Evaluating the Quality of Serious Games as Modern E-Learning Environments

2022 ◽  
pp. 488-503
Author(s):  
Yassine El Borji ◽  
Mohamed Khaldi
Keyword(s):  
Comparative Study ◽  
Learning Environments ◽  
Serious Games ◽  
Review Process ◽  
Research Effort ◽  
Learning Methods ◽  
E Learning ◽  
Specific Evaluation

This chapter focuses on aspects of the integration of serious games in the field of education by examining the quality of serious games intended to be integrated into education. This review process must take into account the coherence between all the aspects constituting the serious games as they are characterized by their diversity in terms of content and quality. By conducting a comparative study based on the various studies of evaluation and classification of serious games already carried out, the authors have focused their research effort in this chapter on the design of a tool for the evaluation of serious games quality intended to be used in the field of education. A tool that determines if the learning methods related to games are correlated with pedagogical aspects and contributes to the knowledge of serious games and promote their use in the educational sphere. The study offers two levels of evaluation, global and specific; the overall level allows a global judgment unlike the specific evaluation that ensures that there is always a balance between different aspects of serious games.

Evaluating the Quality of Serious Games as Modern E-Learning Environments

2020 ◽  
pp. 206-221
Author(s):  
Yassine El Borji ◽  
Mohamed Khaldi
Keyword(s):  
Comparative Study ◽  
Learning Environments ◽  
Serious Games ◽  
Review Process ◽  
Research Effort ◽  
Learning Methods ◽  
E Learning ◽  
Specific Evaluation

This chapter focuses on aspects of the integration of serious games in the field of education by examining the quality of serious games intended to be integrated into education. This review process must take into account the coherence between all the aspects constituting the serious games as they are characterized by their diversity in terms of content and quality. By conducting a comparative study based on the various studies of evaluation and classification of serious games already carried out, the authors have focused their research effort in this chapter on the design of a tool for the evaluation of serious games quality intended to be used in the field of education. A tool that determines if the learning methods related to games are correlated with pedagogical aspects and contributes to the knowledge of serious games and promote their use in the educational sphere. The study offers two levels of evaluation, global and specific; the overall level allows a global judgment unlike the specific evaluation that ensures that there is always a balance between different aspects of serious games.

scholarly journals Technical Quality of a Mobile SPOC

2018 ◽  
Vol 12 (5) ◽  
pp. 140
Author(s):  
Naima Belarbi ◽  
Abdelwahed Namir ◽  
Nadia Chafiq ◽  
Mohammed Talbi
Keyword(s):  
Learning Environments ◽  
Online Courses ◽  
Mobile App ◽  
Technical Quality ◽  
Quality Factors ◽  
Computer Based Learning ◽  
E Learning ◽  
Computer Based ◽  
Windows Phone

<p class="0papertitle">Computer based Learning Environments are mainly shaped by emerging environments such as Massive Open Online Courses (MOOCs), SPOCS (Small Private Online Courses) and Mobile learning. This variety challenges the quality of the content delivered in these various environments. In Moroccan higher education, SPOCS is a trending topic widely used in its context of blended learning. The present work focuses on an SPOC delivered as a hybrid mobile app and on factors that define its technical quality. The objective is to propose a set of technical quality factors which are defined following a study of literature, focusing on frameworks, labels, practices that are used to assess the quality of e-learning environments, MOOCs, SPOCs and mobile applications. ISO standards for the quality software and the guidelines for the most dominant Mobile Operating Systems (Android/IOS/Windows phone) are also considered when defining these criteria. The proposed criteria can be twofold used: 1) to assess the technical quality of an existing mobile SPOC; 2) constitutes guidelines to increase the technical quality of a new mobile SPOC</p>

Interactive E-Textbook Platform Based on Block Editing Model in Crowdsourcing E-Learning Environments

2021 ◽  
Vol 17 (1) ◽  
pp. 50-66
Author(s):  
Ja-Ryound Choi ◽  
Soon-Bum Lim
Keyword(s):  
Programming Languages ◽  
Learning Environments ◽  
Visual Programming ◽  
Student Feedback ◽  
Feedback Information ◽  
Feedback Analysis ◽  
Digital Textbooks ◽  
E Learning ◽  
Visual Programming Language

Instructors can now work with students to create various textbooks based on crowdsourcing. In particular, as feedback provided by students is essential for determining the quality and direction of classes, instructors should interact with students who are currently participating in classes by exchanging feedback. This paper proposes a block editing model that can reflect student feedback. The block editing model is an interactive e-textbook editing model that is dynamically updated based on the feedback provided by students in real time without modifying the structure of digital textbooks. In particular, in order for even non-developers who do not know web programming languages to be able to produce interactive digital textbooks easily, the authors developed an editor that could help implement them based on Blockly, a visual programming language. This paper enables instructors to improve the direction and quality of classes depending on the learning achievement of students and understanding based on feedback information provided by students and feedback analysis.

A Conceptual Framework for E-Assessment in Higher Education

2014 ◽  
pp. 652-673 ◽  
Author(s):  
Luís Tinoca ◽  
Alda Pereira ◽  
Isolina Oliveira
Keyword(s):  
Higher Education ◽  
Conceptual Framework ◽  
Learning Environments ◽  
Four Dimensions ◽  
Assessment Culture ◽  
Digital Assessment ◽  
E Learning ◽  
Assessment In Higher Education ◽  
Assessment Strategies

The assessment of competences requires an approach where knowledge, abilities, and attitudes are integrated, naturally implying the resource to a variety of assessment strategies. Within this context, we have seen the emergence of what has been called by several authors, the Assessment Culture. Furthermore, Higher Education e-learning environments have also promoted the use of new e-assessment strategies. Therefore, it is important to reconsider the concept of quality assessment in Higher Education online contexts, and particularly how to develop it in the present learning landscapes. In this chapter, the authors present a new conceptual framework for digital assessment in Higher Education supported by four dimensions—authenticity, consistency, transparency, and practicability—each composed by a set of criteria, aimed at promoting the quality of the assessment strategies being used. This framework was developed based on the expansion of the concept of validity supported by edumetric qualities.

Education and E-Learning Evaluation and Assessment

2009 ◽  
pp. 189-194
Author(s):  
Emilio Lastrucci ◽  
Debora Infante ◽  
Angela Pascale
Keyword(s):  
Learning Environments ◽  
Needs Analysis ◽  
Assessment And Evaluation ◽  
Face To Face ◽  
Learner Centered ◽  
E Learning ◽  
New Perspective ◽  
Definition Of ◽  
Teaching Learning

The assessment of e-learning shares most of the needs and requirements of face-to-face teaching, including clarity of the main objective, needs analysis, comprehensibility of objectives, definition of resources, and balance report (Calvani & Rotta, 2000). However, in e-learning environments the qualities of both monitoring and formative assessment have prominence, and can even determine the success of the course (Moore & Kearsley, 1996). In the learner-centered approach, typical in e-learning, the student is the protagonist of the teaching-learning process and thus, assessment is considered from a new perspective. It can be defined as the systematic process of correction, revision, collection, and use of information regarding both the students and the course in order to favor the progress and the learning of each student (Palomba & Banta, 1999). Assessment and evaluation are two different concepts even though they are interconnected: the former determines the student’s knowledge, skills and attitudes while the latter is necessary to express an opinion on learning results and on the quality of teaching.

Multidimensional Assessment of Open-Ended Questions for Enhancing the Quality of Peer Assessment in E-Learning Environments

2020 ◽  
pp. 147-173
Author(s):  
Loc Phuoc Hoang ◽  
Le Anh Phuong ◽  
Somjit Arch-int ◽  
Ngamnij Arch-Int
Keyword(s):  
Learning Environments ◽  
Process Model ◽  
Peer Assessment ◽  
Student Assessment ◽  
Assessment Method ◽  
Free Text ◽  
Multidimensional Assessment ◽  
Positive Attitudes ◽  
E Learning

In online learning environments, peer assessment activities lack the observation and supervision by the teacher or instructor. Therefore, students may be lacked full effort to assess their peers. There exist the students' hesitation about criticizing their peers and scoring their peers honestly, the likelihood for peer assessment to be occasionally unreliable and unfair. The present assessment methods focus only on the single-dimensional assessment of content rather than the activities and collaborations among the students. Students also have no chance to analyze and comment on their peer answers. This study explored the multidimensional assessment method on open-ended question to foster positive attitudes and full effort among students engaging in E-learning environments. The objectives are as follows: 1) To develop a process model for multidimensional assessment (M-DA) to enable effective learning 2) To develop free-text answers assessment by using vector space model and semantic extraction model 3) To develop an algorithm for evaluating students' based on multidimensional assessment. Two groups of parallel students taking an e-course were tested on the system. The results of experiment noted that the proposed method overcomes the method just focuses on student assessment only without consideration and evaluation of the quality of the peer assessment. In light of the findings, the proposed method actively impacted on the development and improvement of learning and the quality of peer assessment among students in E-learning environments.

scholarly journals Studi Komparasi Metode Machine Learning untuk Klasifikasi Citra Huruf Vokal Hiragana

2021 ◽  
Vol 5 (3) ◽  
pp. 905
Author(s):  
Muhammad Afrizal Amrustian ◽  
Vika Febri Muliati ◽  
Elsa Elvira Awal
Keyword(s):  
Machine Learning ◽  
Comparative Study ◽  
Image Classification ◽  
Nearest Neighbor ◽  
Support Vector ◽  
K Nearest Neighbor ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
The Comparative Study

Japanese is one of the most difficult languages to understand and read. Japanese writing that does not use the alphabet is the reason for the difficulty of the Japanese language to read. There are three types of Japanese, namely kanji, katakana, and hiragana. Hiragana letters are the most commonly used type of writing. In addition, hiragana has a cursive nature, so each person's writing will be different. Machine learning methods can be used to read Japanese letters by recognizing the image of the letters. The Japanese letters that are used in this study are hiragana vowels. This study focuses on conducting a comparative study of machine learning methods for the image classification of Japanese letters. The machine learning methods that were successfully compared are Naïve Bayes, Support Vector Machine, Decision Tree, Random Forest, and K-Nearest Neighbor. The results of the comparative study show that the K-Nearest Neighbor method is the best method for image classification of hiragana vowels. K-Nearest Neighbor gets an accuracy of 89.4% with a low error rate.

scholarly journals The Patras Blended Strategy Model for Deep and Meaningful Learning in Quality Life-Long Distance Education

2019 ◽  
Vol 17 (2-June 2019) ◽  
Keyword(s):  
Distance Education ◽  
Research Evaluation ◽  
Meaningful Learning ◽  
Metacognitive Skills ◽  
Long Distance ◽  
Learning Methods ◽  
Life Long Learning ◽  
Quality Life ◽  
E Learning

Life-long learning is currently being embraced as a central process that could disrupt traditional educational paths. Apparently, the (ideal) type of learning often promoted is deep and meaningful learning, though it is not always required to be so. Deep learning goes beyond superficial knowledge assimilation of unlinked facts; it aims at developing deep disciplinary understanding, transformative knowledge, personal meaning, emotional intelligence, critical thinking, creativity and metacognitive skills. Meaningful learning occurs when learning is active, constructive, intentional, authentic, and cooperative. Technology enhanced teaching and learning methods should prove their potential to transform life-long learning provision and facilitate the achievement of deep and meaningful learning. In the context of distance education inlife-long learning, one important challenge is the design of versatile quality assurance strategies for e-training. Based on the experiences in distance lifelong learning programmes in the University of Patras’ Educational Center for Life-Long Learning (KEDIVIM) the authors present how the principles and attributes of deep and meaningful learning can be combined with project management in practice and be incorporated in an e-Learning quality strategy. We present i) the methods used to assess the quality of the e-Learning programmes, ii) key findings of the evaluation process and iii) first research evaluation results on the quality of learning. This research study on learning process quality was conducted by using an online questionnaire, which aimed at estimating the level of participants’ satisfaction while using interactive learning methods such as collaborative learning. Some results of the evaluation indicate that the e-Learning quality strategy led to e-Learning programmes that used active learning methods to achieve high learners’ satisfaction towards deep and meaningful learning.

A Hybrid Analysis of E-Learning Types and Knowledge Sharing Measurement Indicators

2014 ◽  
pp. 60-70
Author(s):  
Davood Qorbani ◽  
Iman Raeesi Vanani ◽  
Babak Sohrabi ◽  
Peter Forte
Keyword(s):  
Learning Environment ◽  
Knowledge Sharing ◽  
Conceptual Model ◽  
Learning Environments ◽  
Hybrid Analysis ◽  
Different Types ◽  
E Learning ◽  
Social Organizational ◽  
Learning Types

E-learning as a method of effective transference of knowledge is being widely used. This chapter introduces a conceptual model that shows administrators/directors of e-learning environments how to recognize and utilize different sets of knowledge sharing indicators (a combination of individual, social, organizational, and technical indicators) to enhance the quality of learning in e-learning environments. A model in which different types of e-learning can be employed is introduced and elaborated. Then, several knowledge-sharing indicators that have the potential of facilitating and enhancing the e-learning environment are presented. Finally, the conceptual model of knowledge sharing indicators to facilitate different types of e-learning environments is provided and discussed.

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