Research Article | Volume 2 Issue: 2 (March-April, 2025) | Pages 330 - 336
Student perspective on Faculty Incivility and its impact on Learning Engagement: A moderating role of Locus of Control
 ,
 ,
1
Professor, University Business School, Panjab University, Chandigarh, India
2
Research Scholar, University Business School, Panjab University, Chandigarh, India
Under a Creative Commons license
Open Access
Received
Jan. 12, 2025
Revised
Feb. 8, 2025
Accepted
March 17, 2025
Published
April 9, 2025
Abstract

Faculty incivility and learning engagement are examined in this study using locus of control (LOC) as moderator. A survey on 321 college students from Chandigarh (UT), India, was conducted. The data was analyzed using Smart PLS4. By demonstrating locus of control as a moderating factor between faculty incivility and learning engagement, findings supported the predicted hypotheses. Learning engagement was significantly impacted by faculty incivility. Further, LOC has a favorable impact on learning engagement. At low LOC there is highest impact of faculty incivility on learning engagement. However high LOC dampens faculty incivility and learning engagement relationship. Study results sheds light on ways to lessen the detrimental impact of faculty incivility on students’ learning process

Keywords
INTRODUCTION

Behavior that disrupts a peaceful and collaborative learning environment is termed as classroom incivility (Feldmann, 2001). An environment of disrespect for one another in educational institutes can be fostered by both students and teachers. Learning environment could be severely harmed by uncivil behavior on the part of faculty and students. Braxton et al. (2011) observed that incivility phenomenon has gotten worse because students are not blamed for such behavior. Instead, they focus on the rude behaviors of the faculty members toward the students in the classroom, such as being late for classes and absence, offensive humor, demeaning remarks, public humiliation, and other various forms of insults.

 

Since the majority of incivility research focuses on the causes and consequences of workplace incivility (Schilpzand et al., 2016). Various studies have focused on figuring out what causes faculty incivility (FI) and how it affects students' perceptions and the consequences of those perceptions (Caza & Cortina, 2007). Even though incivility is primarily linked to organizations, it has recently been expanded to encompass conflictual relationships outside of the traditional dyadic between managers and employees. For example, manager-customer relationships and work-family conflict are examples of conflict that may arise from managers acting in an uncivil manner at work. The study of incivility has been expanded to encompass instances of incivility that occur in higher education as well (Lim & Lee, 2011).

REVIEW OF LITERATURE

2.1 Faculty Incivility

Students claimed that incivility from the teachers had an impact on their physical and mental health (Clark, 2008). Using an interpretative qualitative research approach, the study examined perceptions of faculty over incivility in nursing education about its probable causes and solutions. Four categories were identified through a narrative analysis: student disruptions in and out of class, teacher’s uncivil conduct, and potential reasons for uncivil behavior in nursing education (Clark & Springer, 2007).

 

2.2 Locus of Control

The key work on social learning theory gave rise to the locus of control (Rotter, 1966). The construct was given the full name Locus of Control of Reinforcement by Rotter.

It has been discovered that internal locus of control orientation and achievement are correlated. Academic performance, learning qualities have all been studied in relation to LOC. Students with self-confidence in knowledge and abilities can succeed quickly and receive excellent grades. defined as “The locus of control is a dimension of personality; it helps to explain one's traits and behavior”(Rotter, 1966). Students' cognitive, emotional, and behavioral responses in academic success and in and outside of the classroom contexts are significantly correlated with locus of control (Chubb et al., 1992).

 

2.3 Learning Engagement

Numerous scholars have attempted to conceptualize "student engagement," which is a multidimensional idea. Student engagement has been extensively studied. In earlier decades, researchers have given it a great deal of attention (Reschly & Christenson, 2022). As per Fredricks et al.(2004) there are three characteristics of involvement—behavioral, cognitive, and emotional—combine to form student engagement. Participation in extracurricular activities, attendance, school-related behavior, and learning contributions are all examples of behavioral student involvement.

Perceived academic task relevance and use of fundamental cognitive processes for the conception of multidimensional notions are a part of the cognitive framework (Wang & Eccles, 2012). The final element is the way students feel about their classes and schools; their emotional component includes how they interact with their teachers and peers.

 

2.4 Faculty Incivility and Learning engagement

Incivility interrupts the learning process, causes financial waste, and causes mental and physical strain(Bai et al., 2020). Classroom incivility and learning engagement have been discovered to have a negative correlation (Malodia & Butail, 2023). Learning engagement is negatively and significantly impacted by classroom incivility(Cahyadi et al., 2021; Ramadhany & Anggraeni, 2022). Students who are disengaged are more likely to become disinterested in their studies, to not establish intellectual connections with their teachers and peers, and to act uncivil as a result (Cicotti, 2012).

 

2.5 LOC and Learning Engagement

LOC significantly impacts both learning outcomes and behavioral intentions (Yang et al., 2017). Locus of control was not substantially correlated with either accomplishment or retention (Tobin & Capie, 1982). Both intrapersonal and interpersonal religious commitment were major pathways from LOC to academic involvement (Chukwuorji et al., 2018).

 

Students who experienced workplace loneliness had lower levels of student engagement conditioned to internal LOC. Learning engagement would therefore be present for the student with a high internal LOC (Singh et al., 2020). Students with a high internal LOC would take responsibility for their performance and accepted criticism for their scores and lack of effort in the class (Hopkins et al., 2020).

 

2.6 Moderating effect of Locus of Control

In a study, it was found that student disrespect had a higher detrimental effect on learner engagement when there was low LOC (Cahyadi et al., 2021).

 

Figure 1. Conceptual model

2.7 Hypotheses

H1: Faculty incivility negatively and significantly impacts learning engagement.

H2: LOC positively and significantly impacts learning engagement.

H3: LOC moderates faculty incivility and learning engagement relationship.

METHODOLOGY

3.1 Sampling

Population consisted in this study are students of Chandigarh's public and private colleges. For the objective of gathering data, eleven colleges in Chandigarh were approached and simple random sampling technique was opted. After deleting inactive responses and outliers, 321 responses in total were taken into account for the analysis. It had 130 females (40%) and 191 males (60%) in total. The sample consisted of 66 (20%) postgraduate students and 255 (80%) undergraduate students. The survey was completed by 206 (64%) students from public institutions and 115 (36%) students from private colleges. In 2024, the data was gathered between July and September.

3.2 Research Instruments

Five-point Likert Workplace Incivility Scale (WIS) with twelve items developed by (Cortina et al., 2001) was used in this study to measure faculty incivility. Alpha for faculty incivility was 0.958. The seven-point nine items Likert student Version (UWES-S) scale developed by (Schaufeli et al., 2002) was used to measure learning engagement. There are three dimensions of the measure. First dimension is Vigor, second is dedication, and third is absorption. Cronbach’s Alpha for learning engagement was 0.861. The six point eight items Likert scale developed by (Levenson, 1981) was used in this study to measure LOC. Cronbach’s Alpha for LOC was 0.893. Cronbach Alpha should be or greater than 0.70  (Nunnally, 1978). The alpha values for all the subscales used for the study were found to be more than 0.70.

 

Table 1. Variables and scales

Variables

Likert Scale

Items

Author

Cronbach's Alpha

Faculty Incivility

Five Point

12

Cortina et al., 2001

0.958

Learning Engagement

Seven Point

17

Schaufeli et al., 2002

0.861

Locus of Control

Five Point

24

Levenson, 1981

0.893

 

RESULTS

4.1 Common method bias

The model is free from of common method bias Common method bias as VIF values are less than 3.33 (Kock,2015).

 

Table 2. Variance Inflation Factor (VIF)

 

VIF

FI -> LE

1.231

LOC -> LE

1.051

LOC x FI -> LE

1.176

 

 

 

4.2 Measurement model

Measurement model evaluated construct’s validity and reliability. Item in model has a factor loading with  minimum permissible value 0.50 or more (Hair et al., 2010). Loading more than 0.70 is preferred (Hair et al., 2019). Between 0.40 and 0.70 outer loadings should only be discarded if doing so raises the AVE or CR values above suggested level (Hair et al., 2017). Since the results for the construct were already below the suggested threshold, the item (LE7, Loading=0.173) has been deleted from the current study as it would have significantly decreased the composite reliability and AVE (see Table 3).

 

Cronbach's alpha and CR values for both are above permissible value of 0.70 (Wasko & Faraj, 2012). So, There is strong reliability if value is above 0.70 (Henseler et al., 2016). Since AVE was more than 0.500, convergent validity was determined to be satisfactory. Discriminant validity was established comparing correlations of latent variable with square root of AVE (Fornell & Larcker, 1981). Also, correlations' HTMT ratio is below 0.85 (Henseler et al., 2015) (see Table 3, 4 & 5).

 

Table 3. Measurement Model

Factors

Indicators

Loadings

Alpha

CR

AVE

VIF

Measurement Model Assessment at First Order

Faculty Incivility

FI1

0.813

0.958

0.963

0.686

2.735

FI2

0.831

2.958

FI3

0.833

3.139

FI4

0.844

3.491

FI5

0.841

3.442

FI6

0.833

2.908

FI7

0.714

2.252

FI8

0.892

4.848

FI9

0.815

3.222

FI10

0.777

2.565

FI11

0.861

3.606

FI12

0.867

 

 

 

3.884

Vigor

LE1

0.664

0.840

0.882

0.555

1.551

LE2

0.705

1.68

LE3

0.766

1.756

LE4

0.758

1.988

LE5

0.812

2.126

LE6

0.756

1.685

Dedication

LE8

0.855

0.904

0.933

0.777

4.848

LE9

0.914

3.222

LE10

0.908

3.007

LE11

0.846

2.225

Absorption

LE12

0.778

0.883

0.909

0.626

2.1

LE13

0.836

2.477

LE14

0.726

1.775

LE15

0.751

1.962

LE16

0.827

2.125

LE17

0.822

1.972

Measurement Model Assessment at Second Order

Learning Engagement

 

 

 

 

Internal Locus of Control

 

 

External Locus of Control

VI

0.869

0.861

 

 

 

 

 

0.914

0.915

 

 

 

 

 

0.945

0.781

 

 

 

 

 

0.851

1.97

DE

0.922

2.593

AB

0.859

2.256

 

 

 

IS

 

POS

 

CS

 

 

 

0.899

 

0.929

 

0.939

 

 

 

 2.887

 

3.592

 

3.187

 

 

 

 

 

 

 

Measurement Model Assessment at Third Order

Locus of Control

Internal

 

External

0.963

 

0.936

0.893

0.948

0.902

2.86

 

2.86

                     

Source: (Survey Data SMART PLS4 Results)

CR= Composite Reliability, AVE= Average Variance Extracted, VIF= Variance Inflation Factor

 

Table 4. Cross Loadings

 

01. CI

02. VI

03. DE

04. AB

LOC

CI1

0.813

-0.176

-0.275

-0.129

0.21

CI2

0.831

-0.136

-0.235

-0.078

0.171

CI3

0.833

-0.175

-0.244

-0.137

0.128

CI4

0.844

-0.117

-0.289

-0.096

0.188

CI5

0.841

-0.075

-0.25

-0.084

0.201

CI6

0.833

-0.165

-0.236

-0.091

0.195

CI7

0.714

-0.074

-0.127

-0.035

0.241

CI8

0.892

-0.158

-0.273

-0.12

0.197

CI9

0.815

-0.084

-0.169

-0.073

0.189

CI10

0.777

-0.094

-0.198

-0.104

0.153

CI11

0.861

-0.132

-0.277

-0.115

0.185

CI12

0.867

-0.173

-0.318

-0.14

0.141

LE1

-0.132

0.664

0.464

0.359

0.121

LE2

-0.101

0.705

0.47

0.419

0.106

LE3

-0.143

0.766

0.446

0.385

0.21

LE4

-0.056

0.758

0.418

0.469

0.211

LE5

-0.156

0.812

0.587

0.597

0.205

LE6

-0.131

0.756

0.638

0.583

0.218

LE8

-0.213

0.633

0.855

0.591

0.137

LE9

-0.303

0.638

0.914

0.666

0.145

LE10

-0.303

0.585

0.908

0.684

0.144

LE11

-0.229

0.556

0.846

0.695

0.152

LE12

-0.077

0.508

0.583

0.778

0.121

LE13

-0.094

0.476

0.583

0.836

0.171

LE14

0.005

0.381

0.468

0.726

0.189

LE15

0.05

0.467

0.493

0.751

0.19

LE16

-0.151

0.624

0.673

0.827

0.174

LE17

-0.212

0.532

0.677

0.822

0.163

IS

0.176

0.208

0.11

0.158

0.899

CS

0.213

0.256

0.196

0.238

0.939

POS

0.203

0.217

0.131

0.17

0.929

Source: (Survey Data SMART PLS4 Results)

 

Table 5.  Discriminant Validity by Fornell-Larker and HTMT

 

CI

VI

DE

AB

LOC

CI

VI

DE

AB

LOC

CI

0.828

 

 

 

 

 

 

 

 

 

VI

-0.164

0.745

 

 

 

0.171

 

 

 

 

DE

-0.302

0.683

0.881

 

 

0.308

0.777

 

 

 

AB

-0.127

0.639

0.749

0.791

 

0.135

0.717

0.816

 

 

LOC

0.211

0.243

0.153

0.201

0.950

0.229

0.267

0.167

0.224

 

Source: (Survey Data SMART PLS4 Results)

4.3 Structural model

It depicts paths hypothesized in conceptual model. Structural model is based on R2, Q2 and significance of paths.

Source: (Survey Data SMART PLS4 Results)

 

Table 6. Direct Relationships

 Hypotheses

Path coefficients

SD

t values

p values

       Decision

H1: FI -> LE

-0.217

0.060

3.608

      0.000

Accepted

H2: LOC -> LE

 0.281

0.062

4.537

0.000

Accepted

H3: LOC x FI -> LE

-0.159

0.069

2.307

0.021

Accepted

R2 LE= 0.156

 

Q2 LE=0.124

 

 

 

 

 

             

Abbreviations: BI-bias corrected confidence interval; FI- faculty incivility; LOC- locus of control; LE- learning engagement

The goodness of model is established by R2 value (Peñalver et al., 2018). Value of R2 ought to be equal or more than 0.1 (Falk & Miller, 1992). R2 values are greater than 0.1, as indicated in Table 6. Thus, it has established predictive capacity. Moreover, Q2 proves the endogenous constructs' predictive significance. Model predictive significance is shown by a Q2 above 0. Hypotheses testing is summarized in Table 6.

LE was significantly impacted by FI (β = -0.217, t=3.608, p < .05), thereby supporting H1. Moreover, significant association was established in LOC and LE (β = 0.281, t=2.307, p < .05), therefore, supporting H2. Also, LOC moderates FI and LE relationship (β = -0.159, t=2.307, p < .05), therefore supporting H3.

 

Figure 2. Moderation

               Source: (Derived from Jeremy Dawson’s Excel Sheet)

              Where, FI=Faculty Incivility, LOC= Locus of Control, LE= Learning Engagement

 

At low locus of control there is highest impact of faculty incivility on learning engagement. However high LOC dampens the faculty incivility and learning engagement relationship.

CONCLUSION

Three hypotheses were framed and tested. All the hypotheses were supported. The study results showed that faculty incivility negatively impacts learning engagement. The study examined whether faculty incivility impacts learning engagement or not, and further LOC moderates this relationship or not. Study also examined the relationship between LOC and learning engagement. Results showed that faculty incivility impacts learning engagement negatively. There was a significant association established between LOC and learning engagement. Moderation results showed that at low locus of control there is more faculty incivility and it impacts their learning engagement. It shows students with high LOC are able to cope up with faculty incivility and there was no impact of it on their learning. However high LOC dampens faculty incivility and learning engagement relationship.

 

Implications of the study

This study made some useful recommendations for fostering civility in classroom, such as how to successfully respond to and handle uncivil behavior. Incivility has been recognized as a real issue in education. The educators must understand that incivility in the classroom negatively impacts student's capacity to learn. In addition, there must be strict disciplinary measures that give teachers and students a way to handle uncivil behavior in the classroom. This approach consists of having open conversations, promoting mutual respect, and enforcing strict laws against rude conduct.

 

Limitations

Despite its contributions and ramifications, this research has certain limitations also. In this study, respondents were students only. This study only identified uncivil behavior experienced from the perspective of students. Teacher’s perspective might be different. Further studies needed to examine teacher’s perspective also. The scope of the study only included public and private colleges of Chandigarh, India. Further studies can explore other geographical areas with large sample size. Further, longitudinal study on these variables might give more clear results.

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