Method
This study then replicates and extends our previous research (Kenny, Park, Van Neste-Kenny,
& Burton 2010) to gauge the current use of mobile devices by nursing faculty and students
in their teaching and learning and to assess their readiness to engage in m-learning by measuring their mobile self-efficacy. Our research questions were as follows:
•
In what ways are faculty and students currently using personal mobile devices in their teaching and learning?
•
How do they foresee using personal mobile devices in teaching and learning in the future?
•
To what degree is the level of mobile self-efficacy of nursing faculty and students related
to their potential use of m-technology in teaching and learning?
To investigate these questions, we used a cross-sectional survey design involving students and faculty in two separate nursing education programs at a community college in western Canada: a one-year Practical Nurse (PN) program and a four-year Bachelor of Science in Nursing (BSN) program. At the time of the survey, there were 55 students and 9 faculty members in the PN program and 134 students and 18 faculty members in the BSN Program, for a total of 216 potential participants.
We used an online survey to gather demographic information and mobile use data (see Appendix
A) and to administer the mobile use self-efficacy questionnaire (see Appendix B). The demographics and mobile use questions were both quantitative and qualitative in nature.
Questions 3 to 6 afforded respondents the opportunity to provide open-ended written comments in addition to the scaled items, while questions 7 to 9 asked only for open-ended responses.
Bandura (1997, 2006) stresses that self-efficacy should measure judgments of capability that may vary across specific realms of activity. Our mobile self-efficacy questionnaire was based on a computer self-efficacy instrument (Compeau & Higgins, 1995) modified for a mobile learning context. This consisted of changing the question stem for students from “I could complete the job using the software package . . .” to “If I had a mobile device such as a smartphone or 3G phone (e.g., iPhone), I could use it in my Nursing program . . .” For instance, the wording for students in question 1 was, “If I had a mobile device such as a smartphone or 3G phone (e.g., iPhone), I could use it in my Nursing program if there was no one around to tell me what to do as I go.” See Appendix A for the full set of questions. Bandura (2006) describes the assessment of self-efficacy as follows:
Method
This study then replicates and extends our previous research (Kenny, Park, Van Neste-Kenny,
& Burton 2010) to gauge the current use of mobile devices by nursing faculty and students
in their teaching and learning and to assess their readiness to engage in m-learning by measuring their mobile self-efficacy. Our research questions were as follows:
•
In what ways are faculty and students currently using personal mobile devices in their teaching and learning?
•
How do they foresee using personal mobile devices in teaching and learning in the future?
•
To what degree is the level of mobile self-efficacy of nursing faculty and students related
to their potential use of m-technology in teaching and learning?
To investigate these questions, we used a cross-sectional survey design involving students and faculty in two separate nursing education programs at a community college in western Canada: a one-year Practical Nurse (PN) program and a four-year Bachelor of Science in Nursing (BSN) program. At the time of the survey, there were 55 students and 9 faculty members in the PN program and 134 students and 18 faculty members in the BSN Program, for a total of 216 potential participants.
We used an online survey to gather demographic information and mobile use data (see Appendix
A) and to administer the mobile use self-efficacy questionnaire (see Appendix B). The demographics and mobile use questions were both quantitative and qualitative in nature.
Questions 3 to 6 afforded respondents the opportunity to provide open-ended written comments in addition to the scaled items, while questions 7 to 9 asked only for open-ended responses.
Bandura (1997, 2006) stresses that self-efficacy should measure judgments of capability that may vary across specific realms of activity. Our mobile self-efficacy questionnaire was based on a computer self-efficacy instrument (Compeau & Higgins, 1995) modified for a mobile learning context. This consisted of changing the question stem for students from “I could complete the job using the software package . . .” to “If I had a mobile device such as a smartphone or 3G phone (e.g., iPhone), I could use it in my Nursing program . . .” For instance, the wording for students in question 1 was, “If I had a mobile device such as a smartphone or 3G phone (e.g., iPhone), I could use it in my Nursing program if there was no one around to tell me what to do as I go.” See Appendix A for the full set of questions. Bandura (2006) describes the assessment of self-efficacy as follows:
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Method
This study then replicates and extends our previous research (Kenny, Park, Van Neste-Kenny,
& Burton 2010) to gauge the current use of mobile devices by nursing faculty and students
in their teaching and learning and to assess their readiness to engage in m-learning by measuring their mobile self-efficacy. Our research questions were as follows:
•
ในสิ่งที่วิธีที่อาจารย์และนักศึกษาในปัจจุบันที่ใช้อุปกรณ์มือถือส่วนบุคคลในการสอนและการเรียนรู้
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ทำไมพวกเขาคาดหวังการใช้ส่วนบุคคลอุปกรณ์มือถือในการสอนและการเรียนรู้ในอนาคต
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ระดับใดเป็นระดับของการรับรู้ความสามารถของตนเอง โทรศัพท์มือถือของอาจารย์และนักศึกษาพยาบาลที่เกี่ยวข้องกับการใช้ศักยภาพของพวกเขา
ของบริษัท เอ็ม เทคโนโลยีในการสอนและการเรียนรู้
ศึกษาคำถามเหล่านี้ we used a cross-sectional survey design involving students and faculty in two separate nursing education programs at a community college in western Canada: a one-year Practical Nurse (PN) program and a four-year Bachelor of Science in Nursing (BSN) program. At the time of the survey, there were 55 students and 9 faculty members in the PN program and 134 students and 18 faculty members in the BSN Program, for a total of 216 potential participants.
We used an online survey to gather demographic information and mobile use data (see Appendix
A) and to administer the mobile use self-efficacy questionnaire (see Appendix B).สถิติประชากรและคำถามมือถือใช้ทั้งเชิงปริมาณและเชิงคุณภาพ เพื่อให้ผู้ตอบคำถาม 3
6 เปิดให้เปิด เขียนแสดงความคิดเห็น นอกจากการปรับขนาดสินค้า ในขณะที่คำถามที่ 7 ถึง 9 ขอตอบแบบ
Bandura ( 1997 2006) stresses that self-efficacy should measure judgments of capability that may vary across specific realms of activity. Our mobile self-efficacy questionnaire was based on a computer self-efficacy instrument (Compeau & Higgins, 1995) modified for a mobile learning context. This consisted of changing the question stem for students from “I could complete the job using the software package . ." " ถ้าผมมีอุปกรณ์พกพา เช่น สมาร์ทโฟน หรือโทรศัพท์ 3G ( เช่น iPhone ) , ฉันสามารถใช้ในโปรแกรมพยาบาลของฉัน . . . . . . . " ตัวอย่างเช่นถ้อยคําสําหรับนักเรียนในคำถามที่ 1 คือ " ถ้าผมมีอุปกรณ์พกพา เช่น สมาร์ทโฟน หรือโทรศัพท์ 3G ( เช่น iPhone ) , ฉันสามารถใช้ในโปรแกรมพยาบาลของฉันถ้าไม่มีใครมาบอกให้ฉันทำอะไร ฉันไป" ดูภาคผนวกสำหรับชุดเต็มรูปแบบของคำถาม แบนดูรา ( 2006 ) ได้อธิบายถึงการประเมินสมรรถนะดังนี้
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