Jeena Joseph
Biographic Data
| ID | 8030760 |
|---|---|
| NAME | Jeena Joseph |
| GIVEN NAMES | Jeena |
| FAMILY NAME | Joseph |
| SIGNATURE | JOSEPH J |
| AFFILIATIONS | Sacred Heart College |
| ORCID | 0000-0001-5792-6400 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Digital decay
The syntax of power
The right to remain unseen
Emotional literacy as curriculum
The post-pandemic classroom has become an emotional battlefield. Educators report rising levels of anxiety, isolation, and burnout among students across age groups. Standardized tests, remote learning fatigue, and performance pressures have exposed the systemic gaps in how we address the emotional needs of learners (Yang, 2021). It is no longer enough to advocate for mental health support at the margins of the curriculum. We must reimagine emotio…
Digital silence
The new silencers do not ban books, imprison thinkers, or storm newsrooms. They reside in the code. They move between cloud servers and data centers, attired in harmless user interfaces and ensnared in the optimizing logic. They are not malicious and not subject to inspection. Their labor is neither seen nor violent-it is procedural. You are now living in the age of algorithmic censorship, where academic freedom is not taken apart by fiat but sil…
Algorithmic bias in public health AI
injustices-inequities in access to care or discriminatory health policy, say-are embedded within datasets for learning (9,10). Representation bias is present when samples from urban, wealthy, or connected groups lead to the ignoring of samples from rural, indigenous, or disenfranchised groups (2). In addition, measurement bias is present when health endpoints are approximated with the help of proxy variables-hospital attendance or smartphone usag…
The generative illusion
Introduction In the digital age, access to health information is no longer gated by clinics or libraries—it's increasingly mediated by algorithmic interfaces. The emergence of generative AI (GenAI) tools such as ChatGPT, Google Gemini, Claude, and open-source large language models has transformed how individuals seek, interpret, and act upon health information. Millions of users now consult AI models for everything from interpreting symptoms and …
The persistence of originality
Predicting crime or perpetuating bias? The AI dilemma
The AI revolution in micro-credentialing
In the modern educational landscape, the pace of technological change has ushered in a transformation where artificial intelligence (AI) is integrated into learning and development in nearly all areas. A lot of that transformation has been through the rise of micro-credentialing, whereby the need for flexible, skill-specific education becomes very close to the needs of the changing global workforce (Kiiskilä et al., 2022). Often referred to as mi…
No prominent works on this page.
The AI revolution in micro-credentialing
In the modern educational landscape, the pace of technological change has ushered in a transformation where artificial intelligence (AI) is integrated into learning and development in nearly all areas. A lot of that transformation has been through the rise of micro-credentialing, whereby the need for flexible, skill-specific education becomes very close to the needs of the changing global workforce (Kiiskilä et al., 2022). Often referred to as mi…
Emotional literacy as curriculum
The post-pandemic classroom has become an emotional battlefield. Educators report rising levels of anxiety, isolation, and burnout among students across age groups. Standardized tests, remote learning fatigue, and performance pressures have exposed the systemic gaps in how we address the emotional needs of learners (Yang, 2021). It is no longer enough to advocate for mental health support at the margins of the curriculum. We must reimagine emotio…
Digital silence
The new silencers do not ban books, imprison thinkers, or storm newsrooms. They reside in the code. They move between cloud servers and data centers, attired in harmless user interfaces and ensnared in the optimizing logic. They are not malicious and not subject to inspection. Their labor is neither seen nor violent-it is procedural. You are now living in the age of algorithmic censorship, where academic freedom is not taken apart by fiat but sil…
Algorithmic bias in public health AI
injustices-inequities in access to care or discriminatory health policy, say-are embedded within datasets for learning (9,10). Representation bias is present when samples from urban, wealthy, or connected groups lead to the ignoring of samples from rural, indigenous, or disenfranchised groups (2). In addition, measurement bias is present when health endpoints are approximated with the help of proxy variables-hospital attendance or smartphone usag…
The generative illusion
Introduction In the digital age, access to health information is no longer gated by clinics or libraries—it's increasingly mediated by algorithmic interfaces. The emergence of generative AI (GenAI) tools such as ChatGPT, Google Gemini, Claude, and open-source large language models has transformed how individuals seek, interpret, and act upon health information. Millions of users now consult AI models for everything from interpreting symptoms and …
The persistence of originality
Predicting crime or perpetuating bias? The AI dilemma
Digital decay
The syntax of power
The right to remain unseen
Computer Science (6 works) · Artificial Intelligence in Healthcare and Education (4 works) · Psychology (4 works) · Art (3 works) · Performing arts (3 works) · Political science (3 works) · Aesthetics (2 works) · COVID-19 diagnosis using AI (2 works) · Data science (2 works) · Medicine (2 works)