Ontology-based e-assessment for accounting: Outcomes of a pilot study and future prospects

Litherland, Kate; Carmichael, Patrick; Martínez-García, Agustina

doi:10.1016/j.jaccedu.2013.03.003

Cited by 20 publications

(7 citation statements)

References 21 publications

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“…sensory testing practice [19], Earth science [20], accounting [21,22], geography [23], energy education [24], project management [25], dental education [26], psychology education [27]. The type of e-tests varies, but most providers used multiple-choice questions [23,24,25,27,28,29].…”

Section: Examples Of Formative E-assessment Applicationsmentioning

confidence: 99%

Semantic Formative E-Assessment for Project Management Professionals

Dascălu

Bodea

Marin

2015

2015 4th Eastern European Regional Conference on the Engineering of Computer Based Systems

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The paper presents the module for formative eassessment in a complex learning management system. The module implements the automatic evaluation of answers to open questions and provides feedback related to further reading or joining suitable expert communities. The evaluation of the questions is accomplished using diverse ontology-related technologies and open-source tools, such as GATE, WordNet, Text2Onto, OpenNLP, Jena API, Alignment API, Protégé. A use-case scenario is offered for trainees willing to obtain a project management professional certification. The challenges of integration and optimal exploitation of such a module into a learning management system are underlined, stressing the fact that the mapping between concepts which have to be evaluated through assessment and professional competences standards has not currently a straightforward solution. Thus, we could say the system-based solution we envisioned is both technology-driven and need-driven: based on combining recent semantic technologies, it satisfies the experts' urge to provide competency-based learning aligned to well-established standards which reflect the market requirements and the trainees' need of having an intelligent tool helping them to prepare for open-questions based exams, which are currently less supported by IT. Keywords-formative e-assessment; open-questions based exams; ontology alignment; learning management systemI.

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Section: Examples Of Formative E-assessment Applicationsmentioning

confidence: 99%

Semantic Formative E-Assessment for Project Management Professionals

Dascălu

Bodea

Marin

2015

2015 4th Eastern European Regional Conference on the Engineering of Computer Based Systems

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“…It can scaffold students learning due to its role in instructional design and curriculum content sequencing [3]. Also, ontologies have been used in intelligent tutoring systems [4], students assessments [10], and feedback [15]. An ontology-based feedback to support students in programming tasks was introduced by [15].…”

Section: Related Workmentioning

confidence: 99%

Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology

Shatnawi

Gaber

Cocea

2014

Lecture Notes in Computer Science

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MOOCs offer free access to educational materials, leading to large numbers of students registered in MOOCs courses. The MOOCs forums allow students to post comments and ask questions; due to the number of students, however, the course facilitators are not able to provide feedback in a timely manner. To address this problem, we identify content-knowledge related posts using a course domain ontology and provide students with timely informative automatic feedback. Moreover, we provide facilitators with feedback of students posts, such as frequent topics students ask about. Experimental results from one of the courses offered by Coursera 3 show the potential of our approach in creating a responsive learning environment.

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“…It can scaffold students learning due to its role in instructional design and curriculum content sequencing [14]. Also, ontologies have been used in intelligent tutoring systems [17], student assessments [46], and feedback [51,58]. An ontology-based feedback framework to support students in programming tasks was introduced by [51].…”

Section: Introductionmentioning

confidence: 99%

A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education

Shatnawi¹,

Gaber²,

Cocea³

2019

Preprint

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We propose a heuristically modified FP-Tree for ontology learning from text. Unlike previous research, for concept extraction, we use a regular expression parser approach widely adopted in compiler construction, i.e., deterministic finite automata (DFA). Thus, the concepts are extracted from unstructured documents. For ontology learning, we use a frequent pattern mining approach and employ a rule mining heuristic function to enhance its quality. This process does not rely on predefined lexico-syntactic patterns, thus, it is applicable for different subjects. We employ the ontology in a question-answering system for students' content-related questions. For validation, we used textbook questions/answers and questions from online course forums. Subject experts rated the quality of the system's answers on a subset of questions and their ratings were used to identify the most appropriate automatic semantic text similarity metric to use as a validation metric for all answers. The Latent Semantic Analysis was identified as the closest to the experts' ratings. We compared the use of our ontology with the use of Text2Onto for the question-answering system and found that with our ontology 80% of the questions were answered, while with Text2Onto only 28.4% were answered, thanks to the finer grained hierarchy our approach is able to produce.

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Ontology-based e-assessment for accounting: Outcomes of a pilot study and future prospects

Cited by 20 publications

References 21 publications

Semantic Formative E-Assessment for Project Management Professionals

Semantic Formative E-Assessment for Project Management Professionals

Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology

A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education

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