(t-value)
Note: ∗ |t|> 1.96 and p-value = 0.05.; ∗∗ |t| > 2.57 and p-value = 0.01; ∗∗∗ |t| > 3.291 and p-value = 0.001.
Regarding motivations, interest motivation impacts computer use positively, as concluded by other similar findings ( Rohatgi et al., 2016 ), i.e. the more interested students are in computers, the more they use them. Nonetheless, it negatively influences academic achievement and computer self-efficacy, concluding that the bigger the interest motivation, the more the use of computers but the lower the achievement and the computer self-efficacy. These two negative relations are quite controversial compared to the literature. However, it may mean that the more interest in computers, the more use for recreational purposes, negatively impacting academic achievement ( Rashid and Asghar, 2016 ). The more interest students have in computers, the more knowledge of using the devices, and the perceived efficacy starts to decrease. Thus further research is needed to draw any conclusions on this.
Computer confidence has a strong positive effect on computer self-efficacy, meaning that the perceived computer self-efficacy increases when the confidence in the device is higher, as stated in similar findings ( Hatlevik and Bjarnø, 2021 ). Although, we cannot conclude there is a relation between computer confidence and academic achievement. All the previous results allow us to reflect on the influence that the computer-related variables studied have on the student performance, contributing with data for future research and confirming our first contribution of the study.
The loneliness construct, used as a measure of coronavirus effects, negatively influenced academic achievement, as expected. While students were in lockdown having remote classes, without any presential contact with their school, teachers, and colleagues, the feeling of loneliness and isolation negatively impacted their performance indeed, as observed in our results. These results confirm our contribution to understanding how the COVID-19 pandemic influences students’ academic achievement. Recent studies found negative impacts of loneliness ( Roy et al., 2020 ) on students, demonstrating the importance of cooperating with colleagues ( Torres-Díaz et al., 2016 ). However, there are yet no results of the direct impact of loneliness deriving from the pandemic on academic achievement.
There are three moderation hypotheses using family size and computer self-efficacy. From the family size moderator, we can conclude that family size influences the relation between school environment and academic achievement. In Figure 3 , we can see that when the family size decreases, the negative impact the school environment has on academic achievement increases, suggesting that the smaller the family, the students tend to have worse grades when studying in a school environment. Regarding family size in the relation between computer use and academic achievement, shown in Figure 4 , when the family size decreases, computer use is more important to explain academic achievement because when the family is small, students need to use the computer more to achieve better results. Relating to the computer self-efficacy moderator, in Figure 5 , it impacts the relationship between employment motivations and academic achievement positively, meaning that the better students perceive their computer self-efficacy, the stronger positive impact employment motivation has on academic achievement. This effect can be explained due to the increase of technological jobs: students who feel more capable in their computer skills (with a higher computer self-efficacy) and are more motivated to pursue a technological career have higher academic achievement. These results allow us to confirm our second contribution, the investigation of the moderation effect family size and computer self-efficacy.
Structural model (variance-based technique) for academic achievement.
In this study, we found that marital status does not have any effect on academic achievement, but mothers' education has a positive impact on students' achievement, reinforcing the literature ( Abosede and Akintola, 2016 ).
Academic achievement is a widely topic studied because there is an ongoing concern for understanding the factors that lead to better academic achievements. Since students practically depend on computers for school nowadays, we tried to relate the most studied computer variables in the literature with academic achievement, expecting results that answer the gaps identified in the literature. To our knowledge, no study has yet provided a conclusion on the influence of loneliness provoked by the COVID-19 pandemic on academic achievement, neither of interest and employment motivations on AA. Moreover, there is no consensus in the literature on the influence of the use of computers for fun and academic performance. We can contribute to the literature with the answers to these questions: students who feel lonely have worse academic achievement, students motivated by an interest in computers have worse academic achievement and students motivated by the expectation of having a good job have better grades. Also, enjoyable computer attitudes negatively influence academic achievement, so the students who find the computer a good tool for recreational purposes have worse grades.
Contrary to the literature, we found that computer confidence does not influence academic achievement; apart from this, we concur with the available results published by other researchers. There are clear positive implications on using computers in education, and consequently, in students' outcomes. Therefore, teachers and parents should encourage using computers in adolescents' education to improve their school performance and future.
The present study has some limitations that point to future research directions on the role of students' academic achievement and its predictors. First, the data collected does not have sufficient diversity in country dispersity and gender balance since most participants were girls hailing from Portugal. Also, better results can be obtained with a more significant sample. Secondly, the fact that we are going through a pandemic forced schools and students to attend classes online, which on the one hand, is an advantage because it provides the opportunity to study loneliness deriving from the pandemic. On the other hand, it could bias the students' answers to the questionnaire and the subsequent results because their opinion on computers could have changed during home-schooling compared to the usual previous schooling method since the literature is related to regular presential school attendance.
In further research, other factors regarding loneliness should be studied to understand the impact of coronavirus on students' lives better, comparing pre-pandemic and pandemic daily computer usage. Other factors such as addiction to technology should be analysed.
This study proposes a theoretical model on the influence of several computer factors on the academic achievement of high school students. The results, in general, empirically support the literature in similar findings. The proposed conceptual model explains 31.1% of academic achievement. We found that students who use computers for recreational purposes or feel that a computer is a tool to "pass the time" or play games are those who have the worst grades. We can conclude this through the negative relation between enjoyment attitudes and academic achievement. Nevertheless, there is no relation between students who perceive computers as an educational tool and their academic achievement. We believe this conclusion results from how teenagers use their computers and smartphones excessively, not prioritising the use for school, leading to the observed results. Our results also show that there are still stereotypes about who uses computers most. Respondents believe that peers who play sports do not have the same likelihood of using computers excessively, and those that frequently use computers are not sociable. This mindset leads to less confidence in computers.
A significant conclusion was found regarding the computer use environment, though the mediation effect of computer use. When students use the computer at home, they need to use it frequently to influence their academic achievement, but when students use the computer at school, it will influence their academic achievement positively independently of the frequency of use. However, the frequency of computer use itself influences academic achievement. As we expected, the feelings of loneliness associated with the coronavirus negatively influence students' academic achievement, an important new conclusion in the literature. The moderation effect on family size allows us to conclude that students with a smaller family tend to have worse grades when studying in a school environment and need to use computers more to have better school results than those in larger families. Moreover, the moderation effect on computer self-efficacy lets us conclude that students who perceive better computer self-efficacy, have better grades and academic achievement is influenced by employment motivation.
Author contribution statement.
Sofia Simões: Conceived and designed the experiments; Performed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.
Tiago Oliveira: Conceived and designed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.
Catarina Nunes Analyzed and interpreted the data; Wrote the paper.
This work was supported by FCT (Fundação para a Ciência e a Tecnologia) under project DSAIPA/DS/0032/2018 (DS4AA).
Declaration of interests statement.
The authors declare no conflict of interest.
No additional information is available for this paper.
Constructs | Items | Author |
---|---|---|
Educational attitudes | EdA1 – Computers are fascinating | ( ) |
EdA2 – A computer is an educational tool | ||
EdA3 – A computer is an effective learning tool | ||
EdA4 – One can learn new things from a computer | ||
EdA5 – You can learn a lot from using a computer | ||
Stereotypes attitudes | SA1 - People who like computers are often not very sociable | ( ) |
SA2 – People who like computers are usually weird | ||
SA3 – I would not expect a good athlete to like computers | ||
SA4 – People who like computers are often squares | ||
Enjoyment attitudes | EjA1 – Working with a computer is a good way to pass the time | ( ) |
EjA2 – I prefer computer games to other games | ||
EdA3 – The computer stops me from getting bored | ||
EdA4 – I use the computer when I have nothing else to do | ||
Home environment | HE1 – I work with a computer at home most of the time | ( ) |
HE2 – When I am at home, I am always using a computer | ||
School environment | SE1 – Most of my teachers encourage me to learn with computers | |
SE2 – The computer learning facilities at my school are good | ( ) | |
SE3 – I use computers at school a lot | ||
Interest motivations | IM1 – I enjoy using computers | ( ) |
IM2 – I would take any opportunity to use computers | ||
IM3 – I am motivated when I use a computer | ||
Employment motivations | EM1 – Computer skills will be helpful for me to get a good job | ( ) |
EM2 – I will need adequate computer skills for my future work | ||
EM3 – Computer skills will improve my curriculum | ||
EM4 – I will need a computer to work in my daily job | ||
Computer use | CU1 – The extent of computer use at school | ( ) |
CU2 – The frequency of general computer use at home | ||
CU3 – The frequency of general computer use in school | ||
Computer confidence | CC1 – I feel comfortable working with computers | ( ) |
CC2 – I find using a computer easy | ||
CC3 – I learn more rapidly when I use a computer | ||
Computer self-efficacy | CS1 – I can skillfully use a computer to make a report/write an essay. | ( ) |
CS2 – I can skillfully use a computer to analyse numerical data. | ||
CS3 – I can easily write a simple program for a computer. | ||
CS4 – I can skillfully use a computer to organise information. | ||
Loneliness | L1 – How often do you feel that you lack companionship? | ( ) |
L2 – How often do you feel left out? | ||
L3 – How often do you feel isolated from others? | ||
Academic achievement | AA1 – Mathematical achievement | ( ) |
AA2 – Verbal achievement | ||
AA3 – Remaining subjects | ||
AA4 – Global achievement in remaining areas. | ||
Family size | FS1: What is your family size? | ( ) |
Parents Marital Status | MS1: What is your parent's marital status? | ( ) |
Mothers' Education | PE1: What is the highest educational level your mother completed | ( ) |
Age | A1: Age | ( ) |
Gender | G1: Gender | ( ) |
Notes: 1, 2, 3, 4, 5, 6, 7, 9, 10 Range scale from 1 (Strongly Disagree) to 5 (Strongly Agree); 8 Range scale from 1 (Never) to 5 (Everyday); 11 Ordinal Scale (Hardly ever, some of the time, often); 12 Ratio scale from 0 to 20 (number); 13 Nominal scale (number); 14 Nominal scale (married, divorced, in a domestic partnership, widowed, other); 15 Ordinal scale (less than high school, high school or equivalent, bachelor's degree, master's degree, doctorate, other); 16 Ratio scale (number); 17 Nominal scale (male, female).
Mean | SD | CR | EdA | SA | EjA | HE | SE | IM | EM | CU | CC | CS | L | FS | MS | ME | AA | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Educational attitudes (EdA) | 4.345 | 0.609 | 0.880 | |||||||||||||||
Stereotypes attitudes (SA) | 1.533 | 0.711 | 0.881 | -0.312 | ||||||||||||||
Enjoyment attitudes (EjA) | 3.425 | 0.941 | 0.849 | 0.307 | 0.023 | |||||||||||||
Home environment (HE) | 3.325 | 0.995 | 0.847 | 0.383 | -0.054 | 0.313 | ||||||||||||
School environment (SE) | 2.559 | 0.888 | 0.780 | 0.176 | 0.001 | 0.042 | 0.246 | |||||||||||
Interest motivations (IM) | 3.837 | 0.814 | 0.845 | 0.481 | -0.125 | 0.473 | 0.466 | 0.233 | ||||||||||
Employment motivations (EM) | 4.230 | 0.716 | 0.854 | 0.473 | -0.145 | 0.142 | 0.360 | 0.227 | 0.292 | |||||||||
Computer use (CU) | 3.557 | 0.799 | 0.284 | -0.065 | 0.170 | 0.557 | 0.449 | 0.394 | 0.353 | |||||||||
Computer confidence (CC) | 4.113 | 0.755 | 0.865 | 0.468 | -0.259 | 0.349 | 0.291 | 0.187 | 0.494 | 0.268 | 0.274 | |||||||
Computer self-efficacy (CS) | 3.930 | 0.779 | 0.846 | 0.353 | -0.259 | 0.173 | 0.344 | 0.151 | 0.235 | 0.371 | 0.279 | 0.516 | ||||||
Loneliness (L) | 2.596 | 1.119 | 0.920 | -0.081 | 0.142 | 0.155 | 0.025 | -0.055 | -0.010 | -0.041 | -0.093 | -0.096 | -0.132 | |||||
Family size (FS) | 3.811 | 1.066 | 1.000 | -0.104 | 0.065 | 0.010 | 0.079 | -0.005 | -0.042 | 0.003 | -0.009 | 0.001 | 0.002 | 0.014 | ||||
Marital status (MS) | 1.000 | 0.000 | 1.000 | -0.078 | 0.072 | -0.042 | 0.027 | -0.100 | -0.052 | 0.059 | -0.002 | 0.016 | 0.003 | -0.057 | 0.152 | |||
Mother education (ME) | 13.291 | 4.006 | 1.000 | 0.087 | -0.009 | -0.061 | 0.002 | -0.091 | -0.076 | 0.107 | -0.034 | 0.006 | 0.131 | -0.117 | 0.025 | 0.070 | ||
Academic achievement (AA) | 14.597 | 2.347 | 0.921 | 0.043 | -0.092 | -0.147 | 0.170 | -0.102 | -0.086 | 0.203 | 0.190 | 0.053 | 0.135 | -0.205 | 0.086 | 0.194 | 0.191 |
Note: Values in diagonal (bold) are the AVE square root.
CC | CS | EjA | HE | SE | EdA | SA | L | EM | IM | AA | |
---|---|---|---|---|---|---|---|---|---|---|---|
CC3 | 0.466 | 0.279 | 0.240 | 0.163 | 0.430 | -0.253 | -0.082 | 0.296 | 0.453 | 0.079 | |
CC4 | 0.505 | 0.273 | 0.190 | 0.131 | 0.344 | -0.248 | -0.147 | 0.237 | 0.354 | 0.110 | |
CC5 | 0.280 | 0.331 | 0.315 | 0.177 | 0.394 | -0.123 | 0.010 | 0.107 | 0.429 | -0.088 | |
CS1 | 0.367 | 0.098 | 0.253 | 0.085 | 0.320 | -0.204 | -0.115 | 0.305 | 0.110 | 0.166 | |
CS2 | 0.324 | 0.089 | 0.184 | 0.067 | 0.219 | -0.133 | -0.083 | 0.282 | 0.149 | 0.052 | |
CS3 | 0.444 | 0.186 | 0.293 | 0.205 | 0.208 | -0.158 | -0.097 | 0.220 | 0.188 | 0.057 | |
CS4 | 0.416 | 0.142 | 0.298 | 0.092 | 0.314 | -0.277 | -0.101 | 0.317 | 0.260 | 0.125 | |
EjA1 | 0.337 | 0.175 | 0.231 | 0.072 | 0.315 | -0.048 | 0.137 | 0.193 | 0.453 | -0.176 | |
EjA2 | 0.240 | 0.118 | 0.259 | -0.035 | 0.199 | 0.085 | 0.023 | 0.075 | 0.322 | -0.116 | |
EjA3 | 0.228 | 0.065 | 0.210 | 0.033 | 0.209 | 0.034 | 0.171 | 0.073 | 0.352 | -0.113 | |
EjA4 | 0.231 | 0.158 | 0.272 | 0.047 | 0.175 | 0.033 | 0.148 | 0.045 | 0.271 | 0.003 | |
HE3 | 0.241 | 0.353 | 0.142 | 0.211 | 0.371 | -0.125 | -0.009 | 0.392 | 0.361 | 0.229 | |
HE4 | 0.266 | 0.221 | 0.443 | 0.214 | 0.275 | 0.060 | 0.062 | 0.202 | 0.457 | 0.037 | |
SE1 | 0.143 | 0.098 | 0.034 | 0.268 | 0.228 | -0.035 | -0.001 | 0.286 | 0.235 | -0.050 | |
SE2 | 0.124 | 0.195 | 0.003 | 0.166 | 0.158 | -0.068 | -0.083 | 0.145 | 0.060 | -0.016 | |
SE3 | 0.144 | 0.056 | 0.051 | 0.104 | 0.004 | 0.095 | -0.048 | 0.063 | 0.197 | -0.151 | |
EdA1 | 0.436 | 0.274 | 0.478 | 0.325 | 0.110 | -0.180 | 0.016 | 0.339 | 0.530 | -0.102 | |
EdA2 | 0.380 | 0.304 | 0.126 | 0.258 | 0.147 | -0.219 | -0.093 | 0.382 | 0.312 | 0.095 | |
EdA3 | 0.348 | 0.251 | 0.155 | 0.307 | 0.199 | -0.258 | -0.144 | 0.321 | 0.357 | 0.050 | |
EdA4 | 0.289 | 0.274 | 0.146 | 0.310 | 0.083 | -0.316 | -0.077 | 0.392 | 0.268 | 0.119 | |
EdA5 | 0.314 | 0.252 | 0.220 | 0.268 | 0.135 | -0.256 | -0.026 | 0.396 | 0.337 | 0.039 | |
SA2 | -0.229 | -0.221 | 0.020 | -0.007 | 0.007 | -0.206 | 0.139 | -0.055 | -0.066 | -0.041 | |
SA3 | -0.263 | -0.209 | -0.023 | -0.089 | -0.029 | -0.370 | 0.110 | -0.200 | -0.197 | -0.095 | |
SA4 | -0.096 | -0.212 | 0.168 | -0.017 | 0.010 | -0.116 | 0.105 | -0.035 | 0.061 | -0.106 | |
SA5 | -0.189 | -0.214 | 0.002 | -0.041 | 0.031 | -0.239 | 0.108 | -0.131 | -0.103 | -0.076 | |
L1 | -0.049 | -0.125 | 0.130 | -0.002 | -0.052 | -0.035 | 0.102 | 0.004 | -0.010 | -0.196 | |
L2 | -0.143 | -0.112 | 0.169 | 0.014 | -0.042 | -0.091 | 0.148 | -0.078 | -0.035 | -0.162 | |
L3 | -0.075 | -0.114 | 0.120 | 0.054 | -0.052 | -0.094 | 0.134 | -0.043 | 0.015 | -0.186 | |
EM1 | 0.261 | 0.262 | 0.215 | 0.262 | 0.199 | 0.418 | -0.066 | -0.065 | 0.309 | 0.123 | |
EM2 | 0.201 | 0.307 | 0.071 | 0.297 | 0.179 | 0.361 | -0.162 | 0.012 | 0.227 | 0.178 | |
EM3 | 0.190 | 0.337 | 0.052 | 0.238 | 0.220 | 0.370 | -0.087 | -0.025 | 0.144 | 0.160 | |
EM4 | 0.186 | 0.223 | 0.129 | 0.331 | 0.089 | 0.317 | -0.134 | -0.062 | 0.253 | 0.163 | |
IM1 | 0.452 | 0.291 | 0.405 | 0.428 | 0.141 | 0.459 | -0.218 | -0.095 | 0.287 | -0.001 | |
IM2 | 0.374 | 0.122 | 0.356 | 0.341 | 0.231 | 0.278 | 0.020 | 0.095 | 0.215 | -0.144 | |
IM4 | 0.350 | 0.108 | 0.384 | 0.342 | 0.219 | 0.418 | -0.056 | 0.012 | 0.182 | -0.095 | |
AA1 | -0.021 | 0.062 | -0.124 | 0.078 | -0.151 | -0.008 | -0.097 | -0.103 | 0.106 | -0.126 | |
AA2 | 0.054 | 0.176 | -0.138 | 0.141 | -0.148 | 0.068 | -0.050 | -0.183 | 0.177 | -0.087 | |
AA3 | 0.080 | 0.096 | -0.117 | 0.170 | -0.024 | 0.023 | -0.043 | -0.182 | 0.192 | -0.038 | |
AA4 | 0.062 | 0.124 | -0.131 | 0.188 | -0.043 | 0.056 | -0.123 | -0.226 | 0.216 | -0.055 |
Constructs | EdA | SA | EjA | HE | SE | IM | EM | CC | CS | L | FS | MS | ME | AA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Educational attitudes (EdA) | ||||||||||||||
Stereotypes attitudes (SA) | 0.354 | |||||||||||||
Enjoyment attitudes (EjA) | 0.347 | 0.122 | ||||||||||||
Home environment (HE) | 0.508 | 0.158 | 0.489 | |||||||||||
School environment (SE) | 0.277 | 0.139 | 0.088 | 0.399 | ||||||||||
Interest motivations (IM) | 0.592 | 0.202 | 0.605 | 0.681 | 0.360 | |||||||||
Employment motivations (EM) | 0.594 | 0.168 | 0.180 | 0.496 | 0.331 | 0.387 | ||||||||
Computer confidence (CC) | 0.580 | 0.294 | 0.450 | 0.434 | 0.285 | 0.658 | 0.340 | |||||||
Computer self-efficacy (CS) | 0.437 | 0.326 | 0.216 | 0.469 | 0.272 | 0.285 | 0.477 | 0.657 | ||||||
Loneliness (L) | 0.114 | 0.169 | 0.207 | 0.066 | 0.091 | 0.109 | 0.074 | 0.131 | 0.160 | |||||
Family size (FS) | 0.109 | 0.086 | 0.043 | 0.096 | 0.081 | 0.043 | 0.075 | 0.028 | 0.011 | 0.015 | ||||
Maritus Status (MS) | 0.079 | 0.067 | 0.070 | 0.031 | 0.130 | 0.079 | 0.065 | 0.039 | 0.023 | 0.061 | 0.152 | |||
Mothers education (ME) | 0.105 | 0.039 | 0.091 | 0.035 | 0.162 | 0.095 | 0.118 | 0.034 | 0.150 | 0.123 | 0.025 | 0.070 | ||
Academic Achievement (AA) | 0.121 | 0.113 | 0.177 | 0.202 | 0.163 | 0.144 | 0.242 | 0.145 | 0.158 | 0.228 | 0.091 | 0.209 | 0.202 |
Ielts essay # 1222 - negative impacts of children playing computer games, ielts writing task 2/ ielts essay:, nowadays many people have access to computers on a wide basis and a large number of children play computer games., what are the negative impacts of children playing computer games what can be done to minimize the bad effects of children playing computer games.
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Using a computer every day can have more negative than positive effects on your children. Do you agree or disagree? Give reasons for your answer and include any relevant examples from your own knowledge or experience.
Technology, for the past few decades, has been the driving force behind mankind’s progress by leaps and bounds in almost every field. Technology, along with the information which it brings, has become an integral part of not only adults but children are also becoming avid users of computers, handheld devices and other gadgets. Although the new generation is becoming more aware of day to day happenings, access of everything brings divergent results as well.
Firstly, abuse of computers by youngsters has led them to waste their time on needless tasks rather than using computers in an efficient way. Facebook and other social media sites have played a devastating role in harming the overall working of an effective society. Children now like to spend hours of their precious time posting and reading useless material. They have access to every kind of information, which is causing children to view restricted content as well.
Secondly and more importantly, computers have barred children from engaging in physical activity as well. Children now prefer to limit themselves in their rooms and want to be lost in the fantasies of the online world. This leads children to be ostracized from today’s social happenings and is turning them into social outliers. I know many of my friends who play games, engage in digital social gatherings and wasting their useful time in mind numbing activities
Changes, in fact mind boggling ones, are taking place at societal level, where the balance of a child’s growth is being seriously challenged. This can be averted through proper control and dedication of parents towards their children. Useful things can become detrimental if employed at a wrong stage.
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