INDIeAuthor: A Metamodel-Based Textual Language for Authoring Educational Courses

Pérez-Berenguer, Daniel; Garcí­a-Molina, Jesús

doi:10.1109/access.2019.2911884

Cited by 11 publications

(15 citation statements)

References 14 publications

(32 reference statements)

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“…INDIeAuthor is an authoring tool built on UPCTforma [2]. The upper part of Figure 1 shows the three constituting elements of INDIeAuthor, shortly described below.…”

Section: Learning Analytics In Indieopenmentioning

confidence: 99%

“…A generator transforms these rules into Drools rules. 2 For example, a goal for a teacher could be ''to know which students are active in her Software Technology class''. If no indicator exists for this goal then she/he should use the tool to create a new question ''how active are my students in the Software Technology class'', and she/he should use RIDT to create a new indicator by using available wizard to indicate: the indicator name, the indicator type (e.g.…”

Section: A La Customization Approachesmentioning

confidence: 99%

“…In [2] a comparative study of 9 authoring tools was presented. Tables summarizing the results of this study can be found in [37].…”

Section: La Support In Authoring Toolmentioning

confidence: 99%

“…of textual languages to develop courses, as described in [2]. Building INDIeOpen is a strategic decision of the university with two main purposes: (i) having an extendable and interoperable solution which provides the desired functionality for its virtual campus; and (ii) investigating and innovating in the educational technology field.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, a metamodel-based textual DSL named CustomLA has been created and integrated in the DSL family of the INDIeAuthor tool. As described in [2], INDIeAuthor consists of a family of four DSLs tailored to the task of creating educational courses by defining their content, evaluation, course sequencing, and gamification. The CustomLA DSL allows teachers to define indicators that determine which students, at a given time, are satisfying one or more conditions in terms of study time or achievements.…”

Section: Introductionmentioning

confidence: 99%

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A Customizable and Incremental Processing Approach for Learning Analytics

2020

Self Cite

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The ability of learning analytics to improve the learning/teaching processes is widely recognized. In this paper, the learning analytics architecture developed at the Digital Content Production Center of the Technical University of Cartagena (Spain) is presented. This architecture contributes to the field of learning analytics in two aspects: it allows for dashboard customization and improves the efficiency of the analysis of learners' interaction data. Events resulting from learners' interaction are captured and stored in Caliper standard format, to be further processed incrementally to allow dashboards to be shown without delay to teachers. Customization is considered a mandatory requirement for learning analytics tools, however, although some proposals have recently been made, a greater research effort in this topic is necessary. In the present work, this requirement is addressed by defining a domain-specific language (DSL) that allows teachers to customize dashboards. This language allows to express indicators (logical expressions) that classify students into different groups depending on their performance level. The paper also shows how our learning analytics approach was evaluated with a course that applies a flipped classroom method, and how it compares to the most relevant related works that have been published.

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“…INDIeAuthor is an authoring tool built on UPCTforma [2]. The upper part of Figure 1 shows the three constituting elements of INDIeAuthor, shortly described below.…”

Section: Learning Analytics In Indieopenmentioning

confidence: 99%

Section: A La Customization Approachesmentioning

confidence: 99%

“…In [2] a comparative study of 9 authoring tools was presented. Tables summarizing the results of this study can be found in [37].…”

Section: La Support In Authoring Toolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Customizable and Incremental Processing Approach for Learning Analytics

2020

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Analytical Design of Clinical Cases for Educational Games

Mota¹,

Pantoja²,

Mota³

et al. 2019

Entertainment Computing and Serious Games

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Preparing medical students to provide emergency care is one of the biggest challenges in health education, as novices must articulate a wide spectrum, ever-growing knowledge of a generalist physician in the shortest possible time. Previous experience has shown that a problembased e-Learning environment, presenting clinical cases to be solved by students, has several benefits in the learning process. This paper describes the design and development of an approach to produce health learning games. The approach focuses on combining student engagement with realistic narratives. The central component is a narrative scripting language that enables rapid prototyping and integration with a data analysis backed authoring process. Our method has been materialized in an educational game authoring environment that allows the creation of complex cases and automatic generation of simpler ones. The analytical design provides a scalable method to create medical learning experiences based on well-defined medical education theories and health data.

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Goal-oriented student motivation in learning analytics: How can a requirements-driven approach help?

Talbi

Ouared

2022

Educ Inf Technol

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Determining student motivation within the context of Learning Analytics is fundamental for academic students to realize their educational goals. We aim to perceive the student’s motivation state at a high level of abstraction and act accordingly to deal with motivation issues. We investigate how Model-Driven Engineering paradigms capture the essence of a motivation domain and provide deep automation in stimulating students’ tasks. In this paper, first, we propose a Conceptual Modeling Approach that provides a unified environment in which all dimensions of students’ motivation are explicitly defined. Secondly, a guideline, allows educational stakeholders to perceive the states of change in students’ motivation. Third, the issue of student motivation is addressed by making a mechanism that stimulates students. Finally, to stress our approach and to prove how it is useful, we present a global usage scenario for our system called Hafezni . Sixteen Master’s students of the computer science department of the Ibn Khaldoun University of Algeria participated in the experiment. Results showed that our approach allows educational actors to perceive the motivational state of the student. The Hafezni mobile app is useful according to learners and educational stakeholders. Finally, the student motivation makes sense on the causality of failure/success with an acceptable percentage of correctly classified instances increased from 69.23% to 96.13%.

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INDIeAuthor: A Metamodel-Based Textual Language for Authoring Educational Courses

Cited by 11 publications

References 14 publications

A Customizable and Incremental Processing Approach for Learning Analytics

A Customizable and Incremental Processing Approach for Learning Analytics

Analytical Design of Clinical Cases for Educational Games

Goal-oriented student motivation in learning analytics: How can a requirements-driven approach help?

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