial and showing a passive approach to learning despite high respect towards educators.
Article
Education & Educational Research
Fezile Ozdamli, Nadire Cavus
Summary: This study found that Computer Information Systems department students generally use knowledge sharing technologies and prefer to utilize the opportunities provided by technology for knowledge sharing. This finding provides insights for future improvements in classroom knowledge sharing environments and strategy development.
EDUCATION AND INFORMATION TECHNOLOGIES
(2021)
Article
Psychology, Multidisciplinary
Tsung-Chih Hsiao, Ya-Hsueh Chuang, Tzer-Long Chen, Chien-Yun Chang, Chih-Cheng Chen
Summary: Modern education values interdisciplinary skills, with computational thinking being a key element. A research study tests children's development in computational thinking and fluency, aiding them in overcoming coding apprehension. Peer reviews provide learning opportunities and feedback for teachers. The study analyzes data from freshmen in a programming class using experimental design and a review system, revealing improved learning performance and a gap between peer review scores and teacher evaluations. Learning feedback and evaluation are essential for a sustainable education cycle.
FRONTIERS IN PSYCHOLOGY
(2022)
Proceedings Paper
Multidisciplinary Sciences
Mohamed Jalaldeen Mohamed Razi, Nor Shahriza Abdul Karim, Norshidah Mohamed
ADVANCED SCIENCE LETTERS
(2015)
Article
Computer Science, Information Systems
Nor Shahriza Abdul Karim, Arwa Albuolayan, Tanzila Saba, Amjad Rehman
SECURITY AND COMMUNICATION NETWORKS
(2016)
Article
Education & Educational Research
Ahmed I. Albarrak, Nasriah Zakaria, Jwaher Almulhem, Samina A. Khan, Norshahriza Abdul Karim
Summary: This study aimed to assess students' perceptions towards blended and modified team-based learning at King Saud University's College of Medicine. Results showed that most students believed team interactions facilitated discussions and asking questions freely, while working in groups aided their learning process.
BMC MEDICAL EDUCATION
(2021)
Article
Management
Nor Shahriza Abdul Karim, Naser Valaei
INTERNATIONAL JOURNAL OF KNOWLEDGE MANAGEMENT STUDIES
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Eman Alarfaj, Hissah Alabdullatif, Huda Alabdullatif, Ghazal Albakri, Nor Shahriza Abdul Karim
INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 1
(2019)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Nor Shahriza Abdul Karim, Fanda Al Ammar, Romana Aziz
2017 INTERNATIONAL CONFERENCE ON COMPUTER AND APPLICATIONS (ICCA)
(2017)
Proceedings Paper
Multidisciplinary Sciences
Mohamed Jalaldeen Mohamed Razi, Nor Shahriza Abdul Karim, Abdul Rahman Ahmad Dahlan, Noor Azian Mohamad Ali
ADVANCED SCIENCE LETTERS
(2017)
Article
Computer Science, Information Systems
Hanan M. Alghamdi, Ali Selamat, Nor Shahriza Abdul Karim
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2014)
Article
Information Science & Library Science
Hanan M. Alghamdi, Ali Selamat, Nor Shahriza Abdul Karim
JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT
(2014)
Proceedings Paper
Computer Science, Theory & Methods
Mohamed Jalaldeen Mohamed Razi, Nor Shahriza Abdul Karim, Norshidah Mohamed
2012 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT)
(2012)
Proceedings Paper
Economics
Norsaremah Salleh, Ramlah Hussein, Norshidah Mohamed, Nor Shahriza Abdul Karim, Abdul Rahman Ahlan, Umar Aditiawarman
INNOVATION AND SUSTAINABLE COMPETITIVE ADVANTAGE: FROM REGIONAL DEVELOPMENT TO WORLD ECONOMIES, VOLS 1-5
(2012)
Article
Information Science & Library Science
Nor Shahriza Abdul Karim, Ramlah Hussein
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2008)
Article
Business
Nor Shahriza Abdul Karim, Mohamed Jalaldeen Mohamed Razi, Norshidah Mohamed
BUSINESS PROCESS MANAGEMENT JOURNAL
(2012)
Article
Business
Ramlah Hussein, Nor Shahriza Abdul Karim, Mohd Hasan Selamat
BUSINESS PROCESS MANAGEMENT JOURNAL
(2007)
Article
Computer Science, Interdisciplinary Applications
Elise Ameloot, Tijs Rotsaert, Thomas Ameloot, Bart Rienties, Tammy Schellens
Summary: This study investigates the impact of using learning analytics to support students' autonomy and competence needs in a blended learning environment. The findings show that teachers' adaptation based on learning analytics positively influences students' satisfaction with the adapted learning environment. However, students' basic psychological needs vary depending on the face-to-face workshop subject. The study emphasizes the importance of thoughtful blended learning course design and provides recommendations for effective learning analytics utilization in university settings.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Tzu-Chi Yang, Zhi-Shen Lin
Summary: Computational thinking is essential in the current era and learning programming is the most effective way to develop it. Introducing computational thinking and programming at an early age is recommended. Graphic organizers serve as a bridge between students' existing knowledge and new learning, enhancing their learning process. The study found that using graphic organizers improved elementary school students' computational thinking, programming skills, and learning experiences.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yuqin Yang, Kaicheng Yuan, Gaoxia Zhu, Lizhen Jiao
Summary: The study finds that the design of collaborative analytics-enhanced reflective assessment can promote conducive epistemic emotions to knowledge building among undergraduates, and enriches our understanding of the relationships between metacognition, epistemic emotions, and knowledge building practices.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Vishal Kiran Kuvar, Jeremy N. Bailenson, Caitlin Mills
Summary: Recent research suggests that students' minds often wander off-task during learning, regardless of the learning modality. This study explores the potential of virtual reality (VR) to reduce task-unrelated thoughts (TUT) and finds that learning with VR leads to lower TUT and better performance.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Yiming Liu, Jeremy Tzi Dong Ng, Xiao Hu, Zhengyang Ma, Xiaoyan Lai
Summary: This study examines teachers' usage intention and behavior towards the Game Learning Analytics (GLA) system in K-12 classrooms. The study found that personal, environmental, and technological factors influenced teachers' intention and behavior, and that technostress moderated the intention-behavior relationship. The study also identified the heterogeneity of GLA usage among teachers with different individual characteristics.
COMPUTERS & EDUCATION
(2024)
Article
Computer Science, Interdisciplinary Applications
Romina Cachia, Artur Pokropek, Nikoleta Giannoutsou
Summary: This article introduces a shortened version of the European Commission's SELFIE tool for measuring the digital capacity of schools. Two shorter measurement instruments, called midi-SELFIE and mini-SELFIE, are proposed based on the original tool. The validity and uses of these shortened versions are explored through various cases and compared to the complete instrument. The results suggest that the shortened versions of SELFIE are reliable alternatives for specific purposes.
COMPUTERS & EDUCATION
(2024)