Mooc learners' time‐investment patterns and temporal‐learning characteristics
Bibliographic Data
| ID | 21499333 |
|---|---|
| Authors | Shuang Li (0000-0003-4073-6461, Research Center of Distance Education Beijing Normal University Beijing China), Shuang Wang (0000-0002-7914-2081, Research Center of Distance Education Beijing Normal University Beijing China), Junlei Du (0000-0002-2881-5223, Research Center of Distance Education Beijing Normal University Beijing China), Yu Pei (0000-0003-1679-0425, Sinopec Management Institute Beijing China), Xinyi Shen (0009-0005-4243-8232, Research Center of Life Long Learning and Education for Sustainable Development Beijing Academy of Educational Sciences Beijing China) |
| Year | 2022 |
| Volume | 38 |
| Issue | 1 |
| Pages | 152-166 |
| Publication date | 2022-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Computer Assisted Learning (JOURNAL) |
| Journal identifiers | ISSN: 0266-4909 • E-ISSN: 1365-2729 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/jcal.12597 |
| OpenAlex | W3196843126 |
| Language | EN |
| Citations received | 12 |
| References cited | 66 |
Instructional design · Knowledge management · Massive open online course · Multimedia · Online learning · Time management · World Wide Web · Computer Science · Innovative Teaching and Learning Methods · Online and Blended Learning · Online Learning and Analytics · Psychology
Adaptation Pattern of Moocs Platform for Upskilling Among Lis Professionals
Motivational design for enhancing behavioral engagement in a flipped Chinese course
Behavior patterns characterize students' choices and relate to cognitive load and performance in learner-controlled environments
Exploring the impact of online learning engagement profiles on student performance
How do learners’ content network characteristics evolve in cMooc from the perspective of clustering and comparing learners
Balancing autonomy and efficiency
A Combined Weighting Based Large Scale Group Decision Making Framework for Mooc Group Recommendation
Diversified resource access paths in Moocs
Delving into instructor‐led feedback interventions informed by learning analytics in massive open online courses
The moderating effect of self‐regulated learning skills on online learning behaviour in blended learning
Evaluating the efficiency of online course resource allocation in universities of China
To enrol or not to enrol
Metacognition
Observing Interaction
Mining LMS data to develop an “early warning system” for educators
Identifying significant indicators using LMS data to predict course achievement in online learning
Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses
Understanding the massive open online course (Mooc) student experience
Global-scale temperature patterns and climate forcing over the past six centuries
What We're Learning About Student Engagement From NSSE
Self-Regulated Learning and Academic Achievement
A review of the time management literature
Learning Engagement and Persistence in Massive Open Online Courses (Moocs)
Self-regulated learning strategies & academic achievement in online higher education learning environments
Deconstructing disengagement
Effects of time-management practices on college grades.
Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses
School Engagement
Motivational and self-regulated learning components of classroom academic performance.
Learners’ Discussion Patterns, Perceptions, and Preferences in a Chinese Massive Open Online Course (Mooc)
Internationalizing Professional Development
On lurking
Modelling Mooc learners' social behaviours
The importance and meaning of session behaviour in a Mooc
Facilitativeness in Small Groups
At last, my research article on procrastination
Promoting engagement in online courses
Predictors of Retention and Achievement in a Massive Open Online Course
Evaluating access, quality, and equity in online learning
| Unique citing works | 12 |
|---|---|
| Citations per year | 4 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |