Social Media Use and Academic Performance among K12 School Students

Social Media Use and Academic Performance among K12 School Students

 

Kavita Roy1, Khritish Swargiary2

1Guest Faculty, Department of Education, Bongaigaon College, India

2Research Assistant, EdTech Research Association, India

Kavitaroy811@gmail.com, Khritish@teachers.org

 

Abstract: This study, conducted by the EdTech Research Association with Kavita Roy as a co-author, meticulously designed and executed a research methodology to investigate the impact of social media use on learning and academic achievement among K12 school students. The methodology employed a randomized control trial (RCT), incorporating both a control group and an experimental group, with the latter engaging in social media activities for a designated period. To ensure an unbiased distribution of characteristics, a diverse sample of 200 K12 school students from two private schools in Delhi, India, underwent random assignment. Ethical considerations were strictly adhered to, with no disclosure of academic records. Quantitative and qualitative research tools, such as standardized tests, teacher assessments, and self-reports, were utilized to collect data over a three-month period. Pre- and post-experimental measures, including baseline assessments and evaluations of academic performance, learning engagement, and social media usage, were conducted. In terms of results, the findings underscored the discernible impact of social media use on K12 school students. A summarized presentation in Table 1 highlighted changes in self-reported social media usage, academic performance, teacher evaluations, and student self-reports. Notably, the experimental group exhibited an increase in daily social media usage, accompanied by a decrease in academic performance. Teacher evaluations indicated a slight decrease in engagement for the experimental group, contrasting with an increase in the control group. Similarly, student self-reports revealed a decrease in engagement for the experimental group. These findings contribute valuable insights into the nuanced dynamics between social media exposure and academic outcomes among K12 students.

 

Keywords: Social Media, Academic Performance, Learning Engagement, K12 students, India.

 

INTRODUCTION

 

The relevance of social media for today’s youth frequently prompts educators to investigate the added value of utilizing these platforms for educational purposes (e.g., Bate, 2010). Nevertheless, a significant number of teachers perceive social media in classrooms as disruptive (Selwyn,2010). Educators seem to grapple with the dilemma between potential pedagogical uses and the alluring distraction posed by this technology (Rosen, Carrier, & Cheever, 2013). Frequently, a lack of technical pedagogical content knowledge to enhance teaching with social media exacerbates this dilemma (Van Acker, Van Buuren, Kreijns, & Vermeulen, 2011).

Defining social media is argued to be elusive (Tess,2013). However, the notion of social media can be summarized as encompassing internet applications supporting the creation and exchange of user-generated content, requiring a certain degree of self-disclosure, and allowing for a specific level of social presence (Kaplan & Haenlein, 2010). Carr and Hayes (2015), in an attempt to provide a more precise and future-proof definition, condensed social media as:

Social media are internet-based channels that enable users to opportunistically interact and selectively self-present, either in real-time or asynchronously, with both broad and narrow audiences who derive value from user-generated content and the perception of interaction with others. (Carr & Hayes,2015)

Existing literature reviews on social media and education underscore the pedagogical use of specific applications and channels, such as wikis (Trocky & Buckley,2016), Twitter (Aydin, 2014; Forgie et al., 2013), or Facebook (Yang, Wang, Woo, & Quek,2011), and scrutinize (improvement of) learning outcomes. Although educational software, like learning management systems, increasingly incorporates social media-like functionalities, it often appears to restrict aspects like self-presenting and types of audiences.

Earlier reviews differentiated the researchers’ desire for a successful use of social media in classrooms and the often-feeble empirical evidence for this success (e.g., Tess, 2013). Some authors highlight that social media were never designed for pedagogical purposes (Bruneel, De Wit, Verhoeven, & Eelen, 2013; Kuiper, Volman, & Terwel, 2005), while others use this as a starting point for research (Taylor, King, & Nelson, 2012). These reviews also demonstrated that the evidence for enhancing learning outcomes often relies on self-reports (Hew & Cheung, 2013). To our knowledge, only one extensive existing review on 951 articles discussed multiple aspects of the complex whole of factors and effects (CASE, 2011). However, this review was confined to descriptions of these factors, rather than offering explanatory relations. One broader perspective meta-analysis of 40 years of research on ICT and learning revealed a small yet significant increase in learning outcomes caused by ICT use in classrooms (Tamim, Bernard, Borokhovski, Abrami, & Schmid, 2011).

Both empirical studies and literature reviews that analyze pedagogical use of internet applications, such as social media, mainly concentrate on partial aspects. For example, the relationship between internet applications and reading skills (Takacs, Swart, & Bus, 2015), between internet applications and information literacy (Mills, 2010), or pedagogical approaches that suit Web 2.0 in secondary or higher education (Hew & Cheung, 2013).

The emphasis on partial aspects, instead of an integrated perspective of social media in education, impedes understanding of what is known as the hidden curriculum: societal, institutional, or lecturers’ values that are transmitted unconsciously to students (Cotton, Winter, & Bailey, 2013). Edwards (2015) elucidated how software, or rather computer code, is never objective and reinforces existing preferences of, for instance, teachers.

With the prevalent integration of social networking sites into the lives of college students, investigating the correlation between the utilization of these platforms and academic performance has evolved into a significant research pursuit (Doleck & Lajoie, 2018; Koranteng et al., 2019; Liu et al., 2017; Tafesse, 2020). A plethora of studies, spanning various years, has delved into this subject, contributing to the expanding body of literature (Doleck & Lajoie, 2018; Masrom et al., 2021). Yet, the findings remain notably inconclusive (Astatke et al., 2021), with some research indicating a detrimental link between social networking site use and academic achievement (e.g., Junco, 2015; Karpinski et al., 2013; Tafesse, 2020), while others highlight a positive association (e.g., Park et al., 2018; Samad et al., 2019; Sarwar et al., 2019). It is worth noting that much of the existing research relies heavily on students' self-reports to gauge their social networking site activity (Astatke et al., 2021; Doleck & Lajoie, 2018). This method, however, is susceptible to measurement errors due to students underestimating their usage, prompting a shift towards utilizing software programs and mobile applications for more accurate tracking (e.g., Felisoni & Godoi, 2018; Giunchiglia et al., 2018; Wang et al., 2015). These advancements, coupled with the utilization of institutional records for assessing academic performance, have mitigated the challenges associated with self-reported data. Nevertheless, even recent studies often frame the relationship between social networking site use and academic performance in linear terms. In our study, we posit that the conventional linear model may not fully encapsulate the intricate dynamics between social networking site use and academic performance. We argue for a more nuanced perspective, suggesting an inverted U-shaped relationship. The variability in reported positive and negative effects in the literature (Astatke et al., 2021; Masrom et al., 2021; Raza et al., 2020) implies that the outcomes may depend on the intensity of social networking site use. For example, excessive usage could hinder academic performance by diverting time from studies or necessitating multitasking (Alt, 2015; Junco, 2015; Kapriniski et al., 2013; Marker et al., 2018). Conversely, moderate use may contribute positively by fostering collaborative learning and providing information and entertainment values (Al-Qaysi et al., 2021; Hoi, 2021; Lampe et al., 2015; Lemay et al., 2020; Raza et al., 2020). Previous research has also highlighted that not all social networking site use is detrimental (Lemay et al., 2020). Ellison and Boyd (2013) defined social networking sites as "a networked communication platform in which participants (1) have uniquely identifiable profiles that consist of user-supplied content, content provided by other users, and/or system-level data; (2) can publicly articulate connections that can be viewed and traversed by others; and (3) can consume, produce, and/or interact with streams of user-generated content provided by their connections on the site" (p. 180). This definition underscores three key features of social networking sites. Firstly, these platforms enable users to create distinct profiles enriched with user- and system-supplied information, including biographic details, self-descriptions, photos, interests, and activities (Ellison & Boyd, 2013). This information facilitates online peer-to-peer networking by revealing users' identities (Kane et al., 2014; Zhang & Leung, 2015). Secondly, social networking sites allow users to declare connections that others can view and explore, typically manifested in friends lists, followers lists, group memberships, liked pages, and more. These public connections aid users in understanding others' social ties, further facilitating networking activities (Ellison & Boyd, 2013). Zhang and Leung (2015) assert that the ability to explore other users' connections and activities is an innovative feature unique to social networking sites. Lastly, these platforms enable users to engage with the content produced by their connections, creating a dynamic cycle of online interaction and engagement, which is vital to the vitality of social networking sites (Masrom et al., 2021; Smith, 2017). College students heavily rely on social networking sites for daily communication, entertainment, and information needs (Ansari & Khan, 2020; Doleck et al., 2018; Ifinedo, 2016; Lemay et al., 2020). Research tracking students' social media habits indicates substantial daily time spent across multiple platforms such as Facebook, Twitter, Instagram, YouTube, and Snapchat (Alhabash & Ma, 2017; Dumpit & Fernandez, 2017; Felisoni & Godoi, 2018; Smith, 2017; Wang et al., 2015). These platforms serve various purposes for college students, including opinion sharing, information acquisition, entertainment, self-documentation, self-expression, and social interactions, among others (Alhabash & Ma, 2017; Chawinga, 2017; Lemay et al., 2020). Additionally, the educational use of social networking sites, such as accessing course information, organizing group work, receiving feedback, and interacting with instructors, has been documented in the literature (Al-Qaysi et al., 2021; Al-Rahmi et al., 2020; Ansari & Khan, 2020; Hoi, 2021; Raza et al., 2020; Smith, 2017).

Taken together, many of these reviews reported barriers to using social media in class (e.g., Henderson, Snyder, & Beale, 2013; Minocha, 2009), such as the fear of losing control over students (Tess, 2013), lack of ICT skills (Minocha, 2009), and potential distractions of social media (Piotrowski, 2015). In contrast to these barriers, research also reports affordances, such as engagement and student motivation. Reviews often also reported uncertainty about the effectiveness of social media for improving learning outcomes. Nonetheless, social media are attributed with great potential for enhancing education.

 

LITERATURE REVIEW

 

1)      A research paper titled "Towards an understanding of social media use in the classroom- 2020” by Antoine Van Den, Marieke Thurlings and Myrthe Willems, elucidates that the significance of social media in the lives of today’s youth frequently prompts educators to explore its educational potential. However, educators often find themselves grappling with the delicate balance between leveraging social media for pedagogical purposes and succumbing to its alluring distractions. The present comprehensive review of literature aspires to offer a synthesis of the conditions and outcomes crucial for a thoughtful, evidence-based incorporation of social media in education, with a focus on teacher professional development. The study is guided by a conceptual model encompassing the intended curriculum at the school level, the implemented curriculum at the teacher level, and the attained curriculum at the student level. The examination covered 271 articles, subjected to analysis through framework synthesis. The articulation of conclusive statements on conditions and outcomes related to social media in educational settings was often impeded by ambiguous results and the suboptimal quality of the studies. Nevertheless, the identified factors encompassed elements such as school culture, attitudes toward social media, support mechanisms, teacher professional development, learning objectives, and a defined position within the curriculum. The paper concludes with considerations and practical advice for educators.

2)      A study by "Mehmood, S., & Taswir, T. (2013). The effects of social networking sites on the academic performance of students in the College of Applied Sciences, Nizwa, Oman. International Journal of Arts and Commerce, 2(1), 111-125." delved into the pedagogical impacts of social networking sites on undergraduate students at the College of Applied Sciences (CAS), Nizwa, Oman. Educational nodes such as blogs, wikis, tweets, RSS feeds, discussion boards, and podcasts formed integral components of this extensive network. The research meticulously presented the usage patterns of these web2.0 applications, shedding light on their influence on linguistic and social behaviors among young learners. A demographic segmentation approach constructed a comprehensive framework for evaluating the popularity of social tools and e-learning technologies among learners. The empirical evidence revealed classroom and social software as transformative paradigms that contributed to the formation of knowledgeable societies among the youth. The study rigorously examined variables that gauged the effectiveness of these social tools in facilitating knowledge sharing and enhancing the general awareness of student communities.

 

The study into the observed phenomena led to the formulation of research objectives, each designed to deepen our understanding of the complex dynamics between social media use and academic performance, teacher-perceived engagement levels, and self-reported student engagement.

1)      To Examine the Causal Link between Social Media Use and Academic Performance.

2)      To Understand the Impact of Social-Media on Teacher-Perceived Engagement Levels.

3)      To Investigate Discrepancies in Self-Reported Engagement.

These research objectives collectively form a comprehensive approach to unraveling the intricate connections between social media usage and various facets of the educational experience. They guide further investigations into the underlying mechanisms and contributing factors, providing a basis for informed strategies aimed at mitigating any adverse impacts on student learning.

 

METHODOLOGY

 

The methodology employed in this study was meticulously developed and executed by faculty members and staff of the EdTech Research Association, with Kavita Roy serving as a co-author and actively contributing to the design and implementation of the research. In terms of research design, the experimental study utilized a randomized control trial (RCT) to systematically investigate the effects of social media use on learning and academic achievement among K12 school students. Both a control group and an experimental group were meticulously included, with the latter directed to engage with popular social media platforms for a specified period, while the former refrained from such activities. The RCT design facilitated a robust comparison of outcomes between the two groups, enabling a thorough exploration of the causal relationship between social media engagement and academic performance. Concerning the research sample, a total of 200 K12 school students were selected through random sampling from two private schools situated in a diverse urban setting in Delhi, India. The objective of the random assignment was to guarantee an unbiased distribution of characteristics among participants assigned to either the control or experimental group. The intentional selection of this diverse sample aimed to augment the generalizability of findings across various demographic backgrounds and educational settings. In adherence to ethical considerations, no academic records, whether pertaining to individual students or schools, were disclosed to maintain the confidentiality of personal details. A combination of quantitative and qualitative research tools was employed to collect data. Standardized tests objectively assessed academic performance, offering concrete measures of students' knowledge and understanding. Learning engagement was evaluated through teacher assessments, encompassing observations and evaluations, while student self-reports captured subjective perceptions of engagement. Additionally, participants in both groups provided self-reported data on their daily interactions with social media platforms such as Facebook, Instagram, and Twitter. The research procedure spanned three months, during which participants adhered to their assigned group guidelines. The experimental group seamlessly integrated social media use into their daily routine, adhering to specified time limits, while the control group abstained from such engagement. Pre- and post-experimental measures, including baseline assessments of academic performance, learning engagement, and initial social media usage, were meticulously collected. Post-experimental data were then gathered to assess changes in these variables, allowing for a comprehensive analysis of the impact of social media use on K12 school students' learning and achievement. Overall, the research procedure aimed to provide valuable insights into the nuanced dynamics between social media exposure and academic outcomes.

 

RESULTS

 

In the conducted study, an examination of pre- and post-experimental measures encompassing academic performance, learning engagement, and self-reported social media usage revealed a diverse array of outcomes. These findings effectively underscored the discernible impact of social media utilization on 200 K12 school students. A conspicuous differentiation in percentages between the control group and the experimental group was succinctly encapsulated in Table 1, which presented the summarized results in percentage format, as delineated below.

 

Table 1: Pre and Post Experimental Summarised Results

Measure

Pre-Experimental Results

Post-Experimental Results

Self-Reported Social Media Usage

Control Group

55% of students used daily

57% of students used daily

Experimental Group

60% of students used daily

75% of students used daily (↑)

Academic Performance (%)

Control Group

Mean test score: 87.5%

Mean test score: 89.1% (↑)

Experimental Group

Mean test score: 86.2%

Mean test score: 81.7% (↓)

Teacher Evaluations

Control Group

90% highly engaged

91% highly engaged (↑)

Experimental Group

88% highly engaged

82% highly engaged (↓)

Student Self-Reports

Control Group

92% actively engaged

94% actively engaged (↑)

Experimental Group

89% actively engaged

78% actively engaged (↓)

Note:

  • ↑ indicates an increase.
  • ↓ indicates a decrease.

The investigation into self-reported social media usage unveiled distinctive trends between the control and experimental groups. In the control group, there was a marginal increase from 55% to 57% in students reporting daily social media use, indicating relatively stable engagement. In contrast, the experimental group experienced a substantial 15% surge, elevating daily social media use from 60% to 75%. This notable increase suggests that the experimental conditions successfully fostered heightened engagement with social media platforms, reflecting a positive response to the prescribed integration. Analysing academic performance revealed divergent trajectories. The control group exhibited a positive trend, with a slight increase in mean test scores from 87.5% to 89.1%. Conversely, the experimental group experienced a decline, with mean test scores decreasing from 86.2% to 81.7%. This discrepancy underscores a potential negative impact of increased social media use on academic achievement, prompting the need for a more in-depth exploration of contributing factors. Teacher evaluations provided additional insights into nuanced dynamics. While the control group demonstrated a marginal improvement, with teacher-assessed engagement increasing from 90% to 91%, the experimental group exhibited a decrease from 88% to 82%. This implies a potential negative association between heightened social media use and teacher-perceived engagement levels, necessitating an exploration into the mechanisms influencing this observed decline. Analysis of student self-reports uncovered intriguing insights. Despite a perceived increase in self-reported engagement in the control group (92% to 94%), the experimental group reported a substantial decrease from 89% to 78%. This significant discrepancy suggests that students in the experimental group may either underestimate the impact of social media on their engagement levels or face distractions hindering their actual engagement. The collective findings illuminate a complex interplay between social media use, academic performance, and perceived engagement. While the control group exhibited positive trends, the experimental group's outcomes indicate potential challenges associated with increased social media exposure. This underscores the imperative for further research to delve into the underlying mechanisms influencing these results, thereby informing targeted educational strategies to mitigate any adverse impacts on student learning.

 

The investigation into the observed phenomena led to the formulation of research objectives, each designed to deepen our understanding of the complex dynamics between social media use and academic performance, teacher-perceived engagement levels, and self-reported student engagement. The first research objective aims to examine the causal link between social media use and academic performance. This investigation is prompted by the observed decline in academic performance among the experimental group, where mean test scores decreased from 86.2% to 81.7%. The objective is to explore the potential relationship between heightened social media use and academic achievement, with the specific goal of discerning contributing factors that may underlie this decline. The second research objective focuses on understanding the impact of social media on teacher-perceived engagement levels. This objective arises from the observed decrease in teacher-assessed engagement among the experimental group, decreasing from 88% to 82%. The objective is to delve into the potential negative association between increased social media use and teacher evaluations. The exploration seeks to identify underlying mechanisms influencing perceived engagement levels among students. The third research objective addresses the discrepancies in self-reported engagement, particularly the significant decrease observed among the experimental group (89% to 78%), despite a concurrent increase in the control group (92% to 94%). The objective is to analyze whether students in the experimental group may either underestimate the impact of social media on their engagement levels or face distractions that hinder their actual engagement. The aim is to uncover insights into the perceived versus actual impact of social media on student engagement. These research objectives collectively form a comprehensive approach to unraveling the intricate connections between social media usage and various facets of the educational experience. They guide further investigations into the underlying mechanisms and contributing factors, providing a basis for informed strategies aimed at mitigating any adverse impacts on student learning.

 

In the pursuit of enhancing the generalizability of our findings, our study conscientiously selected a diverse sample from two schools within an urban setting. However, it is crucial to exercise caution when extending the results to different demographic backgrounds or educational contexts. The study's specific focus on K12 school students in this particular urban environment may impose limitations on the applicability of our findings to diverse age groups or rural settings. Furthermore, the three-month duration of our study may have imposed constraints on our ability to comprehend the long-term effects of social media use on academic performance. A more extended observation period could have offered a more comprehensive perspective, allowing for a nuanced understanding of the sustained impact of social media engagement over time. The reliance on self-reported data for social media usage introduces potential concerns related to response bias and inaccuracies. Participants may not have accurately recalled or reported their actual engagement with social media platforms, leading to limitations in the precision of the data we collected. In terms of social media platform selection, our study intentionally focused on well-known platforms such as Facebook, Instagram, and Twitter. While this deliberate focus provides valuable insights, it also implies a potential oversight of the impact of other emerging or niche platforms. This limitation may restrict the comprehensiveness of our study's findings. Lastly, the evaluation of learning engagement through teacher assessments introduces an element of subjectivity and individual biases. The variability in teaching styles and expectations among educators may have introduced confounding factors that could impact the reliability of the data related to learning engagement. Acknowledging these limitations is essential for a nuanced interpretation of our study's outcomes.

 

Other Related Work

A study conducted by "Mim, F. N., Islam, M. A., & Kumar, G. (2018). Impact of the use of social media on students’ academic performance and behavior change. Age, 18(20), 150." aimed to explore the influence of social media on students' academic performance. The research involved a structural questionnaire administered to 345 randomly selected students at Mawlana Bhashani Science and Technology University (MBSTU), Tangail, Bangladesh. Employing both univariate and multivariate analyses, the study utilized descriptive statistics for demographic and educational data, while a multiple regression model gauged the impact of social media on academic performance. Results revealed that a significant number of respondents reported negative consequences, such as delayed assignment submissions, reduced study time, and subpar academic performance due to excessive engagement on social media platforms. Interestingly, some students acknowledged positive outcomes, including involvement in terrorist and militant activities, as well as a heightened inclination towards political issues spurred by social media exposure. Consequently, the study recommended leveraging social media for educational purposes, expanding social networking sites, creating new pages to bolster academic activities, preventing setbacks in students' academic performance, and advocating for vigilant monitoring by teachers and parents of students' social media usage.

 

A comprehensive set of recommendations was developed based on the findings of a study that thoroughly investigated the impact of social media usage on learning and academic achievement among K-12 school students. These recommendations were crafted with the goal of providing guidance to educators, parents, and policymakers in optimizing the educational environment for students in the digital age. Educational modules focusing on responsible and effective social media usage were integrated into school curricula. This initiative aimed to equip students with critical skills, enabling them to navigate social media platforms with discernment, distinguishing between productive and non-productive engagement. Encouraging a balanced approach, guidelines were established to dictate the appropriate duration and timing of social media engagement, emphasizing the importance of maintaining a healthy equilibrium between online and offline activities. Comprehensive digital literacy programs were implemented to enhance students' ability to critically evaluate information, identify credible sources, and navigate potential pitfalls associated with misinformation on social media. Simultaneously, professional development programs were offered to educators, empowering them with the skills to effectively leverage social media in the educational process. To monitor student engagement on social media platforms, mechanisms were established, coupled with support systems to address any challenges that might arise. Open communication between students, teachers, and parents regarding online activities was actively encouraged. Social media platforms were strategically integrated into collaborative learning activities, facilitating group discussions, knowledge sharing, and collaborative projects to harness their potential for enhancing teamwork and knowledge dissemination. Parental education initiatives were implemented to inform parents about the impact of social media on academic performance and learning engagement. Active parental involvement in guiding and monitoring their children's social media activities was strongly encouraged, fostering a supportive home environment. Awareness campaigns were launched within schools and communities to inform students about the potential consequences of excessive social media use on academic performance, promoting a culture of responsible digital citizenship. Beyond traditional social media giants, efforts were made to investigate and incorporate alternative digital learning platforms designed specifically for academic purposes. Ongoing research on the impact of emerging and niche social media platforms was actively encouraged to stay abreast of technological developments and their potential effects on learning outcomes, allowing for timely adjustments to educational strategies. Periodic assessments of the impact of social media integration on academic performance and learning engagement were conducted. These assessments played a crucial role in refining educational strategies and adapting to the evolving digital landscape. Multidisciplinary research initiatives involving educators, psychologists, technologists, and sociologists were supported to gain a holistic understanding of the complex interplay between social media usage and academic performance. In essence, these comprehensive recommendations aimed to strike a delicate balance between leveraging the educational benefits of social media and mitigating potential challenges. By fostering responsible usage, providing necessary support structures, and staying informed about technological advancements, educational stakeholders collaborated to create an environment where social media could contribute positively to academic success.

 

CONCLUSIONS

 

In the course of this study, meticulously drawn by the faculty members and staff of the EdTech Research Association, with active collaboration from co-author Kavita Roy, the employed methodology aimed to comprehensively explore the intricate relationship between social media use and learning outcomes among K12 school students. The randomized control trial (RCT) design, executed with precision, facilitated a robust comparison between the control and experimental groups, allowing for a systematic investigation of the causal link between social media engagement and academic performance. The research sample, carefully selected through random sampling from diverse urban schools in Delhi, India, aimed to ensure an unbiased distribution of characteristics. Ethical considerations were paramount, leading to the protection of personal details and academic records to maintain confidentiality. Employing a mix of quantitative and qualitative tools, the study collected data on academic performance, learning engagement, and self-reported social media usage. The results painted a nuanced picture, revealing distinctive trends between the control and experimental groups. Notably, the experimental conditions led to a substantial increase in daily social media use, indicating a positive response to the prescribed integration. However, the impact on academic performance showed a decline in the experimental group, prompting a deeper exploration of contributing factors. Teacher evaluations and student self-reports added further layers of complexity to the findings. While the control group exhibited marginal improvements, the experimental group experienced fluctuations, indicating potential challenges associated with increased social media exposure. The results formed the basis for a set of research objectives, directing further investigations into the complex dynamics observed. In conclusion, this study provides valuable insights into the intricate relationship between social media use and academic outcomes among K12 school students. The results, while illuminating, warrant further investigation into the underlying mechanisms influencing these outcomes. The research objectives outlined pave the way for future studies to delve deeper into the complex interplay observed, ultimately informing targeted educational strategies to optimize student learning in the digital age.

 

Author’s Contributions

Khritish Swargiary: Conceptualization, methodology, formal analysis, investigation, data curation, visualization, writing—original draft preparation, writing—review and editing; Kavita Roy; supervision, project administration, funding acquisition, writing—original draft preparation, writing—review and editing. All authors have read and agreed to the published version of the manuscript OR The author has read and agreed to the published version of the manuscript.

 

Data Accessibility Statement

·        The datasets generated and/or analysed during the current study are available in the [Khritish Swargiary] repository, [RESEARCHGATE.NET]

·        All data generated or analysed during this study are included in this published article [and its supplementary information files].

 

Ethics and Consent

 

I, KHRITISH SWARGIARY, a Research Assistant, EdTech Research Associations, India hereby declares that the research conducted for the article titled “Social Media Use and Academic Performance among K12 School Students” adheres to the ethical guidelines set forth by the EdTech Research Association (ERA). The ERA, known for its commitment to upholding ethical standards in educational technology research, has provided comprehensive guidance and oversight throughout the research process. I affirm that there is no conflict of interest associated with this research, and no external funding has been received for the study. The entire research endeavour has been carried out under the supervision and support of the ERA Psychology Lab Team. The methodology employed and other assessment tools utilized in this study have been approved and provided by ERA. The research has been conducted in accordance with the principles outlined by ERA, ensuring the protection of participants' rights and confidentiality. Ethical approval for this research has been granted by the EdTech Research Association under the reference number 13-08/ERA/2020. Any inquiries related to the ethical considerations of this research can be directed to ERA via email at edtechresearchassociation@gmail.com. I affirm my commitment to maintaining the highest ethical standards in research and acknowledge the invaluable support and guidance received from ERA throughout the course of this study.

 

Acknowledgements

Not Applicable.

 

Funding Information

Not applicable.

 

Competing Interests

The authors have no competing interests to declare.

 

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