Benefits and Challenges of Collaboration between Students and Conversational Generative Artificial Intelligence in Programming Learning: An Empirical Case Study

Education Sciences, Journal Year: 2024, Volume and Issue: 14(4), P. 433 - 433

Published: April 20, 2024

The utilization of conversational generative artificial intelligence (Gen AI) in learning is often seen as a double-edged sword that may lead to superficial learning. We designed and implemented programming course focusing on collaboration between students Gen AI. This study explores the dynamics such collaboration, students’ communication strategies with AI, perceived benefits, challenges encountered. Data were collected from class observations, surveys, final reports, dialogues semi-structured in-depth interviews. results showed effective AI could enhance meta-cognitive self-regulated skills positively impact human-to-human communication. further revealed difficulties individual differences collaborating complex tasks. Overall, partner, rather than just tool, enables sustainable independent learning, beyond specific tasks at given time.

Language: Английский

---

Effectiveness of ChatGPT in facilitating learning for students with special educational needs: An empirical study in Saudi Arabia

Nutrition and Health, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Study purpose This paper aims to explore the effectiveness of ChatGPT in facilitating learning for medical students with special educational needs (SEN) while acknowledging and addressing challenges that SEN may encounter utilizing this technology. Methods cross-sectional survey study assessed ChatGPT's efficacy supporting across three Saudi Arabian universities. Utilizing purposive convenience sampling, a questionnaire was administered 283 students. Statistical analyses, including t-tests ANOVA, were conducted evaluate perceptions effectiveness, considering demographic factors impairment types. Results Notable differences observed by type education level. Statistically significant among participants different types impairments relation flexibility communication ( p = .01), scaffolding guided practice .0435), immediate feedback reinforcement .0334), visual audio support .0244), simplified .002) factors. For instance, individuals interaction rated significantly higher M 4.39, visual/audio 4.08, .024) compared other impairments. Education level influenced all < .05), diploma holders consistently rating more favorably. Conclusion Although providing personalized, simplified, scaffolded experiences, along social emotional support, demonstrates promising potential enhancing students; it does not prove be effective

Language: Английский

---

When Technology Meets Anxiety:The Moderating Role of AI Usage in the Relationship Between Social Anxiety, Learning Adaptability, and Behavioral Problems Among Chinese Primary School Students

Psychology Research and Behavior Management, Journal Year: 2025, Volume and Issue: Volume 18, P. 151 - 167

Published: Jan. 1, 2025

This study aims to examine the relationships between social anxiety, learning adaptability, AI technology usage, and behavioral problems among primary school students, with a focus on mediating role of adaptability moderating usage. A cross-sectional survey was conducted 1240 students aged 8-15 in Luzhou, Sichuan Province. Social anxiety measured using Anxiety Scale for Children (SASC), assessed Children's Learning Adaptability Questionnaire (CSAQ), were evaluated Child Behavior Checklist (CBCL), tool usage gauged through self-developed questionnaire. Data analysis involved correlation multiple regression analyses SPSS, moderated mediation effect analyzed Process Model 59. found significantly positively predict problems, indicating that higher levels associated more problems. partially mediated this relationship, suggesting not only directly impacts but also indirectly heightens risk by reducing adaptability. Additionally, relationship stronger observed at Specifically, positive influence became pronounced as increased, frequent use can amplify impact outcomes. increases diminishing plays its effects becoming highlights need educators improving students' judiciously incorporate technology, consider individual differences, particularly mental health, foster comprehensive healthy student development.

Language: Английский

---

Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging

International Journal of Retina and Vitreous, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 31, 2025

Abstract Background Diabetic retinopathy (DR) and macular edema (DME) are critical causes of vision loss in patients with diabetes. In many communities, access to ophthalmologists retinal imaging equipment is limited, making screening for diabetic complications difficult primary health care centers. We investigated whether ChatGPT-4, an advanced large-language-model chatbot, can develop risk calculators DR DME using check-up tabular data without the need or coding experience. Methods Data-driven prediction models were developed medical history laboratory blood test from Korea National Health Nutrition Examination Surveys (KNHANES). The dataset was divided into training (KNHANES 2017–2020) validation 2021) datasets. ChatGPT-4 used build formulas a web-based calculator tool. Logistic regression analysis performed by predict DME, followed automatic generation Hypertext Markup Language (HTML) code performance evaluated areas under curves receiver operating characteristic curve (ROC-AUCs). Results successfully operational on web browser any set showed ROC-AUCs 0.786 0.835 predicting respectively. comparable those created various machine-learning tools. Conclusion By utilizing code-free prompts, we overcame technical barriers associated skills developing models, it feasible prediction. Our approach offers easily accessible tool DM during check-ups, imaging. Based this automatically workers will be able effectively screen who require examinations only data. Future research should focus validating diverse populations exploring integration more comprehensive clinical enhance predictive performance. Graphical

Language: Английский

---

AI‐Mediated Communication in EFL Classrooms: The Role of Technical and Pedagogical Stimuli and the Mediating Effects of AI Literacy and Enjoyment

European Journal of Education, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 23, 2024

ABSTRACT This study leverages the Stimulus‐Organism‐Response (S‐O‐R) framework to investigate effects of teacher and technical support (TCHS) on learners' willingness communicate (WTC) in artificial intelligence (AI)‐enhanced English as a foreign language (EFL) contexts, considering mediating literacy (AIL) enjoyment (FLE). A quantitative survey encompassing 637 non‐English major university students across four institutions was conducted. Structural equation modelling (SEM) results demonstrated that (TEAS) exerts direct influence WTC, whereas TCHS does not. The also revealed AIL FLE significantly mediate relationship between learners’ WTC. findings underscore pivotal role cognitive affective factors, emphasising substantial impact TEAS value nurturing languages. research offers strategic implications for educational practitioners policymakers, advocating integration innovative technologies fostering sustainable growth education.

Language: Английский

---

From Programming to Prompting: Developing Computational Thinking through Large Language Model-Based Generative Artificial Intelligence

TechTrends, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Language: Английский

---

A review on enhancing education with AI: exploring the potential of ChatGPT, Bard, and generative AI

Discover Education, Journal Year: 2025, Volume and Issue: 4(1)

Published: Feb. 18, 2025

Language: Английский

---

Teaching and learning computer programming using ChatGPT: A rapid review of literature amid the rise of generative AI technologies

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

---

Artificial intelligence and communication technologies in academia: faculty perceptions and the adoption of generative AI

International Journal of Educational Technology in Higher Education, Journal Year: 2025, Volume and Issue: 22(1)

Published: March 13, 2025

Abstract Artificial intelligence (AI) is ushering in an era of potential transformation various fields, especially educational communication technologies, with tools like ChatGPT and other generative AI (GenAI) applications. This rapid proliferation adoption GenAI have sparked significant interest concern among college professors, who are dealing evolving dynamics digital within the classroom. Yet, effect implications education remain understudied. Therefore, this study employs Technology Acceptance Model (TAM) Social Cognitive Theory (SCT) as theoretical frameworks to explore higher faculty’s perceptions, attitudes, usage, motivations, underlying factors that influence their or rejection tools. A survey was conducted full-time faculty members ( N = 294) recruited from two mid-size public universities US. Results found professors’ perceived usefulness predicted attitudes intention use adopt technology, more than ease use. Trust social reinforcement strongly influenced decisions acted mediators better understand relationship between TAM SCT. Findings emphasized power shaping self-efficacy, GenAI. enhances peer affects how shapes users’ willingness whereas self-efficacy has a minimal impact. research provides valuable insights inform policies aimed at improving experience for students AI-driven workforce.

Language: Английский

---

The Sentiments and the Impact of ChatGPT on Computer Programming Learning: Data Mining From Comments on YouTube Videos

Journal of Computer Assisted Learning, Journal Year: 2025, Volume and Issue: 41(2)

Published: Feb. 22, 2025

ABSTRACT Background Computer programming learning and education play a critical role in preparing workforce equipped with the necessary skills for diverse fields. ChatGPT YouTube are technologies that support self‐directed learning. Objectives This study aims to examine sentiments primary topics discussed comments about ChatGPT's impact on writing computer programming. Methods The data were collected from 30 November 2022 11 January 2024, by extracting 30,773 57 videos. Sentiment analysis, topic modelling thematic analysis used analysis. Results Conclusions Through sentiment positive attitude among learners towards employing was identified. results of revealed these recognise both perceived advantages limitations using include creating plans, generating code, self‐correction, explaining code saving time, while incorrect information, challenges debugging programmes, inefficiency ineffectiveness absence intelligence. Diverse perspectives regarding professions discussed. Some ethical concerns privacy, copyright equity issues raised needed further exploration. findings imply importance integrating into education. Guidelines instructions needed.

Language: Английский

---