Analysis of perceptual, psychological, and behavioral factors that affect the academic performance of education university students.

Beltrán-Velasco, Ana Isabel; González, Macarena Donoso; Clemente-Suárez, Vicente Javier

doi:10.1016/j.physbeh.2021.113497

Cited by 23 publications

(18 citation statements)

References 42 publications

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“…Can persistence or perseverance be too high so that it becomes maladaptive in real-life contexts-for instance, inflexibility in cognitive tasks? It is possible, but at least one study did not find evidence of different psychological inflexibility between low vs. high academic performers [10]. The topic of BP and/or depletion is relevant also in present challenges.…”

Section: Discussionmentioning

confidence: 90%

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Evidence for a Behaviourally Measurable Perseverance Trait in Humans

Määttänen

Makkonen

Jokela

et al. 2021

Behavioral Sciences

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The aim was to create and study a possible behavioural measure for trait(s) in humans that reflect the ability and motivation to continue an unpleasant behaviour, i.e., behavioural perseverance or persistence (BP). We utilised six different tasks with 54 subjects to measure the possible BP trait(s): cold pressor task, hand grip endurance task, impossible anagram task, impossible verbal reasoning task, thread and needle task, and boring video task. The task performances formed two BP factors. Together, the two-factor solution is responsible for the common variance constituting 37.3% of the total variance in the performances i.e., performance times. Excluding the impossible anagram task, the performance in any given task was better explained by performances in the other tasks (i.e., “trait”, η2 range = 0.131–0.253) than by the rank order variable (“depletion”, i.e., getting tired from the previous tasks, η2 range = 0–0.096).

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Section: Discussionmentioning

confidence: 90%

“…Mask wearing induces perception of mental fatigue [9]. On the other hand, psychological inflexibility was not associated with academic performance [10]. It is an open question as to how BP would be reflected in real-life behaviour or outcomes.…”

Section: Introductionmentioning

confidence: 99%

Evidence for a Behaviourally Measurable Perseverance Trait in Humans

Määttänen

Makkonen

Jokela

et al. 2021

Behavioral Sciences

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“…Future research with larger samples must help understand the psychophysiological stress response in these demanding contexts. In this approach, analyzing the influence of different behavioral factors such as psychological, physical activity, nutrition, and psychological profiles [ 70 , 71 ] may help to obtain a better comprehension of the stress response allowing for multidisciplinary interventions in this kind of population, in particular and in general populations exposed to large stress environments. Having more objective data on the pilot’s psychophysiological workload during flying tasks would be beneficial for the selection process concerning the different types of aircraft and to pilots, as well as for the missions assigned, and it could also be used as one more predictor of their performance [ 53 , 54 ].…”

Section: Discussionmentioning

confidence: 99%

The Effect of Expertise during Simulated Flight Emergencies on the Autonomic Response and Operative Performance in Military Pilots

Santos

Parraça

Fernandes

et al. 2022

IJERPH

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Heart rate variability (HRV) and performance response during emergency flight maneuvers were analyzed. Two expert pilots (ages 35 and 33) and two rookie pilots (ages 25) from the Portuguese Air Force participated in this case–control report study. Participants had to complete the following emergency protocols in a flight simulator: (1) take-off engine failure, (2) flight engine failure close to the base, (3) flight engine failure far away from the base, and (4) alternator failure. The HRV was collected during all these maneuvers, as well as the performance data (the time it took to go through the emergency protocol and the subjective information from the flight simulator operator). Results regarding autonomic modulation showed a higher sympathetic response during the emergency maneuvers when compared to baseline. In some cases, there was also a higher sympathetic response during the emergency maneuvers when compared with the take-off protocol. Regarding performance data, the expert pilots accomplished the missions in less time than the rookie pilots. Autonomic modulation measured from HRV through portable devices can easily relay important information. This information is relevant since characterizing these maneuvers can provide helpful information to design training strategies to improve those psychophysiological responses.

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“…In a distance personalized learning system, resources can be allocated for the individual learning needs of the students [ 23 ]. The Weka tool built by Belan Velasco et al integrates various data mining algorithms into an interactive interface, which includes a variety of data preprocessing, categorization, degradation, regression, clustering, correlation rules, and optimization [ 24 ].…”

Section: Related Workmentioning

confidence: 99%

Higher Education Management and Student Achievement Assessment Method Based on Clustering Algorithm

Wang

2022

Computational Intelligence and Neuroscience

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Monitoring and guiding instructional management require student performance evaluation. Traditional evaluation and analysis methods based on absolute scores, on the other hand, have certain flaws and are unable to fully reflect the information contained in student performance, thus limiting the impact of student performance evaluation on teaching and learning management. Data mining is regarded as the backbone technology for future information processing, and it introduces a new concept to the way humans use data. Schools must analyse and evaluate the performance of students in the same grade level and secondary school in a timely and staged manner. Clustering is a type of data mining that uses similarity rules to classify sample data into groups with a high degree of similarity. To address the difficulties caused by the wide variation in course difficulty in student performance evaluation, a method based on the K-means clustering algorithm is proposed. The K-means algorithm and the improved K-means algorithm with student information are investigated. The test results showed that the K-means clustering algorithm, the improved algorithm in this paper, and the fast global mean clustering algorithm all cluster the same randomly generated data set with noisy points, but the clustering time of the algorithm in this paper is only 0.04, which has obvious advantages. As a result, the clustering algorithm-based higher education management and student performance evaluation mechanism provides some insights for future research on student learning patterns. It is hoped that instructional administrators will gain a better understanding of students’ learning characteristics so that they can better guide their teaching.

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Analysis of perceptual, psychological, and behavioral factors that affect the academic performance of education university students.

Cited by 23 publications

References 42 publications

Evidence for a Behaviourally Measurable Perseverance Trait in Humans

Evidence for a Behaviourally Measurable Perseverance Trait in Humans

The Effect of Expertise during Simulated Flight Emergencies on the Autonomic Response and Operative Performance in Military Pilots

Higher Education Management and Student Achievement Assessment Method Based on Clustering Algorithm

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