منوی کاربری
  • پشتیبانی: ۴۲۲۷۳۷۸۱ - ۰۴۱
  • سبد خرید

دانلود رایگان مقاله الگوهای دانش آموزان از عملکرد دوره و تعامل در دوره آزاد انبوه آنلاین

عنوان فارسی
الگوهای دانش آموزان از عملکرد دوره و تعامل در یک دوره آزاد انبوه آنلاین
عنوان انگلیسی
Students’ patterns of engagement and course performance in a Massive Open Online Course
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
9
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E3173
رشته های مرتبط با این مقاله
علوم تربیتی و مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
تکنولوژی اموزشی
مجله
کامپیوتر و آموزش - Computers & Education
دانشگاه
دانشگاه هوستون، امریکا
کلمات کلیدی
تعامل دانش آموز، دانش قبلی، عملکرد دوره، توسعه حرفه ای
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


A series of Massive Open Online Courses (MOOCs) in the Curriculum and Instruction (CUIN) Department at a university are collaboratively being designed and developed by a team of doctoral students with mentorship from two CUIN professors. The first two MOOCs, Powerful Tools for Teaching and Learning: Digital Storytelling MOOC (DS MOOC) and Powerful Tools for Teaching and Learning: Web 2.0 Tools, have been developed and offered multiple times on the Coursera platform. This paper reports on the relationships between learners' patterns and motives of engagement and their prior subject knowledge with their course performance in the Digital Storytelling MOOC. Results from this study indicate that learners who demonstrated active engagement in the MOOC tended to outperform other learners who did not practice this trait. Learners whose motives for participation involved earning the Continuing Professional Development certificate, gaining skills, ideas and inspirations, and improving their professional practice outperformed the students who valued these traits less. Learners who possessed moderate level of content knowledge seemed to benefit most from the course. This paper contributes insight into aspects of students’ behaviors that possibly contributed to their success in a MOOC and invites discussion on how to reinforce these traits.

نتیجه گیری

5. Conclusions


The results reveal three intriguing patterns of the learners' participation, motives, and subject knowledge in comparison to their performance in the MOOC. First, there was a correlational relationship between learners' patterns of participation with their MOOC performance: learners who demonstrated active engagement tended to outperform the ones who did not prioritize a similar trait. Active engagement was evidenced by learners submitting at least one course assignment, and their participation in the discussion forum by posting and responding to others. Active engagement has been proposed to be a strong indicator of MOOC quality and student satisfaction (Ho et al., 2014; Jordan, 2014; Koller, Ng, Do, & Chen, 2013) and thus, the success of a MOOC. In order to encourage more learner participation, the design team plans to make pedagogical modifications for the next DS MOOC launch by making the discussion forums a more responsive and user-friendly place. This may be achieved by using strategies such as increasing the human interaction through synchronous sessions, creating/ encouraging forum discussions among subgroups by geographical locations or language background. It can also be achieved by increasing managerial skills including the management of the Teaching Staff: assigning course teaching staff to monitor and respond to students' questions by hours so that the level of responsiveness is assured on a global time scale (Haavind, Chandler, 2015). As for students' participation in an assignment, from the design perspective, there should be further investigation on the level of complexity, difficulty or time-consuming nature of the assignments to determine whether this might be a reason for the decreasing participation in the MOOC. However, the mystery of the decreasing participation and perhaps the pass/fail rate could be attributed to peer assessment, which presents natural pitfalls and provides challenges for MOOC design (Kulkarni et al., 2015). For the DS MOOC, learners' performance on each assignment was highly dependent on the assessment of their peers using a rubric. The final score of one assignment is the median of the four assessment outcomes (three peer assessments and one self-assessment). The quality of the peer feedback is unknown and needs further examination. The Coursera platform offers a mathematical solution for peer assessment with the random assignment of three peers for assignment grading instead of one. In order to enable more accurate assessment, the course design team created a rubric for the peer assessors to us and provided self-assessment by the learner to further level out the learners' performance grade. After the first DS MOOC launch, the design team decided to provide examples of peer assessment through sample grading by the instructor and course teaching staff of learners’ digital story submissions of different quality.


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