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Lifelong Technology-Enhanced Learning

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Cover of 'Lifelong Technology-Enhanced Learning'

Table of Contents

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    Book Overview
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    Chapter 1 A Classification of Barriers that Influence Intention Achievement in MOOCs
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    Chapter 2 Tools to Support Self-Regulated Learning in Online Environments: Literature Review
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    Chapter 3 The Psychometric Properties of a Preliminary Social Presence Measure Using Rasch Analysis
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    Chapter 4 Multimodal Learning Hub: A Tool for Capturing Customizable Multimodal Learning Experiences
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    Chapter 5 How Teachers Prepare for the Unexpected Bright Spots and Breakdowns in Enacting Pedagogical Plans in Class
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    Chapter 6 Evaluating the Robustness of Learning Analytics Results Against Fake Learners
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    Chapter 7 Where Is the Learning in Learning Analytics?
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    Chapter 8 Can I Have a Mooc2Go, Please? On the Viability of Mobile vs. Stationary Learning
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    Chapter 9 Validation of the Revised Self-regulated Online Learning Questionnaire
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    Chapter 10 SRLx: A Personalized Learner Interface for MOOCs
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    Chapter 11 Motivating Students to Enhance Their Knowledge Levels Through Personalized and Scrutable Visual Narratives
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    Chapter 12 Supporting the Adaptive Generation of Learning Game Scenarios with a Model-Driven Engineering Framework
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    Chapter 13 Student Drop-out Modelling Using Virtual Learning Environment Behaviour Data
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    Chapter 14 A Microservice Infrastructure for Distributed Communities of Practice
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    Chapter 15 Multimodal Analytics for Real-Time Feedback in Co-located Collaboration
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    Chapter 16 Towards Personalized Learning Objectives in MOOCs
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    Chapter 17 PsychOut! a Mobile App to Support Mental Status Assessment Training
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    Chapter 18 Exploring Gamification to Prevent Gaming the System and Help Refusal in Tutoring Systems
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    Chapter 19 Automated Analysis of Cognitive Presence in Online Discussions Written in Portuguese
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    Chapter 20 Fine-Grained Cognitive Assessment Based on Free-Form Input for Math Story Problems
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    Chapter 21 Extending the SIPS-Model: A Research Framework for Online Collaborative Learning
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    Chapter 22 A Syllogism for Designing Collaborative Learning Technologies in the Age of AI and Multimodal Data
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    Chapter 23 “Make It Personal!” - Gathering Input from Stakeholders for a Learning Analytics-Supported Learning Design Tool
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    Chapter 24 Investigating the Relationships Between Online Activity, Learning Strategies and Grades to Create Learning Analytics-Supported Learning Designs
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    Chapter 25 Evidence for Programming Strategies in University Coding Exercises
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    Chapter 26 Incorporating Blended Learning Processes in K12 Mathematics Education Through BA-Khan Platform
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    Chapter 27 Predicting Learners’ Success in a Self-paced MOOC Through Sequence Patterns of Self-regulated Learning
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    Chapter 28 Semantically Meaningful Cohorts Enable Specialized Knowledge Sharing in a Collaborative MOOC
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    Chapter 29 Detecting Learning Strategies Through Process Mining
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    Chapter 30 Low-Investment, Realistic-Return Business Cases for Learning Analytics Dashboards: Leveraging Usage Data and Microinteractions
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    Chapter 31 Identifying Design Principles for Learning Design Tools: The Case of edCrumble
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    Chapter 32 Exploring Causality Within Collaborative Problem Solving Using Eye-Tracking
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    Chapter 33 Towards an Automated Model of Comprehension (AMoC)
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    Chapter 34 Course-Adaptive Content Recommender for Course Authoring
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    Chapter 35 Assessing Leadership Competencies Through Social Network Analysis
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    Chapter 36 Concept Focus: Semantic Meta-Data for Describing MOOC Content
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    Chapter 37 Help Me Understand This Conversation: Methods of Identifying Implicit Links Between CSCL Contributions
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    Chapter 38 The Effect of Personality and Course Attributes on Academic Performance in MOOCs
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    Chapter 39 Learning by Reviewing Paper-Based Programming Assessments
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    Chapter 40 Which Learning Visualisations to Offer Students?
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    Chapter 41 Detection of Student Modelling Anomalies
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    Chapter 42 Expanding the Curricular Space with Educational Robotics: A Creative Course on Road Safety
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    Chapter 43 New Approaches to Training of Power Substation Operators Based on Interactive Virtual Reality
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    Chapter 44 Enabling Systematic Adoption of Learning Analytics through a Policy Framework
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    Chapter 45 Diversity Profiling of Learners to Understand Their Domain Coverage While Watching Videos
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    Chapter 46 Using Digital Medical Collections to Support Radiology Training in E-learning Platforms
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    Chapter 47 Temporal Analytics of Workplace-Based Assessment Data to Support Self-regulated Learning
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    Chapter 48 Learning Analytics Dashboard Analysing First-Year Engineering Students
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    Chapter 49 The Learning Analytics Indicator Repository
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    Chapter 50 Eye-Tracking for User Attention Evaluation in Adaptive Serious Games
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    Chapter 51 Development of a Learning Economy Platform Based on Blockchain
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    Chapter 52 Enhancing Human Learning of Motions: An Approach Through Clustering
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    Chapter 53 How to Help Teachers Adapt to Learners? Teachers’ Perspective on a Competency and Error-Type Centered Dashboard
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    Chapter 54 MedSense: The Development of a Gamified Learning Platform for Undergraduate Medical Education
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    Chapter 55 edCrumble: Designing for Learning with Data Analytics
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    Chapter 56 Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques
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    Chapter 57 Exploring Math Achievement Through Gamified Virtual Reality
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    Chapter 58 Observational Scaffolding for Learning Analytics: A Methodological Proposal
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    Chapter 59 Cohesion-Centered Analysis of Sociograms for Online Communities and Courses Using ReaderBench
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    Chapter 60 A Digital Ecosystem for Digital Competences: The CRISS Project Demo
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    Chapter 61 Towards Generation of Ambiguous Situations in Virtual Environments for Training
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    Chapter 62 Digging for Gold: Motivating Users to Explore Alternative Search Interfaces
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    Chapter 63 The Role of Ubiquitous Computing and the Internet of Things for Developing 21st Century Skills Among Learners: Experts’ Views
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    Chapter 64 An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses
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    Chapter 65 Instrumentation of Classrooms Using Synchronous Speech Transcription
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    Chapter 66 A Programming Language Independent Platform for Algorithm Learning
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    Chapter 67 Using Thematic Analysis to Understand Students’ Learning of Soft Skills from Videos
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    Chapter 68 Formalizing CSCL Scripts with Logic and Constraints
Attention for Chapter 38: The Effect of Personality and Course Attributes on Academic Performance in MOOCs
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Citations

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Chapter title
The Effect of Personality and Course Attributes on Academic Performance in MOOCs
Chapter number 38
Book title
Lifelong Technology-Enhanced Learning
Published by
Springer, Cham, August 2018
DOI 10.1007/978-3-319-98572-5_38
Book ISBNs
978-3-31-998571-8, 978-3-31-998572-5
Authors

Mahdi Rahmani Hanzaki, Carrie Demmans Epp, Rahmani Hanzaki, Mahdi, Demmans Epp, Carrie

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Lecturer 6 15%
Student > Bachelor 4 10%
Researcher 4 10%
Student > Master 3 7%
Other 5 12%
Unknown 12 29%
Readers by discipline Count As %
Computer Science 9 22%
Engineering 6 15%
Business, Management and Accounting 3 7%
Arts and Humanities 2 5%
Mathematics 1 2%
Other 4 10%
Unknown 16 39%