🏷️ affective-computing

> **Social-emotional learning (SEL)** — the process of developing the competencies that enable individuals to synchronize thoughts, emotions, and actions to foster positive interactions with oneself a…

2026-08-13 · ai-literacy, well-being, teacher-ai-competency, student-experience, ethics

> **Synthesis:** Grounded in social presence theory, this study introduces the concept of identity anthropomorphism and adopts multimodal learning analytics (MMLA) combining questionnaires, EEG and ey…

2026-08-10 · agent, learning-analytics, multimodal, ai-education, ai-tutoring

> **Synthesis:** Emotion regulation has been recognized as a key factor affecting students' academic success. This study proposed a self-determination theory (SDT)-based emotional agent framework, imp…

2026-08-10 · ai-education, ai-tutoring, educational-technology, edtech-platform, evaluation

> **Synthesis:** This study challenges the assumption that emotional design in educational AI provides universal benefits, investigating when, for whom and how it impacts L2 vocabulary learning. A qua…

2026-08-10 · language-learning, ai-education, ai-tutoring, educational-technology, edtech-platform

> **Synthesis:** Palmquist, Sigurdardottir, and Myhre (2025) conduct a narrative literature review examining the intersection of AI literacy and social-emotional competencies (SEC) in education, propo…

2026-08-10 · ai-literacy, teacher-ai-competency, ethics, ai-education, higher-ed

> **Motivation** — the psychological processes that initiate, direct, and sustain goal-directed behavior. In AI in education, motivation research examines how AI tools affect learners' and teachers' m…

2026-08-10 · motivation, student-experience, engagement-metrics, self-determination-theory, ai-education

> **Self-Determination Theory (SDT)** — a psychological theory of human motivation positing that intrinsic motivation and well-being depend on satisfying three basic psychological needs: autonomy, com…

2026-08-10 · self-determination-theory, motivation, student-experience, teacher-ai-competency, ai-education

> Ibrahim, Hafner, Cheng, Lee, Anselmetti, Willer, Rocher & Yang (2026) provide large longitudinal experimental evidence (N = 3,075; 12,766 conversations; three-week census-representative U.S. sample)…

2026-08-03 · student-ai-interaction, over-reliance, ethics, generative-ai, ai-literacy

Survey of 206 engineering students: AI chatbots provide greatest perceived benefit as relief from competence frustration, smaller benefits for autonomy, weakest for relatedness. Baseline motivational …

2026-07-30 · higher-ed, stem-education, student-experience, personalized-learning, scaffolding

> **MathBuddy: Affective Math Tutoring** — EMNLP 2025 Demo. An emotionally aware LLM-powered mathematics tutor that dynamically models student emotions from both conversational text and facial express…

2026-07-29 · math-education, intelligent-tutoring, k-12, pedagogical-llm-training, affective-tutoring

Anindho, Venkatesha, Ocumpaugh and Blanchard apply Ordered Network Analysis to trace how epistemic emotions such as confusion and frustration persist and transition during co-situated collaborative pr…

2026-07-28 · human-in-the-loop, learning-analytics, affective-tutoring, llm

> **Zekun Wu, Man Su, Huiyong Li, Tomohiro Nagashima, Anna Maria Feit** — submitted 1 Jul 2026…

2026-07-02 · generative-ai, k-12, student-experience, adaptive-learning, llm-in-education

Siyan et al. (2026) conduct a carefully controlled experiment isolating the effect of empathetic language in LLM-powered physical activity coaching chatbots over a longitudinal deployment. While the e…

2026-06-30 · feedback-loop, llm, personalized-learning, student-experience, affective-tutoring

📄 [PDF](https://arxiv.org/pdf/2606.26579) This study investigates how different modes of AI interaction affect cognitive engagement and learning outcomes in high school students. Using a within-subje…

2026-06-26 · k-12, student-experience, llm, generative-ai, engagement-metrics

This grounded theory study analyzed open-ended responses from 1,054 university students across three Philippine universities to define **AI fatigue** as a distinct construct — separate from technostre…

2026-05-25 · student-experience, over-reliance, ai-literacy, higher-ed, self-regulated-learning

This study embedded undisclosed AI agents as teammates in synchronous text-based group interactions across analytical, creative, and ethical tasks with 786 participants making 1,572 identity judgments…

2026-05-25 · ai-literacy, over-reliance, student-experience, llm, rag

Closed-loop ITS with multimodal affective scoring (facial, vocal, textual, oculomotor) produced significant presentation skill gains (Cohen's d = 0.39-0.90, N=204) over 30 days. This paper presents on…

2026-05-19 · intelligent-tutoring, multimodal, higher-ed, professional-training, efficacy-study

In a year-long study of 458 university students (3,610 person-waves) using Oura rings for passive physiological sensing, researchers examined whether **ultra-brief affective text prompts** (median 3-w…

2026-05-17 · student-experience, higher-ed, learning-analytics, affective-tutoring, llm

This dissertation presents an integrated AI framework for campus well-being spanning prevention (improving feedback collection) and intervention (advancing mental health detection). It represents an i…

2026-05-16 · higher-ed, llm, generative-ai, student-experience, edtech-platform

> **EduGage** (Leng et al., 2026) addresses a core challenge: in online/video-based learning, **learners must self-regulate** their engagement with instructional materials. > Sensor-based momentary as…

2026-05-08 · adaptive-learning, learning-analytics, higher-ed, feedback-loop, self-regulated-learning

> Integrating emotional awareness into AI tutoring systems can yield measurable pedagogical gains, but the same affective sophistication risks amplifying harms if learner agency is eroded by empatheti…

2026-05-07 · intelligent-tutoring, adaptive-learning, scaffolding, k-12, higher-ed