Reading material selection for bibliotherapy based on blood type in young adult groups

Agustina, Susanti; Saman, Wan Satirah Wan Mohd; Shaifuddin, Norshila; Aziz, Rafidah Abdul

doi:10.24198/jkip.v10i1.31022

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…In [10], the relationship between individuals' blood types and their preferred book genres is studied, and an attempt is made to provide a method for recommending content in reading therapy programs based on that. This study was conducted on 80 individuals with blood types A, B, AB, and O, and each individual indicated their reading preferences through a questionnaire.…”

Section: Related Workmentioning

confidence: 99%

Application of Image Classification Based on Improved LSTM in Internet Reading Therapy Platform

Xiong,

Yin,

Pan

2024

IEEE Access

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Reading therapy is an effective approach for improving mental states or addressing disabilities associated with individuals' dyslexia. In traditional approaches, this process is performed through the intervention and supervision of an expert, which incurs time and cost. However, by utilizing artificial intelligence technologies, the reading therapy process can be automated. This article focuses on presenting an internet-based automated platform for reading therapy. In this method, audio and visual features during the reading therapy are processed using deep learning techniques to identify the individual's emotional state based on their reading status. In this state, two separate convolutional neural networks are used to describe the facial image features and speech characteristics of the individual. Then, the described features from these two models are merged to determine the individual's mental states using LSTM layers. Finally, a reinforcement learning model is used to provide feedback and design subsequent exercises. This reinforcement approach leads to continuous improvement of the evaluated process and plays a significant role in enhancing the efficiency of the internet-based reading therapy system. The performance of the proposed method has been evaluated based on information from 20 volunteers. According to the results, the proposed method can effectively improve individuals' mental states and compete with the conventional supervisor-based approaches. The performance of the proposed deep learning models in identifying emotional states has also been investigated. The results indicate that this model achieves a minimum improvement of 9.71% in emotional state recognition compared to previous research, with an average correlation coefficient of 0.64485. INDEX TERMSInternet-based reading therapy, reading therapy framework, deep learning, fuzzy logic, reinforcement learning I.

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Section: Related Workmentioning

confidence: 99%

Application of Image Classification Based on Improved LSTM in Internet Reading Therapy Platform

Xiong,

Yin,

Pan

2024

IEEE Access

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“…STIFIn is a concept to identify human intelligence based on the dominant brain operating system and can be identified by scanning fingerprints. The STIFIn method explains how the brain works based on its operating system, not its hardware capacity (Agustina et al, 2022;Alindra, 2018;Simanullang, 2022). The STIFIn method is the application of the STIFIn concept which compiles theories from psychology, neuroscience, and human resource science.…”

Section: Introductionmentioning

confidence: 99%

Student Learning Difficulties in Terms of the STIF in Framework of Fractional Material

Kamid,

Dewi,

Kurniawan

et al. 2023

j. penelit. dan pengemb. pendidik.

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Learning mathematics is possible because of problems in learning facts, concepts, operations and principles. Students who need help teaching mathematics often make mistakes in counting. This research aims to analyze the difficulties experienced by students in fractional material with the types of intelligent thinking, feeling and sensing in learning mathematics. This research approach uses a qualitative approach to document study and interviews. The sample in this study was fourth-grade elementary school students. The sampling technique used is random sampling. Primary data and secondary data are the source of data in this study. The instrument used is in the form of interview sheets and questions regarding fractional material in mathematics lessons. Data analysis was carried out based on the Miles and Huberman model. Based on the results of the STIFIn test, it was found that the Feeling, Sensing and Thinking students were superior in mastering the concept of fractions to the Instinct and Intuiting students. Furthermore, students' strategies in developing fractional problem-solving strategies are comparing fractions with other simple standard fractions, comparing fractions based on the denominator and quantifier, and making fraction representations in the form of flat structures to understand and compare fractions.

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Reading material selection for bibliotherapy based on blood type in young adult groups

Cited by 2 publications

References 4 publications

Application of Image Classification Based on Improved LSTM in Internet Reading Therapy Platform

Application of Image Classification Based on Improved LSTM in Internet Reading Therapy Platform

Student Learning Difficulties in Terms of the STIF in Framework of Fractional Material

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