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ECEL 2004: The 3rd European Conference on e-Learning
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An Initial Evaluation of Student Withdrawals within an e-Learning Environment: The Case of e-College Wales
Paul Jones, Gary Packham, Christopher Miller and Amanda Jones, University of Glamorgan, Pontypridd, Wales, UK, www.glam.ac.uk/bus/,
wpjones1@glam.ac.uk


   

1.        The e-Learning phenomenon

Internet use has increased to the level where it has become universally recognised as the dominant commercial and social force (Sloman 2001) - but what does this mean for today’s lecturers? The emergence of e-Learning has created a new platform for the delivery of training, it is, a phenomenon, and the impact of this technology will create opportunities that will enhance and transform the learning experience for both student and teacher (Sloman 2001).

It is vital within any study of e-Learning to illustrate the true nature of this new pedagogical resource. It is believed to be a new medium “involving the delivery and administration of learning opportunities and support via computer, networked and web-based technology, to help individual performance and development” (Pollard & Hillage 2001). Fry (2000) supports this and believes that the focus of e-Learning is primarily channelled via “networked interactivity and a range of other knowledge collection and distribution technologies”. One of the problems with appraising e-Learning however, is that it is eclectic and one can learn from many different electronic mediums. For example, we can learn from surfing the web, from online courses, from participating in an online discussion forum or from being coached or mentored via e-mail (Honey, 2001). Nevertheless, there is one common thread running through all these forms of e-Learning – they all offer the possibility of learning from information exchanged electronically (Honey 2001). Whitlock (2000) offers a more holistic perspective and argues that a suitable term to cover all definitions has yet to emerge. He suggests that the best way forward is not to search for the definitive definition but to apply e-Learning as an ‘umbrella term’ that encompasses all forms of electronic delivery, whether online or via other electronic mediums such as CD-ROM. Irrespective of definition, e-Learning has received attention from academia as it arguably able to offer educational qualifications to a wider geographical population and provides the means to further the education of those with other work-life commitments unable to study full-time (Alexander 2001; Daniel 1997; Johnstone 1992). It also provides the most fertile ground for growing these key ingredients of university renewal: lower costs and unique attraction (Daniel 1997). Green & Gilbert (1995) anticipate that e-Learning will yield new levels of institutional and instructional productivity.

The proliferation of e-Learning programmes on offer within the UK however, raises critical issues that have yet to be fully addressed in terms of the nature of e-Learning, effective pedagogy and learner expectations. Moreover, issues associated with e-Learning and retention, especially those associated with widening participation, have made many institutions question the benefits of the e-Learning (Aldridge & Rowley 2001; Higher Education Funding Council for England (HEFCE) 2001; Select Committee on Education and Employment (SCEE) 2001). Studies conducted alongside e-Learning initiatives have often recorded varying levels of success in retention, identifying student motivation and satisfaction as reasons as to why a significant number of students ultimately decide to withdraw (Mason & Weller 2000; Alexander 2001; Bonk 2001). In addition, whilst technological advances have widened access and provided what in essence is a new educational platform there are still limits to technology’s ability to respond to individual learning demands (Laurillard 1993).

Historically, a considerable amount of academic attention has been given to why students withdraw from Higher Education (HE). Reasons for non-completion are typically complex and multiple, yet institutional records are often simplistic or inaccurate (Hall 2001). In general, drop out rates ranging from 30% to 75% have been associated with e-Learning courses in the United States (McVay-Lynch 2002). Further, McVay-Lynch, (2002) identified a number of factors that contributed to withdrawal including technology, the student experience, lack of tutor feedback and online miscommunication. Concurrently, the work of Diaz (2002) suggested that these factors could be further categorised into:

§                Student factors – where the educational preparation, motivational and persistence attributes and the actual academic self-concept of the student are important.

§                Situational factors – where the life circumstances of students affect their ability to complete the course.

§                Educational system factors –examines the educational standards and qualities of the course and the impact of pastoral support for the student.

In fact, it has been argued that the above factors are no different to the problems encountered by traditional students. Nevertheless, much has been made of the need to improve current levels of retention before e-Learning can be considered viable by most HE Institutions.

1.1         Retention and e-Learning

A result of widening access to HE has been an increase in the number of students without traditional qualification being admitted through the clearing system. HEFCE (2001) however, suggests that entrants with low or non-A-level qualifications are less likely to complete HE study. It is also believed that entrants without recent experience of HE lack the ability to be ‘self-determining’ and to organise their studies effectively. Thus, induction and study support programmes for these types of student become invaluable (SCEE, 2001). Furthermore, HEFCE (2001) maintain that students who are not prepared for the HE experience can lack the necessary study skills required. The SCEE (2001) recommend that wider access incentives for HE institutions should include ‘completion incentives’ that encourage the admission and support of student from non-traditional backgrounds. Nonetheless, the literature also implies that despite the recent political agenda to widen participation, those targeted may still be at a disadvantage.

Financial difficulties and lack of student funding have also become significant factors in student withdrawal from HE (Aldridge & Rowley 2001; AUT 2001; Bennett 2003). In an effort to alleviate student hardship, the government has attempted to provide significant resources, administered through HEFCE, in the hope of reducing its impact on retention. According to one report, funds provided for academic year 2000-01 were £57m through the Hardship Funds, £15m through the Mature Students Bursaries and £12m through the Fee Waiver Schemes (HEFCE 2001). Despite this support, the SECC (2001) reported that 20% of students fail to receive sufficient funding, as their parents are either unable or unwilling to make additional contributions. Consequently, many students are forced to work part time (PT) alongside their full time studies, which can also have a significant impact on commitment and performance.

Associated to the issue of PT working is time, whereby its limitation to students has become one of the primary reasons for withdrawals (Mason 2001; Powers & Mitchell 1997). Griffith’s (2002) study indicates that 60% of employees have difficulty finding the time to use online training systems. Time related issues involved in online courses have also replaced the problem of distance (Mason 2001). Whilst education has now extended geographically it has limited students with time restrictions. Indeed, Mason & Weller (2002) found that one of the major complaints about online courses were associated with limited time. The study highlighted that time constraints had, on occasion, led to a modification in course content and delivery. Hunt (1998) however, argues that the survival of online courses will be dependent on their ability to reduce overall time-scales as well as providing the necessary flexibility demanded by today’s learner. Nevertheless, issues of time-management, individual study patterns, and completion time-scale variations suggest that students also play a pivotal role in their ability to complete a course successfully. Similarly, Hunt (1998) acknowledges that the constant pressure of time on staff and students, although creating a sense of empathy between them, is not conducive to sustained continuing professional development for either group.

Recently, it has been commonly accepted that most students should possess basic Information Technology (IT) skills and the ability to use these skills competently within an educational setting. Arif (2001) however, warns that it should not be assumed that any given population is ‘technology-conversant’. In fact, Arif (2001) maintains that many students entering University have had no exposure to the Internet and very little to IT generally. Participation in e-Learning courses can therefore be seriously affected by the IT deficiencies of students and thus a significant contributor to withdrawal (Hara & Kling 1999). Reliable technical support is crucial for both staff and students as they become familiar with e-Learning, indeed students will readily give up if they are unable to get the technology to work and do not receive support (Alexander 2001; McVay-Lynch 2002). Moreover, given that many students are not ‘technology-conversant’, usability is also considered to be an important factor in improving retention (Frontend.com, 2001).

It is important for students to know what is expected of them before committing to a task (Frontend.com, 2001). Hall (2001) suggests that it is no surprise that a course failing to meet student expectations and lacking in pre-course information is linked to low rates of student retention. For example, many learners often find the whole online experience to be contrary to what they believe to be the best form of learning (particularly inexperienced learners). Therefore, for e-Learning courses to improve rates of retention, time and effort must be given to preparing students for the e-Learning experience (Alexander 2001). Ultimately, high withdrawal rates are a measure of the negative quality of the student's experience of HE (Aldridge & Rowley 2001).

2.        e-College Wales: A case study

Despite complimentary feedback the BA Enterprise suffers a significant withdrawal problem. As our literature review has already highlighted, retention is influenced by a plurality of factors including admissions policy, pedagogy, course structure and nature of study (i.e. full or part time). This paper examines the retention issues within the program and identifies whether the causes of withdrawal correlate with the existing academic literature. ECW is a project designed by the University of Glamorgan aimed at creating and improving entrepreneurial and managerial capacity in the European Union Objective One Areas of Wales, where such activity has been deficient. This distance learning (with local partner Further Education colleges located throughout the objective One areas) platform has been created with the aim of aiding individuals and communities to generate their own economic development solutions, through the tools of entrepreneurship and promotion. A key component in this provision is the BA Enterprise programme, which was initiated in September 2001. Course materials are available on-line via the Blackboard Virtual Learning environment (VLE) and students have access to electronic database journals and library catalogues. Students interact online with module tutors via virtual classrooms, chat rooms and discussion boards.

3.        Research strategy

To investigate the research proposition the research methodology involved quantitative and qualitative research. Descriptive statistics are utilised to provide a demographic profile of learners. Thereafter the study used content analysis of student feedback to identify reasons for withdrawal. The study focused on 44 students within the Coleg Sir Gar, Partner College. Initially a detailed analysis of the demographic breakdown of the student cohort and completion, withdrawal and deferral information was undertaken. Thereafter the authors identified and interviewed twenty (87%) withdrawn students from the programme using a semi-structured questionnaire.

A semi-structured research instrument was constructed to identify prime motivations for student withdrawal. Former students were contacted via telephone and the questionnaire was completed in a ten-minute interview with each respondent. Twenty former students (87%) completed the questionnaire, whilst 3 (13%) respondents declined or could not be contacted.

The aim of the questionnaire was to elicit the prime causes for student withdrawal and identify the student attitudes to an on-line programme. The initial question established the date of withdrawal from the programme, whilst the second questions asked the respondents to explain their reasons for leaving the course. The third question enquired whether the University could have influenced the respondents’ withdrawal decision. The next question asked whether the respondent would consider studying for an online programme in the future. Finally the respondents were asked to summarise their learning experience of the programme.

4.        Results

Forty-four students undertook the first year of the programme. Fifteen students successfully completed the first year, 23 withdrew and 6 deferred to the next academic year (see Table 1).

Table1: Results 2001/2002

Total Students

Passed award

%

Withdrew

%

Defer

%

44

15

34

23

52

6

13

 

4.1         Student Gender and Age

Twenty-seven (61%) students were male and 17 (39%) female, the oldest being 66 and the youngest 25. The average age of the group was 43 with a standard deviation of 9.6. A group frequency analysis (see Table 2) revealed that the most populace group was 41-50 (34%) followed by the 31-40 (30%). Overall 59% (26 out of 44) of the year group were 41 years of age or over. Male students were predominantly 31- 40 (33%) years of age whereas female students were principally in the 41-50 (47%) age group. Male students accounted for 69% of the 31-40 age group and 67% of the 51-60 age classification whilst females accounted for 53% of the 41-50 age group.

Table 2: Group frequency analysis by age and gender

Age

Break

Down

All Pop

%

 All Male Pop

 As % of Male Age Group

As % of All Male Pop

All Female Pop

As % of Female Age group

As % of All Female Pop

21

-

30

5

11

3

60

11

2

40

12

31

-

40

13

30

9

69

33

4

31

24

41

-

50

15

34

7

47

26

8

53

47

51

-

60

9

20

6

67

22

3

33

18

61

-

70

2

5

2

100

7

0

0

0

 

 

 

44

100

27

61

100

17

39

100

 

Table 3 analyses the profile of the 15 successful students as eight males and seven females. Overall, 41% of female and 30% of male students were successful. Further analysis revealed that 50% of 31-40 aged female students were successful as were 67% of the 51-60 age group. The most successful male age group was the 41-50, with a 43% success rate. The least successful age groups were the male 51-60 category with a 17% success rate and the female 41-50 group (see Table 3).

Table 3: Gender & age of completed students

Age

Break

Down

Passed by

Age Group

All Female Pop.

Passed Female

Pop

As % of all

Female Pop.

As a % of Female

Passed Pop.

All Male Pop

Male

Passed f

As % of

all Male Pop

As a % of

Male Passed

21

-

30

1

2

0

0

0

3

1

33

13

31

-

40

5

4

2

50

29

9

3

33

38

41

-

50

6

8

3

38

43

7

3

43

38

51

-

60

3

3

2

67

29

6

1

17

13

61

-

70

0

0

0

0

0

2

0

0

0

 

 

15

17

7

41

100

27

8

30

100

Seventy percent of withdrawn students were male and 30% female. The most prevalent age groups for student withdrawal were 51-60, with a 67% rate, followed by 21-30 (60%). The 61-70 groups suffered a 100% withdrawal rate although this involved only 2 students. Both the 31-40 and 51-60 groups suffered a high male withdrawal rate with a 80% and 83% drop out rate. Older males 73% were particularly likely to withdraw as were females in the 41-50 age group (50%).

Table 4: Gender & age of withdrawn students

Age Break

Down

All Pop

Withdrawn

% of W/D of Age Group

% of all W/D Students

All Male Pop

Male W/D

Pop

% of W/D Male by All W/D

% of W/D by Male Age Group

All Female Pop

Female W/D Pop

% of W/D Female by All W/D

% of W/D by Female Age Group

21

-

30

5

3

60

13

3

2

67

67

2

1

33

50

31

-

40

13

5

38

22

9

4

80

44

4

1

20

25

41

-

50

15

7

46

30

7

3

43

43

8

4

57

50

51

-

60

9

6

66

26

6

5

83