Gifted education in Sudan: Reviews from a learning-resource perspective

Bakhiet, Salaheldin Farah Attallah; Mohamed, Huda SharfEldeen Eltaher

doi:10.1080/2331186x.2022.2034246

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…They include 'mapping' the educational environments of families of highly achieving students (Vialle 2017) and identifying the impact of COVID-19 on the learning experiences of Australian parents and their children (Phillipson et al n.d.). Other 'mapping' research includes the Australian gifted education environment (Phillipson and Ziegler 2021), Egypt (Ayoub et al 2022), Oman (Hemdan et al 2022), Saudi Arabia (Alamer and Phillipson 2020;Alfaiz et al 2022), and Sudan (Bakhiet and Mohamed 2022), the practice of Russian universities toward gifted students (Skorobogatova and Melikhova 2021), the support practices of Australian parents of their young children (Richards et al 2019), and the educational aspirations of Singaporean parents (Phillipson et al 2019).…”

Section: Research Based On the Actiotope Model Of Giftednessmentioning

confidence: 99%

Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments

2023

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Since its inception, the Actiotope Model of Giftedness (AMG) has provided researchers with a useful model to explain the development of exceptionality. Rather than a focus on the individual, the model postulates that exceptionality is the outcome of a system that includes complex interactions between an individual’s current level of talent and their internal and external environment. To date, however, the statistical techniques that have been used to investigate the model, including linear regression and structural equation modeling, are unable to fully operationalize the systemic nature of these interactions. In order to fully realize the predictive potential and application of the AMG, we outline the use of artificial neural networks (ANNs) to model the complex interactions and suggest that such networks can provide additional insights into the development of exceptionality. In addition to supporting continued research into the AMG, the use of ANNs has the potential to provide educators with evidence-based strategies to support student learning at both an individual and whole-school level.

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Section: Research Based On the Actiotope Model Of Giftednessmentioning

confidence: 99%

Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments

2023

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“…If a student can achieve high achievement, then the student can be said to be developing optimally. The achievement of optimal educational outcomes can be obtained from the strong efforts of students, teachers, and educational institutions (Asiyai, 2022;Farah Bakhiet & Mohamed, 2022;Ulfa et al, 2021). One of the factors that influence learning outcomes is learning motivation (Fatimah et al, 2022;Hidayat & Perdana, 2021;Moore & Wang, 2021;Nur Aisyah et al, 2021;Rizkiawan et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Humanistic Counseling and Student Learning Motivation

Kustinah

Kambali

Lama’atushabakh³

2022

IJE-QQR

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In the learning process of course, some things hinder the learning process, especially learning motivation. This study aims to raise issues and efforts to increase student motivation at MTSN (State Islamic Junior High School) 11 Cirebon with the humanistic counseling method. This study uses a qualitative method with a descriptive approach. The study results show that the humanistic counseling method has been applied at MTSN 11 Cirebon. Teachers cannot only rely on one method but need to integrate humanistic, behavioristic, and psychoanalytic. Some of the problems of student motivation at MTSN 11 Cirebon are the lack of student activity in the classroom, students still being reluctant to the teacher, a crisis of self-confidence, not collecting assignments, etc. As for some of the efforts and basic techniques of teachers using humanistic counseling, the first is to combine humanistic values in the counseling system, such as self-awareness, freedom of opinion, responsibility, search for meaning in the learning process, and respect for time. Second, the teacher tries to help students to have a correct understanding of learning motivation. The teachers are very important in helping students to study well so that learning outcomes are maximized.

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Gifted education in Sudan: Reviews from a learning-resource perspective

Cited by 2 publications

References 23 publications

Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments

Artificial Neural Networks and the Actiotope Model of Giftedness—Clever Solutions from Complex Environments

Humanistic Counseling and Student Learning Motivation

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