Perceived satisfaction of university students with the use of chatbots as a tool for self-regulated learning

Manzanares, María Consuelo Sáiz; Antón, Luis Jorge Martín; Díez, Irene González; Almeida, Leandro S.

doi:10.1016/j.heliyon.2023.e12843

Cited by 40 publications

(24 citation statements)

References 54 publications

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“…The CAMM processes are also affected by students' prior knowledge [e.g., [ [42] , [62] ]]. Taub et al [ 42 ] found that students with little prior knowledge tended to apply more help-seeking strategies in their SRL than those with extensive prior knowledge, who were less likely to seek help and rely more on themselves.…”

Section: Discussionmentioning

confidence: 99%

Developing self-regulated learning as a pedagogy in higher education: An institutional survey and case study in Hong Kong

Kong,

Lin

2023

Heliyon

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Section: Discussionmentioning

confidence: 99%

Developing self-regulated learning as a pedagogy in higher education: An institutional survey and case study in Hong Kong

Kong,

Lin

2023

Heliyon

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“…They can repeat the material by themselves freely. It is explained by Sáiz-Manzanares et al (2023) about learning individualization in modern era.…”

Section: ) Computermentioning

confidence: 99%

Implementation of Articulate Storyline to Improve Students’ Interest in Learning Islamic History Lesson

Khozin,

Haris,

Rozza

2023

Tarbiyatuna

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Inadequate educational ability shown by educators and resources as well as the limited time is the factor that causes inadequate student’s understanding. One of the approaches to decrease the problem involves the use of various instructional resources. The objective of this research is to analyze the design of media with clear storyline and characteristics that determine the level of students’ interest in their education. This research uses qualitative approach with case study. Observation, interview, and documentation are the main method used in the process of data collection. Before, in the middle of, and after learning experience with media, observations were done. Text books and media made in Articulate Storyline are the documentation used. To analyze the data, first, the data must be summarized, then presented, and last, concluded Based on the finding of the research, the most basic step to be done in the process of the making of the media is examining the concept and the design of the media end-to end. It is done in order to make Articulate Narrative media in the lecture of Islamic History as easy as possible. Besides that, the design must be modified to accommodate various demands and students’ ways of study. There are internal and external factors that play roles in determining the level of a student’s learning interest. The use of Articulate Storyline, which is an innovative learning media, is an example of an extrinsic element which has potential to help students develop their learning interest.

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“…This transformation will be driven by the infiltration of artificial intelligence (AI) into various academic aspects [3][4][5][6][7]. Specifically, the incorporation of AI into higher education can help in enhancing personalized learning, supporting research, automating the grading, facilitating the humancomputer interaction, time-saving assistance, and enhancing the students' satisfaction [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5, and Humans in Clinical Chemistry Multiple-Choice Questions

Sallam,

Al-Salahat,

Eid

et al. 2024

Preprint

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The advances in large language models (LLMs) are evolving rapidly. Artificial intelligence (AI) chatbots based on LLMs excel in language understanding and generation, with potential utility to transform healthcare education and practice. However, it is important to assess the performance of such AI models in various topics to highlight its strengths and possible limitations. Therefore, this study aimed to evaluate the performance of ChatGPT (GPT-3.5 and GPT-4), Bing, and Bard compared to human students at a postgraduate master’s (MSc) level in Medical Laboratory Sciences. The study design was based on the METRICS checklist for the design and reporting of AI-based studies in healthcare. The study utilized a dataset of 60 Clinical Chemistry multiple-choice questions (MCQs) initially conceived for assessment of 20 MSc students. The revised Bloom’s taxonomy was used as the framework for classifying the MCQs into four cognitive categories: Remember, Understand, Analyze, and Apply. A modified version of the CLEAR tool was used for assessment of the quality of AI-generated content, with Cohen’s κ for inter-rater agreement. Compared to the mean students’ score which was 40/60 (66.8%), GPT-4 scored 54/60 (90.0%), followed by Bing (46/60, 76.7%), GPT-3.5 (44/60, 73.3%), and Bard (40/60, 66.7%). Statistically significant better performance was noted in lower cognitive domains (Remember and Understand) in GPT-3.5, GPT-4, and Bard. The CLEAR scores indicated that ChatGPT-4 performance was “Excellent” compared to “Above average” performance of ChatGPT-3.5, Bing, and Bard. The findings indicated that ChatGPT-4 excelled in the Clinical Chemistry exam, while ChatGPT-3.5, Bing, and Bard were above-average. Given that the MCQs were directed to postgraduate students with a high degree of specialization, the performance of these AI chatbots was remarkable. Due to the risks of academic dishonesty and possible dependence on these AI models, the appropriateness of MCQs as an assessment tool in higher education should be re-evaluated.

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Perceived satisfaction of university students with the use of chatbots as a tool for self-regulated learning

Cited by 40 publications

References 54 publications

Developing self-regulated learning as a pedagogy in higher education: An institutional survey and case study in Hong Kong

Developing self-regulated learning as a pedagogy in higher education: An institutional survey and case study in Hong Kong

Implementation of Articulate Storyline to Improve Students’ Interest in Learning Islamic History Lesson

Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5, and Humans in Clinical Chemistry Multiple-Choice Questions

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