Andy Nguyen
Biographic Data
| ID | 3942196 |
|---|---|
| NAME | Andy Nguyen |
| GIVEN NAMES | Andy |
| FAMILY NAME | Nguyen |
| SIGNATURE | NGUYEN A |
| AFFILIATIONS | University of Oulu |
| ORCID | 0000-0002-0759-9656 |
| VERIFIED | Yes |
| TOTAL WORKS | 24 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 24 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
How gaze and proxemics shape and signal shared regulatory processes during AI-supported collaborative learning
Understanding how groups regulate their learning together requires more attention to the verbal and nonverbal cues that shape collaborative activity. This study investigates how gaze and proxemics share and signal socially shared regulation of learning during a classroom-based collaborative inquiry task. In their natural classroom environment, 62 secondary school students worked in small groups during a physics task while video and audio were rec…
Understanding higher education learners’ technostress in the metaverse
Metaverse is rapidly evolving as a digital ecosystem combining immersive virtual and augmented reality with persistent social spaces. While not originally designed for education, the metaverse holds potential for higher education by offering possibilities for embodied learning, rich interaction and authentic practice. Yet, the psychological demands of engaging with educational content in such environments remain underexplored. One potential drawb…
Development and evaluation of artificial intelligence literacy training for teacher education students
Teacher education students play double role as present learners and future educators. Hence, they need targeted training to navigate the growing influence of Generative Artificial Intelligence (GenAI) on teaching, learning and professional identity. However, existing artificial intelligence (AI) literacy programmes predominantly emphasize technical AI knowledge and pre‐GenAI tools or are offered by GenAI platforms that focus on their own technolo…
Systemic shifts required for higher education futures: Policy, pedagogy, and practice in the age of artificial intelligence and digital transformation
A Wizard of Oz methodology for designing future learning spaces
As advanced technologies such as Artificial Intelligence (AI) become increasingly integrated into Higher Education (HE) learning spaces, these environments adapt to changing technologies and goals of educators and learners. As such, designing learning spaces requires HE researchers to imagine future learning spaces. In this article, we present a methodology utilizing the Wizard of Oz (WOz) paradigm for designing future learning spaces from the so…
Examining socially shared regulation of learning in medical training: The interplay of heart rate change points on regulatory interactions
Human– AI collaborative learning in mixed reality: Examining the cognitive and socio‐emotional interactions
The rise of generative artificial intelligence (GAI), especially with multimodal large language models like GPT‐4o, sparked transformative potential and challenges for learning and teaching. With potential as a cognitive offloading tool, GAI can enable learners to focus on higher‐order thinking and creativity. Yet, this also raises questions about integration into traditional education due to the limited research on learners' interactions with GA…
Human‐ AI collaboration: Designing artificial agents to facilitate socially shared regulation among learners
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite SSRL, we present a design of an AI agent, MAI, which can detect SSRL and prompt students to raise their…
Beyond efficiency: Empirical insights on generative AI 's impact on cognition, metacognition and epistemic agency in learning
Generative AI (GenAI) promises to reshape education, yet, beyond gains in efficiency and scalability, crucial questions remain regarding its deeper cognitive, epistemic, socio‐emotional and ethical implications for learners. This special section collects emerging empirical evidence from diverse educational settings to examine how interactions with advanced GenAI systems—ranging from intelligent tutors and conversational agents to AI‐generated fee…
Hybrid intelligence: Human– AI coevolution and learning
Artificial intelligence (AI) is becoming increasingly ubiquitous in all areas of life. A concrete example is the urgent need to develop new educational practices in the post-pandemic world, as called for in the OECD 2021 Report on Digital Education (OECD, 2021). Furthermore, it has been estimated that more than half of the tasks associated with almost half of all jobs have been exposed to AI, and at least 19% of tasks associated with more than 80…
Generative Artificial Intelligence (AI) in education: From Organizing Visions to Official Guidelines
Purpose This paper aims to explore the initial formation of organizing visions within digital platforms regarding the use of Generative Artificial Intelligence (GAI) in education. It examines how these emerging visions align with official guidelines. Understanding the early development of these organizing visions and the consensus formation around official guidelines for GAI in education has significant research and practical implications. Design…
Examining effects of students’ innovative behaviour and problem-solving skills on crisis management self-efficacy: Policy implications for higher education
COVID-19 has caused unprecedented challenges for the higher education community worldwide, one of which is that students have had to maintain their learning while dealing with the crisis conditions. However, a systematic understanding of students’ individual crisis management still remains absent despite its importance. The newly emerged and ongoing phenomenon has leveraged the role of crisis management in the context of education, which is even …
Exploring the role of gaze behaviour in socially shared regulation of collaborative learning in a group task
Self‐regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies
Human-AI collaboration patterns in AI-assisted academic writing
Artificial Intelligence (AI) has increasingly influenced higher education, notably in academic writing where AI-powered assisting tools offer both opportunities and challenges.Recently, the rapid growth of generative AI (GAI) has brought its impacts into sharper focus, yet the dynamics of its utilisation in academic writing remain largely unexplored.This paper focuses on examining the nature of human-AI interactions in academic writing, specifica…
Ethical principles for artificial intelligence in education
The advancement of artificial intelligence in education (AIED) has the potential to transform the educational landscape and influence the role of all involved stakeholders. In recent years, the applications of AIED have been gradually adopted to progress our understanding of students’ learning and enhance learning performance and experience. However, the adoption of AIED has led to increasing ethical risks and concerns regarding several aspects s…
Higher education policy and management in the post-pandemic era
Higher education policy and management in the post-pandemic era
Predicting regulatory activities for socially shared regulation to optimize collaborative learning
This study utilized multimodal learning analytics and AI-based methods to examine the patterns of the socially shared regulation of collaborative learning (CL). The study involved multimodal data involving video and electrodermal activities (EDA) data collected from ninety-four secondary school students (N = 94) during five science lessons to reveal trigger events in CL. A novel concept of trigger events is introduced, which are challenging event…
Advancing SRL research with artificial intelligence
Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics
Socially shared regulation contributes to the success of collaborative learning. However, the assessment of socially shared regulation of learning (SSRL) faces several challenges in the effort to increase the understanding of collaborative learning and support outcomes due to the unobservability of the related cognitive and emotional processes. The recent development of trace‐based assessment has enabled innovative opportunities to overcome the p…
Human and artificial intelligence collaboration for socially shared regulation in learning
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL research, which presents an exciting prospect for advancing our understanding and support of learning regulat…
Language Assistance for the Care of Limited English Proficiency (LEP) Patients in the Emergency Department: A Survey of Providers and Staff
Inconsistent Collection and Reporting of Gender Minority Data in HIV and Sexually Transmitted Infection Surveillance Across the United States in 2015
Objectives. To describe collection and reporting of gender data, including for transgender individuals and other gender minorities, in HIV and sexually transmitted infection (STI) surveillance in the United States. Methods. We performed a cross-sectional study of the top 50 US jurisdictions in 2015 for incident infections of HIV, gonorrhea, chlamydia, or primary and secondary syphilis. For each jurisdiction, we described gender-reporting options …
Collecting Sexual Orientation and Gender Identity Information: Filling the Gaps in Sexual and Gender Minority Health
Harvard Medical School, Harvard University, Boston, MA †Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine ‡Division of Health Sciences Informatics, Johns Hopkins School of Medicine §Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health ∥Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine ¶Center for Transgender Health, Johns Hopkins Me…
Human-AI collaboration patterns in AI-assisted academic writing
Artificial Intelligence (AI) has increasingly influenced higher education, notably in academic writing where AI-powered assisting tools offer both opportunities and challenges.Recently, the rapid growth of generative AI (GAI) has brought its impacts into sharper focus, yet the dynamics of its utilisation in academic writing remain largely unexplored.This paper focuses on examining the nature of human-AI interactions in academic writing, specifica…
Inconsistent Collection and Reporting of Gender Minority Data in HIV and Sexually Transmitted Infection Surveillance Across the United States in 2015
Objectives. To describe collection and reporting of gender data, including for transgender individuals and other gender minorities, in HIV and sexually transmitted infection (STI) surveillance in the United States. Methods. We performed a cross-sectional study of the top 50 US jurisdictions in 2015 for incident infections of HIV, gonorrhea, chlamydia, or primary and secondary syphilis. For each jurisdiction, we described gender-reporting options …
Collecting Sexual Orientation and Gender Identity Information: Filling the Gaps in Sexual and Gender Minority Health
Harvard Medical School, Harvard University, Boston, MA †Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine ‡Division of Health Sciences Informatics, Johns Hopkins School of Medicine §Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health ∥Armstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine ¶Center for Transgender Health, Johns Hopkins Me…
Language Assistance for the Care of Limited English Proficiency (LEP) Patients in the Emergency Department: A Survey of Providers and Staff
Ethical principles for artificial intelligence in education
The advancement of artificial intelligence in education (AIED) has the potential to transform the educational landscape and influence the role of all involved stakeholders. In recent years, the applications of AIED have been gradually adopted to progress our understanding of students’ learning and enhance learning performance and experience. However, the adoption of AIED has led to increasing ethical risks and concerns regarding several aspects s…
Higher education policy and management in the post-pandemic era
Higher education policy and management in the post-pandemic era
Predicting regulatory activities for socially shared regulation to optimize collaborative learning
This study utilized multimodal learning analytics and AI-based methods to examine the patterns of the socially shared regulation of collaborative learning (CL). The study involved multimodal data involving video and electrodermal activities (EDA) data collected from ninety-four secondary school students (N = 94) during five science lessons to reveal trigger events in CL. A novel concept of trigger events is introduced, which are challenging event…
Advancing SRL research with artificial intelligence
Examining socially shared regulation and shared physiological arousal events with multimodal learning analytics
Socially shared regulation contributes to the success of collaborative learning. However, the assessment of socially shared regulation of learning (SSRL) faces several challenges in the effort to increase the understanding of collaborative learning and support outcomes due to the unobservability of the related cognitive and emotional processes. The recent development of trace‐based assessment has enabled innovative opportunities to overcome the p…
Human and artificial intelligence collaboration for socially shared regulation in learning
Artificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL research, which presents an exciting prospect for advancing our understanding and support of learning regulat…
Examining effects of students’ innovative behaviour and problem-solving skills on crisis management self-efficacy: Policy implications for higher education
COVID-19 has caused unprecedented challenges for the higher education community worldwide, one of which is that students have had to maintain their learning while dealing with the crisis conditions. However, a systematic understanding of students’ individual crisis management still remains absent despite its importance. The newly emerged and ongoing phenomenon has leveraged the role of crisis management in the context of education, which is even …
Exploring the role of gaze behaviour in socially shared regulation of collaborative learning in a group task
Self‐regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies
Human-AI collaboration patterns in AI-assisted academic writing
Artificial Intelligence (AI) has increasingly influenced higher education, notably in academic writing where AI-powered assisting tools offer both opportunities and challenges.Recently, the rapid growth of generative AI (GAI) has brought its impacts into sharper focus, yet the dynamics of its utilisation in academic writing remain largely unexplored.This paper focuses on examining the nature of human-AI interactions in academic writing, specifica…
A Wizard of Oz methodology for designing future learning spaces
As advanced technologies such as Artificial Intelligence (AI) become increasingly integrated into Higher Education (HE) learning spaces, these environments adapt to changing technologies and goals of educators and learners. As such, designing learning spaces requires HE researchers to imagine future learning spaces. In this article, we present a methodology utilizing the Wizard of Oz (WOz) paradigm for designing future learning spaces from the so…
Examining socially shared regulation of learning in medical training: The interplay of heart rate change points on regulatory interactions
Human– AI collaborative learning in mixed reality: Examining the cognitive and socio‐emotional interactions
The rise of generative artificial intelligence (GAI), especially with multimodal large language models like GPT‐4o, sparked transformative potential and challenges for learning and teaching. With potential as a cognitive offloading tool, GAI can enable learners to focus on higher‐order thinking and creativity. Yet, this also raises questions about integration into traditional education due to the limited research on learners' interactions with GA…
Human‐ AI collaboration: Designing artificial agents to facilitate socially shared regulation among learners
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite SSRL, we present a design of an AI agent, MAI, which can detect SSRL and prompt students to raise their…
Beyond efficiency: Empirical insights on generative AI 's impact on cognition, metacognition and epistemic agency in learning
Generative AI (GenAI) promises to reshape education, yet, beyond gains in efficiency and scalability, crucial questions remain regarding its deeper cognitive, epistemic, socio‐emotional and ethical implications for learners. This special section collects emerging empirical evidence from diverse educational settings to examine how interactions with advanced GenAI systems—ranging from intelligent tutors and conversational agents to AI‐generated fee…
Hybrid intelligence: Human– AI coevolution and learning
Artificial intelligence (AI) is becoming increasingly ubiquitous in all areas of life. A concrete example is the urgent need to develop new educational practices in the post-pandemic world, as called for in the OECD 2021 Report on Digital Education (OECD, 2021). Furthermore, it has been estimated that more than half of the tasks associated with almost half of all jobs have been exposed to AI, and at least 19% of tasks associated with more than 80…
Generative Artificial Intelligence (AI) in education: From Organizing Visions to Official Guidelines
Purpose This paper aims to explore the initial formation of organizing visions within digital platforms regarding the use of Generative Artificial Intelligence (GAI) in education. It examines how these emerging visions align with official guidelines. Understanding the early development of these organizing visions and the consensus formation around official guidelines for GAI in education has significant research and practical implications. Design…
How gaze and proxemics shape and signal shared regulatory processes during AI-supported collaborative learning
Understanding how groups regulate their learning together requires more attention to the verbal and nonverbal cues that shape collaborative activity. This study investigates how gaze and proxemics share and signal socially shared regulation of learning during a classroom-based collaborative inquiry task. In their natural classroom environment, 62 secondary school students worked in small groups during a physics task while video and audio were rec…
Understanding higher education learners’ technostress in the metaverse
Metaverse is rapidly evolving as a digital ecosystem combining immersive virtual and augmented reality with persistent social spaces. While not originally designed for education, the metaverse holds potential for higher education by offering possibilities for embodied learning, rich interaction and authentic practice. Yet, the psychological demands of engaging with educational content in such environments remain underexplored. One potential drawb…
Development and evaluation of artificial intelligence literacy training for teacher education students
Teacher education students play double role as present learners and future educators. Hence, they need targeted training to navigate the growing influence of Generative Artificial Intelligence (GenAI) on teaching, learning and professional identity. However, existing artificial intelligence (AI) literacy programmes predominantly emphasize technical AI knowledge and pre‐GenAI tools or are offered by GenAI platforms that focus on their own technolo…
Systemic shifts required for higher education futures: Policy, pedagogy, and practice in the age of artificial intelligence and digital transformation
Computer Science (13 works) · Psychology (13 works) · Online Learning and Analytics (10 works) · Innovative Teaching and Learning Methods (8 works) · Artificial Intelligence (7 works) · Knowledge management (6 works) · Higher education (5 works) · Mathematics education (5 works) · Medicine (5 works) · Political science (5 works)