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Front Matter
Front Matter
Model-Based Characterization of Text Discourse Content to Evaluate Online Group Collaboration
This paper presents a model that characterizes textual discourse contents of online groups and provides a visualization of the level of collaboration within groups. This approach is envisioned to provide an insight into a real-time intervention to ...
Identifying Editor Roles in Argumentative Writing from Student Revision Histories
We present a method for identifying editor roles from students’ revision behaviors during argumentative writing. We first develop a method for applying a topic modeling algorithm to identify a set of editor roles from a vocabulary capturing three ...
Degree Curriculum Contraction: A Vector Space Approach
This paper introduces a curriculum contraction technique in the context of university degree programs using a vector space embedding approach. We propose a way to model degrees and majors and define a contraction that takes the curriculum of a ...
L2 Learners’ Preferences of Dialogue Agents: A Key to Achieve Adaptive Motivational Support?
This study reports on differences observed among learners’ preferences of two conversational strategies embedded in a dialogue agent dedicated to enhancing their willingness to communicate (WTC) in a second language. We found that the combination ...
Eye Gaze Sequence Analysis to Model Memory in E-education
Intelligent Tutoring Systems are now mature technologies that successfully help students to acquire new knowledge and competencies through various educational methods and in a personalized way. However, evaluating precisely what they recall at the ...
What Inquiry with Virtual Labs Can Learn from Productive Failure: A Theory-Driven Study of Students’ Reflections
During inquiry learning with virtual labs students are invited to construct mathematical models that capture key features of the underlying structures. However, students typically fail to construct complete models. In order to identify ways to ...
The Role of Achievement Goal Orientation on Metacognitive Process Use in Game-Based Learning
To examine relations between achievement goal orientation—a construct of motivation, metacognition and learning, multiple data channels were collected from 58 students while problem solving in a game-based learning environment. Results suggest ...
Autoencoders for Educational Assessment
In educational assessment research, a common goal is to determine students’ knowledge about some construct. This knowledge is latent and can be represented by continuous variables which influence the individual’s performance on a test. Item ...
The Value of Multimodal Data in Classification of Social and Emotional Aspects of Tutoring
There are many aspects of tutoring that are associated with social and emotional learning. These are complex processes that involve dynamic combinations of skills, abilities and knowledge. Here, we present the results of our investigation on the ...
Conscientiousness, Honesty-Humility, and Analogical/Creative Reasoning: Implications for Instructional Designs in Intelligent Tutoring Systems
This paper shares initial results of a current study to understand what factors, tools, and methods help individual military and civilian medical personnel accelerate their medical problem-solving expertise. Based on the initial data analysis, ...
Learners’ Gaze Behaviors and Metacognitive Judgments with an Agent-Based Multimedia Environment
65 undergraduate students from a North American university interacted with MetaTutorIVH, an agent-based multimedia learning environment that fosters self-regulated learning (SRL) strategy use (e.g., metacognition) while presenting information on ...
Online Assessment of Belief Biases and Their Impact on the Acceptance of Fallacious Reasoning
Determining the impact of belief bias on everyday reasoning is critical for understanding how our beliefs can influence how we judge arguments. We examined the impact of belief bias on the user’s ability to identify logical fallacies in political ...
Early Dropout Prediction for Programming Courses Supported by Online Judges
- Filipe D. Pereira,
- Elaine Oliveira,
- Alexandra Cristea,
- David Fernandes,
- Luciano Silva,
- Gene Aguiar,
- Ahmed Alamri,
- Mohammad Alshehri
Many educational institutions have been using online judges in programming classes, amongst others, to provide faster feedback for students and to reduce the teacher’s workload. There is some evidence that online judges also help in reducing ...
Developing a Deep Learning-Based Affect Recognition System for Young Children
Affective interaction in tutoring environments has been of great interest among several researchers in this community, which has spurred the development of various systems to capture learners’ emotional states. Young children are one of the ...
Using Exploratory Data Analysis to Support Implementation and Improvement of Education Technology Product
ST Math is a visual instructional game-based program that builds a deep conceptual understanding of mathematics through rigorous learning and creative problem solving. It is widely adopted in many elementary schools in the US. In this paper, we ...
Bayesian Diagnosis Tracing: Application of Procedural Misconceptions in Knowledge Tracing
Bayesian diagnosis tracing model (BDT) replaces the generic “wrong” response in the classical Bayesian knowledge tracing model (BKT) with a vector of procedure misconceptions. Using a novel dataset with actual student responses, this paper shows ...
Analysis of Gamification Elements. A Case Study in a Computer Science Course
Nowadays, researchers are increasingly interested in the study of gamification. Gamification is the application of typical game elements in other areas. This technique can be used in different sectors like health, marketing, politics or education. ...
Towards Adaptive Worked-Out Examples in an Intelligent Tutoring System
Worked-out examples (WOEs) have been shown to be effective for learning, but they need to be adapted to student characteristics. We experimented with three versions of our Intelligent Tutoring System for Computer Science, one that does not include ...
Orchestrating Class Discussion with Collaborative Kit-Build Concept Mapping
In the collaborative learning context, typical classroom practices tend to create three distinguishable levels of activity: individual-activities, small-group work, and whole-class discussion. It is important to connect the analysis of the levels ...
Automating the Categorization of Learning Activities, to Help Improve Learning Design
As part of the large-scale implementation of Learning Design at The Open University, the UK’s largest higher education institution, a taxonomy of learning activities informs the development of course modules. The taxonomy is also used to map a ...
Identifying the Structure of Students’ Explanatory Essays
Recent educational standards stress that students should learn how to read and understand scientific explanations and create explanations of their own. But these skills are difficult for teachers to evaluate, so they often assess them at a shallow ...
A Systematic Approach for Analyzing Students’ Computational Modeling Processes in C2STEM
Introducing computational modeling into STEM classrooms can provide opportunities for the simultaneous learning of computational thinking (CT) and STEM. This paper describes the C2STEM modeling environment for learning physics, and the processes ...
Intelligent Tutoring System for Negotiation Skills Training
Intelligent tutoring systems have proven very effective at teaching hard skills such as math and science, but less research has examined how to teach “soft” skills such as negotiation. In this paper, we introduce an effective approach to teaching ...
Robot Lecture for Enhancing Non-verbal Behavior in Lecture
In lecture with presentation slides such as e-Learning lecture on video, it is important for lecturers to control their non-verbal behavior involving gaze, gesture, and paralanguage to attract learners’ attention to slide or oral contents they ...
Design Prompts for Virtual Reality in Education
The Learning Innovation team at the Open University, the UK’s largest higher education institution, is leading a project to support the design and implementation of educational Virtual Reality (VR). Using an iterative design methodology enables ...
Assessing and Improving Learning Outcomes for Power Management Experiments Using Cognitive Graph
The series of Power Management Lab Kits (PMLK), released by Texas Instruments (TI), have been globally adopted in classroom settings. We propose a cognitive graph-based method to assist better adoption of TI-PMLK in Chinese power electronics ...
Does Choosing the Concept on Which to Solve Each Practice Problem in an Adaptive Tutor Affect Learning?
We conducted a controlled study to investigate whether having students choose the concept on which to solve each practice problem in an adaptive tutor helped improve learning. We analyzed data from an adaptive tutor used by introductory ...