Authors:Meng Wang Pages: 4 - 16 Abstract: With the advancement of science and technology, electronic devices are more extensively popularized, and students are being exposed to touch-type online at an early age, thus promoting the digitalization of children’s education and contributing to the proliferation of learning resources. Touch-type educational games emphasize learning autonomy, integrate teaching knowledge contents with games, and highlight that when using educational games, learners can obtain immediate and real feedback and identify learning and game objectives, thereby intensifying their learning. In this study, a questionnaire regarding the effect of touch-type online game education on learners’ learning motivations was designed on the basis of educational game theory. The mediating role played by learning immersion between the two was also measured. Results show that the overall Cronbach α coefficient is 0.825, the KMO value is 0.688, and the corresponding P value of Bartlett sphericity test is 0.0. In touch-type online game education, multi-organ sensing, touch gesture, and multi-hotspot response significantly affects learners’ learning motivations. Learning immersion exerts a masking effect on teachers’ initiatives in promoting learning motivations. The proportion of touch games play during class hours has different effects on learning motivation (p=0.020<0.05). The findings are critical for investigating the effects of touch interaction models on learners’ learning motivations, developing a set of evaluation indexes for educational game learning accessibility, and perfecting their evaluation methods. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.37817 Issue No:Vol. 18, No. 06 (2023)
Authors:Khaled Ahmed Aqeel Alzubi Pages: 17 - 27 Abstract: The aim of this study is to explore the effectiveness of teaching mathematics using computer modeling. It was conducted for a five-grade engineering unit by modeling concepts, terminology, and issues related to engineering in collaboration between groups of students and teachers from several primary schools. in Amman, Jordan, in the academic year 2021/2022. The working group consisted of thirty students. An action research model was used to conduct this study. Photographs, videos, teacher records, graded grading model, focus group discussions, and researcher's record were used to collect data. Through percentage statistics and content analysis, the obtained qualitative data were analyzed. And concluded that the positive impact of students' use of computer modeling in learning aeronautical engineering mathematics and motivating students towards studying mathematics and increasing study skills and the ability to represent and model to clarify any issue in mathematics in space engineering. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.37683 Issue No:Vol. 18, No. 06 (2023)
Authors:Jiang Guiwen Pages: 28 - 41 Abstract: With the rapid development of computer technology and constant advance of teaching information reform in the field of higher education, how to cultivate qualified computer talents in teaching seems particularly important. However, the current computer teaching is still based on theoretical teaching, the application form of teaching methods is unitary, and the teaching effect is not ideal. In this study, on the basis of Moodle platform, a teaching mode of deep learning was constructed using the guiding concept of multiple intelligences theory. This model was mainly performed in three stages through three links, which corresponded to three levels of deep learning. In this study, 100 students majoring in computer science were taken as research objects for teaching practice, and students’ learning ability was measured and assessed through numerous methods, such as questionnaire survey, classroom observation, work assessment, and interview. The validity of this model was verified through an analysis and summary of experimental data. Results suggest that deep learning mode can effectively develop students’ computer ability and improve their learning initiative and innovation. This study verifies that online teaching mode based on deep learning is effective and is of certain significance and implication for the development of the course of computer technology. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.38011 Issue No:Vol. 18, No. 06 (2023)
Authors:Sabah Saeed Hammadi, Ban Hassan Majeed , Areej Khuder Hassan Pages: 42 - 52 Abstract: — To identify the effect of deep learning strategy on mathematics achievement and practical intelligence among secondary school students during the 2022/2023 academic year. In the research, the experimental research method with two groups (experimental and control) with a post-test were adopted. The research community is represented by the female students of the fifth scientific grade from the first Karkh Education Directorate. (61) female students were intentionally chosen, and they were divided into two groups: an experimental group (30) students who were taught according to the proposed strategy, and a control group (31) students who were taught according to the usual method. For the purpose of collecting data for the experiment, an achievement test was built, which is in its final form (25) test items and a practical intelligence test out of (20) test items of the objective type for both of them. Based on the findings, the students of the experimental group who studied according to deep learning strategies outperformed on those who by the traditional. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.38615 Issue No:Vol. 18, No. 06 (2023)
Authors:Jallal Talaghzi, Mostafa Bellafkih, Abdellah Bennane, Mohammed Majid Himmi, Mohammed Amraouy Pages: 53 - 70 Abstract: In this paper, we propose learners course recommender system of the E-Dirassa platform. This system, which distinguishes between new and active learners, adopts three complementary recommendation approaches: content-based recommendation as well as course-based collaborative filtering for active learners, and static profile-based collaborative filtering for new learners. Let us also note the use of multi-criteria decision aid (MDA) techniques for the choice of the textual similarity measure to be used in the first approach of content-based recommendation. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.36987 Issue No:Vol. 18, No. 06 (2023)
Authors:Wajeeh Daher, Nimer Baya'a, Otman Jaber Pages: 71 - 82 Abstract: Programming problems enrich the environment of mathematics learning, adding the flavor of technology to these problems. This is especially true when this programming is Scratch based, where Scratch is being used to make students’ learning of mathematics more meaningful. This role of programming in the mathematics classroom points at the importance of preparing mathematics teachers for designing mathematics-based programming problems activities. The present research describes one attempt to prepare mathematics preservice teachers in designing mathematics-based programming problems activities that could be used in the classroom to teach both programming and mathematics concepts. Twenty-three preservice teachers participated in the research, where they worked in eight groups of 2-3 members in each group. Data collected through observations based on video recordings of the sessions in which the preservice teachers discussed with the pedagogical supervisors the designed mathematics activities. The preparation model comprises of five stages related to the educational environment and to the design notions. The results show special importance for the concepts of struggle and devolution in designing this kind of activities, in addition to the concept of equilibrium between the creative and imitative thinking. The results also show the useful application of metacognitive skills when designing the activities, especially when designing the directions given to the students for solving each of the programming activities. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.36965 Issue No:Vol. 18, No. 06 (2023)
Authors:Yun Jia, Ruimin Qi Pages: 83 - 95 Abstract: To explore the influence of the immersive virtual environment on the learning process of students, it is necessary to analyze the learning effect and learning experience. The immersive virtual environment provides a new idea for education, changes the traditional teaching mode, adds an immersive experience in the teaching process, and increases the participation and fun of students in the classroom. The learning effect and learning experience were analyzed, the positive effect of the immersive virtual environment on students was verified, and the influence of the immersive virtual environment on learning effect and learning experience was explored. Results indicate that the comprehensive score of teaching effect obtained by students with the research method is higher than that before the use of the research method, before using research methods, the average score of students is 84.7, and the average score of students in the experimental class after adopting the method in this study and one month of learning increases by 10 points. The immersive virtual environment has a positive effect on the learning effect and learning experience of students in each discipline. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.37815 Issue No:Vol. 18, No. 06 (2023)
Authors:Wei Liu, Shuyuan Bi Pages: 96 - 109 Abstract: Mining a large number of students' behavior data can analyze the differences of students' behavior characteristics. Mining based on students' behavior data can explore the influence mechanism of students' learning enthusiasm, and can provide reference opinions and suggestions for improving students' positive emotions in learning and helping students with poor grades to achieve academic success. The data collected and conclusions obtained by the existing research are not accurate and reliable, and other personality characteristics of students are not fully considered. Therefore, this article studies the influence mechanism of students' learning enthusiasm based on educational big data. It studies the performance of students with good learning enthusiasm in social relations, and mines students’ social intercourse at school based on association rules. It analyzes the regularity of students' behavior and their diligence, and realizes the characterization of students' sustainability and enthusiasm in learning. Combining the differences of behavior characteristics between students with and without learning enthusiasm, this article constructs a learning enthusiasm recognition model and compares it by classification. Experimental results verify the effectiveness of the model. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.38717 Issue No:Vol. 18, No. 06 (2023)
Authors:Aknur Zhidebekkyzy, Gulsharat Minazheva, Zhansaya Temerbulatova, Dinara Kalmakova Pages: 110 - 129 Abstract: Evaluating the effectiveness of research activities is one of the topical issues in the higher education system. Despite this, studies on the extensive assessment of research units' outputs at the university are rare. The main goals of this study are (1) the development of a comprehensive methodology for assessing the research performance of the units; (2) testing this methodology to compare the performance indicators of 37 research institutes and centers. Both quantitative and qualitative research methods were applied in this study. Research results can be beneficiary for government bodies, allowing them to make decisions about the allocation or reallocation of funding and top management in higher education for benchmarking and internal performance evaluation of research institutes and centers. This article contributes to the theoretical basis of research performance evaluation at HEIs and puts forward a step-by-step methodology. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.36733 Issue No:Vol. 18, No. 06 (2023)
Authors:Xia Gao, Dongning Kang, Hao Wu Pages: 130 - 145 Abstract: Scientific and technological innovation ability of students is an important part of scientific and technological innovation in higher vocational colleges. There are few scientific and technological innovation achievements and low scientific and technological content of technical application achievements in higher vocational colleges at present, which are mainly caused by the single innovation organization form and weak innovation knowledge sharing ability. It is of great significance and value to explore the knowledge flow of scientific and technological innovation in colleges and universities and the collaborative innovation of college students. There is little research on the relationship between knowledge flow of scientific and technological innovation and collaborative innovation of college students in the existing literature, so this article has carried out relevant research. This article constructs the mathematical model of knowledge flow of scientific and technological innovation in colleges and universities, analyzes the stability of the mathematical model of knowledge flow of scientific and technological innovation in colleges and universities, and gives the framework of collaborative innovation ecosystem for college students. This article accurately measures the embedding of scientific and technological innovation resources in colleges and universities, the knowledge flow of scientific and technological innovation and the collaborative innovation performance of college students, and empirically tests the direct influence effect of embedding scientific and technological innovation resource network in colleges and universities on the collaborative innovation performance of college students and the moderating effect of the knowledge flow of scientific and technological innovation in colleges and universities. Finally, the corresponding experimental analysis results are given. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.38723 Issue No:Vol. 18, No. 06 (2023)
Authors:Qiucheng Liu Pages: 146 - 161 Abstract: An interest-oriented teaching method can stimulate students' interest in learning, thus generating great internal drive. The personalized learning resource recommendation method for interest-oriented teaching meets students' personalized learning preference needs, reduces students' learning resource selection cost, and provides students with more diversified and rational learning resource supply. Different from traditional recommendation algorithms, the recommendation algorithm constructed in this article essentially adjusts the recommendation results in real time based on college students' adoption behavior of historical recommendation information. This article describes the problem of personalized learning resource recommendation for interest-oriented teaching, and constructs a personalized learning resource recommendation model based on the communication power of high-scoring learning resources. Experimental results verify the effectiveness of the model. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.38721 Issue No:Vol. 18, No. 06 (2023)
Authors:Shujuan Ouyang Pages: 162 - 176 Abstract: Short video online learning resources are widely used in online learning classes because of their strong display ability, popularity and easiness to understand and concise content. The existing learning resource recommendation methods usually ignore the local time series dependence information and possible periodic changes of students' historic online learning rules, and are not suitable for the recommendation scenarios of short video online learning resources. Therefore, this article studies the personalized combination recommendation method of short video online learning resources. Preprocessing of short video online learning resources is carried out, including content feature analysis and candidate recommendation list generation. Then, based on the initial recommendation list, a combination recommendation model of short video online learning resources based on information enhancement and overlapping information of knowledge points is proposed, and the construction ideas of the model are described in detail. Experimental results verify the effectiveness of the model. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.38719 Issue No:Vol. 18, No. 06 (2023)
Authors:Wijdane Kaiss, Khalifa Mansouri, Franck Poirier Pages: 177 - 189 Abstract: Pre-evaluation of the learner's level is a common learning strategy designed to determine the prior knowledge and skills of learners. A pre-evaluation is carried out at the beginning of the course and based on the results obtained, personalized resources will be provided that respond to individual learner needs. This paper presents a pre-evaluation for a C programming language course by providing, at the end of the quiz, a personalized formative feedback and recommendation to the learners. We have developed our conversational chatbot named QuizCbot, which allows learners to go directly to the parts where they need the most help through the personalized feedback provided to them, including their final scores, the questions they answered correctly and the questions they answered incorrectly with the correct answer and explanation. Hence, the chatbot makes a recommendation on the concepts in which the learner did not obtain the average, identifying the concepts not mastered where the learner needs more (or less) support. Determining what learners know and don't know can help to improve the learning experience. We have integrated our QuizCbot chatbot, which is based on Natural Language Understanding (NLU), into the Moodle learning environment. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.36783 Issue No:Vol. 18, No. 06 (2023)
Authors:PS Nivedhya, Sushant Malik, Dharmesh K. Mishra, Dipen Paul, Jeevan Nagarkar Pages: 190 - 201 Abstract: The paper provides an introduction to e-learning and the impact of its shift from offline to online pedagogy. On one side, e-learning has made access to numerous learning opportunities flexible in time. On the other side, it also impacts the student's learning process. This paper aims to find out the status of e-learning adaptation among students by understanding the impact of COVID scenario on e-learning adaptation, the impact of user's time, course structure, and edginess among students. This paper also studies if the cost-effectiveness does prevail or not with the current course design and if it can be applied to the virtual courses as well or not. This study discovers the possible outcomes through virtual learning and is affects the present mindset of a learner or not. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.37511 Issue No:Vol. 18, No. 06 (2023)
Authors:Mouna Kaouni, Fatima Lakrami, Ouidad Labouidya Pages: 202 - 219 Abstract: Nowadays, teaching involves more and more the usage of digital tools to accompany face-to-face learning. Such a system is being referred to as hybrid teaching. These digital tools include mainly distance learning platforms based on LMS (Learning management systems). LMS help to create on-line digital spaces to store and organize teaching material while providing a pedagogical learning process to connect educational communities. Despite the many forms of content that can be implemented on these platforms, from traditional file-based to interactive and animated content, these systems remain both passive and generic. They lack the ability to adapt to the learner in terms of learning skills, preferences, languages, intellectual abilities, learning patterns and rhythms. This paper proposes a design and modeling of an intelligent and dynamic adaptive learning system based on artificial intelligence with the main objective of identifying and providing personalized learning environments adapted to the learner needs. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.35839 Issue No:Vol. 18, No. 06 (2023)
Authors:Andi Widiyanto, Bambang Pujiarto, Nugroho Agung Prabowo, Mukhtar Hanafi, R Arri Widyanto, Meidar Hadi Avizenna, Joni Rodito, Nida Muna Fadhilla Pages: 220 - 227 Abstract: Online learning is currently one of the popular learning concepts in schools. The results of online learning are still not as expected. This is due to the lack of reliability of teachers in mastering learning platforms and the lack of virtual meetings between teachers and students. Home Learning Indonesia (HLI) is a Learning Management System with virtual meetings and blockchain technology is an alternative to solving this problem. This research utilizes blockchain technology to minimize the shortcomings of existing virtual meeting platforms. In this study, testing HLI virtual meetings and several other platforms. The results of the HLI Virtual meetings test when the requests given are getting higher, and the throughput is decreasing following the number of requests given. These results can show that the use of blockchain in virtual meetings can increase network stability in its use. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.37255 Issue No:Vol. 18, No. 06 (2023)
Authors:Raja Muhammad Ishtiaq Khan, Ashraf Ali Pages: 228 - 233 Abstract: The paper aims to review an important aspect of technology integration in education. The Foundations of Educational Technology: Integrative Approaches and Interdisciplinary Perspectives present various aspects of the foundation of technology in education. PubDate: 2023-03-21 DOI: 10.3991/ijet.v18i06.36989 Issue No:Vol. 18, No. 06 (2023)
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