Mohammad Khalil
Dados Biográficos
| ID | 9493535 |
|---|---|
| NOME | Mohammad Khalil |
| PRENOMES | Mohammad |
| SOBRENOME | Khalil |
| ASSINATURA | KHALIL M |
| AFILIAÇÕES | University of Bergen |
| ORCID | 0000-0002-6860-4404 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 17 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 17 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1963 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Student engagement profiles in a mobile app
Engaging in independent learning during self-study time is an essential part of learning in higher education. The ubiquity of mobile devices and their applications offer students a flexible, on-the-go learning experience. However, flexible learning environments require students to self-regulate their learning. The current study examined student engagement with a mobile study app intended for students to engage in retrieval practice with feedback …
Professional learning communities in secondary schools and improvement of learning in challenging contexts
Ensuring learning for all and by all in urban schools is a major challenge. It is therefore necessary to rethink schools and teacher performance to respond adequately to these challenges, especially in secondary education. In this respect, the extended professional learning communities model may be a viable alternative. This article presents data from the study of three secondary schools working to improve their educational outcomes. We adopt a c…
Technology-enhanced Learning and Learning Analytics for personalized STEM learning
A comprehensive analysis of Technology-Enhanced Learning (TEL) approaches combined with Learning Analytics (LA) actually delivers measurable improvements in STEM learning outcomes. • While personalized approaches have gained prominence in education, their specific application and intervention in STEM contexts lacks systematic evaluation. • Intelligent Tutoring Systems (ITS) are widely used Adaptive Learning Platforms in K—12 mathematics, while Vi…
Assessing student perceptions and use of instructor versus AI ‐generated feedback
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI‐generated feedback compared to instructor feedback in authentic settings. To address this gap, this study compared instructor and AI‐generated feedback in a Java programming course through an experimental research design where students were randomly assigned to either condition. Both feedback …
AI for data generation in education
Supporting learning and teaching at scale requires access to large and high‐quality content and datasets for analysis and innovation. With rapid advances in artificial intelligence (AI) and the growing demand for data, synthetic data has emerged as a potential solution for addressing these challenges. This editorial introduces the contributions of five accepted articles to the special section AI for Synthetic Data Generation in Education: Scaling…
Ensuring privacy through synthetic data generation in education
High‐volume, high‐quality and diverse datasets are crucial for advancing research in the education field. However, such datasets often contain sensitive information that poses significant privacy challenges. Traditional anonymisation techniques fail to meet the privacy standards required by regulations like GDPR, prompting the need for more robust solutions. Synthetic data have emerged as a promising privacy‐preserving approach, allowing for the …
Factors influencing human papillomavirus vaccine uptake among parents and teachers of schoolgirls in Saudi Arabia
Introduction: Cervical cancer is a highly prevalent disease among women worldwide. However, the advent of a vaccine against HPV, the main cause of the disease, has prevented its spread. The acceptability of the HPV vaccine to different sectors of the Saudi community has yet to be clarified. Since parents and teachers are major influencers in the decision-making process of vaccination for HPV, this study aimed to assess the knowledge and attitudes…
Adaptive support for self‐regulated learning in digital learning environments
A core focus of self‐regulated learning (SRL) research lies in uncovering methods to empower learners within digital learning environments. As digital technologies continue to evolve during the current hype of artificial intelligence (AI) in education, the theoretical, empirical and methodological nuances to support SRL are emerging and offering new ways for adaptive support and guidance for learners. Such affordances offer a unique opportunity f…
Assessing disparities in medical students’ knowledge and attitude about monkeypox
Background and aims: The recent monkeypox (Mpox) outbreak confirmed by the World Health Organization (WHO) underscores the importance of evaluating the knowledge and attitude of medical students toward emerging diseases, given their potential roles as healthcare professionals and sources of public information during outbreaks. This study aimed to assess medical students' knowledge and attitude about Mpox and to identify factors affecting their le…
Model-Based Learning Analytics for a Partnership of Teachers and Intelligent Systems
This paper presents a bibliometric systematic review on model-based learning analytics (MbLA), which enable coupling between teachers and intelligent systems to support the learning process. This is achieved through systems that make their models of student learning and instruction transparent to teachers. We use bibliometric network analysis and topic modelling to explore the synergies between the related research groups and the main research to…
At the intersection of human and algorithmic decision-making in distributed learning
This article seeks to explore different combinations of human and Artificial Intelligence (AI) decision-making in the context of distributed learning. Distributed learning institutions face specific challenges such as high levels of student attrition and ensuring quality, cost-effective student support at scale using a range of technologies, such as AI. While there is an expanding body of research on AI in education (AIEd), this conceptual articl…
Towards a partnership of teachers and intelligent learning technology
Understanding privacy and data protection issues in learning analytics using a systematic review
Multimodal learning analytics—In‐between student privacy and encroachment
In the nexus of integrity and surveillance
The answer is (not only) technological
Evidence shows that appropriate use of technology in education has the potential to increase the effectiveness of, eg, teaching, learning and student support. There is also evidence that technology can introduce new problems and ethical issues, eg, student privacy. This article maps some limitations of technological approaches that ensure student data privacy in learning analytics from a critical data studies (CDS) perspective. In this conceptual…
Sudan
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Sudan
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
In the nexus of integrity and surveillance
The answer is (not only) technological
Evidence shows that appropriate use of technology in education has the potential to increase the effectiveness of, eg, teaching, learning and student support. There is also evidence that technology can introduce new problems and ethical issues, eg, student privacy. This article maps some limitations of technological approaches that ensure student data privacy in learning analytics from a critical data studies (CDS) perspective. In this conceptual…
Assessing disparities in medical students’ knowledge and attitude about monkeypox
Background and aims: The recent monkeypox (Mpox) outbreak confirmed by the World Health Organization (WHO) underscores the importance of evaluating the knowledge and attitude of medical students toward emerging diseases, given their potential roles as healthcare professionals and sources of public information during outbreaks. This study aimed to assess medical students' knowledge and attitude about Mpox and to identify factors affecting their le…
Model-Based Learning Analytics for a Partnership of Teachers and Intelligent Systems
This paper presents a bibliometric systematic review on model-based learning analytics (MbLA), which enable coupling between teachers and intelligent systems to support the learning process. This is achieved through systems that make their models of student learning and instruction transparent to teachers. We use bibliometric network analysis and topic modelling to explore the synergies between the related research groups and the main research to…
At the intersection of human and algorithmic decision-making in distributed learning
This article seeks to explore different combinations of human and Artificial Intelligence (AI) decision-making in the context of distributed learning. Distributed learning institutions face specific challenges such as high levels of student attrition and ensuring quality, cost-effective student support at scale using a range of technologies, such as AI. While there is an expanding body of research on AI in education (AIEd), this conceptual articl…
Towards a partnership of teachers and intelligent learning technology
Understanding privacy and data protection issues in learning analytics using a systematic review
Multimodal learning analytics—In‐between student privacy and encroachment
Factors influencing human papillomavirus vaccine uptake among parents and teachers of schoolgirls in Saudi Arabia
Introduction: Cervical cancer is a highly prevalent disease among women worldwide. However, the advent of a vaccine against HPV, the main cause of the disease, has prevented its spread. The acceptability of the HPV vaccine to different sectors of the Saudi community has yet to be clarified. Since parents and teachers are major influencers in the decision-making process of vaccination for HPV, this study aimed to assess the knowledge and attitudes…
Adaptive support for self‐regulated learning in digital learning environments
A core focus of self‐regulated learning (SRL) research lies in uncovering methods to empower learners within digital learning environments. As digital technologies continue to evolve during the current hype of artificial intelligence (AI) in education, the theoretical, empirical and methodological nuances to support SRL are emerging and offering new ways for adaptive support and guidance for learners. Such affordances offer a unique opportunity f…
Professional learning communities in secondary schools and improvement of learning in challenging contexts
Ensuring learning for all and by all in urban schools is a major challenge. It is therefore necessary to rethink schools and teacher performance to respond adequately to these challenges, especially in secondary education. In this respect, the extended professional learning communities model may be a viable alternative. This article presents data from the study of three secondary schools working to improve their educational outcomes. We adopt a c…
Technology-enhanced Learning and Learning Analytics for personalized STEM learning
A comprehensive analysis of Technology-Enhanced Learning (TEL) approaches combined with Learning Analytics (LA) actually delivers measurable improvements in STEM learning outcomes. • While personalized approaches have gained prominence in education, their specific application and intervention in STEM contexts lacks systematic evaluation. • Intelligent Tutoring Systems (ITS) are widely used Adaptive Learning Platforms in K—12 mathematics, while Vi…
Assessing student perceptions and use of instructor versus AI ‐generated feedback
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI‐generated feedback compared to instructor feedback in authentic settings. To address this gap, this study compared instructor and AI‐generated feedback in a Java programming course through an experimental research design where students were randomly assigned to either condition. Both feedback …
AI for data generation in education
Supporting learning and teaching at scale requires access to large and high‐quality content and datasets for analysis and innovation. With rapid advances in artificial intelligence (AI) and the growing demand for data, synthetic data has emerged as a potential solution for addressing these challenges. This editorial introduces the contributions of five accepted articles to the special section AI for Synthetic Data Generation in Education: Scaling…
Ensuring privacy through synthetic data generation in education
High‐volume, high‐quality and diverse datasets are crucial for advancing research in the education field. However, such datasets often contain sensitive information that poses significant privacy challenges. Traditional anonymisation techniques fail to meet the privacy standards required by regulations like GDPR, prompting the need for more robust solutions. Synthetic data have emerged as a promising privacy‐preserving approach, allowing for the …
Student engagement profiles in a mobile app
Engaging in independent learning during self-study time is an essential part of learning in higher education. The ubiquity of mobile devices and their applications offer students a flexible, on-the-go learning experience. However, flexible learning environments require students to self-regulate their learning. The current study examined student engagement with a mobile study app intended for students to engage in retrieval practice with feedback …
Computer Science (10 obras) · Psychology (9 obras) · Mathematics education (7 obras) · Online Learning and Analytics (7 obras) · Educational technology (6 obras) · Knowledge management (6 obras) · Analytics (5 obras) · Innovative Teaching and Learning Methods (5 obras) · Learning analytics (5 obras) · Data science (4 obras)