Knowledge representation learning with EEG-based engagement and cognitive load as mediators of performance DOI
Yuzhi Sun, David A. Nembhard

Behaviour and Information Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Dec. 11, 2024

Educational and instructional research has provided contrasting results regarding the best representation of numerical information, with two most common being tabular graphical representations. This motivated us to examine issue using a novel approach. We employed electroencephalography (EEG) event-related synchronisation desynchronisation (ERS/ERD) model cognitive load, alpha beta band powers engagement. conducted an experiment measure load engagement 48 Oregon State University students compared their performances respect these Structural equation models (SEMs) were constructed investigate potential mediation learning performance by load. The indicate that was fully mediated Relative graphs, tables produced higher engagement, subsequently, greater overall performance. Current showed different representations could yield significant differences in performance, understanding representation-elicited affective behaviours considerable for future online design.

Language: Английский

Learner Perceptions of Artificial Intelligence-Generated Pedagogical Agents in Language Learning Videos: Embodiment Effects on Technology Acceptance DOI
Lin Yu-peng, Zhonggen Yu

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: June 7, 2024

Artificial intelligence generates vibrant characters, encompassing teachers, peer students, and advisors within diverse educational media. However, the impact of perceived embodiment such characters in language learning videos on students' technology acceptance adoption is unclear. Integrating structural equation modeling into thematic analysis, this study analyzes 1042 valid responses from higher education students to bridge research gap. Our reveals that four subdimensions (human-likeness, credibility, facilitation, engagement) significantly positively predict higher-education ease use usefulness artificial intelligence-generated virtual teachers videos. Notably, an exception arises, as human-likeness does not our context. Students' systemic interactivity process emerge pivotal mediators. The qualitative analysis identifies concerns about classroom administration, developmental support, technical issues, deprived interpersonal collaboration, liberal attainment cultivation with teacher presence. This can illuminate designs applications education.

Language: Английский

Citations

13

AI-based avatars are changing the way we learn and teach: benefits and challenges DOI Creative Commons
Maximilian C. Fink,

Seth A. Robinson,

Bernhard Ertl

et al.

Frontiers in Education, Journal Year: 2024, Volume and Issue: 9

Published: July 16, 2024

Advancements in the generative AI field have enabled development of powerful educational avatars. These avatars embody a human and can, for instance, listen to users’ spoken input, generate an answer utilizing large-language model, reply by speaking with synthetic voice. A theoretical introduction summarizes essential steps developing AI-based explains how they differ from previously available technologies. Moreover, we introduce GPTAvatar , open-source, state-of-the-art avatar. We then discuss benefits using avatars, which include, among other things, individualized contextualized instruction. Afterward, highlight challenges Major problems concern incorrect inaccurate information provided, as well insufficient data protection. In discussion, provide outlook addressing advances content technology identifying three crucial open questions research practice.

Language: Английский

Citations

12

Pedagogical Agents Communicating and Scaffolding Students’ Learning: High School Teachers’ and Students’ Perspectives DOI Creative Commons
Pieta Sikström, Chiara Valentini, Anu Sivunen

et al.

Computers & Education, Journal Year: 2024, Volume and Issue: 222, P. 105140 - 105140

Published: Aug. 23, 2024

Pedagogical agents (PAs) communicate verbally and non-verbally with students in digital virtual reality/augmented reality learning environments. PAs have been shown to be beneficial for learning, generative artificial intelligence, such as large language models, can improve PAs' communication abilities significantly. K-12 education is underrepresented technology research teachers' students' insights not considered when developing PA communication. The current study addresses this gap by conducting analyzing semi-structured, in-depth interviews eleven high school teachers sixteen about their expectations capabilities. interviewees identified relational task-related capabilities that a should perform effectively scaffold learning. simultaneously affirmative induce immediacy, foster the relationship engagement PA, support management. Additionally, described activities technological aspects designing conversational PAs. showed applied human-to-human scripts outlining desired characteristics. offers novel recommendations researchers developers on communicational, pedagogical, must communicative discusses contributions human–machine education.

Language: Английский

Citations

8

Be happy and effective? Incorporating emotional design into multimedia learning in elementary science education DOI Open Access
Yueru Lang, Shaoying Gong,

Yanan Wu

et al.

British Journal of Educational Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Abstract Background In recent years, the endeavour to stimulate positive emotions, regulate negative and facilitate learning of elementary school students through emotional design has attracted a lot attention. Aims The purpose this study was investigate effects warm colours anthropomorphism as elements on multimedia learning, whether combining pedagogical agent with materials would be better. Samples Experiment 1 recruited 203 students. 2 140 Methods employed (Colours: vs. grayscale) × (Anthropomorphism: without) between‐subjects design. (Learning materials: neutral) (Pedagogical agent: Results showed that reduced boredom anxiety; increased enjoyment, intrinsic motivation, mental effort, boredom; their combination facilitated retention transfer performance. revealed ameliorated learners' overall experiences, but did not significantly affect Conclusions Incorporating both yielded most favourable impact in designing materials. Integrating approaches agents could conducive happy effective showing importance holistic educational settings.

Language: Английский

Citations

0

Effects of an Onscreen Instructor’s Emotions and Picture Types on Poetry Appreciation DOI
Yi Wang, Man Zhang, Quanlei Yu

et al.

The Journal of Experimental Education, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23

Published: May 1, 2025

Language: Английский

Citations

0

The Impact of Emotional Pedagogical Agents on Multimedia Learning: A Meta-Analysis DOI

迎吉 宋

Advances in Psychology, Journal Year: 2025, Volume and Issue: 15(05), P. 78 - 90

Published: Jan. 1, 2025

Language: Английский

Citations

0

AI-Based Avatars Are Changing the Way We Learn and Teach: Benefits and Challenges DOI Open Access
Maximilian C. Fink,

Seth A. Robinson,

Bernhard Ertl

et al.

Published: March 27, 2024

Advancements in the generative AI field have enabled development of powerful educational avatars. These avatars can, for instance, listen to users’ spoken input, generate an answer utilizing a large-language model, and reply by speaking with synthetic voice. A theoretical introduction summarizes essential steps developing AI-based explains how they differ from previously available technologies. Moreover, we introduce GPTAvatar, open-source, state-of-the-art avatar. We then discuss benefits using avatars, which include, among other things, individualized contextualized instruction. Afterward, highlight challenges Major problems concern incorrect inaccurate information provided, as well insufficient data protection. In discussion, provide outlook addressing advances content technology identifying three crucial open questions research practice.

Language: Английский

Citations

2

Interactive learning media development in Purwokerto city: cognitive aspects of school basketball DOI Creative Commons
Akbar Kusuma Abadi, I Gusti Ayu Ratna Dewi, Syahrizal Islam

et al.

Retos, Journal Year: 2024, Volume and Issue: 58, P. 891 - 902

Published: July 17, 2024

Teachers' learning methods for sports and health are still conventional, such as lectures, discussions, assignments, but teachers have not yet applied using interactive technologies, especially in basketball games. The aim of this research is to produce effective media enhance the knowledge students. method used Research Development (RnD) Borg Gall model. subjects study included validators, physical education teachers, grade XI students from all public high schools Purwokerto City (Public High Schools 1, 2, 3, 4, 5). Data analysis techniques use quantitative descriptive analysis. product test suffered audio constraints overcome through improvements showed a score 86.20%. After improvements, usage 62 five very scores, reaching 95.72% 96.40% teachers. results effectiveness that has significant influence on students' cognitive abilities. Keywords: Development, Interactive Learning Media, Cognitive Aspects, Basketball

Language: Английский

Citations

2

Pedagogical Agent Design for K-12 Education: A Systematic Review DOI Creative Commons
Shan Zhang, Chris Davis Jaldi, Noah L. Schroeder

et al.

Computers & Education, Journal Year: 2024, Volume and Issue: unknown, P. 105165 - 105165

Published: Sept. 1, 2024

Language: Английский

Citations

2

Guiding student learning in video lectures: Effects of instructors’ emotional expressions and visual cues DOI
Chengde Zhang, Zhizun Wang,

Ziqi Fang

et al.

Computers & Education, Journal Year: 2024, Volume and Issue: 218, P. 105062 - 105062

Published: May 10, 2024

Language: Английский

Citations

1