Survey Results

SurveyResults

AaronSalinas

AngeloState University

SurveyResults

Thestudy explains the role of technological advancements in theeducation environment. School counselors can use technology toimprove the training experience. The findings and recommendations ofthe study will be used to ensure effective adoption of technology inthe training process of the counselors. The research also indicatesthe significance of technology in improving the competencies andperformance of the counselors.

  1. Research Questions, Hypothesis, and Unknowns

Theresearch has three research questions. The questions are important inachieving the aim of the research and also in addressing the researchproblem. The main purpose of the research is determining thetechnology usability levels among the school counselors. Thetechnology usage is critical in achieving the training requirementsof the school counselors. The research questions are:

  1. What is the effect of technological advancements in improving the level of counseling training?

  2. What is the accessibility rate of the technological devices by the student counselors?

  3. What is the significance of education institutions in enhancing the usability rate of the available technologies by the student counselors?

Theresearch has three broad hypotheses that aim at addressing theresearch problem. Hypotheses are valuable because they enable theresearcher to predict measures that address the research questions,problems, and challenges. Effective use of technology improvestraining. This is because school counselors get the opportunity toaccess learning resources using Information Technology. The threealternative hypotheses employed in the study are:

  1. Technology advancements improve the training of the school counselors.

  2. The technological devices are accessible by the school counselors.

  3. Education institutions are significant in assisting learners use technology in achieving training needs in the area of counseling.

Threeresearch unknowns can be determined from the research questions. Thefirst unknown is if technological applications enhance the trainingof students in the field of counseling. Training provides essentialskills, knowledge, and experience that can be used by learners toachieve training goals. The second unknown is if counselors inlearning institutions easily access technological devices. Themanagement of learning institutions should allocate sufficientresources for technology adoption. The third unknown is if learninginstitutions have measures to improve technology usability. Learninginstitutions can improve usability by increasing the availability oftechnology devices to the counselors.

  1. Explanation About Research

Theresearch aims at determining the level of technology, usability byschool counselors in the training process. Currently, there are highlevels of technology usage by organizations. It is, therefore,important to understand how the technological advancements have beenapplied in the learning environment. Students are expected to usetechnology advancements to improve education outcomes. Technologyenables counselors to research and keep records effectively.Counselors can use the internet to research information about theemerging trends in the counseling profession. Computer databasesimprove the information management process. The counselors easilystore, analyze, and retrieve data using offline and online computerdatabases.

  1. Variables, Sampling, and Data Collection

Thefirst research question generates independent and dependentvariables. The dependent variable varies. It is the effects oftechnological advancements. The independent variable is constant. Itis enhancing counseling training. The second research questionaddresses technology device availability to the counselors. Thequestion generates an extraneous variable that influences thedependent variable. Accessibility of the devices by school counselorsinfluences the dependent variable, which is the effect oftechnological advancements. The third question indicates the role oflearning institutions in enhancing technology usability. Apart fromthe independent variable, other factors influence the dependentvariable (Taylor, Bogdan, &amp DeVault, 2015). Resource allocationis one of the factors that improve technology usage.

Thedata collection method used in the research is survey (Taylor,Bogdan, &amp DeVault, 2015). The survey was administered online. Itcollected standardized data for example, technology skill level anddemographic information. The survey provided first-hand informationabout available technologies in education institutions. Probabilitysampling is applied in the research because the participants arepredetermined. The research respondents are Educators.

  1. Tables and Figures

Table 1.

Demographic Characteristics of Test and Measurements

Characteristics

Frequency

(n = 85)

Mean

(%)

Median (Mdn)

Std. Dev. (SD)

Variance

(S2)

Gender

Male (1)

22

25.8

2

0.44

0.21

Female (2)

63

74.1

Age

Under 25 (1)

14

16.5

2

0.81

0.67

25-35 (2)

42

49.4

36-45 (3)

23

27.1

Over 45 (4)

6

7.1

Program

Guidance Counseling (1)

45

52.9

1

1.21

1.44

Educational

Administration(2)

14

16.5

Curriculum &amp Instruction (3)

10

11.8

Student Development &amp Higher Education (4)

15

17.6

Other (5)

1

1.2

Hour

0-12 (1)

47

55.3

1

0.73

0.53

15-24 (2)

26

30.6

27 or more (3)

11

12.9

Note.From the survey taken, we can see that students taking Test andMeasurements are predominantly female, between the ages of 25 and 35and are pursuing a Masters in Guidance Counseling.

1.1 Demographic Characteristics of Angelo State University Test and Measurement Class Fall-A 2015-2016

Figure 1. Gender percentage of students Figure 2. Age ranges percentage of students

Figure 3. Graduate program of interest

Figure 1,2, &amp 3 show that an overwhelming percentage of Test and Measurement students are females, between the ages of 25-35 and are pursuing a masters of guidance counseling.

This is not a surprising stat since the majority of counselors and teachers in the state of Texas fall within the same demographic range.

Table 2.

Student Skill Set With Technology

Skill

M

Std. Dev

(SD)

Variance

(S2)

Phone

Using a mobile phone to connect to the internet

4.65

0.65

0.59

Sending video or picture messages to other people’s phones or emails

4.49

0.78

0.75

Computer

Using the computer to do basic things such as get on the internet, send emails, and make documents

4.57

0.74

0.71

Locating websites on the internet through a web browser

4.57

0.71

0.66

Using search engines such as Google, Yahoo, or Bing to find websites and documents.

4.61

0.76

0.73

  1. Statistical Measures

Thestatistical measures used in the study are frequencies, mean, median,standard deviation, and variance (Lund Research, 2016). Frequenciesare used to show the number of participants in each demographiccategory. The total number of participants in the study is 85. 22participants are male, while 63 participants are female. The measuresof central tendencies used in the survey are mean and median. Themajority of the participants are between 25 and 32 years. Theseparticipants are 42, and they represent an average of 49.4%. Themedian number of counseling students who use smartphones to accessthe internet is 4.65. Standard deviation and variance are employed inthe research to measure the spread of data. The standard deviation ofthe participants who use websites for education purposes is 0.71.Education students who use online search engines for example, Googleand Bing, have a variance of 0.73. The statistical measures arenecessary for recording, presenting, and analyzing research data.

  1. Data Analysis and Findings

Theresearch team uses both male and female participants. The femaleparticipants are the majority at 74%. The males comprise theremaining 26%. The research team also used participants from diverseresearch groups. Four age groups were used in the research: under 25,25-35, 36-45, over 45. The majority of the participants (49%)belonged to the 25-35 age level. All the participants are graduatestudents. They pursue four academic programs: guidance counseling,educational administration, curriculum and instruction, and studentdevelopment and higher education. The majority of the researchparticipants (53%) are postgraduate students pursuing guidancecounseling. The students use four major technology platforms in thelearning process. These technologies are mobile phones, picture andvideo messages, personal computer, websites, and search engines.

  1. Discussion

Mostpracticing counselors and students pursuing undergraduate andgraduate training in counseling are female. This is the reason whythe research sample has 74% female participants. The sample is arepresentation of the counselor population in Texas and also theentire United States. The majority of the participants (49%) isyouthful, between 25 and 35 years. The graduate program is dominatedby professionals in the early stages of their careers. The researchsample, therefore, has young students. The research places moreemphasis on technology usage by counseling students. This is thereason why the majority of the participants are graduate studentsstudying guidance counseling.

Graduatestudents use technology to improve learning outcomes. Informationtechnology is critical in learning because it enhances informationgeneration and exchange. Students use mobile phones to access theinternet. The phones, therefore, enhance online research andcommunication. Video and picture message to improve learning.Students share video tutorials through the web and social mediaplatforms. The computer is a critical component of learning. Studentscommunicate and access online databases critical for learning usingthe internet. There are scholarly websites that have databases ofjournal articles and books. Students access relevant learningresources through the websites. There are three popular searchengines for graduate students: Google, Bing, and Yahoo (Gleick,2013). Students use the search engines to identify resources that areimportant in learning.

References

Gleick,J. (2013).TheInformation: A History, a Theory, a Flood.New York: Pantheon Books.

LundResearch. (2016). Measures of Central Tendency. Retrieved from https://statistics.laerd.com/statistical-guides/measures-central-tendency-mean-mode-median.php

Taylor,S., Bogdan, R. &amp DeVault, M. (2015).Introduction to qualitative research methods: A guidebook andresource.New York: John Wiley &amp Sons.