Chatbot’s Complementary Motivation Support in Developing Study Plan of E-Learning English Lecture

Ryong, Kyungjin; Lee, Daeho; Lee, Jae-gil

doi:10.1080/10447318.2022.2163786

Cited by 9 publications

(2 citation statements)

References 93 publications

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“…This sub-theme emphasi es the chatbot's effectiveness in aiding students to devise structured study schedules and improve the learning experience, a finding corroborated by both previous studies [67] and ours. The chatbot facilitates the creation of personalized study plans, offering students a starting point for their academic organization efforts.…”

Section: ) Study Planningsupporting

confidence: 85%

AI Conversational Agent Design for Supporting Learning and Well-Being of University Students

Wang,

Tang,

Lei

2024

Preprint

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University students often face a myriad of challenges that can adversely affect their learning and overall health. However, re-search has shown that a minimal number of students access sup-port for their learning and well-being problems. In this project, we aim to evaluate the feasibility of using artificial intelligence (AI) chatbots powered by the generative pre-trained transformer (GPT) to support student learning and well-being. We consulted with clinical psychologists and counselors to identify objectives and iteratively develop the AI conversational agent to align closely with real-world scenarios. 63 questions from different domains students might pose are designed to assess the effectiveness and professionalism of the developed AI conversational agent’s re-sponse. The chatbot's performance was evaluated using context-specific metrics. Additionally, students were recruited to engage in conversations with the chatbot, and their feedback was collect-ed for thematic analysis. Our findings suggest that the develop-ment and evaluation of this AI conversational agent present a promising avenue for addressing student well-being concerns within university environments, while there remains a need to advance their capacity for personalized, empathetic interactions to meet users' needs and expectations fully.

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Section: ) Study Planningsupporting

confidence: 85%

AI Conversational Agent Design for Supporting Learning and Well-Being of University Students

Wang,

Tang,

Lei

2024

Preprint

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“…When utilised, it has the ability to captivate students' attention. Another benefit is in its convenient and ubiquitous accessibility (Ryong et al, 2023). The chatbot developed in this research is aimed to maximise its appeal by incorporating relevant visuals and videos.…”

Section: Discussionmentioning

confidence: 99%

Development of interactive learning media based on website chatbots on plant tissue material

Musfiroh,

Suharsono,

Meylani

2024

RADEN

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The utilization of learning media is a valuable instrument in enhancing the learn-ing process, hence maximizing the attainment of learning objectives. The objec-tive of this study is to create an educational tool for biology instruction in the form of a website chatbot focused on plant tissue content. The research also seeks to evaluate the viability and efficacy of this tool when used by students. The pre-sent study used the ADDIE model, a widely recognized framework in the field of development research. This model encompasses five distinct stages, namely anal-ysis, design, development, implementation, and evaluation. The data utilized in this study was collected via interviews, questionnaires, and tests, and afterwards analyzed employing qualitative and quantitative descriptive statistical methods. The present study developed an educational tool in the form of a website chatbot focused on plant tissue materials. The validation process involved obtaining feed-back from media experts, material experts, and students. The assessment con-ducted by media experts resulted in a 91% rating, categorizing the chatbot as "very feasible." Similarly, the material expert's assessment yielded an 86.5% rat-ing, also falling into the "very feasible" category. Furthermore, students' respons-es indicated a 97.7% rating, categorizing the chatbot as "very feasible." Moreo-ver, based on the study conducted to evaluate the efficacy of learning media goods, the t-test findings revealed a significant difference between the pretest and post-test scores, as indicated by a Sig value (2-tailed) of 0.000, which is less than the predetermined significance level of 0.05. The mean gain for the website chat-bot learning media product is 0.77, falling inside the "high" category. This sug-gests that the product is very suited and effective as a learning medium.

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Emotional supports in robot-based self-regulated learning contexts to promote pre-service teachers’ digital learning resource development competences

Fang,

Chen,

Guo

et al. 2024

Educ Inf Technol

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Chatbot’s Complementary Motivation Support in Developing Study Plan of E-Learning English Lecture

Cited by 9 publications

References 93 publications

AI Conversational Agent Design for Supporting Learning and Well-Being of University Students

AI Conversational Agent Design for Supporting Learning and Well-Being of University Students

Development of interactive learning media based on website chatbots on plant tissue material

Emotional supports in robot-based self-regulated learning contexts to promote pre-service teachers’ digital learning resource development competences

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