Investigation of Facilities for an M-learning Environment
Автор: Mohaimen-Bin-Noor, Zahiduddin Ahmed, Dip Nandi, Mashiour Rahman
Журнал: International Journal of Modern Education and Computer Science @ijmecs
Статья в выпуске: 1 vol.13, 2021 года.
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The paper projected to study the field of m-learning focusing on investigating the facilities required to initiate an m-learning environment. Facilities and regular practices of conventional learning and e-learning was considered to find the potential facilities for m-learning environment. We used Integrated Tertiary Educational Supply Chain Model framework that stands on conventional education and illustrates the combined form of education supply chain and research supply chain model. Two surveys were conducted to collect data from students and teachers of higher education. The responses from both of the surveys have been presented and later compared with the findings from our studies of the existing learning environments. The significance of this research is in identifying the facilities for a learner and educator centric m-learning environment.
M-learning, Mobile Learning, Mobility, Ubiquitous, Self-Directed Learning, Informal Learning
Короткий адрес: https://sciup.org/15017616
IDR: 15017616 | DOI: 10.5815/ijmecs.2021.01.03
Текст научной статьи Investigation of Facilities for an M-learning Environment
Mobile learning is one of the major revolutions happening around us that demands a change in the philosophy of learning. It is considered as the third wave of learning where as traditional learning and e-learning are considered as the first and second respectively. In order to investigate for the facilities of an m-learning environment, we are required to discard and gain some of the fundamental ideas such as learner’s attention, rhythm, learning style for these new dimensions of learning. The main purpose of this paper is to provide a better understanding of the existing facilities in different learning environments and consider them for improving m-learning framework. Two different surveys were undertaken in order to learn about the facilities that students and teachers feel comfortable with. We hope to distinguish the facilities from the survey data so that it opens further opportunities to establish more effective m-learning environment.
In this paper, we worked with a framework known as the ITESCM [1] (Integrated Tertiary Educational Supply Chain Management), which is based on conventional education and shows us the combined form of education supply chain and research supply chain model. We translated the framework to use in mobile learning. The framework is based on four factors and we worked with one of the factors which is facilities.
The main objective of our research was to investigate the facilities required to establish a mobile learning environment. In order to accomplish our main objective we had identified the requirements that both the students and the teachers need to use in a mobile learning environment. The main research question was what facilities are required to establish a mobile learning environment. To look for the answer of our main research question we had to find out what are the requirements that both the students and teachers need to use a mobile learning environment.
We organized the paper with a small introduction of mobile learning in section I. After that we described about traditional learning, e-learning and m-learning along with their facilities in the section II. In section III, we explained our research methodology. Then we presented the data obtained from our surveys in section IV. In section V, we provided a brief discussion over the survey data relating with our literature review. Finally we concluded the paper in section VI by summarizing our outcomes and an idea to conduct future researches.
2. Background Study
In traditional learning environment universities offer a wide range of modern facilities to their students including lecture halls, libraries and laboratories [1] to ensure students are at comfortable learning environment. Modern facilities in the university are represented by online database, e-journal, digital library etc. [2]. To ensure these facilities are also available in m-learning environments an online library can be implemented consisting of various modern books and journals. A complement of lecture hall can be an open chat room during scheduled class for students and faculty members. Universities also provide internet and computer facilities. Although computer labs are densely packed with desktop computers, most of them are usually unavailable for self-access as they are almost constantly reserved for teaching classes [3].
In time of class tests, quizzes and exams, guidelines with counseling, lecture sheets and maintaining a good relationship with faculty members and other students play a vital role [4]. Faculty members needs to provide necessary lecture sheets to students for better understanding of subject and guidelines for exams and students will be able to discuss their short comings with their faculty through audio-video chat.
The adoption of e-learning systems has been growing in academia. In 2004, the e-learning market was worth more than US $18 billion worldwide. In Middle East, e-learning projects were expected to exceed a compound average growth rate of 32% by 2008 [5].
According to [6], to offer e-learning, a country must have strong telecommunication system, strong and cheap internet service, Wi-Fi technology and expert teams for designing educative materials and resources. On a similar thought, paper [7] highlighted that an appropriately designed and structured content management system allows the students to browse and interact with the content of the courses. E-learning literatures also reveal that access to elearning can be challenged by issues such as persistent supply of electricity, high cost of hardware like personal computers and laptops, technophobia systems in the country, poor attitude towards ICT by students, poor availability of e-learning software and instructors unwillingness to incorporate e-learning approach in teaching [8].
E-Quarium was designed by e-learning academy with the several social learning styles in mind like individual learning, active learning hub and chill-out zone. Individual learning style refers to a seating area where a student prefers to study on his own. Plenty of charging stations are available there. Active learning hub refers to when a student prefers to discuss educational contents in a larger group with media support and digital driven collaboration. A chill-out zone is another sort of seating area where a student prefers to engage in an academic discussion or reading a book.
The term m-learning is generally used to describe a learning environment where students and instructors can access a learning system over a wireless network using mobile devices [9]. It is a subset of e-learning [10]. It is a spontaneous learning environment [11] and referred as the mode of learning in which learners may move within different physical and virtual locations to participate and interact with other people, information, or systems anywhere, anytime [12].
M-learning is an approach to e-learning that utilizes mobile devices [13]. In other words, m-learning means mobility of learning where mobility can be conceptualized in different ways such as mobility of the device, mobility of the user, mobility of the service [14]. Unlike desktop e-learning, m-learning has the benefits of mobility and its supporting platform, which can be summarized as ubiquitous, localized and personalized [15]. Mobile learning is ubiquitous in a sense that it can occur anytime, anywhere, anyplace. Localization is a specific strength of mobile devices as it can provide service according to user’s location. Last of all, personalization means targeting learning materials as much as possible in a difficult navigation of a small mobile screen [15]. Mobile learning has also been defined as any sort of learning that happens when the learner is not at a fixed predetermined location or learning that happens when the learner takes advantage of the learning opportunities offered by mobile technology [16]. It is any form of learning that happens when mediated through a mobile device [17].
Mobile learning refers to the ability to obtain or provide educational content on personal pocket devices such as smart phones, PDAs and mobile phones. Digital learning assets enable a learner to learn beyond typical learning environment. So, portions of life those were never considered accessible for learning due to lack of connectivity are now potential learning opportunities for the mobile learner [16]. M-learning is also cost-efficient and helps students to learn more without traditional restrictions [3]. In an m-learning environment, educational contents should be designed for minimum equipment in order to be feasible on most regular phones. Limited battery life, limited key and screen sizes on mobile devices and variable network coverage in some rural areas [10] may make it a tough to accommodate all the facilities.
One of the most promising features of m-learning is performing activities collaboratively [14]. According to [18] mobile learning environment should provide opportunities so that peers can discuss among themselves and recorded audio-video clips and other course contents are accessible. M-learning environment should also promote high level learning by enabling the students to collaborate on educational problems. Researchers in [19] found that justification of posts, clarification of ideas, critical discussion of contribution, suggesting solutions and periodic feedback from the instructors is highly valued among the students. Another research showed that students were interested in podcasts of lectures as well as quick SMS notification to keep themselves updated about lecture times, assignment due dates and various university events [20].
In study [7] researchers found that social networking sites influenced students to suggest for features like receiving notifications when their queries get responded, easier way to create and respond to quires and flexible way to download content. The authors in [18] also noted that students can contact their course instructors whenever they need through mobile phone and using different social networking apps increases the connection and intimacy between them.
Digital revolution enables real-time assessment of student performance. As a result, students do not require receiving feedback regarding their skill mastery. Teachers can now embed pop-up quizzes in online and students can be evaluated on an on-going basis [21]. This leads us to conclude from this data that providing assessment marks for contributing to the discussion forum does have an impact on the participation of fully online students [19].
In [3] some challenges of m-learning were mentioned. It was said that m-learning environment might create a feeling of being isolated. Furthermore, as mobile technologies are upgrading at a rapid pace, lots of outdated resources are found. A virtual learning environment can be divided into four parts [22]: presentation, activities, communications and administration. Presentation refers to any functions related to new materials, activities refers to all kind of student’s activities; communications refers to communication between students and teachers and administration functions refers to administrative works like enrolment, registration and payment [5].
Educational institutions often fail to achieve substantial results with their mobile learning initiatives [23]. Although the rapid proliferation of mobile applications has outpaced the traditional software applications, these applications cannot be applied directly in mobile devices because of different mobile platforms, different hardware makers [3] and lack of any well-established mobile user interface design guideline [24, 25]. As m-learning is a form of distant learning it may make it easier to cheat and preventing it has also been stated as a challenge [3]. A way to face this challenge is to make sure that the device is being always controlled by the user which is yet another challenge [5]. As Internet and computers become very important educational tools [3], there exist a few applications in the market to assist conducting educational activities. Again, different mobile hardware makers such as HTC, Google, Samsung, Nokia, Apple etc. uses different platforms such as android, windows, iOS, etc. So, it is a challenge to make all the facilities available for all of them [5].
Researchers behind m-learning technology have proposed that m-learning should be standardized to ensure that it operates smoothly within the existing IT infrastructure [26] of educational institutes. Developers also must take into account the environment in which the application will be used while developing mobile applications [27]. It is also suggested that academic institutions introducing m-learning should focus on system quality, content quality, and service quality [28]. Furthermore, mobile technology should be easy to use in the classroom and compatible with the way students use educational resources [29]. Lastly, being an informal and self-directed learning environment, a user should get the facility to configure the environment according to his preferences. In [7], students also suggested that clear and customized information can result in a better learning experience. Providing this facility is also a challenge of m-learning environment [5].
3. Research Methodology
In [1], researchers presented that to provide quality education, four factors are needed to be analyzed. They are: program establishment, university culture, faculty capabilities and facilities. Among these four factors we have investigated about facilities in our research. A university provides both direct and indirect facilities to its students for their academic studies and researches. Lecture hall, library, IT facilities, digital library and e-journal facilities are directly related with education whereas residence facilities and transport facilities are indirectly related with education. If proper facilities are not provided, students will not be able to receive proper education.
In our study we followed design based action research. An action research is a well-disciplined inquiry process which is conducted by and for the practitioners who are participating in the action [30]. Design based action research is a research methodology where the researchers have a vision on how the reality should be and collaboration is always made with people who would utilize the outcome of the research. Design based action research aims to develop educational practices through systematic and iterative analysis, design, development and implementation, based on collaboration between researchers and practitioners [31]. Researchers in [32] have argued that, practitioners and researchers collaborate together in design based research to bring out changes by drawing design constraints from not only the local context but also the researcher’s agenda. They also mentioned that design based research can help to create and extend knowledge about developing, enacting, and sustaining innovative learning environments. It not only intends to inquire the nature of learning in a complex system but also to enhance theories of learning.
In our research data was collected by survey to find out about the participants anticipation on different facilities of an m-learning environment. According to [33] survey is a mean of gathering information about the characteristics, actions, or opinions of a large group of people, referred to as a population. A major characteristic of surveys directed for research purposes is that information is usually composed about only a portion of the study population, but it is collected in such a way as to be capable to simplify the outcomes to the population [33].
We conducted the survey in "X" University. 100 students and 20 faculty members participated in the survey. The students were selected through a systematic random sampling procedure where we selected four courses from different years of study. All the students were studying for bachelor’s level computing degrees. The survey questionnaire for faculty members were distributed to all the members of the faculty and 20 out of 32 participated. The survey questionnaire is attached in appendix A. We used different survey questionnaire for students and faculties so that we could justify the perspectives of both cases. We examined the raw data after clustering the questions into associated sections and also generated a graphical appearance of the data. After examining each cluster we composed a summary of the outcomes and derived a conclusion on how m-learning is being approached by both students and teachers.
4. Findings
We divided the questionnaire for students into seven categories. Category A has only one question (Q1) indicating willingness of using mobile devices, Category B has two questions (Q2, Q3) indicating state of internet access of the students’ mobile devices, Category C has five questions (Q4 - Q8) representing significance of course materials in mobile and Comfort of using it, Category D has five questions (Q9 - Q13) representing tools that students want to use in mobile phone, Category E has two questions (Q14, Q15) indicating preferred form of education, Category F has two questions (Q16, Q17) highlighting the drawbacks and possible improvements and Category G has one question (Q18) reflecting the degree of success.
We also divided the questionnaire for teachers into five categories. Category A has three questions (Q1-Q3) indicating the usage of mobile phones in teaching procedure, Category B has four questions (Q4 – Q7) indicating willingness of using mobile phones for teaching, Category C has only one question (Q8) representing activities performed in mobile phones, Category D has four questions (Q9 - Q12) highlighting the drawbacks and possible improvements and Category E has four questions (Q13 – Q16) reflecting teacher’s vision on M-learning.
Both of the survey responses have been presented below:
Table 1. Responses of student survey Q1 to Q5
Questions |
Responses |
Response Rate |
Q1 |
Yes |
95% |
No |
5% |
|
Q2 |
Yes |
88% |
No |
12% |
|
Q3 |
Yes |
98% |
No |
2% |
|
Q4 |
Yes |
44% |
No |
56% |
|
Q5 |
Yes |
53% |
No |
47% |

Fig.1. Response of Student Survey Q6
Fig.2. Response of Student Survey Q7
Fig.3. Response of Student Survey Q8
Fig.4. Response of Student Survey Q9
Complet Somewh

Completely Somewhat


Fig.5. Response of Student Survey Q10
Fig.6. Response of Student Survey Q11
Fig.7. Response of Student Survey Q12
Fig.8. Response of Student Survey Q13




Text and Image ■ Audio Lecture
-
- Video Lecture ■ Interaction with teachers
-
■ Interaction with Students ■ Educational Games
6th Preference 13 18 7 7 5
5th Preference 19 21 8 10 2814
4th Preference 13 31 12 13 1813
3rd Preference 20 14 16 23 1710
2nd Preference 25 9 22 15 254
1st Preference 10 7 35 32 79
0% 50% 100%
Fig.9. Response of Student Survey Q14

Fig.10. Response of Student Survey Q15
Strongly Disagree
■ Disagree ■ Not Sure
■ Agree ■ Strongly Agree
High level of technical knowledge is necessary
Verification of learning success is difficult
Impersonal Learning
Familiarization with the medium is necessary
Higher Self Discipline is necessary

0% 20% 40% 60% 80% 100%
Fig.11. Response of Student Survey Q16
Larger Display
-
■ Larger Memory Capacity
-
■ Technology Unification
-
- Lower Network Traffic
-
■ Faster Data Transmission
Fig.12. Response of Student Survey Q17
Fig 13. Response of Student Survey Q18
Fig.14. Response of Teachers Survey Q1
Fig.15. Response of Teachers Survey Q2
Table 2. Responses of teacher survey Q3 to Q7
Probably Not

No, But I

No, But I

Questions |
Responses |
Response Rate |
Q3 |
Yes |
30% |
No |
70% |
|
Q4 |
Yes |
65% |
No |
35% |
|
Q5 |
Yes |
20% |
No |
80% |
|
Q6 |
Yes |
50% |
No |
50% |
|
Q7 |
Yes |
50% |
No |
50% |

-
Fig.16. Response of Teachers Survey Q8
-
Fig.17. Response of Teachers Survey Q9
Strongly Agree 10%
Fig.18. Response of Teachers Survey Q10

Fig.19. Response of Teachers Survey Q11
-
■ Priority 1 ■ Priority 2 ■ Priority 3 ■ Priority 4 Priority 5
Technology Unification
Faster Data Transmission
Larger Memory Capacity
Lower Network Traffic
Larger Display
4 6 71 2
6 5 5 13
4 5 7 31
6 2 8 22
5 1 112 1
0% 50% 100%
Fig.20. Response of Teachers Survey Q12
Strongly

Fig.21. Response of Teachers Survey Q13

Fig.22. Response of Teachers Survey Q14

Fig 23. Response of Teachers Survey Q15

Fig 24. Response of Teachers Survey Q16
5. Discussion
Table 3. Discussion based on survey data of students
Table 4. Discussion based on survey data of teachers
Category |
Summary of teacher’s survey data |
Usage of mobile phones in teaching procedure |
Exactly half of the teachers responding the survey, have used mobile device to improve their teaching skills and methods. More than half of the teachers never used a mobile device as a teaching or learning tool with the students. Furthermore, most of the teachers never shared any learning materials with the students through their phones. In [8], authors have expressed their concern mentioning the same. |
Willingness of mobile phones for teaching |
In our literature review, we found that m-learning can be challenging as a result of unwillingness of the teachers [8]. In our survey, a major portion (65%) of the teachers expressed that they would like their students to be able to use their mobile phones for learning purpose inside classroom. We have learned from [3] that is easier to cheat in exams and agreeing with the same, almost all the teachers answered that they will not like to take exams through mobile phones. The teachers were divided in exactly halves in terms of providing instructions or notices through mobile phones and about participating in a live chat rooms with students for discussing subject matters. |
Activities performed in mobile phones |
Our survey found that teachers usually use mobile devices for communication, capturing photos, reading or editing documents and watching videos. Less than half of the teachers also use mobile phone for monetary transactions. A concern about proper security existed for rest of the teachers who do not use mobile phone for transaction purpose. Authors of [34] also found security concern like data and privacy loss among teachers. |
Drawbacks and possible improvements |
30% of the teachers have ranked Lack of Devices as 1st and another 25% of the teachers have ranked Lack of Internet as 2nd biggest obstacle of using mobile devices for teaching purpose. On the other hand, 25% of teachers expressed that Lack of Training is the smallest obstacle to apply m-learning indicating they are already properly skilled and trained. According to [37], teachers also face issues with internet connectivity during online classes and teachers also felt that they required more training for conducting classes online. Authors of [6] have expressed the same concern about internet accessibility and network infrastructures whereas authors of [10] expressed the same concern about display size. In response to another question a 40% of the teachers could not decide whether m-learning would be more stressful than face to face teaching or not but another 40% of teachers expressed that m-learning will not be more stressful. Teachers also think that m-learning will not make them to depend on internet over thinking creatively for practical work. Teachers also responded that faster data transmission, lower network traffic and larger display are necessary for m-learning to achieve a broader common acceptance. They also expressed that larger memory capacity is not a major necessity for the purpose. Paper [38] expressed concern about performance based on memory capacity and bandwidth limitation. |
Teacher’s vision on M-learning |
Our survey responses highlighted that half of the teachers expressed that the acceptance of m-learning among the students in higher education will be high. A major portion of the teachers agreed that m-learning can bring massive opportunities for the universities to empower informal learning. Authors of [17] also stated that m-learning has added a new dimension to learning by enabling a learner to go beyond traditional learning experiences. Teachers expressed that m-learning will play an important role in the future of learning. They also positively think to adopt and integrate m-learning technology for their teaching methodology. Authors of [3] mentioned that m-learning is cost efficient and increases the opportunity of learning. |
In any learning environment, students and teachers are the major stakeholders. Our survey questionnaires focused on the facilities of an m-learning environment from the perspective of these two major stakeholders. As a result, the findings discussed in this paper will help researchers to learn about the facilities that are required for both students and teachers for acting in a mobile learning environment.
6. Conclusion
Our paper observed utilization of mobile phones by students and teacher of higher education in regular learning and how m-learning is being approached by them. Survey data was compared with existing literature and it was found that students are expected to be self-directed learners who independently locate resources to supplement their learning. Using mobile devices for learning outside the classroom can also be a motivating factor for them. Furthermore, we found that students are not only interested in receiving course contents but also in interacting among themselves and with the course teacher through mobile phone. It was also found that teachers are ready to adapt mobile learning and they believe that mobile learning will play a significant role in the future of learning.
Although our paper studied positive roles with respect to mobiles as a tool from the perspective of students and teachers to either access learning resources or provide more learner-centered curriculum. Future researches can investigate whether using mobile device has an impact on academic performance of the students.
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