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ASSESSMENT OF FORMS OF TECHNOLOGY ENHANCED LEARNING (TEL) USAGE IN HIGHER EDUCATION IN DELTA AND EDO STATES OF NIGERIA. J.I. IRORITERAYE-ADJEKPOVU, (Ph.D)   PHONE NO.: 08037580882 e-mail: [email protected] DEPARTMENT OF CURRICULUM AND INTEGRATED SCIENCE EDUCATION. - PowerPoint PPT Presentation
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ASSESSMENT OF FORMS OF TECHNOLOGY ENHANCED LEARNING (TEL) USAGE IN HIGHER EDUCATION IN DELTA AND EDO STATES OF NIGERIA. J.I. IRORITERAYE-ADJEKPOVU, (Ph.D) PHONE NO.: 08037580882 e-mail: [email protected] DEPARTMENT OF CURRICULUM AND INTEGRATED SCIENCE EDUCATION. DELTA STATE UNIVERSITY P.M.B. 1 ABRAKA, NIGERIA.
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Page 1: ABSTRACT

ASSESSMENT OF FORMS OF TECHNOLOGY ENHANCED LEARNING (TEL)

USAGE IN HIGHER EDUCATION IN DELTA AND EDO STATES OF NIGERIA.

 

J.I. IRORITERAYE-ADJEKPOVU, (Ph.D)  

PHONE NO.: 08037580882e-mail: [email protected]

  

DEPARTMENT OF CURRICULUM AND INTEGRATED SCIENCE EDUCATION.

DELTA STATE UNIVERSITY P.M.B. 1 ABRAKA, NIGERIA.

 

Page 2: ABSTRACT

ABSTRACT

The study focused on the assessment of forms of Technology Enhanced Learning (TEL) usage in

higher education in Delta and Edo states of Nigeria. The study was a descriptive survey design.

The population comprised of computer science education students of Delta State University

(DELSU) and University of Benin (UNIBEN). Samples of 200 students were drawn from the

population for the study. Three hypotheses were formulated to guard the study. A 29 items 5

point Liket type of scale of strongly agreed, agreed, neutral, strongly disagreed and disagreed

was used as the instrument for data collection. The data were analyzed using t-test at 0.05 level

of significance. The major findings indicate that the facilities and equipments available for (TEL)

are the cybercafés and the computer hardware’s installed in them. Asynchronous forms of (TEL)

was the most commonest form of usage in both institutions of learning. The study concludes

that both asynchronous and synchronous forms of (TEL) should be implemented in higher

education. The government should provide adequate financial support to the institution of higher

learning to enable National University Commission (NUC) to enforce the implementation of (TEL)

in higher education.

Keywords: Assessment, technology enhanced learning and Higher education.

.

Page 3: ABSTRACT

INTRODUCTION

Higher education is the educational level that follows the completion of a secondary school. Its goals

among others in Nigeria are:

1. To contribute to national development through high level relevant manpower training.

2. To acquire both physical and intellectual skills that will enable individuals to be self-reliant and useful

members of the society (National policy, 2004).

The above goals of higher education highlighted it as a significant industry in its own right and a

source of training the right calliber of manpower for the rest of the economy. This significance can only

be meaningful to this fast changing technological knowledge-based economy of the 21 st century if the

outputs of higher education have the digital literacy skills required in their discipline, profession or career.

We are in a century in which new competencies are required of our higher education outputs. It is in the

light of the above that Nigeria for the past three decades has made numerous efforts among others to be

an associate members of the African virtual university (AVU) with a learning centre at the Obafemi

Awolowo University, Ile-Ife (Ogunsote, Omofaye & Pruenal-Ogunsote, 2006). As part of Nigeria efforts to

develop the digital literacy in the outputs of higher education, the National University Commission (NUC)

embarked on technology enhanced project.

Page 4: ABSTRACT

INTRODUCTION CONT.

Concept of technology enhanced learning

Technology enhanced learning is the combination of two methods of course delivery. The face

to face instruction supplemented with synchronous and asynchronous learning.

Forms of technology enhanced learning

Synchronous learning and Asynchronous learning,

Synchronous learning

This form of learning resembles the traditional classroom teaching methods. Irrespective of the

location of the participants, time table is the requirement for them to be organized. Technology that

facilitates this type of learning includes web conferencing, video conferencing, educational television,

direct broadcast satellite (DBS), internet radio, live streaming, telephone and web-based.

Asynchronous learning

This form of learning requires the participant to access course materials at their own scheduled.

Students are not required to be together at the same time. Technology in use includes mail

correspondence, e-mail, message board forums, instant messages, video and audio recording, print

materials, voice mail and fax.

Page 5: ABSTRACT

INTRODUCTION CONT

Beldarrain (2006) affirms that the use of these forms of technology enhanced learning in

education can “accommodate the needs of the 21st century learner by including activities that

allow students to contribute to the learning process at anytime from anywhere” in the same

vain Bates (2009) opines that a major argument for the use of technology enhanced

learning is that “it enables students to develop essential skills for knowledge-based workers”

In developing countries like Nigeria the implementation of technology enhanced learning

is not without challenges. In cases where technology enhanced is implemented. It is …

implemented as components for example e-mail. (Asuuka 2008). In the same vain students

reported distress with Technology Enhanced Learning, attributable mostly to inappropriate

implementation practices that led to such unpleasant experiences as communication

breakdowns and technical difficulties (Hara & Kling, 2003).

It is against this background this study eeks to access forms of technology enhanced

learning (TEL) usage in higher education in Delta State University (DELSU) and University of

Benin (UNIBEN).

Page 6: ABSTRACT

Purpose of the study

Specifically, the study determined

Forms of technology enhanced learning (TEL) usage with students available in DELSU and

UNIBEN

Assess the availability of technology enhanced learning (TEL) facilities and equipments for

students in DELSU and UNIBEN.

Investigate the challenges affecting the effective implementation of technology enhanced learning

(TEL) in DELSU and UNIBEN

Research questions

The research questions answered in this study includes;

What forms of technology enhanced Learning (TEL) usage with students are available in DELSU

and UNIBEN?

What are the available technology enhanced learning (TEL) facilities and equipments for students

in DELSU and UNIBEN?

What are the challenges affecting the effective implementation of technology enhanced Learning

(TEL) in DELSU and UNIBEN.

Page 7: ABSTRACT

Research hypotheses

There is no significant difference between the available forms of technology enhanced Learning

(TEL) usage with students in DELSU and UNIBEN

There is no significant difference between the available facilities for technology enhanced learning

(TEL) for students in DELSU and UNIBEN.

There is no significance difference between the challenges affecting the effective implementation of

technology enhanced learning (TEL) in DELSU and UNIBEN.

METHODOLOGY

Research design

An ex-post-facto type of descriptive survey design was adopted for the study.

Sample and sampling technique

200 computer science education students constitute the sample of the study. A purposive sampling

technique was used in selecting the sample. This was due to the fact that response to the questionnaire

requires understanding of computer and e-learning terminology and knowledge

Page 8: ABSTRACT

METHODOLOGY CONT.

Research instrument

A 29 item questionnaire titled assessment of forms of technology enhanced learning usage

(AFTELU) was used to gather the data for the study.

Reliability of instrument

Test-retest method was used to establish the reliability of the instrument. The generated paired

scores were tested using Person (r) which gave a correlation coefficient of 0.87.

Procedure

The researcher with 4 research assistants visited the department of the sampled

universities to administer the questionnaire to the students. The exercise lasted for 4 weeks.

Method of Data Analysis

The information and data generated from the questionnaire were collected and analyzed. The

research questions were answered using mean and standard deviation; whereas the three null

hypotheses were tested at 0.05 level of significance using the t-test.

Page 9: ABSTRACT

Research hypothesis 1

There is no significant difference between the available forms of technology enhanced Learning (TEL) usage with students in DELSU and UNIBEN

Table 1: Summary of t-test analysis on the significant difference between the available forms of Technology Enhanced Learning (TEL) usage with students in DELSU and UNIBEN.

The calculated t-value of 1.73 is less than the critical t-value of 2.101 at 0.05 level of significant; we therefore accept the null hypothesis. Hence, there is no significance difference between the available forms of Technology Enhanced Learning (TEL) usage with student in DELSU and UNIBEN.

DELSU UNIBEN Mean 118.33 116.67Variance 5151.158 5370.33Observations 10 10Hypothesized Mean Difference 0Df 18t stat 0.05P(T<=t) one tail 0.48t critical one tail 1.73p(T<=t) two tail 0.96t Critical two tail 2.101

Page 10: ABSTRACT

Hypothesis 2 There is no significant difference between the available facilities and equipments for Technology

Enhanced Learning TEL for students in DELSU and UNIBEN. Table 2: Summary of t-test analysis on the available facilities and equipment for Technology Enhanced

Learning (TEL) for students in DELSU and UNIBEN.

The calculated t-value of 1.75 is less than the critical t-value of 2.119 at 0.05 level of significance, we therefore accept the null hypothesis. This implies that there is no significant difference between the available facilities and equipment for Technology Enhanced Learning TEL for students in DELSU and UNIBEN.

DELTA UNIBEN

Mean 82.22 79.01

Variance 2386.07 2529.18

Observations 9 9

Hypothesized Mean Difference 0

Df 16

t stat 0.14

P(T<=t) one tail 0.45

t critical one tail 1.75

p(T<=t) two tail 0.89

t Critical two tail 2.119

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Hypothesis 3

There is no significant difference between the challenges affecting the effective implementation of Technology Enhanced Learning in DELSU and UNIBEN.

Table 3: Summary of t-test analyses on the challenges affecting the effective Implementation of Technology Enhanced Learning (TEL) in DELSU and UNIBEN.

The calculated t-value of 1.73 is less than the critical t-value of 2.101 at 0.05 level of significance, we therefore accept the null hypothesis that there is no significant difference between the challenges affecting the effective Implementation of Technology Enhanced Learning (TEL) in DELSU and UNIBEN

DELSU UNIBEN

Mean 52.67 51.68

Variance 28.53 27.79

Observations 10 10

Hypothesized Mean Difference 0

Df 18

t stat 0.42

P(T<=t) one tail 0.34

t critical one tail 1.73

p(T<=t) two tail 0.68

t Critical two tail 2.101

Page 12: ABSTRACT

DISCUSSION

The hypotheses analyzed indicated that there is no significant difference between the available form of Technology Enhanced Learning (TEL) usage with students in DELSU and UNIBEN, the available facilities and equipment for Technology Enhanced Learning TEL for students in DELSU and UNIBEN and the challenges affecting the effective Implementation of Technology Enhanced Learning (TEL) in DELSU and UNIBEN. The implication is that both institutions share the same challenges.

 

Page 13: ABSTRACT

CONCLUSION

 

The study has provided evidence from the literature to show that technology enhanced learning is a viable tool to integrate the use of technology into education to meet the digital literacy needs of higher education students in this 21st century in particular and one of the medium of actualizing some of the goals of higher education in the development of the individual and the development of the relevant manpower for a 21st century society. It concludes that both synchronous and Asynchronous forms of technology enhanced learning should be effectively implemented in higher institutions.

Page 14: ABSTRACT

RECOMMENDATIONS

  Government should provide financial support to higher education, to enable National University Commission

(NUC) to enforce the full implementation of technology enhanced learning in higher institutions. Higher education institutions should seek and provide alternative means of power supply such as use of solar

energies. The National University Commission should develop and pass mandatory policies that higher education

institutions should use TEL models and where possible localize them for their own use. Higher education teachers and students should embrace and find fun in using the common electronic gadgets

around them in teaching and learning Higher institutions should train the staff through seminars and constant workshops on the availability and use of

the latest TEL tools.

 

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REFERENCES

Ambient Insight Research (2009). US self-paced e-learning market Monroe WA: Insight Research www.ambientinsight.com 30/01/2013.

Asuuka, S. (2008). Online learning in Higher education in sub-saharan Africa: Ghananian University students experience and perceptions. The international review of research in open and distance learning 9 (3).

Bates, T. (2009) National Strategies for e-learning in post-secondary education and training. UNESCO-IEEP, Paris.

Beldarrain, Y. (2006) distance education trends: integrating new technology to foster student interaction and collaboration in distance education 22 (2) pp. 139-153.

Boroffice R.A, Akinyede J.O. (2005): Space Technology and Development in Africa and the Nigeria ’s Experience. Regent Printing and Publishing Limited, Abuja. Pp 32, 55 Knowledge.

Dehenham, M. (2002): Computer-Mediated Communication (CMC) and disability support. Di. Irio, A., Feliziani, A.A. Mirri, S., Salomoni, P., & Vitali, F (2006) Automatically producing accessible learning

objects. Educational Technology & Society, 9 (4), 3-16. Ezziane Z. (2007). Information technology literacy: Implications on teaching and learning Edcuational Technology

& Society, 10 (3), 175-191. Federal Republic of Nigeria (2004). National Policy on Education 4 th Edition Lagos, NERDC press. Fichten, C.S. (1984) See it from my point of view: Videotape and attributions in happy distressed couples. Journal

of social and clinical psychology, 2, 125-142.

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REFERENCES CONT.

Ficthen, C.S., Asuncion J., Barlie, Fossey, M.,E., & Robillard, C. (2001). Computer Technologies for postsecondary student with disabilities I comparison of students and service provider perspectives. Journal of Postsecondary Education and Disability 15 (1) 28-58.

Gaiko, K. (2006). African tertiary institutions connectivity survey (ATICS). Cyberplex Africa, Botswana pdf retrieved 20/11/2010 http://www.gesci.org/filesconnectivity%20in%africa %20tertiary%20institutions.

Hara, N Kling R. (2003). Students’ distress with wed-based distance education course: An ethnography study of participants’ experiences Turkish online Journal of Distance Education, 4 (2), 557-579.

Leasure, A.R. Davis, L & Thievon S.L. (2000). Comparison of student outcomes and preferences in a traditional vs World wide web-based baccalaureate nursing research course. Journal of nursing education 39 (4), 149-154.

Ogunsote, O.O., Omofaye, J.O. & Prucnal-Ogunsote, B. (2006). The challenges of e-learning in Architectural education: a case study of the federal university of technology Yola Nigeria A paper presented at the year 2006 Annual conference of the Association of Architectural education in Nigeria (AARCHES) Engineering lecture theatre, federal University of Technology.

Okpanku Chidi Okpanku (2005): ICT in Nigeria: More than just a Jambore Venkateesan. Ravichandran (2005): e-learning or virtual learning through VSAT. P5. A paper presented at the fig working week 2005 in Egypt.

Olomo R.O. (2001) : Mapping and the Internet; challenges and opportunities in Nigeria. Journal of the Nigeria cartography Association. Pp77.

Presenter (2005): Learning About TEL kookaburra Studio Pty Ltd. Sener, J., & Strover, M.L. (2000). Integrating ALN into an independent study distance education program: NVCC

case studies. Journal of Asynchronous Learning networks, 4 (2), 126-144

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THE END


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