Identifying Learning Activity Sequences that Are Associated with High Intention-Fulfillment in MOOCs

Eyal Rabin, Vered Silber-Varod, Yoram M. Kalman, Marco Kalz

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Learners join MOOCs (Massive Open Online Courses) with a variety of intentions. The fulfillment of these initial intentions is an important success criterion in self-paced and open courses. Using post course self-reported data enabled us to divide the participants to those who fulfilled the initial intentions (high-IF) and those who did not fulfill their initial intentions (low-IF). We used methods adapted from natural language processing (NLP) to analyze the learning paths of 462 MOOC participants and to identify activities and activity sequences of participants in the two groups. Specifically, we used n-gram analysis to identify learning activity sequences and keyness analysis to identify prominent learning activities. These measures enable us to identify the differences between the two groups. Differences can be seen at the level of single activities, but major differences were found when longer n-grams were used. The high-IF group showed more consistency and less divergent learning behavior. High-IF was associated, among other things, with study patterns of sequentially watching video lectures. Theoretical and practical suggestions are introduced in order to help MOOC developers and participants to fulfill the participants’ learning intentions.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفTransforming Learning with Meaningful Technologies - 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Proceedings
المحررونMaren Scheffel, Julien Broisin, Viktoria Pammer-Schindler, Andri Ioannou, Jan Schneider
ناشرSpringer Verlag
الصفحات224-235
عدد الصفحات12
رقم المعيار الدولي للكتب (المطبوع)9783030297350
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2019
الحدث14th European Conference on Technology Enhanced Learning, EC-TEL 2019 - Delft, هولندا
المدة: ١٦ سبتمبر ٢٠١٩١٩ سبتمبر ٢٠١٩

سلسلة المنشورات

الاسمLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
مستوى الصوت11722 LNCS
رقم المعيار الدولي للدوريات (المطبوع)0302-9743
رقم المعيار الدولي للدوريات (الإلكتروني)1611-3349

!!Conference

!!Conference14th European Conference on Technology Enhanced Learning, EC-TEL 2019
الدولة/الإقليمهولندا
المدينةDelft
المدة١٦/٠٩/١٩١٩/٠٩/١٩

ملاحظة ببليوغرافية

Publisher Copyright:
© 2019, The Author(s).

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