This work aims to examine the relationship between general self-regulated learning abilities and students' general intellectual abilities, mathematical learning abilities, and academic achievement. A ...study was conducted with a sample of eighth-grade students (N=325). The research employed a survey and descriptive method, and the instruments used included a test of general intellectual abilities, a test of self-regulated learning abilities, a test to measure mathematical learning abilities, and a standardized math knowledge test. Based on the obtained results, we indicate those factors with high or moderately high correlations. Among the results obtained, there is a high correlation between general intellectual abilities and general self-regulated learning abilities (subtests for interpreting graphs and interpreting geographic maps). The results show a high correlation between the total score on the self-regulated learning abilities test and math achievement. A moderately high correlation was achieved between the test of general intellectual abilities and self-regulated learning abilities (subtests for finding necessary information, exploring new material, and the index of developed abilities and techniques for self-regulated learning). On the math learning ability test, various abilities are differentiated, including formalization of mathematical content, spatial abilities, imagination, flexibility, and critical thinking. Based on the research results, it is considered significant to investigate the effects of different innovative teaching systems and teaching methods on students' self-regulated learning abilities and mathematical learning abilities.
The rapid development of information technology has made a wide range of cutting-edge technologies accessible, supporting the flourishing of human existence. Modern technology has made it possible ...for new computer-based technological strategies like gamification. The pedagogical framework is based on the "gamification" game format, which is one of the most recent teaching strategies and has an engaging component for students. Gamification, flipped learning, and problem-based learning are three examples of the technical aspect of escape rooms. In the academic setting, gamification aims to boost student engagement and motivation in order to produce a better user experience. Gamification has been found to increase levels of participation, foster it, and improve activity outcomes. Gamification is recommended in educational settings to improve students' achievement, focus, and contentment in light of these benefits. In order to establish an effective learning environment where students may effectively improve their learning capacities and boost their performance, it can be difficult to select a higher performing technique among the available techniques due to the ongoing use of gamification techniques. The fuzzy analytical hierarchy process (FAHP) and evaluation based on distance from average solution (EDAS) are applied in order to determine the criterion weighting and assess the techniques in order to make a good decision. The presented paper analyzed numerous game-based learning techniques along with their applications in the educational field. Additionally, ten criteria and eight gamification methodologies are used to assess and pick the prior pertinent works. By utilizing the suggested approaches, the decision problem has been resolved. The FAHP approach is used in the suggested analysis to evaluate the criteria and determine their weights. Then, using the EDAS method, places are assigned to the chosen procedures based on their evaluation score and criterion weighting. The results of the appraisal show that the gamification technique with the highest production takes first place and is regarded as the best-performing and most successful technique. On the other hand, it is clear that the technique with the lowest production takes the bottom spot and is referred to as the least expensive and lowest performing technique. In order to increase students' motivation, which could have a substantial impact on learning, it has been discovered that gamification is a feasible strategy.
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning ...activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the post-pandemic era remains rather unexplored with formal attempts. The objective of this study is to perform a post-pandemic analysis of online teaching on the students' learning and their academic performance. For the first time for the post-pandemic analysis, a novel and formal theoretical model is proposed, designed, developed, and tested by using the survey method comprising six constructs, Confirmatory Factor Analysis (CFA) and path analysis with Structural Equation Modelling (SEM). This quantitative research was conducted for the students of (HEIs) who have experienced e-teaching using digital technologies. The main contributions of the paper include the findings for (a) improving the scenario of online teaching-learning from the students' learning perspective (b) enlightening teachers on understanding the students' behaviour better and accordingly aligning their teaching approaches, and (c) planning of evaluations for enhancing the academic performance of the students. This research will provide the future directions to the technology-mediated teaching-learning.
Prenatal maternal stress (PMS) influences many facets of offspring’s phenotype including morphology, behaviour and cognitive abilities. Recent research suggested that PMS also induced epigenetic ...modifications. In the present study, we analysed, in the Japanese quail, the effects of PMS on the emotional reactivity and cognitive abilities of the F1 offspring. We also investigated in the hippocampus, the paraventricular hypothalamic nucleus and subnuclei of the arcopallium/amygdala the level of two histone post-translational modifications, H3K4me2 and H3K27me3, known to be impacted by stress. We found that PMS does not affect F1 quail’s learning abilities but increases their emotional reactivity. Moreover, we demonstrated that PMS induced an increased density of H3K27me3 positive cells, in the hippocampus, paraventricular hypothalamic nucleus and dorsal nucleus of the amygdala, but not variations of H3K4me2. As these brain regions are involved in the control of vertebrates’ emotional responses, the effect of PMS on the epigenetic mark H3K27me3 could possibly be a mechanism involved in the behavioural effects we observed in F1 quail.
•Prenatal maternal stress increases F1 offspring’s emotional reactivity but has no effect on their learning abilities.•Prenatal maternal stress influences epigenetic marks in the F1 offspring’s brain.•Those epigenetic changes were observed in brain structures involved in the control of vertebrates’ emotional reactivity.
There are several programs that aim to strengthen the bond between families and schools that have shown a positive impact on this relationship as well as its effectiveness in improving academic and ...socioemotional child indicators. Most of the studies in this area come from Anglo-Saxon countries while in Latin America research is still scarce. Thus, this study aims to assess the influence of implementing an Ecological, Participatory, Integral and Contextualized Family-School Collaboration Model (EPIC) on family involvement, social-emotional development, and cognitive test outcomes in children in elementary school. Three possible hypotheses have been considered: (1) The EPIC Family-School Collaboration Model will have a positive and significant influence on the level of family involvement; (2) The EPIC Family-School Collaboration Model will have a positive and significant influence on the results of some cognitive tests; and; (3) The EPIC Family-School Collaboration Model will have a positive and significant influence on child social-emotional development. The study included 171 students who attended second and third elementary grades in schools in Chile during 2017 and fourth and fifth grades during 2019. The children were between 7 and 12 years old (M = 8.17,
= 0.98), during 2017 and between 9 and 14 years old (M = 9.88,
= 0.99), during 2019. The results show that the EPIC Family-School Collaboration Model has a positive and significant influence on the level of home-based involvement, memory and attention and intrapersonal skills in the first cycle of elementary education.
Stress alters the ability to form, recall and maintain memory according to the Yerkes-Dodson/Hebb (YDH) law. The effects of environmentally relevant stressors, such as low environmental calcium and ...crowding, on learning and memory have previously been described in a laboratory-reared 'average' strain of
(i.e. the Dutch strain) as well as two strains of freshly collected
with enhanced memory formation abilities (i.e. 'smart' snails). Here, we use
to study the effects of other environmentally relevant stressors on memory formation in two other strains of freshly collected snails, one 'smart' and one 'average'. The stressors we examined are thermal, resource restriction combined with food odour, predator detection and, for the first time, tissue injury (shell damage). We show that the same stressor has significantly different effects on memory formation depending on whether snails are 'smart' or 'average'. Specifically, our data suggest that a stressor or a combination of stressors act to enhance memory in 'average' snails but obstruct memory formation in 'smart' snails. These results are consistent with the YDH law and our hypothesis that 'smart' snails are more easily stressed than 'average' snails.
We have followed a birth cohort from 2008 to 2009 near a dioxin-contaminated area of Da Nang, Vietnam, and investigated the effects of perinatal dioxin exposure on neurodevelopment from infancy to ...pre-school age. The present study aimed to investigate the effects of perinatal dioxin exposure on the learning abilities of the elementary-school children from the Da Nang birth cohort.
From 241 mother–infant pairs recruited at baseline (134 boys and 107 girls), 185 (76.8%) participated in a follow-up when the children were 8 years of age (108 boys and 77 girls). The children's perinatal dioxin exposure was estimated using the dioxin levels in their mothers' breast milk. The Colorado Learning Difficulties Questionnaire (CLDQ) was used to evaluate the children's learning difficulties. Math- and language-achievement scores were obtained using paper-based tests. Reading fluency was examined by having the children read passages in Vietnamese.
In boys exposed to high levels of 2,3,7,8-tetrachlorodibenzodioxin (2,3,7,8-TetraCDD), CLDQ reading scores were significantly higher (worse), and language achievement scores were significantly lower. Boys exposed to high levels of 2,3,7,8-TetraCDD as well as high levels of the toxic equivalent (TEQ) of polychlorodibenzodioxins and polychlorodibenzofurans (PCDDs/Fs) had higher numbers of reading errors. Reading errors were higher and math achievement scores were lower with increasing concentrations of 1,2,3,4,7,8-HexaCDD and 1,2,3,4,6,7,8-HeptaCDD. In girls, no significant differences of any learning ability markers were found between high and low exposure groups to TEQ-PCDDs/Fs and these 3 congeners.
Perinatal dioxin exposure may have adverse effects on the learning abilities of school children, especially boys.
Due to its automatic feature learning ability and high performance, deep learning has gradually become the mainstream of artificial intelligence in recent years, playing a role in many fields. ...Especially in the medical field, the accuracy rate of deep learning even exceeds that of doctors. This paper introduces several deep learning algorithms: Artificial Neural Network (NN), FM-Deep Learning, Convolutional NN and Recurrent NN, and expounds their theory, development history and applications in disease prediction; we analyze the defects in the current disease prediction field and give some current solutions; our paper expounds the two major trends in the future disease prediction and medical field—integrating Digital Twins and promoting precision medicine. This study can better inspire relevant researchers, so that they can use this article to understand related disease prediction algorithms and then make better related research.
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