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Editor’s Note: As distance learning spreads to all parts of the globe, it stimulates research to determine acceptance and ways to make it more effective. Online learning is becoming pervasive across barriers of language and culture, age and disability, geography and distance from population centers. Great centers of commerce such as Hong Kong now benefit from distance learning to enable “education for all.” Perceptions of Students on |
Item | Course One | Course Two | t | ||
M | SD | M | SD | ||
Checking News posted by the course coordinator | 2.35 | .49 | 1.97 | .61 | 2.81* |
Reading online course materials | 1.94 | .69 | 2.13 | .35 | -1.43 |
Reading messages posted on the Discussion Board | 2.38 | .60 | 2.57 | .50 | -1.32 |
Posting messages on the Discussion Board | 1.74 | .67 | 1.88 | .65 | -.87 |
Communicating with your tutor or other students using emails | 1.68 | .53 | 1.80 | .66 | -.82 |
* p < .05.
In the comparison of the two courses, as indicated in Table 1, there were five items investigating on how frequently students used OLE features. Each item was on a scale of 1 to 3 with 3 being “often (4 times or more per week)”, 2 being “sometimes (1-3 times per week)”, and 1 being “none (0 times per week)”. One notable difference was found between students in Course One (Statistics) and Course Two (Linear Algebra) on the frequency of checking “News” posted by the course coordinator. The mean for the 34 students in Course One was 2.35 (SD = .49) while the mean for the 30 students in Course Two was 1.97 (SD = .61). This difference was significant (t = 2.81, df = 62, p < .007), which indicated that the students in Course One checked news which posted by the course coordinator much more times per week than the students in Course Two did.
Item | Course One | Course Two | t | ||
M | SD | M | SD | ||
It is easy to access the OLE | 1.97 | .80 | 1.63 | .49 | 2.01* |
The interface of the OLE is well designed | 2.38 | .85 | 1.93 | .74 | 2.24* |
The immediate feedback for the online activities/exercises is useful and convenient | 2.44 | 1.02 | 2.23 | .73 | .93 |
The information obtained via links is helpful to my study | 2.35 | .92 | 2.23 | .73 | .57 |
The OLE makes communication with other students more convenient | 2.18 | .87 | 2.03 | .72 | .71 |
Online communication with tutor is helpful for my study | 2.13 | .91 | 2.37 | .93 | -1.04 |
It is convenient to submit my assignment via OLE | 2.38 | 1.48 | 2.77 | 1.17 | -1.15 |
In general, I am satisfied with the OLE | 2.03 | .87 | 2.23 | .73 | -1.01 |
* p < .05.
As indicated in Table 2, there were eight items investigating on how students perceived the Online Learning Environment. Each item was on a scale of 1 to 5 with 1 being “strongly agree” and 5 being “strongly disagree”. Significant differences were found between students in Course One and Course Two on two items: “It is easy to access the OLE”, and “The interface of the OLE is well designed”. The mean for the students in Course One regarding the accessible of OLE was 1.97 (SD = .80) while the mean for the students in Course Two on the same item was 1.63 (SD = .49). This difference was significant (t = 2.01, df = 62, p < .049), which indicated that the students in Course Two agreed more on “it is easy to access the OLE” than students in Course One did. The mean for the students in Course One regarding the design of OLE was 2.38 (SD = .85) while the mean for the students in Course Two on the same item was 1.93 (SD = .74). This difference was significant (t = 2.24, df = 62, p < .029), which indicated that the students in Course Two agreed more on “the interface of the OLE is well designed” than the students in Course One did.
Although most students (85%) from both courses preferred face-to-face tutorials other than online discussion board (Open Forum) in Online Learning Environment, the majority of them agreed that in general, they were satisfied with the OLE courses. About 80% of students indicated that they liked the OLE discussion board. Approximately 62% of students pointed out that the email feature for online communication with the tutor was very helpful.
In the comparison of the two courses, as indicated in Table 3, there were ten questions on the online course design and development. Students were asked to indicate what extent they thought on each question. Each question was on a scale of 1 to 5 with 1 being “not at all” and 5 being “very much”. No significant differences were found between the students in Course One and Course Two on those questions.
Item | Course One | Course Two | t | ||
M | SD | M | SD | ||
Was the level of difficulty of the materials appropriate to the subjects matter content? | 2.97 | .76 | 3.20 | .81 | -1.17 |
Was the presentation of the contents relevant to the course objective? | 3.85 | .74 | 3.87 | .68 | -.08 |
How presentable and attractive do you find the course materials? | 3.38 | .60 | 3.60 | .67 | -1.36 |
Were the course materials designed to be user-friendly? | 3.56 | .75 | 3.57 | .73 | -.04 |
How satisfied were you with the quality of tuition / support you received from the tutors? | 3.65 | .73 | 3.60 | .67 | .27 |
How well were you able to learn from your tutor’s comments? | 3.76 | .70 | 3.70 | .60 | .40 |
How much did the program require you to memorize facts / concepts? | 3.44 | .61 | 3.40 | .62 | .27 |
How much did the program require you to understand facts / ideas? | 3.79 | .69 | 3.70 | .70 | .54 |
How much did the program require you to apply learning to your own experience / life / job? | 2.85 | .70 | 3.00 | .74 | -.81 |
How much did the program require you to analyze data / descriptions / arguments? | 3.44 | .82 | 3.27 | .91 | .81 |
As indicated in Table 4, there were nine items investigating on how students perceived their learning through the online course. Each item was on a scale of 1 to 5 with 1 being “strongly disagree” and 5 being “strongly agree”. The item “Tutorials have helped my understanding of the topics covered in this course” had the highest means from both courses, followed by items “Tutorials were well integrated with the rest of the course”, “The course sharpened my analytic skills”, and “The course developed my problem-solving skills”. Significant differences were found between students in Course One and Course Two on two items: “It was always beneficial to know the standard of work expected”, and “The tutor of this course motivated me to do my best work”. The mean for the students in Course One regarding the standard of work expected was 3.68 (SD = .68) while the mean for the students in Course Two on the same item was 3.03 (SD = .93). This difference was significant (t = 3.18, df = 62, p < .002), which indicated that the students in Course One agreed more on “it was always beneficial to know the standard of work expected” than the students in Course Two did. The mean for the students in Course One regarding the motivation from the tutor on doing their work was 3.71 (SD = .63) while the mean for the students in Course Two on the same item was 3.37 (SD = .49). This difference was significant (t = 2.38, df = 62, p < .020), which indicated that the students in Course One agreed more on “the tutor of this course motivated me to do my best work” than the students in Course Two did.
Item | Course One | Course Two | t | ||
M | SD | M | SD | ||
It was always beneficial to know the standard of work expected | 3.68 | .68 | 3.03 | .93 | 3.18* |
The course developed my problem-solving skills | 3.56 | .70 | 3.60 | .50 | -.27 |
The tutor of this course motivated me to do my best work | 3.71 | .63 | 3.37 | .49 | 2.38* |
The workload was too heavy | 3.18 | .83 | 3.43 | .82 | -1.24 |
The course sharpened my analytic skills | 3.68 | .73 | 3.80 | .41 | .85 |
The course improved my skills in written communication | 3.18 | .80 | 3.37 | .81 | -.95 |
Tutorials have helped my understanding of the topics covered in this course | 4.09 | .57 | 4.13 | .35 | -.38 |
Tutorials were well integrated with the rest of the course | 3.76 | .61 | 3.70 | .47 | .47 |
The tutor encouraged my interest in the course topics | 3.68 | .73 | 3.40 | .62 | 1.62 |
*
p < .05.Approximately 86% of the students took part in the newly introduced Interwise section. Among of them, about 80% of the students agreed that the Interwise system was helpful to their studies, and about 78% of the students agreed that they could understand mostly what the tutor delivered in this Interwise system. About 85% of the students who attended the Interwise section indicated that they would continue to participate in it. The main reasons for 14% of the students who could not attend the Interwise section were the time conflict, computer hardware and/or software problem. All of the students who could not attend the Interwise section indicated that they would try to participate in it in the near future. Overall, about 82% of the students felt that the tutor could deliver the topic clearly to them by using the Interwise system.
The results of this study indicated that students perceived very positively on learning in asynchronous online environment. This result is consistent with the findings of previous research (Romiszowski & de Haas, 1989; Romiszowski & Jost, 1989; Allen, Bourhis, Burrell, & Mabry, 2002; Picciano, 2002; Richardson & Swan, 2003; Yang & Maina, 2004). Most of the students were satisfied with the usage of OLE. They felt that features in asynchronous online environment such as discussion board, email and tutorials were helpful and useful to their studies. Students from both courses strongly sensed that the OLE course had helped their understanding of the topics, sharpened their analytic skills, and developed their problem-solving skills.
Results revealed that there were significant differences between students’ perceptions in two courses on: 1) the frequency of checking news posted by the course coordinator; 2) the accessibility of the OLE; 3) the design on the interface of the OLE; 4) the benefit of knowing the standard of work expected; and 5) the motivation from the tutor. It appeared that students who perceived more importance on knowing the standard of work expected were likely to check the news posted by course coordinator much more times per week than students who perceived less importance on knowing the standard of work expected were. Correspondingly, regarding to do their best work, students who perceived more importance on knowing the standard of work expected emphasized more importance on the motivation from tutor than students who perceived less importance on knowing the standard of work expected did. It was interesting to note that students who felt the greater easiness to access the OLE would also express the greater approval to the design on the interface of the OLE. Perhaps students’ perceptions on the accessibility of online environment were a factor which influenced students’ comfort, satisfaction, and preference on the design of course interface.
The fact that most students showed optimistically on the Interwise system for helping their studies should be of interest to program leaders, system designers, course coordinators, and tutors. Online distance learning through newly developed synchronous environment can transmit “live” data including audio, video, texts, files, screens, pictures, and shared applications (Jonassen, 2000). This type of online distance learning can be particularly helpful for delivering courses which involve demonstrations and discussions on patterns and relationships, hands-on activities, etc. Although results reveal that time conflict and technical difficulty are still remaining, the continuation of using synchronous system to support online distance learning with more flexible scheduling and appropriate training seems to be quite encouraging and promising.
One weakness in this study was the sampling. It should be noted that the sample size was relatively small. Furthermore, the participants were selected by the convenient sampling method since one of researchers for this study was a tutor of both courses for the time being. Hence, the results of this study might not represent larger populations’ perceptions on learning in online distance education. This weakness should be controlled in future studies.
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Harrison Hao Yang, Ed.D, is a professor of educational technology at the State University of New York at Oswego, and holds an adjunct professorship at The Chinese University of Hong Kong. E-mail: hyang2@oswego.edu
Fung Chun Lau, M.Sc., M.A. (I.T.Ed), is a tutor of Statistics and Mathematics courses at The Open University of Hong Kong, and is a postgraduate of M.A. (I.T. Ed) course at The Chinese University of Hong Kong. E-mail: laufc1326@yahoo.com.hk