The Impact of a Training Program Based on Betts Autonomous Learner Model on Developing Creative Leadership and Problem-Solving Skills of Gifted Students in Jordan

Aladwan, Saida Kuftan

doi:10.13189/ujer.2021.090126

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…It produces the learning path using the Prim minimum spanning tree algorithm and modifes it based on the current learning situation [24]. Aladwan suggested frst to designing the learner model, then mining the learners' preferences in the association rules, obtaining the corresponding interactive data and learning results, and eventually having to feed the data into the ant colony algorithm to complete the path recommendation [25].…”

Section: Related Workmentioning

confidence: 99%

A Personalized Learning Path for French Study in Colleges Based on a Big Data Knowledge Map

Xiao

2023

Scientific Programming

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The education industry is gradually improving with the rapid development of information technology. The learners use networks and computers to alter the traditional instructional framework based on educational information technology and achieve personalized learning. This teaching method emphasizes each learner’s identity and autonomy. However, due to the huge number of learning resources available on the Internet, students lack relevant courses, clear learning tasks, and the connection between various knowledge points, resulting in an unsatisfactory effect on the learning process. Knowledge maps for different learner types are created using historical learners’ conceptual knowledge and the segmentation and correlation technique of big data knowledge maps. Using a big data method in this process will automatically generate a set of weak conceptual learning pathways. For this problem, in the era of big data, people put forward the concept of knowledge map and used the algorithm based on the big data knowledge map to study the personalized learning path for college French. The content, structure, and relationship of college French knowledge points can be accurately expressed using this method, which is preferred by college administrators and teachers. This paper aims to investigate the personalized learning path for college French using a big data knowledge map, starting with the characteristics of a college French field of study. This study provides technical support in the establishment of a big data knowledge map based on a learning path recommendation framework. So, after the performance of several commonly used learning path recommendation algorithms, three French students have been selected at random for learning path planning. The results show that personalized learning path planning can be realized based on a knowledge map pre-repair relationship and objective attributes. In the analysis, not only the proposed technique is compared with the conventional optimization approach, but also a comparison study on the benefits of several learning effect prediction models is also performed. The results of this study suggest that this algorithm has a high learning efficiency and that the effective implementation of recommendations produced using our proposed strategy has a significant advantage.

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Section: Related Workmentioning

confidence: 99%

A Personalized Learning Path for French Study in Colleges Based on a Big Data Knowledge Map

Xiao

2023

Scientific Programming

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“…Different studies focused their attention on developing and improving gifted students' skills in different fields. For example, Aladwan (2021) A study by Jarwan and Alabadi (2014) sought to determine how a curriculum based on a creative problem-solving approach affected the development of innovative reasoning capabilities in exceptional individuals with educational impairments. In particular in the governorate of Amman, the research participants included 28 male and female students enrolled in public schools.…”

Section: Literature Reviewmentioning

confidence: 99%

The effectiveness of a training program based on Betts’ model of autonomous learner on improving the creativity product

Aladwan

2022

EURASIA J Math Sci Tech Ed

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Aim: The present research sought at investigating the effectiveness of a training program on the basis of Betts’ model of autonomous learner on improving the creativity product among a sample of gifted 10th grade female students. Method: This was a quasi-experimental study that included a sample of 68 gifted 10th grade female students from King Abdullah II School for Excellence. The students were randomized into a control group (n=34) that received traditional teaching and an experimental group (n=34) that was subjected to the training program based on Betts’ model of autonomous learner. The creative product semantic scale was adopted to perform a pre- and post-assessment of the students’ creative projects (a telescope). The data gathered in this study was analyzed using the statistical package of social sciences. Results: The findings of the study showed that there was significant statistical differences in the experimental group creativity product between pre- (3.18±0.73) and post-training assessment (5.81±0.70), (t=15.1628, p≤0.05). Conclusion: The study ended up with that the training program based on Betts’ model of autonomous learner had a statistically significant positive effect on improving gifted students’ creativity products. The study recommends adopting the concepts of learning autonomy in teaching gifted students and designing various training programs aiming to improve the creativity capacities of the gifted students.

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The Impact of a Training Program Based on Betts Autonomous Learner Model on Developing Creative Leadership and Problem-Solving Skills of Gifted Students in Jordan

Cited by 2 publications

References 12 publications

A Personalized Learning Path for French Study in Colleges Based on a Big Data Knowledge Map

A Personalized Learning Path for French Study in Colleges Based on a Big Data Knowledge Map

The effectiveness of a training program based on Betts’ model of autonomous learner on improving the creativity product

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