Computer Education Research Articles

Exploring Cloud Computing for Education in Rural Nepal: Possibilities, Challenges, and Prospect

Rural education is one of the most significant subjects to talk about and a matter to resolve soon. As rural education in Nepal is very challenging, effective solutions can be brought into action, one of which is the use of technology. This study’s main goal is to investigate and evaluate the value and applicability of cloud computing for rural sector education in underdeveloped nations like Nepal. Through the infrastructure it offers, the usage of cloud computing in rural locations significantly increases the accessibility of essential educational computing services and applications to students and instructors. With applications in many different fields, cloud computing has experienced remarkable growth, and one of its most intriguing uses nowadays is in the educational sector. Due to the lack of schools, colleges, and universities in rural areas, the cloud computing system might be extremely helpful in increasing the education of students there. The primary goal of this study is to explore how formal, non-formal, and informal education are mixed for capital formation, empowerment, and self-sufficiency in rural communities. Its secondary goal is to chronicle the potential contributions of community learning centers in the process of rural transformation.

Prospective mathematics teachers’ TPACK development in graphical data displays: a microteaching lesson study

This case study investigated the development of prospective mathematics teachers’ technological pedagogical content knowledge (TPACK) in graphical data displays with (VM) within the context of a microteaching lesson study (MLS). This research investigated how five participants integrated technology and implemented a lesson plan aimed to teach statistical data displays. The MLS cycled through the phases of lesson plan design, discussion, implementation, and revision. Fundamental data was gathered through group discussions of which were operated through the lesson plans and video recordings of lesson implementation. The TPACK codebook (Hughes. 2013. Descriptive indicators of future teachers’ technology integration in the PK-12 classroom: Trends from a laptop-infused teacher education program. Journal of Educational Computing Research, 48(4), 491–516) was utilised to conduct a thorough analysis of the transcribed data through collaborative group discussions. The findings indicate that the MLS led to some improvements in the TPACK of the participants. In particular, participants developed a stronger knowledge of statistical content, pedagogical content, and technological content pertaining to data displays.

A Case Study of SW · AI Education for Multicultural Students in Jeju, Korea: Changes in Perception of SW · AI

The ratio of students with a multicultural background relative to the total number of students in South Korea is consistently going up due to the increasing number of multicultural students and decreasing school age population. Yet, the low level of digitalization in multicultural households requires an effort to address digital divide. This paper, accordingly, held an SW (software) and AI (artificial intelligence) camp on four occasions to 314 multicultural students living in Jeju and observed how the perception of participating students changed on SW and AI. The education camp was organized after analyzing the limitations of existing multicultural education and computer education as well as their issues. To validate effects of the education, a paired sample t-test before and after education and an independent sample t-test were carried out to make an analysis by education period and analyze education effect by background variables. Furthermore, text network analysis on short answers was made for an in-depth analysis of research results. It shows the research participants’ awareness of SW · AI changing for the positive post-camp in most sub-elements. However, self-efficacy of jobs related to SW · AI, which was one of the sub-elements, was lower post-camp than in pre-camp in a few cases. Since the average score of this particular element is noticeably lower than other average scores and research participants were not evenly distributed by grade, further improvement is warranted in follow-up research.

제주교육 관련 박사학위 논문의 연구 동향 분석

This study identified the trend of Jeju education-related research targeting doctoral
 dissertation. Doctoral dissertation were collected from ‘RISS’, ‘National Library of Korea’
 and ‘The National Assembly Library’, 70 papers were selected by reviewing whether or
 not they were related to Jeju education. And For keyword analysis, 466 keywords were
 derived and analyzed. The research results are as follows. 1) The first doctoral
 dissertation related to Jeju education was published in 1990. And since 2012, the
 frequency of dissertations publication has increased. From 1990 to 2007, 10
 dissertations were published outside of Jeju. Since 2008, dissertations has been
 published at Jeju National University. Of the total 60 dissertations published since 2008,
 48(80%) dissertations are published by Jeju National University. Doctoral dissertations
 are mostly related to science education and computer education. 2) The network
 attribute has low density between keywords. And the cluster coefficient is high. The
 structure of the network consists of ① keywords related to education programs, ②
 keywords related to humanities, arts, society, and nature in Jeju, which is expressed as
 'Jeju type' ③ keywords related to students & teacher ④ keywords related to curriculum
 and subject content, ⑤ keywords related to educational institutions and policies. Finally,
 based on the research results, the implications and directions of research related to Jeju
 education were suggested.

Development of a Design Science Artefact to Teach Computing Students a Systematic Literature Review

Teaching students to conduct a rigorous systematic literature review (SLR) may be challenging, given the growing output of scientific literature and the increasing plethora of supporting software and artificial intelligence tools such as ChatGPT. A SLR supported by design science artefacts and emerging artificial intelligence tools have the potential to overcome the challenges posed by increasing scientific literature. However, guidelines and steps required to conduct a SLR still need to be clarified in the existing literature. Furthermore, existing design science artefacts and software tools do not support teaching students to conduct rigorous systematic reviews. This paper presents guidelines on the required steps for a rigorous SLR and proposes a Researchbuddie artefact to support teaching SLR. Using a systematic review and design science findings, identify SLRs four main phases of planning, conducting, evaluating and reporting reviews, each supported by itemised sub-steps. Furthermore, a design science artefact Researchbuddie is proposed to support teaching SLR. Therefore, the paper contributes to guidelines for teaching SLR for Information Systems students with phases, sub-steps and a proposed Researchbuddie artefact.

A visual-language foundation model for pathology image analysis using medical Twitter.

The lack of annotated publicly available medical images is a major barrier for computational research and education innovations. At the same time, many de-identified images and much knowledge are shared by clinicians on public forums such as medical Twitter. Here we harness these crowd platforms to curate OpenPath, a large dataset of 208,414 pathology images paired with natural language descriptions. We demonstrate the value of this resource by developing pathology language-image pretraining (PLIP), a multimodal artificial intelligence with both image and text understanding, which is trained on OpenPath. PLIP achieves state-of-the-art performances for classifying new pathology images across four external datasets: for zero-shot classification, PLIP achieves F1 scores of 0.565-0.832 compared to F1 scores of 0.030-0.481 for previous contrastive language-image pretrained model. Training a simple supervised classifier on top of PLIP embeddings also achieves 2.5% improvement in F1 scores compared to using other supervised model embeddings. Moreover, PLIP enables users to retrieve similar cases by either image or natural language search, greatly facilitating knowledge sharing. Our approach demonstrates that publicly shared medical information is a tremendous resource that can be harnessed to develop medical artificial intelligence for enhancing diagnosis, knowledge sharing and education.

An Educational Computer Game: The Secret in Nature

Modern computer games use realistic animations, sound effects, and three-dimensional virtual environments to attract the attention of players. Forestry education achieved using digital computer games, such as developing students' planting information. Through it, learners can increase their motivation towards relevant subjects in a variety of fields. Learning becomes more interesting and curious when educational digital games are developed using the latest technology. An educational three-dimensional computer game was developed using the Unity game engine and C# coding language to provide information about nature to young people. A virtual environment and educational content were developed and can be used for educational purposes

Improve attention and hand coordination of children with learning disabilities using computerized approaches

Computer Assisted Instruction (CAI) is considered as an effective teaching-learning strategy for the effective plan, written and programmed in the computer that can be run in a several computer units and allows every student computer terminal. The instruction are programmed with the implementation of a computer disc (CD) played in audio, video, gaming, drag & drop, and simulation activity of students in their own pace. In the contemporary world the CAI is not underestimated with the instructional computer value. In human body disability is observed as the difficulty of the human body function. In Learning Disability (LD) is heterogeneous disorder groups with significant difficulties in acquisition for listening, speaking, reading, writing and reasoning. This research examined the contribution of CAI on the LD students. The analysis is based on the data collected from the LD diagnosed school students. The data were collected from the Special school in Riyadh in Saudi Arabia with the data collected from 245 sample students. The experimental analysis is conducted for the experimental and control group. The analysis is conducted based on the consideration of three variable such as hand-eye co-ordination, attention and academic performance. The analysis of data expressed that through CAI model the LD student eye-hand co-ordination, attention and academic performance is improved.

Lived Experiences of Public School Teachers in Teaching Computer System Servicing in the New Normal

Lived Experiences of Public School Teachers in Teaching Computer System Servicing in the New Normal

COMPUTER SCIENCE AND PRIMARY EDUCATION TEACHERS’ PERCEPTIONS, IN USING DIGITAL GAMES AS LEARNING TOOLS. OBSTACLES AND FACTORS THAT LEAD TO THEIR EFFECTIVE USE

Over the last decade, in addition to their entertainment dimension, digital games, have been used as teaching and learning tools. International literature has shown several studies that evaluate the effectiveness of digital games in the educational process. Many researchers argue that digital games can be of assistance to student’s learning and solving problems, as well as develop social and cognitive skills (Gee 2003, Prensky 2007, Oblinger & Oblinger 2005, Watson et al. 2011). This research aimed to computer science teachers and primary education teacher’s perceptions, regarding the use of digital games, as a teaching and learning tool, the factors that make their use effective, not to mention the barriers to their use. One hundred twenty teachers participated (70 computer science teachers and 50 teachers), by completing a questionnaire of fifteen questions, on a Likert scale and two open-ended questions. Results demonstrated that both teachers and computer educators agree that the use of digital games is a "good" practice, which enhances and enriches the learning process, provides motivation, and is an effective learning tool. Their design should be addressed to students’ personal needs and be based on learning principles. However, it has been observed that computer educators are the ones who use digital games in their teaching, more often as opposed to teachers. The main obstacles that prevent teachers from using technology in their classrooms are the lack of infrastructure, motivation, training, as well as the time available. The elements that seem to be taken into consideration by a teacher, in order to capitalize on digital games in the educational process, are personal needs and students’ particularities, as well as preparation, feedback and the setting of limits by the teachers. Research findings could be utilized in both digital play use in education and in its development, as a learning tool.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0036/a.php" alt="Hit counter" /></p>

Online teaching self-efficacy of physical therapy educators in the wake of COVID-19 pandemic

Background: Following COVID-19, higher educational institutions are advancing towards distance learning, which is a new experience for many educators. Self-efficacy is a cognitive trait related to perseverance and determination in overcoming the challenges. Objective: To assess the level of virtual teaching self-efficacy of physical therapy academicians. Methods: A descriptive cross-sectional study was conducted. All physical therapy educators who were offering online courses during the pandemic received a link to a web survey through Google forms. The Michigan Nurse Educator's Sense of Efficacy for Online Teaching instrument was implied to assess self-efficacy for teaching methods. Using a 32-items MNESEOT scale, study respondents were asked to rate their responses to questions about teaching methods on a Likert scale ranging over 'nothing' (1) to 'a great deal' (9). Mean scores were computed for every participant for different domains of instructional strategies, classroom management, student participation, and computer skills. Results: Faculty who were asked how effective they felt teaching online stated that they were most effective when using computers and instructional strategies (7.0), followed by classroom management (6.9) and student engagement (6.6) with a mean score of 27.50±4.7. Participants generally reported that they could prepare, conduct, and evaluate online courses to an extent greater than "some" to "quite a bit." Conclusion: It is concluded that the self-efficacy of study participants in online instruction was quite high.

Optimizing Strategy of Computer Teaching Mode in Universities Based on Continuous Discrete Method

Abstract To improve the teaching effect of computer courses, make students master computer knowledge, and improve computer operation skills, this paper proposes a computer teaching model of continuous, discrete methods in colleges and universities. This paper investigates the teaching mode of traditional computer teaching methods in colleges and universities and proposes a continuous, discrete computer teaching model for the drawbacks of traditional computer teaching methods. The discrete learning teaching matrix and teaching process are constructed using the information entropy-based rough set discretization algorithm. Moreover, the teaching effects are compared with traditional methods regarding students’ learning interests, homework completion, and test scores. In terms of homework completion rate: the correct homework rate of the class using the discrete learning method was 20% higher than that of the class using the traditional teaching method. Regarding skill and overall test scores, the number of students who excelled in the classes using discrete learning reached about 50%, 20% more than the conventional teaching method. 20% fewer students scored below 60 than in the classes using the conventional teaching method. Moreover, after implementing discrete learning concept teaching, students’ interest in learning increased by more than 40%. Therefore, it can be seen that the teaching mode of the discrete learning concept is beneficial to the teaching of computer courses.

Effectiveness of rational emotive behavior education (REBE) on computer anxiety among school teachers enrolled in e-learning.

Reports from past studies indicated that research on anxiety disorder is not extensive and further investigation is needed using different populations. Besides, psychological intervention for computer anxiety has not been given the required empirical attention. Given this, we investigated the effectiveness of rational emotive behavior education on computer anxiety among primary school teachers enrolled in e-learning. A pure experimental design was used, which helped to randomly assigned recruited 112 primary school teachers to 2 arms (treatment and control groups). The Computer Anxiety Scale was distributed before, immediately after, and 4 weeks after completion of intervention with 12 sessions that were given to the treatment group. The ANOVA results showed that rational emotive behavior education significantly decreased teachers computer anxiety. The mean computer anxiety score among instructors did not significantly differ by group or gender. Therefore, we recommended that computer educators, policymakers, and rational emotive behavior educators should organize rational and emotive-oriented conferences for schoolteachers.

A Multi-Strategy Computer-Assisted EFL Writing Learning System With Deep Learning Incorporated and Its Effects on Learning: A Writing Feedback Perspective

Language learning has increasingly benefited from Computer-Assisted Language Learning (CALL) technologies, especially with Artificial Intelligence involved in recent years. CALL in writing learning acknowledged as the core of language learning is being realized by technologies like Automated Writing Evaluation (AWE), and Automated Essay Scoring (AES), which have developed considerably in both computer and language education fields. AWE has effectively enhanced EFL students’ writing performance to some extent, but such technology can only provide an evaluation in the form of scores, the majority of which are based on holistic scoring, resulting in the inability to provide comprehensive and detailed content-based feedback. In order to provide not only the writing multiple trait-specific evaluation scores, but also detailed writing feedback, we proposed a computer-assisted EFL writing learning system incorporating the neural network models and a couple of semantic-based NLP techniques, MsCAEWL, which fully meets the requirements of writing feedback theory, i.e., multiple, continuous, timely, clear, and multi-aspect guidance interactive feedback. The results of comparison experiments with the AWE baseline models and human raters demonstrated the superiority and the high correlation contained by the proposed system. The independent-sample t-test and paired-sample t-test results of the experiments on MsCAEWL effect validation suggested the significant impact of our proposed system in enhancing students’ EFL writing proficiency.

A Study on the Design and Implementation Plan of Computer Network Architecture in Education and Teaching

With the rapid development of information technology, computer network has penetrated all aspects of education and teaching and become an indispensable infrastructure in modern teaching. On the one hand, the reasonable design and effective implementation of network architecture provide teachers with rich and diverse teaching means and platforms, greatly widening the teaching space and improving teaching efficiency; on the other hand, it also provides students with a more open and independent learning environment, making the time and space for learning greatly extended. However, it is an extremely challenging problem to design and implement a scientific and reasonable, safe, and reliable education and teaching computer network architecture to meet the growing diversified educational needs. Based on this, the article discusses in depth the design and implementation plan of computer network architecture in education and teaching, to provide some useful references and ideas for the construction of education informatization.

Reducing Underachievement and Promoting Critical Thinking Skills in Computer Studies Through a Culturally Sensitive Instructional Method

This study aims to determine the effectiveness of the Culturo-Techno-Contextual Ap- proach (CTCA) on students’ achievement and critical thinking skills in Computer Studies. The study was conducted in two phases. Phase one was a survey of difficult concepts in computer science/studies. While phase two explored the potency of the Culturo-Techno-Contextual Approach (CTCA) in breaking the barriers to meaningful learning of refractive indices. Results obtained from the survey in the first phase revealed 19 topics as a difficult topic among African secondary school students in computer studies. The second phase was guided by two research questions with two public junior secondary (JS) in Lagos State (Nigeria). About 38% of the respondents were males while about 62% were females. A critical thinking skills task (CTST), and an interview guide were used to collect data for the study. The data gathered was subjected to multivariate analysis of covariate (MANCOVA), and the results revealed a statistically significant difference in the methods used, multivariate F (Pillai’s Trace) was significant [F=17.67; p<.05], univariate ANOVA on achievement [F (2, 208) = 20.67; p<0.05]; and critical thinking skills [F (2, 208) = 15.14; p<0.05]. Within the scope of the study, it was tentatively recommended that CTCA should be adopted by computer studies teachers in the teaching of computer science/studies in secondary schools.

Research on the Application of Flipped Classroom in Computer Teaching

Research on the Application of Flipped Classroom in Computer Teaching

Scientific Research on French Language Teaching Methodology: Current State and Prospects

Scientific research on French language teaching methods is designed to solve the task of updating the French language teaching methods and technologies, taking into account the social order of our society at a specific stage of its development, the needs of those who study in accordancewith the modern educational context. In scientific studies on the methodology of teaching the French language, the goals, content, means, methods are theoretically substantiated and specified, methods of formation of various types of French-language communicative competence in specific learning conditions are practically developed. Analysis of the results of such studies, their generalization and publication makes it possible to improve the effectiveness of the French language learning in the context of the modern educational paradigm. Aims. Analysis, systematization of the scientific research carried out in Ukraine in 1991-2022 to identify the unsolved problems in the methodology of teaching the French language, improve the scientific level of future methodological research, and determine promising directions of scientific research in the methodology of teaching the French language. Methods. Analytical review of methodological studies and published works was used among other methods of scientific research to achieve our goal, systematization, generalization. Results. During the studied period, 12 candidate’s and 1 doctoral dissertations were defended in Ukraine on the specialty 13.00.02 – theory and teaching methods: Romance languages. The analysis of dissertations was carried out according to the following criteria: the subject of research (focus on the formation of target competencies); study subjects; theoretical achievements; the applied value of the research – a study guide / educational computer program, etc., which are available for use in the educational process by the wider academic community. Conclusions. It was found that the method of forming French-language phonetic competence, competence in reading and writing (spelling competence for students of higher education institutions), the Frenchlanguage competence in receptive types of speech activity, method of organizing extra-class / extraauditory work on the French language are unexplored.

The Application Status and Path of Project Teaching in Computer Teaching

The Application Status and Path of Project Teaching in Computer Teaching

Research on Reform Measures for Internet of Things and Cloud Computing Teaching

Research on Reform Measures for Internet of Things and Cloud Computing Teaching